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Journal article
A Segmented Regression Analysis of Household Income and Recurrent Falls Among Adults in a National Cohort Study
American journal of epidemiology, v 193(3), pp 516-526
01 Mar 2024
PMID: 37939143
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Falls can result in life-altering consequences for older adults, including extended recovery periods and compromised independence. Higher household income may mitigate the risk of falls by providing financial resources for mobility tools, addressing environmental hazards, needed supports, or buffer the impact of an initial fall on subsequent risk through assistance and care. Household income has not had a consistently observed association with falls in older adults however, a segmented association may exist so that associations are attenuated above a certain income threshold. This study utilized segmented negative binomial regression analysis to examine the association between household income and recurrent falls among (N=2,302) REGARDS cohort study participants recruited between 2003-2007. Income-fall association segments separated by changes in slopes were considered. Model results indicated a two-segment association between household income and recurrent falls in the past year. In the range below the breakpoint, household income was negatively associated with the rate of recurrent falls across all age groups examined; in a higher income range ($20,000-$50,000 to >$150,000) the association was attenuated (weaker negative trend) or reversed (positive trend). These findings point to potential benefits of ensuring incomes for lower income adults exceed the threshold to confer a reduced risk of recurrent falls.
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Details
- Title
- A Segmented Regression Analysis of Household Income and Recurrent Falls Among Adults in a National Cohort Study
- Creators
- Janene Brown (Corresponding Author) - Drexel UniversityJana A Hirsch - Drexel UniversityLoni Philip Tabb - Drexel UniversitySuzanne E Judd - University of Alabama at BirminghamAleena Bennett - University of Alabama at BirminghamAndrew Rundle - Columbia UniversityGina S Lovasi - Drexel University
- Publication Details
- American journal of epidemiology, v 193(3), pp 516-526
- Publisher
- Oxford University Press
- Number of pages
- 11
- Grant note
- Lister Hill Center for Health Policy, Pennsylvania Department of Health Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States This work was funded by National Institutes of Health grants R01 HL080477, U01 NS041588, 1R01AG049970, and 3R01AG049970-04S1 and Pennsylvania Department of Health grants 4100075543 and U01DP006293.
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Dana and David Dornsife School of Public Health; Epidemiology and Biostatistics
- Web of Science ID
- WOS:001152317900001
- Scopus ID
- 2-s2.0-85186729656
- Other Identifier
- 991021811632104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health