Housing and Health

Angel, Stefan; Bittschi, Benjamin

doi:10.1111/roiw.12341

Cited by 20 publications

(13 citation statements)

References 33 publications

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“…They not only live in extreme poverty, but also suffer from high levels of family and social disengagement, have great difficulty in achieving social/employment reintegration, and suffer from significant mental and physical health problems (Panadero and Vázquez 2016). A lack of housing is a significant determinant factor in health (Angel and Bittschi 2019). Several studies have reported that homeless people are in poorer physical health than the general population (Lebrun-Harris et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Risk of mental ill-health among homeless women in Madrid (Spain)

Rodriguez‐Moreno

Panadero

Vázquez

2020

Arch Womens Ment Health

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Purpose: Several studies have revealed that homeless people suffering from mental health problems are more vulnerable than homeless without those mental health problems. Nevertheless, there is a lack of evidence describing the real circumstances of homeless women. This paper explores the differences between homeless women at high risk of mental ill-health compared to those who do not present this risk. Method: The sample consisted of a group of 120 homeless women in Madrid (Spain). For this study, we collected data on background information (trajectory of homelessness and stressful life events experienced) and current aspects (living conditions, physical health and social support). The risk of mental ill-health has been measured by the short version of the General Health Questionnaire (GHQ-28). Results: The results showed that homeless women with higher risk of mental ill-health had become homeless at a younger age, had experienced more stressful life events in their lives, had a poorer physical health, felt less happy, had less social support and a greater feeling of loneliness when compared to homeless women who did not present risk of mental ill-health. Conclusions: Improving knowledge about the risk of mental ill-health among homeless women is essential for the design of specific psychological interventions within this population.

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Section: Introductionmentioning

confidence: 99%

Risk of mental ill-health among homeless women in Madrid (Spain)

Rodriguez‐Moreno

Panadero

Vázquez

2020

Arch Womens Ment Health

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“…Poor living conditions are often associated with poor health [15,16]. Substandard housing including lack of safe drinking water, sanitary water for cooking, effective garbage disposal devices, overcrowding, and poor ventilation has been confirmed to be closely related to the spread of respiratory infectious diseases [17,18].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

“…As the largest developing country, China has the largest population in the world and is actively implementing measures for the renovation and governance of residential space to improve living conditions as part of the implementation of a healthy China strategy. Thus, China is a very important of 15 area for research on housing and health. This study used data from the China Family Panel Study in 2018 to examine the impact of living conditions on residents' self-rated health and to determine the impact mechanism.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Living Conditions on Self-Rated Health: Evidence from China

Ming

2021

IJERPH

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Despite growing attention to living conditions as a social determinant of health, few studies have focused on its diverse impacts on self-rated health. Using data from the China Family Panel Study in 2018, this study used logistic regression analysis to examine how living conditions affect self-rated health in China, finding that people cooking with sanitary water and clean fuel were more likely to report good health, and that homeownership was associated with higher self-rated health. The self-rated health of people living in high-quality housing was lower than that of people living in ordinary housing, and people living in tidy homes were more likely to report good health. The findings suggest that the link between multiple living conditions and self-rated health is dynamic. Public health policies and housing subsidy programs should therefore be designed based on a comprehensive account of not only housing grade or income status, but also whole dwelling conditions.

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“…One major social determinant of this wellbeing is housing [ 8 ], a primary contributor to achieving SDGs, especially SDG 3 [ 9 ]. Nevertheless, despite a large body of literature on the housing–health linkage in developed regions such as the United States [ 10 , 11 , 12 ], Europe [ 13 , 14 , 15 , 16 , 17 , 18 , 19 ], New Zealand [ 20 , 21 ], and Australia [ 22 , 23 , 24 ], evidence in developing countries remains scarce. Housing remains one of the most understudied aspects of aging in China [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study

Wang

Ding

et al. 2021

IJERPH

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Background: Although prior research on the housing–health linkage suggested that those with poor housing conditions are more likely to report poor health, it is dominated by Western studies and offers little evidence on the housing–health relation in China. Scarce is empirical evidence on the potentially detrimental impact of either qualitative or quantitative housing poverty on health outcomes, especially for seniors in China. This paper aims to fill this void by using data from the 2011–2015 China Health and Retirement Longitudinal Study (CHARLS) to provide a comprehensive analysis of the demographic, socioeconomic, and behavioral factors that contribute to changes in healthy aging among Chinese adults aged 60 and over. Methods: Data collected from 8839 adults aged 60 and over in the 2011 and 2015 CHARLS (3732 in 2011 and 5107 in 2015) were used. We first used six blood-based biomarkers to construct a composite measure of the Chinese Healthy Aging Index (CHAI, ranging from 0 (healthiest) to 12 (unhealthiest)) and then assessed the psychometric properties of the CHAI score, including acceptability, internal consistency, convergent validity, discriminative validity and precision. In addition, we employed both mean-based Blinder–Oaxaca and unconditional quantile regression decomposition to decompose the change in healthy aging within the 2011–2015 period. Results: We overall identified a decrease in CHAI score from 5.69 in 2011 to 5.20 in 2015, which implies an improvement in healthy aging during this period. Our linear decomposition revealed that dependent on the type of measure used (whether quality, quantity, or combined quality–quantity), housing poverty explained 4–8% of the differences in CHAI score. Our distributional decompositions also highlighted an important role for housing poverty in the change in healthy aging, accounting for approximately 7–23% of the explained portion. Within this latter, the relative contribution of housing quantity and quality poverty was more pronounced at the median and upper end of the CHAI distribution. We also found household expenditure to be significantly associated with healthy aging among older Chinese adults and made the largest contribution to the improvement in healthy aging over time. Conclusions: The association between housing poverty and CHAI is independent of household expenditure. Regardless of type, housing poverty is positively associated with a decrease in healthy aging. Thus, improved housing conditions boost healthy aging, and housing amelioration initiatives may offer the most effective solution for augmenting healthy aging in China. Improvement of flush toilets and the access to potable water and a separate kitchen require particular attention. Since high-density congested housing has a negative impact on healthy aging, more attention can also be paid to improvements in the available space for older people. Especially at an institutional level, the government may extend the housing policy from a homeownership scheme to a housing upgrading scheme by improving housing conditions.

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Housing and Health

Cited by 20 publications

References 33 publications

Risk of mental ill-health among homeless women in Madrid (Spain)

Risk of mental ill-health among homeless women in Madrid (Spain)

The Influence of Living Conditions on Self-Rated Health: Evidence from China

Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study

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