The relationship between wealth and health is an important yet complex topic for health research. While prior studies document the importance of wealth for healthy aging, the understanding of the mechanisms through which wealth supports health consumption is limited. We investigate the wealth-to-health link by explicitly modeling the effect of liquidating home equity through borrowing on health expenditures, measured here as cost-related non-adherence to prescription medications (CRN), following the onset of one of six costly diseases on or after age 65. Using individual-level data from the 2002-2018 waves of the U.S. Health and Retirement Study (3,772 respondents; 13,708 observations), we exploit exogenous spatial and intertemporal variation in ZIP-code level house values to instrument for borrowing. Results indicate each additional $10,000 in new mortgage borrowing is associated with a 1.6 percentage point reduction in CRN. In subsample regressions, this relationship is strongest for older adults for whom home equity is their largest source of wealth. In a falsification test, we find no relationship between house value changes and CRN for older renters, and no effect of mortgage borrowing on prescription drug non-adherence for health or memory reasons. Our results contribute to the literature by documenting how housing wealth can be tapped by older adults through borrowing to smooth health-related consumption following disease diagnosis. However, not all older homeowners are willing or able to borrow from home equity. Our findings suggest that it is not simply the stock of housing wealth that leads to better health outcomes, but instead the liquidation of housing wealth. Housing wealth is thus not a uniform social determinate of health for older homeowners as it is moderated by the ability to borrow.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.socscimed.2022.115437 | DOI Listing |
Front Public Health
January 2025
School of Mathematics, Statistics, and Computer Science, University of Kwazulu-Natal, Pietermaritzburg, South Africa.
Background: Malaria and anemia are significant public health concerns that contribute to child mortality in African. Despite global efforts to control the two diseases, their prevalence in high-risk regions like Nigeria remains high. Understanding socioeconomic, demographic, and geographical factors associated with malaria and anemia, is critical for effective intervention strategies.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Background: Non-communicable diseases (NCDs) are governed by a cluster of unhealthy behaviours and their determinants, like tobacco and alcohol, unhealthy diet, lack of physical activity, overweight and obesity, pollution (air, water, and soil), and stress. Regulation of these unhealthy behaviours plays a crucial role in blood pressure control among individuals on hypertensive treatment, especially those suffering from uncontrolled hypertension. Hence, the present study aims at identifying the unhealthy behaviours associated with uncontrolled hypertension.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia.
During the COVID-19 pandemic, both government-mandated lockdowns and discretionary changes in behaviour combined to produce dramatic and abrupt changes to human mobility patterns. To understand the socioeconomic determinants of intervention compliance and discretionary behavioural responses to epidemic threats, we investigate whether changes in human mobility showed a systematic variation by socioeconomic status during two distinct periods of the COVID-19 pandemic in Australia. We analyse mobility data from two major urban centres and compare the trends during mandated stay-at-home policies and after the full relaxation of nonpharmaceutical interventions, which coincided with a large surge of COVID-19 cases.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
School of Information Science and Technology, Fudan University, Shanghai, 200433, China; Key Laboratory of Medical Imaging, Computing and Computer Assisted Intervention, Shanghai, 200433, China. Electronic address:
Background And Objective: Utilizing AI to mine tumor microenvironment information in whole slide images (WSIs) for glioma molecular subtype and prognosis prediction is significant for treatment. Existing weakly-supervised learning frameworks based on multi-instance learning have potential in WSIs analysis, but the large number of patches from WSIs challenges the effective extraction of key local patch and neighboring patch microenvironment info. Therefore, this paper aims to develop an automatic neural network that effectively extracts tumor microenvironment information from WSIs to predict molecular typing and prognosis of glioma.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Sociology, The Ohio State University, Columbus, Ohio, United States of America.
Research over the past two decades has noted significant racial/ethnic wealth inequalities-inequalities with important implications for life chances and institutional access. Home ownership is as a foundational element of such inequality with broad consequences for exposure to crime, quality of public safety services, and access to healthcare, education, and employment. Building on earlier scholarship that has tended to focus on specific forms of mortgages, we draw in this article on over 1.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!