Neighborhood socioeconomic status predictors of physical activity through young to middle adulthood: the CARDIA study.
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Social science & medicine (1982), ISSN: 1873-5347, Vol: 72, Issue: 5, Page: 641-9
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- Repository URL:
- https://works.bepress.com/catarina_kiefe/191; https://escholarship.umassmed.edu/qhs_pp/989; https://ohsu.pure.elsevier.com/en/publications/a93df3a5-d61a-4267-be12-7476fc3a5e85
- Social Sciences; Arts and Humanities; UMCCTS funding; Confounding factors; Environment design; Epidemiologic methods; Physical activity; Race; Socioeconomic status; USA; Health(social science); Adolescent; Adult; African Continental Ancestry Group; Bias (Epidemiology); Cardiovascular Diseases; European Continental Ancestry Group; Female; Geographic Information Systems; Humans; Longitudinal Studies; Male; *Motor Activity; Residence Characteristics; Risk Factors; *Social Class; Time Factors; United States; Young Adult; Biostatistics; Epidemiology; Health Services Research
Neighborhood socioeconomic status (SES) is related to a wide range of health outcomes, but existing research is dominated by cross-sectional study designs, which are particularly vulnerable to bias by unmeasured characteristics related to both residential location decisions and health-related outcomes. Further, little is known about the mechanisms by which neighborhood SES might influence health. Therefore, we estimated longitudinal relationships between neighborhood SES and physical activity (PA), a theorized mediator of the neighborhood SES-health association. We used data from four years of the Coronary Artery Risk Development in Young Adults (CARDIA) study (n = 5115, 18-30 years at baseline, 1985-1986), a cohort of U.S. young adults followed over 15 years, and a time-varying geographic information system. Using two longitudinal modeling strategies, this is the first study to explicitly examine how the estimated association between neighborhood SES (deprivation) and PA is biased by (a) measured characteristics theorized to influence residential decisions (e.g., controlling for individual SES, marriage, and children in random effects models), and (b) time-invariant, unmeasured characteristics (e.g., controlling for unmeasured motivation to exercise that is constant over time using repeated measures regression modeling, conditioned on the individual). After controlling for sociodemographics (age, sex, race) and individual SES, associations between higher neighborhood deprivation and lower PA were strong and incremental in blacks, but less consistent in whites. Furthermore, adjustment for measured characteristics beyond sociodemographics and individual SES had little influence on the estimated associations; adjustment for unmeasured characteristics attenuated negative associations more strongly in whites than in blacks.