Well-being Effects of a Subsidy Retention Fund for Renovation of Dwellings of Locked-in Owners in Ghent.

With its subsidy retention fund, the city of Ghent targets homeowners, who live in a dwelling of bad quality and do not have the resources to renovate or move out. Being in this no-choice situation, they are locked-in homeowners. Through this innovative policy instrument, Ghent aims to improve the quality of its housing stock targeting households who may not take up other renovation-encouraging instruments. To reach the households who would otherwise not be able to renovate, important efforts in outreaching and offering technical and social guidance accompany the renovation subsidy. Guidance activities substantially increase the cost of the instrument, but in reaching the households living in bad-quality houses, it has the potential to create major benefits not only technically but also socially as housing quality is related to well-being. Generally, the identification of a causal relationship is difficult as well-being and its mediators are complex matters. This case offered a unique opportunity to collect information from the beneficiaries on a range of well-being domains both before the renovation of their dwelling and after the renovation. Even though the research was restricted to short-term effects, the results suggest that improvements in different domains of well-being can be linked to the improvement of housing quality. These improvements in well-being in Ghent show that (local) government spending in housing renovation of locked-in homeowners can be an instrument to achieve social progress.

Household Environments and Cognitive Decline Among Middle-Aged and Older Adults in China: Exploring Gender, Age, and Residential Variations.

This study examined the relationship between household environments and trajectories of cognitive function among middle-aged and older adults in China and its urban/rural, gender, and age variations. We estimated multi-level linear growth curve models using a representative sample of 16,111 respondents aged 45 years and over from the China Health and Retirement Longitudinal Study (2011-2018). Older people who lived with a spouse, but not with children, and those with higher living expenditures, better housing quality, and indoor clean fuels for cooking had a slower cognitive decline. Living arrangement more strongly predicted men's cognitive decline, while living expenditure, solid fuel use, and housing quality significantly predicted only women's cognitive decline. Only for older adults and rural residents, those living alone had significantly faster cognitive decline than those living with a spouse only. These findings underscore the importance of improving the living conditions of older adults to help alleviate their cognitive decline.

The Different Aspects of the Housing Quality of Older Adults: Which Criteria Should Be Prioritized?

Various studies have identified that older adults' assessment of their housing quality differs from that deemed as good-quality housing by housing professionals. This has prompted the need to advance academic discourse beyond simply reporting high levels of satisfaction in older adult's housing surveys. This study attempts to achieve this by using empirical data gathered through a mixed quantitative and qualitative research approach conducted with older adults in Slovenia. While the quantitative survey revealed generally high levels of satisfaction, the qualitative face-to-face interviews revealed numerous deficiencies, irrespective of whether older adults tended to express satisfaction with their dwellings. Therefore, our findings suggest that attributes such as ownership, period of residence, and neighborhood relations are far more important in determining housing satisfaction. Thus, we conclude that policies and programs for modifying housing for older adults must be based on a deeper understanding of their specific needs. During the policy formulation process and the implementation of specific housing improvement programs, emphasis should be placed on the social-historical aspects related to the lifestyle of each specific older adult.

Review of the Impact of Housing Quality on Inequalities in Health and Well-Being.

Housing quality is essential for population health and broader well-being. The World Health Organization Housing and health guidelines highlight interventions that protect occupants from cold and hot temperatures, injuries, and other hazards. The COVID-19 pandemic has emphasized the importance of ventilation standards. Housing standards are unevenly developed, implemented, and monitored globally, despite robust research demonstrating that retrofitting existing houses and constructing high-quality new ones can reduce respiratory, cardiovascular, and infectious diseases. Indigenous peoples, ethnic minorities, and people with low incomes face cumulative disadvantages that are exacerbated by poor-quality housing. These can be partially ameliorated by community-based programs to improve housing quality, particularly for children and older people, who are hospitalized more often for housing-related illnesses. There is renewed interest among policy makers and researchers in the health and well-being of people in public and subsidized housing, who are disproportionately disadvantaged by avoidable housing-related diseases and injuries. Improving the overall quality of new and existing housing and neighborhoods has multiple cobenefits, including reducing carbon emissions.

The moderating role of housing quality on concentrated poverty and asthma-related emergency department visits among Hispanics/Latinos.

BACKGROUND: Rates of asthma-related emergency department visits have been shown to vary significantly by place (i.e. neighborhood) and race/ethnicity. The moderating factors of asthmatic events among Hispanic/Latino-specific populations are known to a much lesser degree. OBJECTIVE: To assess the extent to which housing moderates the effect of poverty on Hispanic/Latino-specific asthma-related emergency department (ED) visits at an ecological level. METHODS: Using data from the Office of Statewide Health Planning and Development (OSHPD) and the 2016-2017 U.S. Census, a cross-sectional ecological analysis at the census tract-level was conducted. Crosswalk files from the U.S. Department of Housing and Urban Development were used to associate zip codes to census tracts. Negative binomial regression was used to estimate rate ratios. RESULTS: The effect of poverty on asthma-related ED visits was significantly moderated by the median year of housing structures built. The effect of mid-level poverty (RR = 1.57, 95% CI 1.27, 1.95) and high-level poverty (RR = 1.47, 95% CI 1.22, 1.78) in comparison to low-level poverty, was significantly greater among census tracts with housing built prior to 1965 in comparison to census tract with housing built between 1965 and 2020. CONCLUSION: Communities with older housing structures tend to be associated with increased Hispanic/Latino ED visits apart from affluent communities.

A happy home? Socio-economic inequalities in depressive symptoms and the role of housing quality in nine European countries.

BACKGROUND: This study examines the prevalence of and socio-economic inequalities in depressive symptoms in nine high-income European countries, focusing in particular on the role of housing quality. METHODS: Using the European Social Survey, a concentration index of depressive symptoms in each country is estimated. The role of housing quality is assessed by examining the risk factors associated with the concentration index, using the Recentred Influence Function method. To contextualise the housing quality results, other predictors of inequalities in depressive symptoms inequalities are also quantified and discussed. RESULTS: Our results indicate that inequalities in depressive symptoms are concentrated among poorer respondents both in each country and in total. Austria and Belgium have the lowest inequalities and France has the highest. No geographic pattern is evident. Housing problems are associated with higher inequalities in six of the nine countries in the sample. While no association is evident for indicators of socio-economic status such as years of education and income, financial strain is significant. CONCLUSIONS: This study is the first to estimate the degree of socio-economic inequality in depressive symptoms across European countries. The association between poor housing and poorer inequalities suggests that housing has a role to play lowering depressive symptoms inequalities.

The relationship between health and housing in low-income older adults: A secondary analysis of survey data.

OBJECTIVE: To examine the health-housing relationship in low-income older adults, and differences by income and receipt of housing assistance. DESIGN: Secondary analysis of longitudinal survey data. SAMPLE: About 10,858 adults aged 62+ who completed at least one wave of the 2014 Survey of Income and Program Participation (SIPP) (n = 37,333 observations). MEASUREMENTS: SIPP variables representing demographics and housing quality, affordability, stability, and neighborhood were analyzed. Low-income and higher-income participants were differentiated by the household income-to-poverty ratio. RESULTS: Low-income participants were significantly more likely to be in poor health and report problems with housing quality, affordability, and neighborhood safety compared to higher-income participants (p < .001). Increased household size and problems with housing quality and neighborhood safety were associated with poor health in both groups (p < .05). Low-income participants who received housing assistance were significantly poorer, less healthy, and food insecure than participants not receiving assistance (p < .001); however, the health-housing relationship was not different in the two groups. CONCLUSIONS: Results provide additional support for housing as a social determinant of older adult health. Though housing assistance programs reached a subset of low-income older adults, the results suggest a housing assistance shortfall. Implications for public health nurses and researchers are explored.

Development of a multidimensional housing and environmental quality index (HEQI): application to the American Housing Survey.

BACKGROUND: Substandard housing conditions and hazardous indoor environmental exposures contribute to significant morbidity and mortality worldwide. Housing indices that capture the multiple dimensions of healthy housing are important for tracking conditions and identifying vulnerable households. However, most indices focus on physical deficiencies and repair costs and omit indoor environmental exposures, as few national data sources routinely collect this information. METHODS: We developed a multidimensional Housing and Environmental Quality Index (HEQI) based on the World Health Organization's Housing and Health Guidelines and applied it to the 2019 American Housing Survey (AHS). The HEQI consisted of ten domains associated with poor health: household fuel combustion, dampness and mold, pests and allergens, lead paint risk, high indoor temperatures, low indoor temperatures, household crowding, injury hazards, inadequate water and sanitation, and ventilation. We evaluated the validity and performance of the HEQI against three housing characteristics (i.e., year built, monthly rent costs, unit satisfaction rating) and two established indices (i.e., Adequacy Index, Poor Quality Index). RESULTS: Approximately 79% (92 million) of U.S. households reported at least one HEQI domain associated with poor health (mean per household: 1.3; range: 0,8). Prevalent domains included household fuel combustion (61.4%), dampness and mold (15.9%), inadequate water and sanitation (14.3%), and injury hazards (11.9%). Pests and allergens, low indoor temperatures, and injury hazards were consistently associated with older homes, lower rent costs, and lower unit satisfaction. Compared to established housing indices, the HEQI captured four new environmental domains which enabled the identification of 57.7 million (63%) more households with environmental risk factors like mold, cockroaches, crowding, household fuel combustion, and higher building leakage. CONCLUSIONS: Indoor environmental exposures are prevalent in U.S. households and not well-captured by existing housing indices. The HEQI is a multidimensional tool that can be used to monitor indoor environmental exposures and housing quality trends in the U.S. Some domains, including radon, pesticides, asbestos, noise, and housing accessibility could not be assessed due to the lack of available data in the AHS. The mounting evidence linking residential environmental exposures with adverse health outcomes underscore the need for this data in the AHS and other national surveys.

Inadequate housing and pulmonary tuberculosis: a systematic review.

BACKGROUND: Tuberculosis (TB) is a global health issue that has long threatened and continues to threaten human health. While previous studies are important in the search for a cure for TB, to eradicate the disease it is also crucial to analyze environmental influences. Therefore, this study determined the potential effect of inadequate housing on TB and the magnitude of the effect. METHODS: This is a systematic review of the effects of inadequate housing on TB. Between Jan 1, 2011 and Oct 25, 2020, we searched four electronic databases using the search terms "housing AND tuberculosis" or "housing AND TB". The target population comprised residents of inadequate housing and the homeless. RESULTS: We found 26 eligible studies. The distribution of the studies across continents was uneven, and the housing issues of interest seemed to vary depending on the economic level of the country. The eight steps identified in TB development and the consequences thereof were more strongly associated with housing affordability than with housing quality. CONCLUSIONS: This is the first systematic review to identify the effects of inadequate housing on TB and to categorize inadequate-housing-related exposure to TB in terms of affordability and quality. The steps identified in TB development and the consequences thereof had a greater association with housing affordability than with housing quality. Therefore, public health interventions regarding housing affordability could be more diverse, and interventions that support affordable housing for residents of inadequate housing and the homeless should proceed simultaneously to improve housing quality.

Change in housing environment and residential satisfaction following exit from permanent supportive housing.

Moving On initiatives (MOIs) transition stable permanent supportive housing (PSH) residents into mainstream housing without embedded services. While this approach frees up PSH for homeless individuals in need, open questions remain regarding MOI recipients' long-term outcomes. This exploratory study examines how housing environment and residential satisfaction, potential predictors of housing retention, change from PSH to mainstream housing. Subjective assessments of housing and neighborhood quality and residential satisfaction, as well as objective neighborhood-level data, are used to examine housing-related change for New York City MOI recipients. Participants generally moved to less-distressed neighborhoods with lower poverty and crime. Subjective perceptions of some aspects of neighborhood and housing quality also improved post-move. Participants tended to move farther from public transportation but were on average located within one mile of the nearest subway station. Results can be taken as early indicators of the potential benefits of MOIs.

Homeless Adults' Recovery Experiences in Housing First and Traditional Services Programs in Seven European Countries.

Across Europe, as governments turn to housing-led strategies in attempts to reverse rising rates of homelessness, increasing numbers of Housing First (HF) programs are being implemented. As HF programs become more widespread, it is important to understand how service users experience them compared to the more prevalent traditional treatment-first approach to addressing long-term homelessness. Although there is a large body of research on service users' experiences of Housing First compared to treatment-first in North American contexts, comparatively less is known about how these two categories of homeless services are experienced in the European context. In a correlational and cross-sectional study, part of a larger examination of homelessness in Europe, participants (n = 520) engaged with either HF (n = 245) or traditional services (TS; n = 275) programs in seven countries completed measures of their experiences of services (consumer choice, housing quality, and service satisfaction) and recovery (time in independent housing, psychiatric symptoms, and community integration). Across the seven countries, participants engaged with HF programs reported experiencing more consumer choice, better perceived housing quality, and more satisfaction with services than participants engaged in TS programs. Participants in HF programs also reported a greater proportion of time in independent accommodation, fewer psychiatric symptoms, and more community integration. Varying patterns of association between experiences of services and recovery outcomes were observed. Findings indicate HF consistently predicts greater recovery than TS across diverse sociopolitical and economic contexts. Implications of findings for configurations of homeless services and homeless services policy are discussed.

Damp mouldy housing and early childhood hospital admissions for acute respiratory infection: a case control study.

INTRODUCTION: A gap exists in the literature regarding dose-response associations of objectively assessed housing quality measures, particularly dampness and mould, with hospitalisation for acute respiratory infection (ARI) among children. METHODS: A prospective, unmatched case-control study was conducted in two paediatric wards and five general practice clinics in Wellington, New Zealand, over winter/spring 2011-2013. Children aged <2 years who were hospitalised for ARI (cases), and either seen in general practice with ARI not requiring admission or for routine immunisation (controls) were included in the study. Objective housing quality was assessed by independent building assessors, with the assessors blinded to outcome status, using the Respiratory Hazard Index (RHI), a 13-item scale of household quality factors, including an 8-item damp-mould subscale. The main outcome was case-control status. Adjusted ORs (aORs) of the association of housing quality measures with case-control status were estimated, along with the population attributable risk of eliminating dampness-mould on hospitalisation for ARI among New Zealand children. RESULTS: 188 cases and 454 controls were studied. Higher levels of RHI were associated with elevated odds of hospitalisation (OR 1.11/unit increase (95% CI 1.01 to 1.21)), which weakened after adjustment for season, housing tenure, socioeconomic status and crowding (aOR 1.04/unit increase (95% CI 0.94 to 1.15)). The damp-mould index had a significant, adjusted dose-response relationship with ARI admission (aOR 1.15/unit increase (95% CI 1.02 to 1.30)). By addressing these harmful housing exposures, the rate of admission for ARI would be reduced by 19% or 1700 fewer admissions annually. CONCLUSIONS: A dose-response relationship exists between housing quality measures, particularly dampness-mould, and young children's ARI hospitalisation rates. Initiatives to improve housing quality and to reduce dampness-mould would have a large impact on ARI hospitalisation.

Housing Quality and Mental Health: the Association between Pest Infestation and Depressive Symptoms among Public Housing Residents.

Housing quality, which includes structural and environmental risks, has been associated with multiple physical health outcomes including injury and asthma. Cockroach and mouse infestations can be prime manifestations of diminished housing quality. While the respiratory health effects of pest infestation are well documented, little is known about the association between infestation and mental health outcomes. To address this gap in knowledge and given the potential to intervene to reduce pest infestation, we assessed the association between household pest infestation and symptoms of depression among public housing residents. We conducted a cross-sectional study in 16 Boston Housing Authority (BHA) developments from 2012 to 2014 in Boston, Massachusetts. Household units were randomly selected and one adult (n = 461) from each unit was surveyed about depressive symptoms using the Center for Epidemiologic Study-Depression (CES-D) Scale, and about pest infestation and management practices. In addition, a home inspection for pests was performed. General linear models were used to model the association between pest infestation and high depressive symptoms. After adjusting for important covariates, individuals who lived in homes with current cockroach infestation had almost three times the odds of experiencing high depressive symptoms (adjusted OR = 2.9, 95% CI 1.9-4.4) than those without infestation. Dual infestation (cockroach and mouse) was associated with over five times the odds (adjusted odds = 5.1, 95% CI 3.0-8.5) of experiencing high depressive symptoms. Using a robust measure of cockroach and mouse infestation, and a validated depression screener, we identified associations between current infestation and depressive symptoms. Although the temporal directionality of this association remains uncertain, these findings suggest that the health impact of poor housing conditions extend beyond physical health to include mental health. The study adds important information to the growing body of evidence that housing contributes to population health and improvements in population health may not be possible without addressing deficiencies in the housing infrastructure.

Social and health outcomes following upgrades to a national housing standard: a multilevel analysis of a five-wave repeated cross-sectional survey.

BACKGROUND: While existing research indicates that housing improvements are associated with health improvements, less is known about the wider social and health benefits of meeting national housing standards, as well as those of their specific constituent measures. This study evaluates the impacts of a managed housing upgrade programme through a repeated cross-sectional survey design. METHODS: A five-wave repeated cross-sectional survey was conducted over a seven-year period from 2009 to 2016 (n = 2075; n = 2219; n = 2015; n = 1991; and n = 1709, respectively). The study followed a managed upgrade programme designed to meet a national social housing standard over an extended period. The data were analysed from a multilevel perspective to take account of the time-dependent nature of the observations and differences in socio-demographic composition. RESULTS: The installation of the majority of individual housing measures (new windows and doors; boilers; kitchens; bathrooms; electrics; loft insulation; and cavity/external wall insulation) were associated with improvements in several social (housing suitability, satisfaction, and quality; thermal comfort and household finances) and health (mental, respiratory and general health) outcomes; and analyses showed relationships between the number of measures installed and the total amount invested on the one hand and the social and health outcomes on the other. There were however a few exceptions. Most notably, the installation of cavity wall insulation was associated with poorer health outcomes, and did not lead to better social outcomes. Also, no association was found between the number of measures installed and respiratory health. CONCLUSIONS: The study suggests that substantial housing investments through a managed upgrade programme may result in better social and health outcomes, and that the size of the improvements are proportionate to the number of measures installed and amount invested. However, there may be risks associated with specific measures; and more attention is needed for mechanical ventilation when upgrading energy efficiency of houses through fabric work. In addition to providing new evidence regarding the wider social and health outcomes, the study provides an analytical approach to evaluate upgrade programmes that are delivered over multiple years.

The Effects of Assisted Housing on Child Well-Being.

The most rigorous research on the causal effects of assisted housing on children's outcomes finds no such effects. The present study uses rich longitudinal data from the Panel Study of Income Dynamics, augmented with Census, American Community Survey and U.S. Department of Housing and Urban Development administrative data, to unpack these nil effects. Analyses include 194 children ( X¯ age = 6.2 years) living in assisted housing in 1995 or later who were 13-17 years old in 2002 or 2007, and an unassisted comparison group of 215 children who were income-eligible for, but never received, housing assistance. Results suggested no mean effects of living in assisted housing during childhood on adolescent cognitive, behavior, and health outcomes, addressing selection through propensity score matching and instrumental variables. However, quantile regressions suggest assisted housing provides an added boost for children with the best cognitive performance and fewest behavior problems but has opposite effects on children with the lowest cognitive scores and most behavior problems. Further tests indicate that these differences are not explained either by neighborhood effects or housing quality. A potentially fruitful avenue for future research investigates differences in how parents take advantage of the housing affordability provided by assisted housing to benefit their children.

Housing Quality in a Randomized Controlled Trial of Housing First for Homeless Individuals with Mental Illness: Correlates and Associations with Outcomes.

Housing quality (HQ) is associated with mental health, and may mediate outcomes in housing interventions. However, studies of housing interventions rarely report HQ. The purpose of this study was to describe HQ in a multi-site randomized controlled trial of Housing First (HF) in five Canadian cities and to examine possible differences by treatment group (HF recipients and treatment-as-usual (TAU) participants who were able to find housing through other programs or on their own). We also examined the association between HQ and the primary trial outcome: housing stability. The performance of a new multi-dimensional standardized observer-rated housing quality scale (the OHQS) in a relatively large cross-site sample was also of interest. HQ was rated by trained research assistants for 204 HF participants and 228 TAU participants using the OHQS. General linear regression models were used to examine unit/building quality scores by group and site adjusting for other group differences, and as a predictor of housing stability outcomes after 24 months of follow-up. The OHQS was found to have good reliability and validity, but because most of the neighborhood subscale items were negatively correlated with the overall scale, only unit and building items were included in the total HQ score (possible scores ranging from 13.5 to 135). Unit/building HQ was significantly better for the HF group overall (91.2 (95 % CI = 89.6-92.9) vs. 88.3 (95 % CI = 86.1-90.5); p = .036), and in one site. HQ in the TAU group was much more variable than the HF group overall (W (mean) = 24.7; p < .001) and in four of five sites. Unit/building HQ scores were positively associated with housing stability: (73.4 (95 % CI 68.3-78.5) for those housed none of the time; 91.1 (95 % CI 89.2-93.0) for those housed some of the time; and 93.1 (95 % CI 91.4-94.9)) for those housed all of the time (F = 43.9 p < .001). This association held after adjusting for site, housing characteristics, participant ethnocultural status, community functioning, and social support. This study demonstrates that HQ can be as good or better, and less variable, in HF programs in Canada that systematically and predominantly source housing stock from the private sector compared to housing procured outside of an HF program. HQ is also an important predictor of housing stability outcomes.

Effects of changing housing conditions on mangabey behavior (Cercocebus atys): Spatial density, housing quality, and novelty effects.

The separate influences of spatial density and housing quality on the behavior of captive animals are difficult to measure because the two factors are often intrinsically linked. Here, we recorded affiliative and agonistic behavior in adult sooty mangabeys in various housing situations, testing spatial density and housing quality changes separately (N = 26 experienced spatial density changes; N = 12 experienced housing quality changes). We varied spatial density by 50% while holding housing quality constant and we varied housing quality while holding spatial density constant (achieved by comparing two types of run-housing that varied in the amount of visual privacy and outdoor access). Each housing condition was one month in duration. Prior to collecting data in each housing condition, we evaluated the subjects' initial responses to the change in housing environment during 2-week novelty periods. Affiliative behavior did not change during the novelty periods. Agonistic behavior initially increased slightly when spatial density increased and it decreased significantly when spatial density decreased; it also decreased when subjects moved to housing that offered more visual privacy and outdoor space, indicating that the mangabeys were sensitive to these housing changes. After the novelty periods, affiliative behavior increased under higher spatial density, but remained unchanged across housing quality conditions; agonistic behavior remained unchanged across all conditions. Results suggest that a prolonged increase in spatial density led the mangabeys to adopt a tension-reduction coping strategy, in which the increase in affiliative behavior alleviates a presumed increase in social tension. Reducing visual privacy and choice did not affect the mangabeys' behavior, post-novelty period. Thus, like many other primates, the mangabeys managed tension by flexibly adapting to changes in their housing environment in ways that reduce the risk of severe aggression. This study highlights the importance of controlled behavioral studies in facilitating data-driven management decisions that promote animal welfare. Am. J. Primatol. 77:1001-1014, 2015. © 2015 Wiley Periodicals, Inc.

Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes.

OBJECTIVES: We sought to create a computational pipeline for attaching geomarkers, contextual or geographic measures that influence or predict health, to electronic health records at scale, including developing a tool for matching addresses to parcels to assess the impact of housing characteristics on pediatric health. MATERIALS AND METHODS: We created a geomarker pipeline to link residential addresses from hospital admissions at Cincinnati Children's Hospital Medical Center (CCHMC) between July 2016 and June 2022 to place-based data. Linkage methods included by date of admission, geocoding to census tract, street range geocoding, and probabilistic address matching. We assessed 4 methods for probabilistic address matching. RESULTS: We characterized 124 244 hospitalizations experienced by 69 842 children admitted to CCHMC. Of the 55 684 hospitalizations with residential addresses in Hamilton County, Ohio, all were matched to 7 temporal geomarkers, 97% were matched to 79 census tract-level geomarkers and 13 point-level geomarkers, and 75% were matched to 16 parcel-level geomarkers. Parcel-level geomarkers were linked using our exact address matching tool developed using the best-performing linkage method. DISCUSSION: Our multimodal geomarker pipeline provides a reproducible framework for attaching place-based data to health data while maintaining data privacy. This framework can be applied to other populations and in other regions. We also created a tool for address matching that democratizes parcel-level data to advance precision population health efforts. CONCLUSION: We created an open framework for multimodal geomarker assessment by harmonizing and linking a set of over 100 geomarkers to hospitalization data, enabling assessment of links between geomarkers and hospital admissions.

Household Environments and Functional Decline Among Middle-Aged and Older Adults in China: Variations by Gender, Age, and Residence.

This study examined the associations between household social, economic, and physical environments and the trajectory of functional limitations over time among middle-aged and older adults in China, and how this relationship differs by gender, age, and residence. Linear growth curve models were applied to a sample of 13,564 respondents aged 45 years and older from four waves of the China Health and Retirement Longitudinal Study (CHARLS 2011-2018). Living alone, particularly for rural, female, and older respondents, was associated with a faster functional decline when compared to living with a spouse and without children. Improved housing quality was associated with a slower functional decline. Living with young descendants and without adult children for urban residents and a lower expenditure per capita for younger respondents were associated with a faster functional decline. These findings suggest that policies aimed at enhancing living conditions have the potential to improve physical functioning of older adults.

Exploring relationships between smoke exposure, housing characteristics, and preterm birth in California.

Pregnant people are vulnerable to air pollution exposure, including risk of preterm birth, low birth weight, and stillbirth. Understanding the infiltration of outdoor wildfire smoke into a residential space is critical for the accurate assessment of wildfire smoke exposure and associated health effects in pregnant people. Relying on ambient measurements of wildfire smoke alone can result in exposure misclassification. In this study, we examine the role of physical housing characteristics in the relationship between smoke exposure and preterm birth. In particular, we examine the effect of home size, year of construction, cooling type, and renovation status, as effect modifiers in the relationship between smoke exposure during pregnancy and preterm birth from 2007 to 2015 in California. To do this, we combined data on home characteristics from the California Tax Assessor, birth outcomes from the California birth records database, and the number of smoke days for each pregnancy from theNOAA (National Oceanic and Atmospheric Administration) Hazard Mapping System (HMS). We estimated the association between smoke day exposures and odds of preterm birth using logistic regression models and stratified by air basin and housing characteristics. Our findings reveal that cooling type and renovation status are key factors modifying the smoke exposure-preterm birth relationship. Notably, we found elevated associations for people living in unrenovated homes, those using evaporative cooling systems, and those using central air conditioning units. While we observed elevated odds of preterm birth associated with increasing smoke day exposure for residents of large and new homes, this effect does not significantly differ across home size and age quartiles. This study highlights the need to further examine the relative roles of housing characteristics as well as factors not measured here including behavioral factors, time spent outdoors, window use, and occupational exposures in driving adverse birth outcomes related to wildfire smoke exposure.