Housing and Cardiometabolic Risk Among Older Renters and Homeowners

Does Subsidized Housing Prevent Health Decline and 2-Year Mortality Among Low-Income Older Renters?

BACKGROUND AND OBJECTIVES

A growing number of older adults in the United States need subsidized housing, but only 36% of eligible households receive assistance. The purpose of this study is to examine if older renters living in subsidized housing are less likely to experience health decline and mortality over 2 years compared to low-income older renters who are likely eligible, but do not receive assistance.

RESEARCH DESIGN AND METHODS

Baseline data include 671 subsidized and unsubsidized low-income older renters from the 2015 National Health and Aging Trends Study. Outcomes of interest include self-rated health decline, developing a new activity limitation, or 2-year mortality between 2015 and 2017. Weighted stepwise logistic regression models test (a) if subsidized older renters were less likely to experience health decline or 2-year mortality compared to unsubsidized older renters, and (b) if housing quality and neighborhood factors mediate the association between subsidized housing and health decline/mortality.

RESULTS

Subsidized older renters were less likely to develop a new activity limitation compared to unsubsidized older renters, but there was not a statistically significant difference in experiencing self-rated health decline or 2-year mortality by subsidized housing status. Housing quality and neighborhood factors did not significantly mediate this association.

DISCUSSION AND IMPLICATIONS

The results provide some support that improving access to subsidized housing for low-income older renters may have additional health benefits, even in the short term. To inform program improvements and maximize potential health benefits, more research is needed to understand the specific health-promoting features of subsidized housing.

The Health and Retirement Study: Contextual Data Augmentation

The Health and Retirement Study is an amazing resource for those studying aging in the United States, and a fantastic model for other countries who have created similar longitudinal studies. The raw amount of information, from data on income, wealth, and use of health services to employment, retirement, and family connections on to the collection of clinical biomarkers can be both empowering and overwhelming to a researcher. Luckily through the process of engagement with the research community and constant improvement, these reams of data are not only consistently growing in a thoughtful and focused direction, they are also explained and summarized to increase the ease of use for all. One of the very useful areas of the HRS is the Contextual Data File (CDF), which is the focus of this review. The CDF provides access to easy-to-use helpful community-level data in a secure environment that has allowed researchers to answer questions that would have otherwise been difficult or impossible to tackle. The current CDF includes data in six categories (University of Michigan Institute for Social Research. 2017. HRS Data Book: The Health and Retirement Study: Aging in the 21st Century, Challenges and Opportunities for Americans. Ann Arbor: University of Michigan. Also available at https://hrs.isr.umich.edu/about/data-book, 17): 1. Socio-economic Status and Demographic Structure 2. Psychosocial Stressors 3. Health Care 4. Physical Hazards 5. Amenities 6. Land Use and the Built Environment. Each of these areas have allowed researchers to answer interesting questions such as what is the impact of air pollution on cognition in older adults (Ailshire, J., and K. M. Walsemann. 2021. "Education Differences in the Adverse Impact of PM 2.5 on Incident Cognitive Impairment Among U.S. Older Adults." Journal of Alzheimer's Disease 79 (2): 615-25), the impact of neighborhood characteristics on obesity in older adults (Grafova, I. B., V. A. Freedman, R. Kumar, and J. Rogowski. 2008. "Neighborhoods and Obesity in Later Life." American Journal of Public Health 98: 2065-71), or even what do we gain from introducing contextual data to a survey analysis (Wilkinson, L. R., K. F. Ferraro, and B. R. Kemp. 2017. "Contextualization of Survey Data: What Do We Gain and Does it Matter?" Research in Human Development 14 (3): 234-52)? My review focuses on the potential to expand contextual data in a few of these areas. From new data sets developed and released by the U.S. Census Bureau, to improved measurements of climate and environmental risk, there are numerous new data sources that would be a boon to the research community if they were joined together with the HRS. The following section begins by breaking down the opportunity provided by community or place-based data before moving on to specific recommendations for new data that could be included in the HRS contextual data file.

Housing Cost Burden and Health Decline Among Low- and Moderate-Income Older Renters

OBJECTIVE

To examine the association between housing cost burden and health decline among low- and moderate-income older renters in the U.S.

METHODS

Baseline data include low- and moderate-income community-dwelling older renters (N = 1,064) from the nationally representative 2015 National Health and Aging Trends Study. Housing cost burden (HCB) was defined as the percentage of monthly income spent on rent, categorized as "no HCB" (<30%), "moderate HCB" (30-49%), and "severe HCB" (≥50%). We used weighted logistic regression models to estimate whether HCB status in 2015 and change in HCB between 2015 and 2017 were associated with self-rated health decline and developing a new limitation related to activities of daily living (ADL) or instrumental activities of daily living (IADL) between 2015 and 2017.

RESULTS

Older renters with severe HCB in 2015 were the most likely to develop a new ADL/IADL limitation (63.4%) over time (p < .05). The association between HCB status in 2015 and self-rated health decline was not statistically significant, but older renters with persistent HCB had 1.64 times greater odds of self-rated health decline (p < .05) and 2.01 times greater odds of developing a new ADL/IADL limitation (p < .01), compared to older renters with no HCB at baseline and follow-up.

DISCUSSION

Even in the short term, HCB contributes to health decline in later life. Efforts to promote equity and healthy aging in the community must consider how to best address housing affordability among the growing population of older renters.