title: Exercise among urban-dwelling older adults at risk for health disparities.
abstract: This study assessed factors that contribute to exercise in older adults at risk for health disparities living in a predominantly African American urban community. A local health database was used to gain an understanding of these factors, which then could be used to develop programs to improve health within a specific urban community. The sample included 112 participants (mean age = 81); the majority were women and African American. Participants were more likely to exercise if not insured by Medicaid, compared with those who did receive Medicaid. Adults with two or more limitations in instrumental activities of daily living (IADLs) were less likely to exercise. Among those who exercised, those with two or more limitations in IADLs were more likely to exercise less than adults with no such limitations, and adults with high blood pressure were more likely to exercise less than those without high blood pressure. The findings of this study will help generate discussion in both the community and outreach programs to invigorate exercise among older adults at risk for health disparities.
authors.affiliation: University of Pennsylvania, School of Nursing, Claire Fagin Hall, 418 Curie Boulevard, Philadelphia, PA 19104-6096, USA. marx@nursing.upenn.edu
authors.forename: Eileen M
authors.initials: EM
authors.lastname: Sullivan-Marx
authors.forename: Cindy Lou
authors.initials: CL
authors.lastname: Cuesta
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Ratcliffe
mesh_terms: D000203:Activities of Daily Living; D001741:Black or African American / Q000193:education / Q000208:ethnology* / Q000706:statistics & numerical data; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D015444:Exercise / Q000523:psychology*; D005260:Female; D015438:Health Behavior / Q000208:ethnology*; D054624:Health Status Disparities; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data; D009765:Obesity / Q000208:ethnology / Q000517:prevention & control; D010342:Patient Acceptance of Health Care / Q000208:ethnology*; D015143:Philadelphia / Q000453:epidemiology; D018709:Statistics, Nonparametric; D014481:United States; D014505:Urban Population / Q000706:statistics & numerical data