financial reporting quality a literature review

Digitalization in Accounting and Financial Reporting Quality: Literature Review

• First Online: 29 October 2023

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• Latifa Jabor 3 &
• Allam Hamdan 3 , 4  

Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))

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Accounting activities are shown in the financial reports of banks, while the relevant literature has found that creative accounting highly impacts the quality of financial reporting. However, previous studies indicated the limited impacts of creative accounting determinants on the quality of financial reporting, whereas the phenomenon of financial reporting quality is still on the track of generating renewed research interest. A deductive research approach driven by a survey questionnaire was used as the research methodology to attain the objectives. Accordingly, purposive sampling was used to collect responses from 63 employees of Arab Bank—Bahrain. The data were analyzed statistically using the SPSS. The results show significant impacts of new technologies on financial reporting quality. Which includes the results of developing financial reports in the high quality of the data presented in the financial reports, as it reduced the time and effort spent in preparing these reports.

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Jabor, L., Hamdan, A. (2023). Digitalization in Accounting and Financial Reporting Quality: Literature Review. In: El Khoury, R., Nasrallah, N. (eds) Emerging Trends and Innovation in Business and Finance. Contributions to Management Science. Springer, Singapore. https://doi.org/10.1007/978-981-99-6101-6_59

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• DOI: 10.46959/jeess.959063
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• Published in Journal of Empirical… 25 September 2021
• Business, Economics

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Creative accounting determinants and financial reporting quality: systematic literature review.

1. Introduction

• What are the main determinants of creative accounting that impact the principles and characteristics of financial reporting?
• How do those determinants impact financial reporting quality?

2. Methodology

3. creative accounting, 3.1. motivations behind creative accounting, 3.1.1. agency problems, 3.1.2. executive reward, 3.1.3. share ownership scheme, 3.1.4. income smoothing, 3.2. creative accounting techniques, 3.2.1. tangible assets, 3.2.2. goodwill, 3.2.3. depreciation, 3.2.4. inventories, 3.2.5. provisions for liabilities, 3.2.6. construction contracts, 3.3. effects of creative accounting, 3.4. determinants of creative accounting, 3.4.1. ethical issues, 3.4.2. disclosure quality, 3.4.3. internal control, 3.4.4. ownership structure, 4. financial reporting, 4.1. financial reporting quality, 4.1.1. relevance, 4.1.2. faithful representation, 4.1.3. understandability, 4.1.4. comparability, 5. discussion, 6. conclusions, author contributions, acknowledgments, conflicts of interest.

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Abed, I.A.; Hussin, N.; Ali, M.A.; Haddad, H.; Shehadeh, M.; Hasan, E.F. Creative Accounting Determinants and Financial Reporting Quality: Systematic Literature Review. Risks 2022 , 10 , 76. https://doi.org/10.3390/risks10040076

Abed IA, Hussin N, Ali MA, Haddad H, Shehadeh M, Hasan EF. Creative Accounting Determinants and Financial Reporting Quality: Systematic Literature Review. Risks . 2022; 10(4):76. https://doi.org/10.3390/risks10040076

Abed, Ibtihal A., Nazimah Hussin, Mostafa A. Ali, Hossam Haddad, Maha Shehadeh, and Elina F. Hasan. 2022. "Creative Accounting Determinants and Financial Reporting Quality: Systematic Literature Review" Risks 10, no. 4: 76. https://doi.org/10.3390/risks10040076

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Financial Reporting Practices and Investment Decisions: A Review of the Literature

Industrial Engineering & Management

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Financial reporting is the primary means of communicating financial information to external parties, which are used as a basis for decision making. Financial statement information will have a utility value if obtained from quality financial reporting. Understanding the quality of financial reporting can be viewed in two perspectives. The first view states that the quality of financial reporting related to the company's overall performance is illustrated in corporate profits. Associated with the quality of which measures are focused on attributes that are believed to affect FRQ such as earnings management, financial restatements, and timeliness. The second view states that the quality of financial reporting related to the performance of the company's shares in the capital market. Which is getting stronger relationship between income in exchange markets shows that financial reporting information is getting higher. With the quality of financial reporting it can protect investor...

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Various literature review were carry out in order to assess the relation between Financial Reporting Quality and Investment. Nevertheless the relation between them requires more investigation from different perspective in order to extend our knowledge theoretically on what's been done and where the researches reached. this study present a systematic review on the relation between financial reporting quality and investment aiming to provide a comprehensive review of all articles addressed this topic till 2019. the main finding resulted of 28 articles and a model was built from the relation of different types of variables followed from the studies in order to extend our models. the main problem was with the frequency resulted from analyzing targeted relation. Moreover. Most of the studies was collected based on secondary data from the stock market and analyzed mainly by using the regression models, in additional to few surveys and qusi-experiments questionnaire and one interview. further , most of the articles were undertaken in Indonesia and Iran , followed by China then USA respectively among different countries. alongside by most of the studies which was analyzed were conducted in the context of corporation which is publicity listed in the stock market. Followed by private firms .our finding of this systematic review will enlighten the research targeting the relation between financial reporting quality and investment and would be helpful to spotlight future research guide and open opportunities for cross-disciplinary research .

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Valuation of financial reporting quality: is it an issue in the firm’s valuation?

Asian Journal of Accounting Research

ISSN : 2459-9700

Article publication date: 30 June 2023

Issue publication date: 7 November 2023

• Supplementary Material

The purpose of this study is to test the determinant of financial report quality and its consequences to the company values.

Design/methodology/approach

This research is using a quantitative approach and testing a theory by formulating some hypotheses. The sample of this study is 85 go public companies listed in the Indonesia Stock Exchange, for a 5-year observation period from 2016 to 2020. Hence, it has a total of 425 observations. Data were analyzed using path analysis.

The results found that innate factors from financial reporting quality (FRQ) consists of dynamic factors (operation cycle and sales volatility) as well as static factors (firm’s size, FS). These factors help to achieve FRQ and are able to provide a positive response to the market. On the other hand, static factors (firm’s age, FA) and institution risk factors (leverage) are not able to produce FRQ. Thus, it cannot be considered as an economic decision maker for an investor.

Practical implications

Research implications include theoretical and practical implications. Theoretical implications prove that the valuation of clean surplus theory, which shows the market value of the company, is reflected in the components of the financial statements. This study also uses more than one quality of financial reporting. The practical implication of the research is that the research results are expected to provide information for the company’s management, to fulfill quality financial reporting and so that the market or investors will respond positively to these conditions. In addition, quality financial reporting information provides benefits for investors and capital market analysts (consisting of investors, brokers and market securities analysts) in determining investment decisions. The Financial Services Authority is also able to improve the implementation of corporate governance practices in Indonesia, through reform of the framework supervision of the financial services sector.

Originality/value

This research examines the determinants of FRQ and its consequences on firm’s value (FV). Innate factors proxies from FRQ include dynamic factors (operation cycle and sales volatility), static factors (FS and FA) and institution risk factors (leverage). A follow-up study on the value of the company because it shows the magnitude of the market response (financial statement users) on the quality of financial reporting, which is reflected in FV, the originality of this research is that the object of research is carried out in developing countries, specifically in Indonesia, because most of the previous research was carried out in developed countries.

• Dynamic factors
• Static factor
• Institution risk factor
• Financial reporting quality

Asyik, N.F. , Agustia, D. and Muchlis, M. (2023), "Valuation of financial reporting quality: is it an issue in the firm’s valuation?", Asian Journal of Accounting Research , Vol. 8 No. 4, pp. 387-399. https://doi.org/10.1108/AJAR-08-2022-0251

Emerald Publishing Limited

Copyright © 2023, Nur Fadjrih Asyik, Dian Agustia and Muchlis Muchlis

Published in Asian Journal of Accounting Research . Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

1. Introduction

The general overview on the financial report quality had been studied by many researchers. Therefore, an agreement had been created to support the convergence of accounting standard harmonization that will be impacted within the financial reporting. Some phenomena occurred in an accounting scandal in the early 21st century, which showed us the weakness in the financial reporting quality (FRQ). The financial report quality depends on the value on the accounting report; hence, it is important for a company to provide a high-quality financial report. Research shows that a quality financial report will be both impactful and useful in making an investment decision. The concept of a quality financial report is not only for containing financial information but also non-financial, which will be useful in making an economic decision ( Herath et al ., 2017 ; Asyik et al ., 2022 ).

The quality of financial reports will be studied from two distinct aspects. First, the quality of a financial report shows the company’s performance, which reflected on the profit information. It can be said that financial report information has a high quality if the profit obtained in the current year can be used as an indicator to generate profit in the future ( Dang et al ., 2020 ) or as cash revenue in the future ( Noury et al ., 2020 ). Second, the quality of financial reporting is related to the company’s market performance, which is listed in the stock exchange. The strong relationship between profit and a stock’s market price proved that financial reporting information will be responded to positively by either the market or investors ( Dang et al ., 2020 ).

The purpose of financial reporting is to provide financial statement users with financial information that is useful for making economic decisions ( Kaawaase et al ., 2021 ). A valid decision can be made if the information in the financial statements meets the quality of financial information, including being presented in an appropriate, relevant, comparable, understandable, timely and verifiable manner. In addition, the quality of financial reporting is also useful in making decisions regarding the allocation of resources owned by the company. Fulfillment of the quality of financial reporting will be able to inform the company’s ability to manage both internal and external sources of funds, and meet the right elements of accountability ( Lin et al ., 2016 ).

Studies related to the quality of the financial reporting can be done by using two different approaches. The first approach is to evaluate the causes of the financial report quality. This approach is to examine the company’s internal causes or characteristics. Those are dynamic innate (operational cycle and sales volatility), static (company’s size and its age) and institution risk factor (leverage). The second approach is the external market’s response to determine the majority of which is using the financial reporting. This response will be determined by the value of the company ( Al-Dmour and Al-Dmour, 2018 ). Lonkani (2018) stated that the company’s value is not merely related to the external stakeholders’ relationship or the users of financial reporting such as investors and creditors, however, it is also considering an implicit relationship to be evaluated in the valuation process. Besides that, the meaning of the company’s valuation is not solely for one group of people (in this case investors), who will obtain the maximum level of gain from company’s operational activities.

This study is to examine the determinant of the quality of financial reporting and its consequences to the company’s valuation. The proxy of innate factors involves dynamic factors (operational cycle and sales volatility), static factors (firm’s size, FS and its age) and, lastly, institutional risk factors (leverage). This study contributes both theoretically and practically. Theoretically, this research shows that valuation of clean surplus theory which determines the firm’s market value reflected in the financial report component ( Asyik et al ., 2023 ). This study has employed more than one FRQ. Practically, the findings of this study will provide information to management in order to produce a quality financial report, which will then be responded to positively by the market and investors. Furthermore, a quality financial report will benefit investors and stock market’s analysts (investors, brokers and market security analyst) in making an investment decision.

2. Literature review and hypothesis development

2.1 theoretical foundation, 2.1.1 quality of financial report.

According to ( IASB, 2018 ), the information quality revealed in the firm’s financial report can help users evaluate the benefit of the financial report. Therefore, financial reports must be presented accurately, comparably, be verifiable, on time and understandable. Hence, it must be transparent and error-free. It is important that the financial report must be on time and predictable as an indicator to produce high-quality financial report ( Mbawuni, 2019 ).

The IASC, which was established in 1973, published the first IAS in 1975. Since then, the process for establishing IAS has undergone significant change, culminating in the reorganization of the IASC into the IASB in 2001. The IASC changed to the IASB to answer the challenge of how financial reporting should be carried out and further develop high-quality and global accounting standards, namely IFRS (International Financial Reporting Standard). The world's great demand today is to be oriented towards one reporting standard that applies globally so as to increase the credibility and usefulness of financial reports as well as financial transparency. In 2000, the International Organization of Securities Commissions recommended that global securities regulators permit foreign issuers to use IAS for cross-border offerings ( IOSCO, 2000 ). IOSCO facilitates the offering of these securities with high quality, internationally accepted accounting standards used by multinational issuers through collaboration with the International Accounting Standards Committee (IASC) to develop a set of accounting standards. Since 2005, nearly all publicly traded companies in Europe and numerous other nations have been required to produce financial statements in accordance with International Financial Reporting Standards (IFRS). In addition, the Financial Accounting Standards Board has begun an extensive initiative to converge IFRS and US accounting standards ( Barth et al ., 2008 ).

2.1.2 Information usefulness of accounting

An organization which organized the accounting standards fully support that financial reports have the purpose of presenting financial information which will benefit users. The purpose is to have a better understanding of the firm’s financial position ( IASB, 2018 ; Rusdiyanto et al ., 2021 ). Thus, users can make economic decisions. Accounting information is used to evaluate the business performance, and it is also useful for owners to do some analysis in evaluating business operation. Financial ratios can be used as an indicator to compare its performance against other firms within the same business or industry standard ( Vitez and Seidel, 2019 ). This can help owners to understand how good its company is, compared to others.

2.1.3 Clean surplus theory

Clean surplus theory is a foundation theory that is relevant to the accounting information value. This theory mentions that the firm’s value (FV) is reflected in the accounting data, which is shown on the financial report ( Ohlson, 1995 ). Clean surplus theory has an impact on the development of financial accounting theory, especially as it can demonstrate that the FV has an equal value with dividend financial accounting variable or cash flow. This was then followed by more research in predicting profit ( Scott, 2015 , p. 233; Schroeder et al. , 2020 ). According to ( Djaballah, 2019 ), financial information has the function of forecasting and analysis which describe the firm’s condition. It shows that financial reports are not only used as an information perspective for users but also have the benefits to evaluate the usage of the financial report.

2.2 Conceptual framework

Figure 1 is available in supplementary material to article.

2.3 Hypothesis development

2.3.1 testing of the dynamic factors of financial reporting quality and its impact on the firm’s value.

To achieve this objective, the IASC and IASB have issued principle-based accounting standards and taken measures to eliminate allowable accounting alternatives and mandate accounting measurements that more accurately reflect a company’s economic position and performance. Accounting amounts that more accurately reflect a company’s underlying economics, whether because of principle-based accounting standards or required accounting measurements, can improve accounting quality because they provide investors with information to assist them in making investment decisions. The relationship between these two sources of higher accounting quality is that limiting managers’ opportunistic discretion increases the extent to which accounting quantities reflect a company’s underlying economics. According to Ewert and Wagenhofer (2005 ), developing a rational expectations model that demonstrates that accounting standards that limit opportunistic discretion results in accounting earnings that are more reflective of a firm’s underlying economics and, therefore, are of higher quality ( Barth et al ., 2008 ).

Innate factors of the quality financial reporting consist of an operation cycle, sales volatility, firms’ size and firms’ age. In this case, a firms’ operation cycle is the most important variable to operate a company. Hence, it needs a firm’s operation cycle, which can be understood by all employees ( Arachchi et al. , 2017 ). High sales volatility shows that sales information has the wrong estimation, which can cause un-persistent results ( Nezami et al ., 2018 ; Prasetyo et al ., 2023 ). The unstable sales proxied by high sales volatility will make lower firms’ valuation and vice versa. The quality of financial reporting is especially important in maintaining the efficiency of financial markets because market participants, such as investors, lenders and regulators, rely on financial reporting information to make decisions. A series of studies have discussed the impact of the 2008 financial crisis on the quality of financial reporting ( Prasetyo et al ., 2023 ). Like those of the 2008 financial crisis, coronavirus disease 2019 (COVID-19) has caused significant disruption to financial markets and the global economy, but the impact of COVID-19 on the quality of financial reporting is unclear. To date, only a few studies have successfully investigated this issue, but none have focused on settings with strong country-level governance ( Prabowo et al ., 2020 ). Our study uses data from the UK where country-level governance is strong and will add to the current literature. Furthermore, corporate governance has always been a major concern in studies of financial crises ( Hsu and Yang, 2022 ; Agustia et al. , 2020 ).

The results of the study show that there is a positive relationship between managerial ownership, institutional ownership and financial reporting transparency. These results indicate that corporate governance has a significant relationship with financial reporting transparency. This is because the transparency of the financial reporting of companies whose shares are attractive to investors who are active in financial markets, is one of the main elements of the contemporary economy. Enhancing the transparency and accountability of the activities of economic organizations requires the principle of organizational social responsibility and thereby monitoring its implementation. The findings of this study indicate a positive relationship between corporate governance and transparency. This study is unique in that it emphasizes the importance of financial reporting transparency, and the impact of Islamic State of Iraq and Syria (ISIS) on corporate governance attributes ( Salehi et al ., 2022 ).

A firm’s operational cycle will determine the quality of the financial report, either good or bad. A firm with a longer operational cycle shows unexpected things, as inaccurate estimation will occur. Some errors of estimation will produce low accrual value as a result it will have low quality of financial reporting ( Dechow and Dichev, 2002 ). Sales volatility shows the ability to forecast the cash flow in the future. High sales volatility will produce low financial report performance, and it is due to some noises in the firm’s profit ( Cohen, 2008 ).

The longer of a firm’s operational cycle is resulted in low quality of financial report, hence, low firm’s valuation.

The higher sales volatility of a firm is resulted in low quality of financial report, hence, low firm’s valuation.

2.3.2 Testing of the static factors of financial reporting quality and its impact on the firm’s value

Most of the research found that the size and age of a firm influence the value of a company. Big firms have stable financial condition ( Rouf, 2018 ). It is, therefore, increasing the company’s value; hence, it attracts investors. As a result, increasing the stock market price will affect and increase the value of one firm. According to accounting theory, the primary goal of reporting is to offer useful information to those who are most interested in financial reports. Data derived from the accounting information system represent one of the most reliable resources at the disposal of users to make decisions about business entities. The ultimate outcome of accounting information systems is financial reporting. All users rely on these financial reports to assess business entities. If financial reporting is of standard quality, it will allow users to make accurate decisions. Major users of such information include investors, creditors, employees, customers, commercial creditors and government. These sound decisions will lead to systematic allocation of resources, which will have a significant impact on the optimum allocation of resources in the economy of a country. In this respect, one of the determining factors that enhance the quality of information and reduce the information risk of corporate reports is provision of higher quality audit services ( Shiri et al ., 2018 ).

Fraud in accounting refers to an intentional action that results in the incorrect presentation of financial statements, so it is of immense importance in the accounting literature. Numerous studies on contributing factors to the chance of fraudulent reporting outbreak showed that one of the factors is the knowledge-based economy that provides useful information about the firm’s financial performance. Hence, a knowledge-based economy plays a significant role in enhancing the performance of business firms and improving FRQ. In this study, using various knowledge-based economy criteria, we attempted to assess the relationship between the knowledge-based economy and the chance of fraudulent reports in listed firms on the Tehran Stock Exchange. The results show that knowledge-based economy indicators (including innovation, training and human resources, information infrastructure and communication infrastructure and institutional and economic regimes) lower firms’ chance of fraudulent reporting. In other words, by lowering the information asymmetry between managers and investors and subsequently increasing financial reporting transparency, a knowledge-based economy can lead to the decline of opportunistic behavior of managers and fraudulent reports. The obtained results in this paper confirm that of concerning a negative relationship between financial statements fraud ( Koolivand et al ., 2021 ).

Furthermore, the firm’s size shows that a firm with a larger scale is more stable with better operational conditions. Thus, it is unlikely to have some errors on the estimation. Besides that, a larger firm will have the ability to do some diversifications as it will reduce errors on the estimation ( Arif et al ., 2016 ). The longer firm’s existence will have stronger operation. As a result, the financial performance will have small accrual variability ( Arif et al ., 2016 ). Shin and Kim (2018) as well as Dempster and Oliver (2019) emphasized that the high compliance on the accounting standard consistently will show the factual condition of one firm. This research will use the accrual value as proxy in the fundamental ability of a firm to sustain its existence. By using the higher standard accrual size quality is resulted in low accrual usage. The higher number of quality financial reporting is resulted in high prediction of the market value in the future ( Siladjaja and Anwar, 2020 ).

The financial report includes financial statements and informative instruments or procedures. These instruments, either directly or indirectly, are associated with accounting information such as a firm’s resources, assets, debts and profits. Financial reporting’s main objective is to reveal the economic effects of commercial units’ financial performance. According to the Financial Accounting Standards Board, this objective presents valuable information concerning the investors’ expected cash flow to make wise decisions. Features of corporate governance and structure affect the quality of financial reporting ( Salehi et al ., 2021 ).

The larger of a firm’s size is resulted in high quality of financial report, hence, high firm’s valuation.

The older of a firm’s age is resulted in high quality of financial report, hence, high firm’s valuation.

2.3.3 Testing of the risk factor of financial reporting quality and its impact on the firm’s value

The higher the leverage of a firm is resulted in high quality of financial report, hence, low firm’s valuation.

3. Methodology

3.1 research design, population and sample.

This research is using a quantitative approach and testing a theory by formulating some hypotheses. Then, data are collected to support or argue the hypotheses that had been formulated. The population in this research is all of the companies listed in Indonesia Stock Exchange. The purposive sampling is applied in this research, only companies which had been doing their Initial Public Offering (IPO) in the Indonesia Stock Market before 2016 with completed data will be included in the sample. Therefore, 85 companies with 5 years observations from 2016 to 2020 are included. Thus, a total of 425 observations.

3.2 Research variables

3.2.1 innate factors.

Operation cycle (OC)

Operation cycle (OC) is measured by using the time average between purchasing inventory, and the cash flow received by the seller. It is the whole business transaction from the customer ( Dechow et al ., 1994 ).

Sales Volatility (SV)

Sales volatility (SV) is the degree of sales spread or spread index distribution of sales ( Dechow and Dichev, 2002 ).

Description: Sales of 5 Year it  = Sales firm i since 2016–2020, Total Asset Year it  = Total Asset firm i since year  t .

Firm’s Size (FS)

FS is the scale of one company ( Dechow and Dichev, 2002 ).

Firm’s Age (FA)

Firm’s age (FA) is the length of the operation of a firm ( Arif et al ., 2016 ).

Firm age = Year observation – Year founded.

Leverage (L)

Leverage (L) is funding for operational or investment from external ( DeAngelo et al ., 1994 ).

Description: Liability Total it  = Total debt firm I year  t , Asset Total it  = Total assets firm i year  t .

3.2.2 Financial reporting quality (FRQ)

FRQ is measured by using accrual quality, which is revenue that is acknowledged at the time of a firm’s existence. Due to the hand-over of goods to external and some expenses or liabilities from the purchase of goods.

Description: TA it = Firm’s Net Income minus cash flow of firm i year t , CFO it −1 = Cash flow from operations firm i year t , Asset Total it = Total Assets firm i year t , Sales it = Sales firm i year t , Equity Book Value = Stock price * number of stock shares firm i year t , Equity Market Value = Equity total * number of stock shares firm i year t .

3.2.3 Firm’s value (FV)

FV is measured by using Tobin’s Q ratio, which represents the FV by combining both book value and market equity’s value. This measurement is better, as it summarized future information which relevant to investment decision. Furthermore, it provides information about market’s perception toward firm’s valuation from many different factors such as investors. According to ( Suhadak et al ., 2018 ), the larger ratio of Tobin’s Q shows that a firm has good and positive prospect.

3.3 Statistics analysis

Data were analyzed using path analysis. One of the important components in doing path analysis, is path diagram. Path diagram is produced to represent causal relationship among research variables. S t r u c t u r a l   M o d e l   I : F V   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + ε i t S t r u c t u r a l   M o d e l   I I : F R Q   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + ε i t S t r u c t u r a l   M o d e l   I I I : F V   = β 0   + β 1 F R Q i t   + ε i t

Hypothesis Model: F V   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + β 5 F R Q i t   + ε i t

4. Research results and discussion

4.1 descriptive statistics.

The descriptive statistic can show the company’s sample variable mean (average), standard deviation, minimum and maximum. The data of the firms listed from 2016 to 2020 are displayed in the following:

Table 1 is available in supplementary material to article.

There are 425 observations in total, as explained by the following: the minimum value of the OC is 0.00, the maximum value is 4861.52, the standard deviation (std-dev) is 426.09, and the mean value of all data is 144.77. The minimum value of the SV is 0.00, the maximum value is 58,526.67, the mean score/value of all data is 1,119.39, and the std-dev is 5,133.43. The minimum value of the FS is 5.89, the maximum value is 15.97, the mean value of all data is 11.59, and the std-dev is 1.68. The minimum score of the FA is 0.00, the maximum value of the FA is 0.63.00, the std-dev is 1.52, and the mean value of all data is 31.48. The minimum score of FRQ is 0.00, and the maximum score is 3.32; the mean score of all data is 0.41, and the standard deviation is 0.39. For the FV, the minimum value is 0.00, the maximum value is 301,331.46, the mean value is 7,253.63, and the standard deviation is 24,311.82.

4.2 Structural model testing

4.2.1 structural model test i (direct effect of independent variables on firm’s value).

The following is the result of direct effect of independent variables on FV (Table 2) based on the structural model I: S t r u c t u r a l   M o d e l   I : F V   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + ε i t

Table 2 is available in supplementary material to article.

4.2.2 Structural model test II (direct effect of independent variables on financial reporting quality)

Table 3 shows the result of direct effect of independent variables on FRQ with significance level 0.05 ( α  = 5%). Hence, the formula for the structural model II is as follows: S t r u c t u r a l   M o d e l   I I : F R Q   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + ε i t

Table 3 is available in supplementary material to article.

4.2.3 Structural model test III (direct of financial reporting quality on firm’s value)

Table 4 is the result of the structural model test III with significance level of 0.05 ( α  = 5%). The formula is as follows:

Structural Model III: FV it  =  β 0  +  β 1 FRQ + ε it

Table 4 is available in supplementary material to article.

4.2.4 Structural model test IV ( Hypothesis 1 until Hypothesis 5 )

Table 5 is the result of the structural model test III with significance level of 0.05 ( α  = 5%). The formula is as follows: S t r u c t u r a l   M o d e l   I V : F V   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + β 5 F R Q i t   + ε i t

4.3 Hypothesis testing ( Hypothesis 1 until Hypothesis 5 )

Table 5 is the result of the structural model test with significance level of 0.05 ( α  = 5%). The formula is as follows: F V   = β 0   + β 1 O C i t   + β 2 S V i t   + β 3 F S i t   + β 4 F A i t   + β 5 L i t   + β 5 F R Q i t   + ε i t Table 5 is available in supplementary material to article.

4.4 Interpretation of research findings

Table 5 shows that the direct test of operating cycle on FV shows a negative effect with a beta-value of −0.002 and a significance value of 0.000; however, there is no direct impact of operating cycle on the quality of financial reporting with a beta-value of −0.546, and a significance value of 0.842. This study supports H1 , found an indirect impact negatively of the operating cycle on FV through the quality of financial reporting with a total effect of −0.001 with a significance value of 0.000 so it is significant at the 1% level. This shows that companies that have longer operating cycles generate greater estimation uncertainty and estimation errors, which can result in lower accrual quality and also lower earnings quality due to reduced ability to predict future cash flows. Longer operating cycles cause greater uncertainty, make accruals more dependent (noise) and are less helpful in predicting future cash flows. This result is supported Arachchi et al. (2017) and Dechow and Dichev (2002) .

The findings in table 5 show that there are in favor of direct impact negatively of SV on FV with a beta-value of −0.000, and a significance value of 0.000 and also a direct impact negatively of SV on FRQ with a beta-value of −1.260 and a significance value of 0.000. Furthermore, this study supports H2 , which finds that there is an indirect effect of SV on FV through the quality of financial reporting, with a total effect of −0.000 with a significance value of 0.000; so, it is significant at the 1% level. SV is often a major concern for users of financial statements, especially investors who certainly expect high profits from company activities. SV is the degree of dispersion of sales or the index of dispersion of a company’s sales distribution. SV indicates a volatility of the operating environment and greater deviations from approximations and estimates, and corresponds to greater estimation errors and lower accrual quality Dechow and Dichev (2002) . If high SV indicates that sales information has a greater estimation error than sales information in the operating environment, then the company’s profit is not persistent and cannot be used as a reference for predicting profits in the next period. The fact describes high SV. Yet, research shows that profit is still able to predict cash flow in the future, as the generated profit does not contain too many problems Dechow and Dichev (2002) . These results support Nezami et al . (2018) and Cohen (2008) .

The results in table 5 show that there is a direct impact positively on the FS to the FV with a beta-value of −0.958, and a significance value of 0.000 as well as direct impact positively of the FS to the FRQ with a beta-value of 8,388,561 and a significance value of 0.000. This study is also supported H3 with a total effect of 8,036.241 with a significance value of 0.000. So, it is significant at the 1% level. it means there is an indirect impact positively of the FS to the FV, through FRQ. It can be said that the FS is a static innate factor; it means that the FS can have an impact on the financial report quality as it has the ability to do some diversifications on the business portfolio variations and relatively high politic cost. Companies that have large total assets indicate that the company has reached the maturity stage where in this stage the company’s cash flow is positive and is considered to have good prospects in a relatively long period of time, besides that the larger the size of the company, the more transparent and accountable the company will be improve the quality of financial reports. This research supports Rouf (2018) and Arif et al . (2016) .

The results of this study do not support direct effect positively of FA on the FV with a beta-value of −0.001, and a significance value of 0.142 and a direct effect positively of FA on FRQ with a beta-value of 1.762 and a significance value of 0.610. The results of the H4 test also do not support the indirect effect positively of FA on FV through FRQ with a total effect of −0.002 with a significance value of 0.152. so, it is not significant. Descriptive statistic data show the average of the FA is 31 years. However, there is also a firm that is only 2 years of age. Therefore, this firm does not have too many experiences in running a company’s operations. Conversely, a company that has been active in the business world for a long time will have the experience to attract more investors and have the ability to beautify the company’s financial statements. The longer the life of a company in running a business, the more reliable the company will be in compiling financial reports in accordance with the standards that have been applied. Companies that have been operating for a long time have good experience in preparing quality financial reports. Workers who work for a long time have the skills to prepare higher quality financial reports. As a result, this study does not support Rouf (2018) and Arif et al . (2016) .

Further, findings do not support direct impact negatively on leverage to the FV with a beta-value of −0.041 and a significance value of 0.942 and direct impact of leverage to the FRQ with a beta-value of −3,737.551 and a significance value of 0.188. Besides that, this study of the H5 does not support indirect impact positively of leverage on the FV through FRQ with a total effect of 153.240 with a significance value of 0.256 so it is not significant. In this research, the average leverage is relatively small that is 0.14; hence, it cannot be the main factor that can increase creditor’s confidence to loan their money to the company. The amount of company leverage will cause the company to improve the quality of financial statements with the aim of maintaining good performance of investors and auditors. However, not all companies are able to conduct this activity because it really depends on the credibility of the company. The higher the level of leverage of a company, the higher the risk that the company accepts and not all companies are able to face this risk. So, the greater the leverage of a company does not necessarily produce quality financial reports, and a company that has a low level of leverage does not necessarily produce quality financial reports. This research does not support Rouf (2018) and Cohen (2008) .

5. Conclusion

The quality of financial reporting is related to the overall company’s performance. It is reflected in the firm’s profit. The first opinion stated that quality profit is reflected on the sustainability of stable net profit. Later, the second opinion claimed that the quality of financial reporting is related to the market’s performance in the stock exchange. The stronger relationship between profit and market reward shows high financial report performance. The findings of this research exhibits information on the innate factors from the FRQ. It involves some factors such as dynamic factors (OC and SV) and static factors (FS). These factors are needed to achieve FRQ and is able to provide positive respond to the market. On the other hand, static factors (FA) and institutional risk factors (leverage) are not able to produce high-quality financial reporting. Hence, these factors are not used by investors to make an economic decision.

5.1 Implications of research results

Research implications include theoretical and practical implications. Theoretical implications prove that the valuation of clean surplus theory, which shows the market value of the company, is reflected in the components of the financial statements. This study also uses more than one quality of financial reporting. The practical implication of the research is that the research results are expected to provide information for the company’s management to fulfill quality financial reporting, and that the market or investors will respond positively to these conditions. In addition, quality financial reporting information provides benefits for investors and capital market analysts (consisting of investors, brokers and market securities analysts) in determining investment decisions. The Financial Services Authority is also able to improve the implementation of corporate governance practices in Indonesia through reform of the framework supervision of the financial services sector.

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Acknowledgements

Note: Supplementary materials that are included in the article are available online.

Erratum: It has come to the attention of the publisher that the article Asyik, N.F., Agustia, D. and Muchlis, M. (2023), “Valuation of financial reporting quality: is it an issue in the firm’s valuation?”, Asian Journal of Accounting Research , Vol. 8 No. 4, pp. 387-399. https://doi.org/10.1108/AJAR-08-2022-0251 , was originally published with the tables/figures presented as supplementary material via external links that do not meet Emerald’s latest repository requirements; these have now been amended and the supplementary material hosted here to ensure that it remains accessible in perpetuity: https://www.emerald.com/insight/content/doi/10.1108/AJAR-08-2022-0251 .

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• Open access
• Published: 09 September 2024

Exploring the impact of housing insecurity on the health and wellbeing of children and young people in the United Kingdom: a qualitative systematic review

• Emma S. Hock 1 ,
• Lindsay Blank 1 ,
• Hannah Fairbrother 1 ,
• Mark Clowes 1 ,
• Diana Castelblanco Cuevas 1 ,
• Andrew Booth 1 ,
• Amy Clair 2 &
• Elizabeth Goyder 1  

BMC Public Health volume  24 , Article number:  2453 ( 2024 ) Cite this article

Metrics details

Housing insecurity can be understood as experiencing or being at risk of multiple house moves that are not through choice and related to poverty. Many aspects of housing have all been shown to impact children/young people’s health and wellbeing. However, the pathways linking housing and childhood health and wellbeing are complex and poorly understood.

We undertook a systematic review synthesising qualitative data on the perspectives of children/young people and those close to them, from the United Kingdom (UK). We searched databases, reference lists, and UK grey literature. We extracted and tabulated key data from the included papers, and appraised study quality. We used best fit framework synthesis combined with thematic synthesis, and generated diagrams to illustrate hypothesised causal pathways.

We included 59 studies and identified four populations: those experiencing housing insecurity in general (40 papers); associated with domestic violence (nine papers); associated with migration status (13 papers); and due to demolition-related forced relocation (two papers). Housing insecurity took many forms and resulted from several interrelated situations, including eviction or a forced move, temporary accommodation, exposure to problematic behaviour, overcrowded/poor-condition/unsuitable property, and making multiple moves. Impacts included school-related, psychological, financial and family wellbeing impacts, daily long-distance travel, and poor living conditions, all of which could further exacerbate housing insecurity. People perceived that these experiences led to mental and physical health problems, tiredness and delayed development. The impact of housing insecurity was lessened by friendship and support, staying at the same school, having hope for the future, and parenting practices. The negative impacts of housing insecurity on child/adolescent health and wellbeing may be compounded by specific life circumstances, such as escaping domestic violence, migration status, or demolition-related relocation.

Housing insecurity has a profound impact on children and young people. Policies should focus on reducing housing insecurity among families, particularly in relation to reducing eviction; improving, and reducing the need for, temporary accommodation; minimum requirements for property condition; and support to reduce multiple and long-distance moves. Those working with children/young people and families experiencing housing insecurity should prioritise giving them optimal choice and control over situations that affect them.

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Introduction

The impacts of socioeconomic position in childhood on adult health outcomes and mortality are well documented in quantitative analyses (e.g., [ 1 ]). Housing is a key mechanism through which social and structural inequalities can impact health [ 2 ]. The impact of housing conditions on child health are well established [ 3 ]. Examining the wellbeing of children and young people within public health overall is of utmost importance [ 4 ]. Children and young people (and their families) who are homeless are a vulnerable group with particular difficulty in accessing health care and other services, and as such, meeting their needs should be a priority [ 5 ].

An extensive and diverse evidence base captures relationships between housing and health, including both physical and mental health outcomes. Much of the evidence relates to the quality of housing and specific aspects of poor housing including cold and damp homes, poorly maintained housing stock or inadequate housing leading to overcrowded accommodation [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ]. The health impacts of housing insecurity, together with the particular vulnerability of children and young people to the effects of not having a secure and stable home environment, continue to present a cause for increased concern [ 7 , 8 , 11 , 14 ]. The National Institute for Health and Care Research (NIHR) Public Health Reviews (PHR) Programme commissioned the current review in response to concerns about rising levels of housing insecurity and the impact of housing insecurity on the health and wellbeing of children and young people in the United Kingdom (UK).

Terminology and definitions related to housing insecurity

Numerous diverse terms are available to define housing insecurity, with no standard definition or validated instrument. For the purpose of our review, we use the terminology and definitions used by the Children’s Society, which are comprehensive and based directly on research with children that explores the relationship between housing and wellbeing [ 15 ]. They use the term “housing insecurity” for those experiencing and at risk of multiple moves that are (i) not through choice and (ii) related to poverty [ 15 ]. This reflects their observation that multiple moves may be a positive experience if they are by choice and for positive reasons (e.g., employment opportunities; moves to better housing or areas with better amenities). This definition also acknowledges that the wider health and wellbeing impacts of housing insecurity may be experienced by families that may not have experienced frequent moves but for whom a forced move is a very real possibility. The Children’s Society definition of housing insecurity encompasses various elements (see Table  1 ).

Housing insecurity in the UK today – the extent of the problem

Recent policy and research reports from multiple organisations in the UK highlight a rise in housing insecurity among families with children [ 19 , 22 , 23 ]. Housing insecurity has grown following current trends in the cost and availability of housing, reflecting in particular the rapid increase in the number of low-income families with children in the private rental sector [ 19 , 22 , 24 ], where housing tenures are typically less secure. The ending of a tenancy in the private rental sector was the main cause of homelessness given in 15,500 (27% of claims) of applications for homelessness assistance in 2017/18, up from 6,630 (15% of claims) in 2010/11 for example [ 25 ]. The increased reliance on the private rented sector for housing is partly due to a lack of social housing and unaffordability of home ownership [ 23 ]. The nature of tenure in the private rental sector and gap between available benefits and housing costs means even low-income families that have not experienced frequent moves may experience the negative impacts of being at persistent risk of having to move [ 26 ]. Beyond housing benefit changes, other changes to the social security system have been linked with increased housing insecurity. The roll-out of Universal Credit Footnote 1 , with its built-in waits for payments, has been linked with increased rent arrears [ 27 , 28 ]. The introduction of the benefit cap, which limits the amount of social security payments a household can receive, disproportionately affects housing support and particularly affecting lone parents [ 29 , 30 , 31 ].

The increase in families experiencing housing insecurity, including those living with relatives or friends (the ‘hidden homeless’) and those in temporary accommodation provided by local authorities, are a related consequence of the lack of suitable or affordable rental properties, which is particularly acute for lone parents and larger families. The numbers of children and young people entering the social care system or being referred to social services because of family housing insecurity contributes further evidence on the scale and severity of the problem [ 32 ].

The COVID-19 pandemic exacerbated housing insecurity in the UK [ 24 ], with the impacts continuing to be felt. In particular, the pandemic increased financial pressures on families (due to loss of income and increased costs for families with children/young people at home). These financial pressures were compounded by a reduction in informal temporary accommodation being offered by friends and family due to social isolation precautions [ 24 ]. Further, the COVID-19 pandemic underscored the risks to health posed by poor housing quality (including overcrowding) and housing insecurity [ 24 , 33 ]. Recent research with young people in underserved communities across the country also highlighted their experience of the uneven impact of COVID-19 for people in contrasting housing situations [ 34 ].

While the temporary ban on bailiff-enforced evictions, initiated due to the pandemic, went some way towards acknowledging the pandemic’s impact on housing insecurity, housing organisations are lobbying for more long-term strategies to support people with pandemic-induced debt and rent-arrears [ 33 ]. The Joseph Rowntree Foundation has warned of the very real risk of a ‘two-tier recovery’ from the pandemic, highlighting the ‘disproportionate risks facing people who rent their homes’ ([ 35 ], para. 1). Their recent large-scale survey found that one million renting households worry about being evicted in the next three months, and half of these were families with children [ 35 ]. The survey also found that households with children, renters from ethnic minority backgrounds and households on low incomes are disproportionately affected by pandemic-induced debt and rent arrears [ 35 ].

The cost-of-living crisis is exacerbating the impact of the COVID-19 pandemic, with many households experiencing or set to experience housing insecurity due to relative reductions in income accompanying increases in rent and mortgage repayments [ 36 ]. People experiencing or at risk of housing insecurity are disproportionately affected, due to higher food and utility costs [ 37 ].

Research evidence on relationships between housing in childhood and health

Housing is a key social determinant of health, and a substantive evidence base of longitudinal cohort studies and intervention studies supports a causal relationship between the quality, affordability and stability of housing and child health [ 38 ]. Evidence includes immediate impacts on mental and physical health outcomes and longer-term life course effects on wider determinants of health including education, employment and income as well as health outcomes [ 39 ].

The negative health impact of poor physical housing conditions has been well documented [ 40 , 41 ]. Housing instability and low housing quality are associated with worse psychological health among young people and parents [ 42 , 43 ]. The UK National Children’s Bureau [ 22 ] draws attention to US-based research showing that policies that reduced housing insecurity for young children can help to improve their emotional health [ 44 ], and that successful strategies for reducing housing insecurity have the potential to reduce negative outcomes for children with lived experience of housing insecurity, including emotional and behavioural problems, lower academic attainment and poor adult health and wellbeing [ 45 ]. A variety of pathways have been implicated in the relationship between housing insecurity and child health and wellbeing, including depression and psychological distress in parents, material hardships and difficulties in maintaining a good bedtime routine [ 38 ]. Frequent moves are also associated with poorer access to preventive health services, reflected, for example, in lower vaccination rates [ 46 , 47 ].

Housing tenure, unstable housing situations and the quality or suitability of homes are inter-related [ 48 ]. For example, if families are concerned that if they lost their home they would not be able to afford alternative accommodation, they may be more likely to stay in smaller or poor-quality accommodation or in a neighbourhood where they are further from work, school or family support. In this way, housing insecurity can lead to diverse negative health and wellbeing impacts relating to housing and the neighbourhoods, even if in the family does not experience frequent moves or homelessness [ 49 ]. Thus, the relationship between housing insecurity and child health is likely to be complicated by the frequent coexistence of poor housing conditions or unsuitable housing with housing insecurity. The relationship between unstable housing situations and health outcomes is further confounded by other major stressors, such as poverty and changes in employment and family structure, which may lead to frequent moves.

The evidence from cohort studies that show a relationship between housing insecurity, homelessness or frequent moves in childhood and health related outcomes can usefully quantify the proportion of children/young people and families at risk of poorer health associated with housing instability. It can, however, only suggest plausible causal associations. Further, the ‘less tangible aspects of housing’ such as instability are poorly understood [ 40 ]. Additional (and arguably stronger) evidence documenting the relationship between housing insecurity and health/wellbeing comes from the case studies and qualitative interviews with children and young people and families that explore the direct and indirect impacts of housing insecurity on their everyday lives and wellbeing. Thus, the current review aimed to identify, appraise and synthesise research evidence that explores the relationship between housing insecurity and the health and wellbeing among children and young people. We aimed to highlight the relevant factors and causal mechanisms to make evidence-based recommendations for policy, practice and future research priorities.

We undertook a systematic review synthesising qualitative data, employing elements of rapid review methodology in recognition that the review was time-constrained. This involved two steps: (1) a single screening by one reviewer of titles and abstracts, with a sample checked by another reviewer; and (2) a single data extraction and quality assessment, with a sample checked by another reviewer) [ 50 , 51 , 52 ]. The protocol is registered on the PROSPERO registry, registration number CRD42022327506.

Search strategy

Searches of the following databases were conducted on 8th April 2022 (from 2000 to April 2022): MEDLINE, EMBASE and PsycINFO (via Ovid); ASSIA and IBSS (via ProQuest) and Social Sciences Citation Index (via Web of Science). Due to the short timescales for this project, searches aimed to balance sensitivity with specificity, and were conceptualised around the following concepts: (housing insecurity) and (children or families) and (experiences); including synonyms, and with the addition of a filter to limit results to the UK where available [ 53 ]. To expedite translation of search strings across different databases, searches prioritised free text search strings (including proximity operators), in order to retrieve relevant terms where they occurred in titles, abstracts or any other indexing field (including subject headings). The searches of ASSIA and IBSS (via ProQuest) and Social Sciences Citation Index (via Web of Science) used a simplified strategy adapted from those reproduced in Additional File 1. Database searching was accompanied by scrutiny of reference lists of included papers and relevant systematic reviews (within search dates), and grey literature searching (see Supplementary Table 1, Additional File 2), which was conducted and documented using processes outlined by Stansfield et al . [ 54 ].

Inclusion criteria

We included qualitative studies, including qualitative elements of mixed methods studies from published and grey literature (excluding dissertations and non-searchable books), that explored the impact of housing insecurity, defined according to the Children’s Society [ 15 ] definition (which includes actual or perceived insecurity related to housing situations), on immediate and short-term outcomes related to childhood mental and physical health and wellbeing (up to the age of 16), among families experiencing / at risk of housing insecurity in the UK (including low-income families, lone-parent families, and ethnic minority group families including migrants, refugees and asylum seekers). Informants could include children and young people themselves, parents / close family members, or other informants with insight into the children and young people’s experiences. Children and young people outside a family unit (i.e., who had left home or were being looked after by the local authority) and families from Roma and Irish Traveller communities were excluded, as their circumstances are likely to differ substantially from the target population.

Study selection

Search results from electronic databases were downloaded to a reference management application (EndNote). The titles and abstracts of all records were screened against the inclusion criteria by one of three reviewers and checked for agreement by a further reviewer. Full texts of articles identified at abstract screening were screened against the inclusion criteria by one reviewer. A proportion (10%) of papers excluded at the full paper screening stage were checked by a second reviewer. Any disagreements were resolved through discussion.

Grey literature searches and screening were documented in a series of tables [ 54 ]. One reviewer (of two) screened titles of relevant web pages and reports against the inclusion criteria for each web platform searched, and downloaded and screened the full texts of potentially eligible titles. Queries relating to selection were checked by another reviewer, with decisions discussed among the review team until a consensus was reached.

One reviewer (of two) screened reference lists of included studies and relevant reviews for potentially relevant papers. One reviewer downloaded the abstracts and full texts of relevant references and assessed them for relevance.

Data extraction

We devised a data extraction form based on forms that the team has previously tested for similar reviews of public health topics. Three reviewers piloted the extraction form and suggested revisions were agreed before commencing further extraction. Three reviewers extracted and tabulated key data from the included papers and grey literature sources, with one reviewer completing data extraction of each study and a second reviewer formally checking a 10% sample for accuracy and consistency. The following data items were extracted: author and year, location, aims, whether housing insecurity was an aim, study design, analysis, who the informants were, the housing situation of the family, reasons for homelessness or housing insecurity, conclusion, relevant policy/practice implications and limitations. Any qualitative data relating to housing insecurity together with some aspect of health or wellbeing in children and young people aged 0–16 years were extracted, including authors’ themes (to provide context), authors’ interpretations, and verbatim quotations from participants. We sought to maintain fidelity to author and participant terminologies and phrasing throughout.

Quality appraisal

Peer-reviewed academic literature was appraised using the Critical Appraisal Skills Programme (CASP) checklist for qualitative studies [ 55 ] and the quality of grey literature sources (webpages and reports) was appraised using the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) checklist [ 56 ]. Because of concerns about the lack of peer review and/or the absence of a stated methodology, it was decided to use the AACODS tool that extends beyond simple assessment of study design. A formal quality assessment checklist was preferred for journal articles that passed these two entry criteria. One reviewer performed quality assessment, with a second reviewer formally checking a 10% sample for accuracy and consistency.

Development of the conceptual framework

Prior to undertaking the current review, we undertook preliminary literature searches to identify an appropriate conceptual framework or logic model to guide the review and data synthesis process. However, we were unable to identify a framework that specifically focused on housing insecurity among children and young people and that was sufficiently broad to capture relevant contexts, exposures and impacts. We therefore developed an a priori conceptual framework based on consultation with key policy and practice stakeholders and topic experts and examination of key policy documents (see Fig.  1 ).

A priori conceptual framework for the relationship between housing insecurity and the health and wellbeing of children and young people

We initially consulted policy experts who identified relevant organisations including research centres, charities and other third sector organisations. We obtained relevant policy reports from organisational contacts and websites, including Child Poverty Action Group (CPAG), Crisis, Joseph Rowntree Foundation (JRF) and HACT (Housing Association Charitable Trust), NatCen (People Living in Bad Housing, 2013), the UK Collaborative Centre for Housing Evidence (CaCHE), and the Centre on Household Assets and Savings Management (CHASM) (Homes and Wellbeing, 2018). We also identified a key report on family homelessness from the Children’s Commissioner (Bleak Houses. 2019) and a joint report from 11 charities and advocacy organisations published by Shelter (Post-Covid Policy: Child Poverty, Social Security and Housing, 2022). We also consulted local authority officers with responsibility for housing and their teams in two local councils and third sector providers of housing-related support to young people and families (Centrepoint). Stakeholders and topic experts were invited to comment on the potential focus of the review and the appropriate definitions and scope for the ‘exposure’ (unstable housing), the population (children and young people) and outcomes (health and wellbeing). Exposures relate to how children and families experience housing insecurity, impacts are intermediate outcomes that may mediate the effects of housing insecurity on health and wellbeing (e.g., the psychological, social, and environmental consequences of experiencing housing insecurity), and outcomes are childhood health and wellbeing effects of housing insecurity (including the effects of the impacts/intermediate outcomes).

The contextual factors and main pathways between housing-related factors and the health and wellbeing of children and young people identified were incorporated into the initial conceptual framework. We then used this conceptual framework to guide data synthesis.

Data synthesis

We adopted a dual approach whereby we synthesised data according to the a priori conceptual framework and sought additional themes, categories and nuance inductively from the data, in an approach consistent with the second stage of ‘best fit framework synthesis’ [ 57 , 58 ]. We analysed inductive themes using the Thomas and Harden [ 59 ] approach to thematic synthesis, but coded text extracts (complete sentences or clauses) instead of coding line by line [ 60 , 61 ].

First, one reviewer (of two) coded text extracts inductively and within the conceptual framework, simultaneously, linking each relevant text extract to both an inductive code based on the content of the text extract, and to an element of the conceptual framework. We assigned multiple codes to some extracts, and the codes could be linked to any single element or to multiple elements of the conceptual framework. During the process of data extraction, we identified four distinct populations, and coded (and synthesised) data discretely for each population. We initially coded data against the ‘exposure’, ‘impacts’ and ‘outcomes’ elements of the conceptual framework, however we subsequently added a further element within the data; ‘protective factors’. One reviewer then examined the codes relating to each element of the conceptual framework and grouped the codes according to conceptual similarity and broader meaning, reporting the thematic structure and relationships between concepts apparent from the text extracts both narratively and within a diagram to illustrate hypothesised causal pathways within the original conceptual framework, to highlight links between specific exposures, impacts and outcomes for each population. While we synthesised the findings by population initially, and present separate diagrams for each population, we present overall findings in this manuscript due to several similarities and then highlight any important differences for the domestic violence, migrant/refugee/asylum seeker, and relocation populations.

Study selection and included studies

Here we report the results of our three separate searchers. First, the database searches generated 3261 records after the removal of duplicates. We excluded 3025 records after title and abstract screening, examined 236 full texts, and included 16 peer-reviewed papers (reporting on 16 studies). The reasons for exclusion of each paper are provided in the Supplementary Table 2, Additional File 3. Second, we examined 726 grey literature sources (after an initial title screen) and included 37 papers. Third, we examined 85 papers that we identified as potentially relevant from the references lists of included papers and relevant reviews, and included six (two of which were peer-reviewed publications). Figure  2 summarises the process of study selection and Table 2  presents a summary of study characteristics. Of the included studies, 16 took place across the UK as a whole, one was conducted in England and Scotland, one in England and Wales and 17 in England. In terms of specific locations, where these were reported, 13 were reported to have been conducted in London (including specific boroughs or Greater London), two in Birmingham, one in Fife, two in Glasgow, one in Leicester, one in Rotherham and Doncaster, and one in Sheffield. The location of one study was not reported (Table 2 ).

Flow diagram of study selection

We identified four distinct populations for which research evidence was available during the process of study selection and data extraction:

General population (evidence relating to housing insecurity in general) (reported in 40 papers);

Domestic violence population (children and young people experiencing housing insecurity associated with domestic violence) (reported in nine papers);

Migrant, refugee and asylum seeker population (children and young people experiencing housing insecurity associated with migration status) (reported in 13 papers);

Relocation population (evidence relating to families forced to relocate due to planned demolition) (reported in two papers).

Evidence relating to each of these populations was synthesised separately as the specific housing circumstances may impact health and wellbeing differently and we anticipated that specific considerations would relate to each population. Some studies reported evidence for more than one population.

Quality of evidence

The quality of evidence varied across the studies, with published literature generally being of higher quality than grey literature and containing more transparent reporting of methods, although reporting of methods of data collection and analysis varied considerably within the grey literature. All 18 peer-reviewed studies reported an appropriate methodology, addressing the aim of the study with an adequate design. Eleven of the 18 peer-reviewed studies reported ethical considerations, and only two reported reflexivity. Most studies had an overall assessment of moderate-high quality (based on the endorsement of most checklist items) and no studies were excluded based on quality. Most of the grey literature originated from known and valued sources (e.g., high-profile charities specialising in poverty and housing, with the research conducted by university-based research teams). Although methodologies and methods were often poorly described (or not at all), primary data in the form of quotations was usually available and suitable to contribute to the development of themes within the evidence base as a whole. Quality appraisals of included studies are presented in Supplementary Tables 3 and 4, Additional File 4.

Housing insecurity and the health and wellbeing of children and young people

The updated conceptual framework for the impact of housing insecurity on the health and wellbeing of children aged 0–16 years in family units is presented in Fig.  3 for the general population, Fig.  4 for the domestic violence population, Fig.  5 for the refugee/migrant/asylum seeker population, and Fig.  6 for the relocation population (arrows represent links identified in the evidence and coloured arrows are used to distinguish links relating to each element of the model). Table 3 outlines the themes, framework components and studies reporting data for each theme.

Conceptual framework for the relationship between housing insecurity and health and wellbeing in the general population

Conceptual framework for the relationship between housing insecurity and health and wellbeing in the domestic violence population

Conceptual framework for the relationship between housing insecurity and health and wellbeing in the migrant, refugee and asylum seeker population

Conceptual framework for the relationship between housing insecurity and health and wellbeing in the relocation population

Exposures are conceptualised as the manifestations of housing insecurity – that is, how the children and young people experience it – and housing insecurity was experienced in multiple and various ways. These included trouble paying for housing, eviction or the prospect of eviction, making multiple moves, living in temporary accommodation, and the inaccessibility of suitable accommodation.

Fundamentally, a key driver of housing insecurity is poverty. Parents and, in some cases, young people cited the high cost of housing, in particular housing benefit not fully covering the rent amount [ 116 ], trouble making housing payments and falling into arrears [ 15 , 92 , 97 ]. Sometimes, families were evicted for non-payment [ 15 , 102 ], often linked to the rising cost of housing [ 109 ] or loss of income [ 102 ]. Some children and young people were not aware of reasons for eviction [ 90 ], and the prospect of facing eviction was also a source of housing insecurity [ 116 ].

The cost of housing could lead to families having to move multiple times [ 116 ], with lack of affordability and the use of short-term tenancies requiring multiple moves [ 109 , 116 ]. Children and young people were not always aware of the reasons for multiple moves [ 15 ]. Multiple moves could impact upon education and friendships [ 77 , 82 ].

Living in temporary housing was a common experience of housing insecurity [ 15 , 71 , 87 , 90 , 94 , 98 , 111 , 112 , 113 , 114 ]. Temporary housing caused worry at the thought of having to move away from school and friends [ 91 ] and acute distress, which manifested as bedwetting, night waking and emotional and behavioural issues at school [ 66 ]. Living in a hostel for a period of time could lead to friendship issues due to not being able to engage in sleepovers with friends [ 102 ].

The inaccessibility of suitable accommodation also contributed to insecurity. Sometimes, when a family needed to move, they had to fulfil certain requirements, for instance, to decorate their overcrowded 3-bedroom accommodation to be eligible for a more suitable property [ 15 ]. Further, some families encountered the barrier of landlords who would not accept people on benefits [ 15 , 85 , 117 ]. Waiting lists for social housing could be prohibitively long [ 97 , 98 , 116 ].

Dual exposures and impacts

Some phenomena were found to be both exposures and impacts of housing insecurity, in that some issues and experiences that were impacts of housing insecurity further exacerbated the living situation, causing further insecurity. These included not feeling safe, exposure to problematic behaviour, living far away from daily activities, overcrowding, and poor or unsuitable condition properties.

Not feeling safe was frequently reported by children and young people, and by parents in relation to the safety of children and young people. Parents and children and young people described being moved to neighbourhoods or localities [ 15 , 69 , 87 , 90 , 103 ] and accommodation [ 87 , 97 , 109 , 112 , 113 , 114 ] that did not feel safe. For one family, this was due to racial abuse experienced by a parent while walking to school [ 69 ]. In one case, a young person’s perception of safety improved over time, and they grew to like the neighbours and area [ 15 ], although this was a rare occurrence.

Often, this experience of being unsafe was due to exposure to problematic behaviour in or around their accommodation, including hearing other children being treated badly [ 112 ], being exposed to violence (including against their parents) [ 111 , 112 , 114 ], witnessing people drinking and taking drugs [ 69 , 83 , 90 , 111 , 112 , 114 ], finding drug paraphernalia in communal areas [ 112 , 114 ] or outside spaces [ 69 ], hearing threats of violence [ 111 ], hearing shouting and screaming in other rooms [ 114 ], witnessing people breaking into their room [ 83 ], and witnessing their parent/s receiving racist abuse and being sworn at [ 83 ].

‘There’s a lot [of] drugs and I don’t want my kids seeing that… One time he said ‘mummy I heard a woman on the phone saying ‘I’m going to set fire to your face’’ She was saying these things and my son was hearing it.’ ( [ 111 ] , p.15)

Another impact related to the family and children and young people being isolated and far away from family, friends, other support networks, work, shops, school and leisure pursuits due to the location of the new or temporary housing [ 15 , 83 , 87 , 97 , 104 , 109 ]. This affected education, friendships, finances and access to services (see ‘ Impacts ’).

Overcrowding was another issue that was both a source or feature of housing insecurity, as this created a need to move, as well as being an impact, in that families moved to unsuitable properties because they had little alternative. Overcrowding was largely a feature of temporary accommodation that was too small for the family [ 67 , 91 ], including hostels/shared houses where whole families inhabited one room and washing facilities were shared [ 100 , 102 ]. In turn, overcrowding could mean siblings sharing a room and/or bed [ 15 , 41 , 64 , 71 , 78 , 109 , 111 , 112 , 113 , 114 , 116 ] (which could lead to disturbed sleep [ 15 ]), children/young people or family members sleeping on the floor or sofa [ 15 , 71 , 102 , 110 ] (which caused aches and pains in children/young people; [ 100 ]), children/young people sharing a room with parents [ 64 , 71 , 94 , 109 , 111 , 112 , 113 , 114 ], a room being too small to carry out day to day tasks [ 112 , 113 , 114 ], a lack of privacy in general (e.g., having to change clothes in front of each other) [ 70 , 111 , 112 , 114 ], living in close proximity to other families [ 114 ], and cramped conditions with little room to move when too many people and possessions had to share a small space [ 15 , 64 , 90 , 97 , 103 , 109 , 114 ].

It’s all of us in one room, you can imagine the tension…. everyone’s snapping because they don’t have their own personal space …it’s just a room with two beds. My little brother has to do his homework on the floor.’ ( [ 97 ] , p..43)

It was thus difficult for children and young people to have their own space, even for a short time [ 98 ], including space to do schoolwork [ 102 , 103 ], play [ 91 ] or invite friends over [ 103 ]. Families sometimes ended up overcrowded due to cohabiting with extended family [ 110 ] or friends [ 91 , 102 ] (‘hidden homelessness’). Other families outgrew their property, or anticipated they would in future, when children grew older [ 70 , 116 ]. Overcrowding sometimes meant multiple families inhabiting a single building (e.g., a hostel or shelter), where single parents had difficulties using shared facilities, due to not wanting to leave young children alone [ 100 ]. Overcrowding could also lead to children feeling unsafe, including being scared of other people in shared accommodation [ 102 ], experiencing noise [ 102 ], and feeling different from peers (due to not having their own room or even bed) [ 102 ]. Living in overcrowded conditions could lead to, or exacerbate, boredom, aggressive behaviour, and mental health problems among children and young people (see ‘ Outcomes ’) [ 72 , 79 , 91 ]. Overcrowded conditions caused a ‘relentless daily struggle’ for families ([ 83 ], p.48).

Similarly, the need to take whatever property was on offer led to families living in properties in poor condition, which in turn could exacerbate housing insecurity, both because families needed to escape the poor condition housing and because they were reluctant to complain and ask for repairs on their current property in case the landlord increased the rent or evicted them [ 86 , 96 ]. Eviction was perceived as a real threat and families described being evicted after requesting environmental health issues [ 74 ] and health and safety issues [ 116 ] be addressed. Families experienced issues relating to poor condition properties, including accommodation being in a poor state of decoration [ 98 ], broken or barely useable fixtures and fittings [ 86 , 90 , 96 ], no laundry or cooking facilities [ 102 ], no electricity [ 67 ], no or little furniture [ 67 , 102 ], broken appliances [ 71 , 96 , 97 ], structural failings [ 97 ], unsafe gardens [ 90 ], mould [ 71 , 90 , 96 , 97 , 104 , 109 ], and bedbugs and/or vermin [ 67 , 76 , 77 ]. Even where the property condition was acceptable, accommodation could be unsuitable in other ways. Many families with young children found themselves living in upper floor flats, having to navigate stairs with pushchairs and small children [ 71 , 74 , 78 , 83 , 87 , 92 , 109 ]. One study reported how a family with a child who had cerebral palsy and asthma were refused essential central heating and so had to request a property transfer [ 75 ]. Lack of space to play was a particular issue in relation to temporary accommodation, often due to overly small accommodation or a vermin infestation [ 80 , 87 , 91 ]. In small children, the effects included health and safety risks [ 87 , 112 ] and challenges keeping them occupied [ 112 ]. In older children and young people, a lack of space meant a lack of privacy [ 63 , 112 ]. School holidays could be particularly challenging, particularly when outside play spaces were unsuitable due to safety concerns (e.g., people selling drugs, broken glass) [ 87 , 106 ], and some temporary accommodation restricted access during the daytime [ 112 ]. With shared temporary accommodation, such as a refuge or hostel, came the threat of possessions being removed by others [ 80 ].

Impacts are defined here as intermediate outcomes that may mediate the effects of housing insecurity on health and wellbeing, for instance, the psychological, social, and environmental consequences of experiencing housing insecurity. According to the evidence reviewed, these were overwhelmingly negative, with only a very small number of positive impacts, and, in many cases, these were offset by other negative impacts. Impacts on friendships, education, family relationships, diet, hygiene, access to services, feelings of being different, feelings of insecurity, parental wellbeing, the financial situation of the family, experiences of noise, leaving negative situations behind, and other impacts, such as leaving pets behind and time costs, were noted. Overlaying all of the above was a lack of choice and control experienced by the children/young people and their families.

A particularly large and disruptive impact of housing insecurity was the effect on friendships and social networks. Over multiple moves, children and young people faced the challenge of building new social networks and reputations each time [ 15 , 90 , 106 ], and worried about maintaining existing friendships [ 90 ]. The beneficial side to this was the potential to have friends all over town, although this was offset by difficulty in forming close friendships due to frequent moves [ 15 ]. Children and young people in temporary, overcrowded or poor condition accommodation often felt ashamed of their housing and concealed it from their friends [ 15 , 73 , 78 , 111 , 112 , 114 , 115 ], and in one case missing out on sleepovers with friends [ 102 ]. Moving far from friends presented difficulties in maintaining friendships and a social life, leading to boredom and isolation [ 102 , 114 ]. The threat of an impending long-distance move could cause sadness and worry [ 114 ] and young people missed the friends they had left behind [ 15 , 90 ]. Other associated social impacts of housing insecurity exacerbated by the wider experience of poverty included turning turn down invitations to go out with friends for financial reasons [ 115 ] or to avoid leaving a parent alone with younger sibling/s [ 114 ], and feeling different from peers, either because of looking unkempt or lacking in confidence [ 115 ].

Another key impact of housing insecurity was the effect on education, and this was closely intertwined with friendship impacts. Faced with moving, often multiple times, sometimes to uncertain locations, families were faced with the decision to keep the same school or to change schools. Multiple moves and/or an unfeasibly long journey to school, led to either a decision to, or anticipating the prospect of having to, change schools [ 15 , 66 , 90 , 91 , 102 , 106 , 108 , 111 , 116 ]. This could in turn impact on the child’s sense of stability, academic performance and friendships [ 90 , 105 , 106 , 111 , 115 , 116 ] and make them feel sad [ 102 ]. In the case of one family, staying at the same school during a move resulted in decreased educational attainment [ 69 ].

Staying at the same school created some stability and allowed for friendships and connections with teachers and the school to be maintained [ 15 , 102 ]. This was, however, quite often the only option, due to the family not knowing their next location, and thus which school they would be near [ 15 , 102 , 113 ], and was not without issues. Those who were unhappy with school were thus effectively prevented from changing schools due to housing insecurity [ 15 , 90 ]. Families were often re-housed at a considerable distance from the school [ 15 , 70 , 93 , 94 , 113 ]. This meant having to get up very early for a long journey by public transport [ 15 , 66 , 70 , 77 , 88 , 90 , 94 , 102 , 105 , 106 , 111 , 113 ], which also caused problems maintaining friendships [ 115 ], increased tiredness and stress [ 15 , 66 , 77 , 102 , 111 , 113 , 114 , 115 ] and left little time for homework and extra-curricular activities [ 113 , 114 , 115 ]. Some children and young people stayed with friends or relatives closer to school on school nights, although these arrangements were not sustainable longer-term [ 15 , 90 ].

Living in temporary housing was associated with practical challenges in relation to schooling, for instance, keeping track of uniform and other possessions, limited laundry facilities, and limited washing facilities [ 112 , 115 ]. Parents noted academic performance worsened following the onset of housing problems [ 111 , 113 , 116 ]. Limited space and time to do homework or revision [ 111 , 112 , 113 , 114 , 115 ], tiredness and poor sleep [ 111 , 113 ], travelling and disrupted routines [ 114 ], disruptions from other families (e.g. in a hostel) [ 114 ], a lack of internet connection [ 114 ], and the general impact of the housing disruption [ 111 , 113 , 116 ] made it challenging for those experiencing housing insecurity to do well at school. Families often had to wake up early to access shared facilities in emergency accommodation before school [ 113 , 114 ]. Some children and young people missed school altogether during periods of transience, due to multiple moves rendering attendance unviable [ 71 , 106 , 111 ], lack of a school place in the area [ 109 ], or not being able to afford transport and lunch money [ 81 ], which in turn affected academic performance [ 106 , 111 ].

‘Their education was put on hold. My daughter was ahead on everything in her class and she just went behind during those two weeks.’ ([ 111 ] , p.15)

Children and young people also experienced an impact on immediate family relationships. Housing insecurity led to reduced family wellbeing [ 82 ], and family relationships becoming more strained, for instance, due to spending more time at friends’ houses that were far away [ 15 ]. In some cases, however, housing insecurity led to improved family relationships, for instance, in terms of a non-resident father becoming more involved [ 15 ], or children feeling closer to their parents [ 106 ].

Some impacts related to the child’s health and wellbeing. Impacts on diet were reported, including refusal of solid food (which affected growth) [ 113 ], stress and repeated moves leading to not eating properly (which resulted in underweight) [ 91 ], insufficient money to eat properly [ 15 , 99 , 106 ], a lack of food storage and preparation space [ 102 , 103 , 112 ], and a hazardous food preparation environment [ 112 ]. Unsuitable temporary accommodation, including converted shipping containers, hostels, B&Bs and poorly maintained houses were particularly likely to be associated with a wide range of other well-being related impacts. Unsuitable accommodation presented various problems, including excessive heat, dripping water, overcrowding, damp, dirt, electrical hazards, vermin, flooding and a lack of washing and laundry facilities [ 41 , 67 , 71 , 74 , 76 , 77 , 81 , 87 , 88 , 102 , 104 , 106 , 109 , 112 , 116 ]. Moving could also impact on access to services and continuity of care, including being unable to register with general practitioners [ 82 ], and difficulty in maintaining continuity of medical care [ 65 ].

Psychological impacts of housing insecurity included feeling different from peers [ 115 ], feeling disappointed in each new property after being initially hopeful [ 15 ], and having trouble fitting in, in a new area [ 15 ]. Feeling insecure (including uncertainty over when and where the next move will be, or if another move is happening) was a further impact of living in insecure housing situations (including temporary housing, making multiple moves, being evicted) [ 15 , 87 , 90 , 114 , 116 ], leading to stress and worry [ 15 , 114 ].

One of the major issues that [she] says affects her mental health is the uncertainty of their situation. She says it is hard to not know where they will be staying one night to the next. It is also difficult to adjust to living without her furniture and clothes ( [ 114 ] , p.17)

Multiple moves, or anticipating a move, disrupted children and young people’s sense of continuity and led to the experience of a loss of security and stability more generally [ 15 , 85 , 87 ]. This led children and young people to feel responsible for helping and providing support to their parents, including hiding their feelings [ 111 , 114 ], or not requesting things be bought [ 15 , 113 ]. Children and young people also felt a sense of displacement and a lack of belonging [ 15 , 115 ]. Loss of stability and security triggered a desire for stability, to be able to settle, have friends over, and not have to worry about moving [ 109 ].

Housing insecurity also had a negative effect on parent-wellbeing, and this impacted the wellbeing of young people both directly [ 15 , 65 , 102 , 106 ] and indirectly through increased arguments and family stress [ 15 , 93 ] and reduced parental ability to care for children with chronic conditions [ 41 ]. Parents also perceived their reduced wellbeing as negatively impacting their children's development [ 41 ]. The threat of sanctions for missed housing payment could lead to reduced well-being among the whole family, characterised by feelings of despair, failure and a loss of hope [ 93 ].

Moving also had a financial impact on families. Moving into much smaller temporary accommodation meant that possessions had to be left behind, with the family having to pay for decorating, carpets, curtains and furniture each time they moved [ 15 , 84 , 98 , 104 , 105 ], incurring considerable debt [ 98 ]. If the new location was far away from school, family, friends and, in some cases, shops, then the family incurred travel costs [ 15 , 87 , 94 , 112 , 114 ]. Because of all this, children and young people’s requests for possessions or experiences (e.g., trips out) were refused [ 113 ].

Excessive noise was another disruption that children and young people experienced in connection with their precarious housing situation. Sources of noise were traffic on a main road [ 15 ] a factory nearby [ 110 ], or from other people in a B&B, hotel, hostel, or neighbouring properties [ 15 , 91 , 102 , 106 , 112 ], and could disrupt sleep and daily activities.

If their current conditions were sufficiently bad, some children and young people felt positively about moving, to leave negative things behind. For instance, a move could take them close to friends [ 15 ] or they may have more space in the new property [ 15 ]. Quite often, however, negative impacts of moving seemed to offset any benefit [ 90 ].

Frequent moves could impact on children and young people’s health and wellbeing in other ways. Space might be even more squeezed by cardboard boxes in preparation for an impending move [ 15 ]. Some children reported having to leave beloved pets behind [ 90 ]. Time costs associated with moving meant less time for other activities [ 15 ]. Multiple moves, particularly across local authority boundaries, could impact the family’s access to services [ 41 , 71 ], including health services [ 90 ], specialist healthcare required to manage children’s health conditions [ 83 ], and social services [ 85 , 93 ].

One key impact that overlaid all of the above but was rarely mentioned was a lack of choice or control [ 109 ]. This was inherent in the families’ and children/young people’s accounts of their experiences of housing insecurity, through talk of not knowing where their next move would be or when, and having to move long distances away from the places they used frequently and the people who supported them. Even the journey into housing insecurity was often outside of families’ control, such as increases in rent, change in income, or eviction notices (see ‘ Exposure ’). Families often could not improve properties in poor condition because they could not afford repairs to properties in poor condition, so felt they had to live with these problems [ 90 ]. Some families avoided reporting problems to the landlord for fear of a rent increase or eviction (see ‘ Exposure ’). Children and young people in particular felt that they lacked control over their housing situation, and in some cases were not aware of reasons for moves [ 15 ].

Several childhood health and wellbeing outcomes have been documented in relation to, and they are overwhelmingly negative. These consisted of mental health problems, physical health problems, tiredness, and stunted child development. Living in temporary housing, making multiple moves, and the instability and insecurity associated with anticipating a move, or being uncertain whether a move would be needed, had an obvious negative impact on the mental health of children and young people [ 41 , 63 , 79 , 107 ], including in terms of self-harm [ 71 , 96 , 97 , 107 , 111 ], thoughts of suicide [ 71 ], anxiety [ 71 , 90 , 103 , 111 , 112 , 115 ], and depression [ 110 , 115 ]. Sometimes these problems manifested as physical pain [ 106 ], nightmares [ 84 ], night waking [ 107 ], or wetting the bed [ 63 , 107 , 111 ]. Stress, anger, isolation, fear, worry about the future (including about having to move again), worry about safety and acute distress were also reported [ 15 , 63 , 73 , 79 , 82 , 84 , 89 , 90 , 96 , 109 , 114 , 115 , 118 ]. One child with distress/mental health problems (as a result of having to make multiple moves) stopped eating properly (resulting in underweight and anaemia), and became socially withdrawn [ 79 ]. Another child reported weight loss and mental health problems due to worry about the future housing situation [ 95 ]. One study reported on stress and anxiety in children due to the trauma of losing their home and the emergency accommodation being unsuitable and temporary [ 111 ].

‘My six year old has been going to the doctors because he’s developed a nervous tick since we’ve been in that room. He was constantly nervous all the time. He’s so unsettled still and he knows that we’re still not settled. He’s really anxious. He’s become violent […]’ ( [ 111 ] , p.13)

Sometimes children and young people’s mental health issues would be displayed through problematic behaviour such as withdrawal, stealing, smoking, drug-taking, aggressive behaviour, and running away [ 68 , 71 , 79 , 84 , 97 , 107 , 114 , 115 ]. Teachers observed that younger children tended to get more withdrawn and older children and young people tended to get more angry and antagonistic, although the same child could cycle between these two states [ 115 ]. Separation anxiety was also reported [ 87 , 111 ].

Children and young people also experienced physical health problems as a result of living in temporary accommodation, poor condition housing, and making multiple moves, including the development or exacerbation of asthma [ 69 , 81 , 90 ] and eczema [ 41 , 81 , 90 , 111 ], stomach bugs [ 71 ], insect bites [ 112 ], infectious diseases [ 41 , 109 , 112 ], headaches [ 113 ], stomach aches [ 109 , 113 ], exacerbation of long-term conditions [ 41 , 75 , 109 ], rashes and asthma as a result of damp [ 100 ], a dermatological condition as a result of living in a hotel [ 91 ], other physical symptoms in young children, such as coughing and vomiting [ 100 ] and musculoskeletal pain from sleeping in unsuitable places [ 102 ]. One study reported illness in a baby following a difficult birth, attributed to housing-related stress in the mother [ 83 ]. Rarer outcomes included weight gain due to a lack of cooking facilities and thus reliance on fast food, weight loss due to stress [ 79 , 95 ] and head lice due to close contact with others [ 115 ]. Some properties presented risk of injury to babies and young children [ 41 ].

Tiredness was also reported, in relation to travelling a long distance to school and to visit family and friends [ 15 , 66 , 77 , 102 , 112 , 115 ]. Tiredness also resulted from poor quality sleep due to the unsuitable nature of the accommodation (e.g., poor state of repair, overcrowded), sleeping on a sofa [ 102 ], and worrying about the housing situation [ 15 , 41 , 87 , 109 , 112 , 114 ].

Impacts on the perceived development of young children were reported, in particular in relation to having no space to play, which impacted standing/walking and emotional development [ 87 , 111 ], and multiple moves, which impacted on potty training and speech development [ 87 , 111 ]. One study reported an impact on growth due refusal of solid food [ 113 ].

Protective factors

Protective factors were not presented in the original conceptual framework. However, we identified specific protective factors that were perceived to lessen the impact of housing insecurity on wellbeing among children and adolescents. These included friendship, keeping the same school, normalising housing insecurity, home-making, having a plan, hope, protective parenting, and some interventions.

Friendship was a key protective factor. Retaining connections with friends and peer networks following moves was important [ 15 , 90 ], and school facilitated this [ 114 ]. Indeed, another related strategy was to keep children and young people enrolled in the same school during and after moves, to retain some stability [ 15 , 70 , 90 , 108 ].

Some sources noted that children and young people tended to normalise and destigmatise their housing insecurity as something to be expected given that the family is poor or receives benefits [ 15 , 62 , 90 ]. This response could be a coping/defence mechanism to try to deal with the negative impacts of being insecurely housed.

Another, more positive, coping strategy was to make the property feel more like a home. For instance, decorating the property could lead to children and young people feeling more settled and ‘at home’, even if the ultimate intention was to move [ 15 ]. Further coping strategies included having a plan of how things could go to keep anxiety at bay and retain some control [ 15 ], seeing the advantages of a location [ 15 ], and hoping for a better house next time, and/or hoping that the family would settle in a permanent home [ 15 ].

Parents also acted to protect children and young people from the negative impacts of housing insecurity, by concealing the full extent of their financial and housing problems [ 113 ], including children and young people in decision-making [ 70 , 90 ] (for instance, allowing children and young people to influence their parents’ decisions on location, where there was a choice [ 70 ]), and presenting their situation as an adventure [ 114 ]. One study also documented parents taking their children out to parks to give them space to run around [ 91 ].

Lastly, some positive findings were reported by an evaluation of the Families Intervention Project (FIP), for families at risk of eviction due to anti-social behaviour [ 118 ]. Families that worked closely with a multi-agency team experienced increased housing security, reduced stress and anxiety, and fewer behavioural problems among the children [ 118 ]. Another study reported positive effects of a peer-led parenting programme on children’s behaviour, although it is unclear how this impacted on their health and wellbeing [ 64 ].

Key findings relating to other populations

Families that have experienced domestic violence.

Domestic violence could be a source of housing insecurity both for families who leave the family home to seek safety and for those who stay. Families that leave can end up moving multiple times (and frequently), perhaps initially to a refuge and then into other forms of temporary housing, with families experiencing uncertainty over when the next move would be [ 90 , 105 ]. One study reported that experience of living in different places was perceived to be beneficial, although little detail was given, and this was offset by difficulty building peer networks [ 90 ]. In one family, the alternative to housing insecurity was for the children to be placed in local authority care, which was avoided through the children and other parent leaving the perpetrator [ 90 ].

Among families who stay in the family home (with the perpetrator leaving), housing insecurity could be created by the perpetrator refusing to pay the mortgage, leaving the family worried and uncertain:

‘ I’ve lost two stone, my son has lost ten pounds – he is only 15 – he is having counselling at school. It has just been a nightmare…He hasn’t paid the mortgage for a year because he wants to get me out so he can have the money… ’ ([ 95 ], p. 68). Friendship was particularly impacted among this population. To prevent the perpetrator from finding them, children were not able to disclose personal information [ 63 ]. This made it difficult to form close friendships.

Parents reported a lack of support offered to children and young people, including services that they needed [ 80 ]. However, where support was offered to parents and children/young people who had moved to escape abuse in their previous home, this support could improve wellbeing [ 63 , 79 , 80 ], acting as a protective factor. Particular forms of useful support included a parenting course [ 79 ] and supportive staff and peers at hostels [ 80 ]. Hostels offered a feeling of safety due to closed-circuit television [ 80 ]. One study reported that refuge and hostel staff were perceived as helpful but powerless to keep families safe in some cases, although children and young people found it helpful to talk and open up to staff about their situation [ 63 ]. One intervention, the Sanctuary scheme, allowed people experiencing/at risk of domestic violence to remain in their own home, with additional security [ 95 ].

Migrant, refugee and asylum seeker families

Migrant, refugee and asylum seeker families experienced similar forms of housing insecurity and similar impacts on everyday life and childhood health/wellbeing as did the general population. However, migrant/refugee families reported having to move suddenly, with very little notice (e.g., 48 h) [ 77 , 82 ]. They also lacked support from services and assistance with housing from the local authority. Consequently, families would end up homeless and have to beg friends to let them sleep on their sofas [ 101 ].

Once homeless, families slept in unsuitable locations, such as on the night bus, in a church, and in the waiting room of the Accident and Emergency (A&E) department. This led to extreme tiredness; in some cases, children were too tired to attend school [ 102 ]. That type of homelessness was a particular feature of the experience of housing insecurity among this population.

‘We had to keep going to McDonalds every night and we would also go to A&E. I would have to wear my school clothes and sleep like that.… They would say we have to sleep where the people wait but it’s just like lights […] The chairs were hard.’ (child aged 9) ( [ 102 ] , p. 22)

Other considerations specific to migrant/refugee/asylum seeker families were language barriers, which compounded the challenge of adjusting to a new area [ 82 ], and pressure to cook British food rather than food from their home country in communal facilities [ 106 ].

Families forced to relocate due to demolition

Two papers identified from the database search examined experiences of relocation; families were living in local authority accommodation in Glasgow and experienced a forced move as the high-rise block of flats they lived in was due to be demolished [ 69 , 70 ]. This forced location creates housing insecurity.

Despite the common source, however, housing insecurity was experienced in different ways by different families. One family reported not wanting to move as the children liked the area and their school and nursery, and one family was offered a flat but needed outdoor space [ 70 ]. Many families experienced the pre-relocation area as unsafe due to problematic behaviour in outdoor shared areas [ 69 ]. Because of this and no access to a private garden children lacked space to play [ 70 ]. Families also reported feeling shame in relation to the local area and the poor condition of their pre-relocation housing (a high-rise block of flats), and were keen to move to a less stigmatising area with better condition housing [ 69 , 70 ].

Most families managed to relocate to areas close enough for their children and young people to attend the same schools. However two families changed schools [ 69 , 70 ]. Children and young people felt shame and stigma relating to the local area and the flats themselves, with many young people reluctant to invite friends over, or others socialising in the corridor without inviting friends inside [ 70 ]. Thus, relocation could have positive impacts on families and children/young people. For three families, moving was a positive experience, with children and young people enjoying having a garden and growing to like their new neighbours and the area [ 69 ].

Although we anticipated potentially different experiences, impacts and outcomes relating to housing insecurity across the four populations, the evidence reviewed suggests many similarities. Some exposures were common to multiple populations, for instance, being evicted or having a forced move, living in temporary accommodation, experiencing overcrowding, exposure to problematic behaviour, poor condition/unsuitable property, and making multiple moves. Common impacts included social, school-related, psychological, financial and family wellbeing impacts, having to travel long distances to attend school and see friends, having to live in a property that was unsuitable or in a poor state of repair, overcrowded and often noisy, all of which could then further exacerbate housing insecurity. Outcomes reported across multiple populations included mental health problems (which could manifest in physical ways, for example, trouble eating and sleeping, or wetting the bed) and physical health problems such as skin complaints and asthma related to poor housing conditions. Protective factors common to multiple populations included friendship and support, staying at the same school, having hope for the future, and parenting practices. Pervasive throughout all populations and accounts was an overall lack of choice or control over the housing situation and poverty as a driving force.

These findings support and build upon previous literature that has examined the impact of housing insecurity on the health and wellbeing of children and young people, in terms of reduced mental and psychological wellbeing [ 21 , 42 , 43 ], ill health relating to homelessness or poor housing conditions [ 40 , 41 ], and disrupted family processes [ 38 ]. Likewise, the findings build upon prior cohort studies that support a causal relationship with child health [ 38 ], by highlighting the details of the hardships faced by children and young people experiencing housing insecurity and exploring relationships between exposures, ‘less tangible’ impacts and health and wellbeing outcomes.

Many elements of the Children’s Society definition of housing insecurity were identifiable in our review findings. A key element of housing insecurity is financial insecurity [ 17 , 19 ]; this was borne out in our findings where families were frequently exposed to high/rising costs of housing or reduced income. Indeed, our review found that families incurred additional costs due to multiple and/or frequent moves and/or moving into temporary accommodation. This could potentially increase financial insecurity, thus creating a vicious circle of housing insecurity and poverty. Having ‘a home that does not provide a sense of safety and security’ ([ 18 ], paragraph 3) was evident when children and young people reported not feeling safe in their accommodation, and relational insecurity was evident in families’ accounts of being moved far from friends, school and support networks.

In addition, we identified certain population-specific considerations. Families experiencing domestic violence faced a difficult choice between choosing to remain in the property and leaving the property, both with insecurity attached. Housing insecurity negatively impacted on friendships for all populations, however this could be potentially more challenging for those escaping domestic violence, due to the need to keep personal information confidential in order to maintain family safety.

Parents and children/young people in migrant, refugee and asylum seeker populations spoke of having very little notice before having to move out of a property, sometimes only 48 h. This created a housing emergency, captured in accounts of families becoming homeless and having to sleep in unsuitable places, such as the Accident and Emergency department waiting room or on a night bus. In some families, parents had no recourse to public funds, so even when children and young people were born in the UK, the family still ended up destitute and homeless, leading to significant worry.

A key factor in relocation was that families were forced to move by a particular date, as the high-rise block they lived in was scheduled for demolition. Many families desired a move, due to a lack of space, overcrowding, and unsafe outdoor spaces. However many did not want to leave behind social networks and schools in the community, and even some who wanted to move had difficulty finding a suitable property (e.g., for their family size).

A key challenge to synthesising the evidence was the complexity of the data, in particular the relationships between exposures and impacts. Factors that families initially experienced as exposures could then become impacts, and particular impacts could then worsen housing insecurity, in a cyclical fashion. For instance, overcrowded conditions could precipitate a move, but then the only property available may be in a poor state of repair, with intolerable living conditions, thus prompting a further move. Another key challenge in synthesising the qualitative evidence was that many elements of the experience of housing insecurity that were experienced simultaneously by children and young people have been artificially separated within the updated conceptual frameworks, making analysis problematic. For instance, those living in poor-condition temporary accommodation may want to move due the poor state of a property, but be worried about where they may end up next and whether children/young people will have to change schools and move far from friends. Such complexity has proved challenging to our overall synthesis. Policymakers and practitioners should be aware that the diagrams illustrating the hypothesised causal pathways simplify the multiple inter-related factors related to housing insecurity that impact on the wellbeing of children and young people. Identifiable common stresses including poverty, financial difficulties and debt, immigration/refugee status and domestic abuse will also exert direct significant effects on family wellbeing that prove difficult to separate from those directly due to housing insecurity.

Limitations

Limitations of the evidence base.

We have identified numerous literature sources, many rich with data relating to the experiences of children and young people, and synthesised these data into diagrams that illustrate hypothesised causal pathways within the original conceptual framework, with accompanying descriptions of the experiences of housing insecurity in children and young people. However, we cannot establish claims for the comprehensiveness of our diagrams that map hypothesised causal pathways from housing insecurity to childhood health/wellbeing based on the original conceptual framework. We mapped associations where they were present in the accounts of children/young people and other informants. However, the evidence base may have missed other potential associations, particularly for populations covered by a small number of studies.

Within the evidence base, accounts from parents or other informants proved extremely useful in examining the impacts of housing insecurity on the health and wellbeing of children and young people, particularly for younger children who are not able to yet articulate their experiences and feelings. Nevertheless, such accounts proved an insufficient substitute for rich and nuanced data directly from the children and young people themselves. Our public involvement group have informed us that children and young people may find it difficult to talk about their housing situation, and noted that we did not identify any research that explicitly examined the perspectives of young people who provide care for a parent.

Likewise, little available information relates to the health and wellbeing of children and young people, and it is difficult to establish whether the evidence we have reviewed has captured all relevant health and wellbeing experiences. The majority of the accounts of young people focused on the impacts (or intermediate outcomes) of housing insecurity, which means that we have been able to present a rich picture of these ‘less tangible’ impacts, but also that the links from these impacts to health and wellbeing outcomes is less well understood. For instance, our public involvement group noted that we had not reported any evidence relating to bullying as a result of experiencing housing insecurity.

Strengths and limitations of the review

Strengths of our review method include the prior use of a conceptual model, developed in consultation with stakeholders and topic experts, and examination of key policy documents, which guided the process of synthesis. Synthesis was thus both deductive (i.e., informed by the a priori conceptual model) and inductive (i.e., conducted using established thematic synthesis methods), which allowed for an organised and yet rich and nuanced picture of the impacts of housing insecurity on health and wellbeing among children and young people in the UK. The review was conducted by an established team of experienced reviewers and a methodologist.

A key limitation is that literature sources were far more plentiful than anticipated, including numerous long and detailed reports identified through grey literature searching. While this enhanced the richness of the dataset, it also expanded the review workload, leading to additional time constraints. Limited time and resource could be allocated for double-checking full texts (in particular in the grey literature) and extractions, and thus only a sample were double-checked. Time constraints also prevented citation searches of key included studies. Nevertheless, such an approach remains consistent with established rapid review methods with minimal consequences for missing or mis-reported evidence [ 50 , 51 , 52 ]. Time and resource constraints also prohibited examination of how experiences may differ according to location within the UK.

Implications for policy

It is important that decisions made about housing at a national and local level reflect the impacts that insecure housing can have on children and young people, and ensures that housing insecurity is prevented in the first place. The current review findings suggest that policies should focus on reducing housing insecurity in its totality among families. One way to do this is to focus on eviction, which is a significant cause of instability and a leading cause of households seeking homelessness assistance [ 25 ]. This could include ending no-fault evictions, as has been done in Scotland for private renters since 2017 and as proposed, but yet to be introduced by the UK government in 2019. Scotland’s introduction of longer tenancy agreements with the removal of no-fault evictions may also facilitate families being able to settle and reduce the need for multiple moves. Similarly, legislating for minimum standards in the private rented sector, as currently being explored [ 119 ], will protect children and young people from being exposed to unhealthy and dangerous conditions.

Other changes could include (1) stipulating minimum requirements for space in family properties and minimum requirements for property conditions; (2) advocating for families living in the private rental sector to improve their housing situation; (3) reducing the use of short-term tenancies so families are not required to make multiple moves; (4) providing affordable housing options that give families more choice; and (5) engaging families in the design of systems and services that meet their housing needs. Addressing poverty more widely should also help to alleviate housing insecurity among families in the UK, as much of the evidence reported on how poverty initiated and/or exacerbated housing insecurity, for instance, by restricting choice and by increasing worry. However, any changes will need adequate support for enforcement, something made clear by the limited effectiveness of policy introduced to protect people from revenge/retaliatory eviction [ 97 , 120 , 121 , 122 ], improve the quality and suitability of temporary accommodation, and, where possible, reduce the need for temporary accommodation through preventative measures.

Among families escaping domestic violence, support systems are needed to avoid destitution caused by the perpetrator (e.g., not paying the mortgage). There should also be systems in place to ensure that families are housed in a permanent residence as soon as possible following the initial placement in emergency temporary accommodation after leaving the family home, with as few moves as possible. Appropriate support with housing should be made available to refugee/asylum seeker/migrant families, including those where the parents have no recourse to public funds, and short-notice and long-distance moves should be avoided, particularly where these take families away from their support systems and communities.

Implications for practice

Where possible, interventions to reduce or eliminate housing insecurity should be implemented. Where this is not possible, interventions should focus on reducing the impact of housing insecurity, for instance, by ensuring long journeys can be avoided, that accommodation is of a decent standard, and by providing adequate support to families and children young people. Practitioners who work to house families should prioritise stable, suitable and good quality housing. Practitioners who interact with children and young people experiencing housing insecurity and homelessness (e.g., clinicians, teachers, social workers) should recognise the complexity of the children and young people’s experiences, including how the situation and circumstances (e.g., escaping domestic violence, migration status) might impact on their health and wellbeing, and that impacts vary on an individual basis, particularly in assessments and family support plans. A multiagency approach should be utilised with families to mitigate the impacts of housing insecurity, poor housing conditions or unsuitable housing. Practitioners should consider the impacts of continuity of school, support and services, and the need for mental health support, parenting and counselling, for instance through providing support with transport to enable children and young people to stay at their current school, and support to maintain friendships. All those working with children/young people and families experiencing housing insecurity should consider ways to offer them optimal choice and control over situations that affect them.

All practitioners and professionals (e.g., teachers) who work with children and young people from families who have escaped domestic violence should ensure that the children and young people are receiving appropriate support from all relevant services, and that appropriate safety measures are in place to protect the family from the perpetrator.

Research recommendations

Future qualitative research could focus explicitly on the health and wellbeing of children and young people experiencing housing insecurity, and how they link with the impacts and outcomes identified in the current review. In particular, research could explore how the health and wellbeing of children and young people are affected by the impacts of housing insecurity on friendships, education, food and hygiene, financial impacts, long journeys, overcrowding, perceived safety, and access to services. Further qualitative research could examine the impact of interventions to address housing insecurity among families in the UK. Interventions with a participatory component that seek to ensure that the voices of children and young people remain central should be prioritised for further research. The voices of specific groups of young people who are likely to be marginalised (e.g., young carers) could be explored in future research. Future qualitative research should report methods of recruitment and data collection and analysis clearly and transparently, and should incorporate meaningful research reflexivity.

Conclusions

Housing insecurity has a profound impact on children and young people in families in the UK. Such housing insecurity can take many forms and result from often inter-related situations that are fundamentally connected to poverty. The resultant housing insecurity can have multiple (often simultaneous) impacts, including those that relate to educational, psychological, financial and family wellbeing impacts, having to travel long distances to attend school and see friends, and having to live in unsuitable, poorly repaired, overcrowded or noisy properties, any of which further exacerbate housing insecurity. Negative experiences can impact on health and wellbeing, in terms of mental health problems (which could manifest in physical ways) and physical health problems, as well as tiredness and developmental issues. Some experiences and situations can lessen the impact of housing insecurity on the health and wellbeing of children and young people. Negative impacts of housing insecurity on health and wellbeing may be further compounded by specific situations and life circumstances, such as escaping domestic violence, being a migrant, refugee or asylum seeker (or having a parent with that status), or experiencing a forced relocation due to housing demolition.

Availability of data and materials

All data presented in this review were already published, either in an academic journal, or a report that is publicly available. Search strings are available in Additional File 1. Data extracted from the published papers and reports included in the current study are available from the corresponding author on request.

the main social security payment in the UK; for more information see https://www.gov.uk/universal-credit

Abbreviations

Accident and Emergency (Department)

Authority, Accuracy, Coverage, Objectivity, Date, Significance

Applied Social Sciences Index and Abstracts

Bed and Breakfast (accommodation)

Critical Appraisal Skills Programme

Coronavirus Disease 2019

Families Intervention Project

United Kingdom

International Bibliography of the Social Sciences

National Institute for Health and Care Research

International prospective register of systematic reviews

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Acknowledgements

We wish to thank Katie Lewis and Liz Kitchin from the University of Sheffield for providing administrative support to the project, Karen Horrocks, from the UK Office for Health Improvement and Disparities, for revising the policy and practice implications, anonymous young people who provided PPI feedback on a lay summary and gave us an insight into key omissions from the evidence base, and Mary Crowder from the University of Sheffield for her support in accessing feedback from PPI members at a local youth organisation. We would also like to thank the policy and practice stakeholders and topic experts with whom we consulted to develop the initial conceptual framework.

This study is funded by the National Institute for Health Research (NIHR) Public Health programme (project reference 18/93 PHR Public Health Review Team). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

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Emma S. Hock, Lindsay Blank, Hannah Fairbrother, Mark Clowes, Diana Castelblanco Cuevas, Andrew Booth & Elizabeth Goyder

Australian Centre for Housing Research, University of Adelaide, Adelaide, Australia

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EH led the review, and undertook study selection, grey literature searching and selection, data extraction, quality assessment and coding, drafted the synthesis, and drafted and refined large parts of the manuscript. LB undertook study selection, data extraction, quality assessment and coding, compiled study characteristics, checked and refined the synthesis, and drafted and refined parts of the manuscript. HF undertook study selection, grey literature searching and selection, data extraction and quality assessment, co-ordinated patient and public involvement, provided topic expertise, checked and refined the synthesis, and drafted and refined parts of the manuscript. MC designed the search strategy, undertook database searches and drafted and refined parts of the manuscript. DCC undertook study selection and drafted and refined parts of the manuscript. AB provided methodological support and advice, checked and refined the synthesis, and drafted and refined parts of the manuscript. AC provided topic expertise and drafted and refined parts of the manuscript. EG undertook stakeholder consultation and protocol development, drafted and refined parts of the manuscript, and was the guarantor of the review. All authors reviewed the manuscript.

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Correspondence to Emma S. Hock .

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Ethical approval was not required for this study because no human participants were involved.

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Competing interests

AB is a Cochrane author and co-convenor of the Cochrane Qualitative and Implementation Methods Group, and was also previously a member of the NIHR Evidence Synthesis Advisory Group from 2018 to 2022 and a member of the NIHR HS&DR Funding Board from 2018 to 2022. No other authors have competing interests to declare.

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Hock, E.S., Blank, L., Fairbrother, H. et al. Exploring the impact of housing insecurity on the health and wellbeing of children and young people in the United Kingdom: a qualitative systematic review. BMC Public Health 24 , 2453 (2024). https://doi.org/10.1186/s12889-024-19735-9

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Received : 22 May 2023

Accepted : 08 August 2024

Published : 09 September 2024

DOI : https://doi.org/10.1186/s12889-024-19735-9

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