期刊
PSYCHOLOGY OF SPORT AND EXERCISE
卷 12, 期 1, 页码 54-60出版社
ELSEVIER
DOI: 10.1016/j.psychsport.2009.09.003
关键词
Promotion & Maintenance of Health & Wellness; Environment design; Physical activity; Epidemiology; Built environment; Residential selection; Neighborhoods
资金
- National Institutes of Health [R01-HD057194, R01-HD041375, R01-HD39183, R01-CA121152, R01-CA109831]
- Robert Wood Johnson Foundation's Active Living Research and Centers for Disease Control and Prevention [R36-EH000380]
- The Henry Dearman and Martha Stucker Dissertation Fellowship in the Royster Society of Fellows at the University of North Carolina at Chapel Hill
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R24HD050924, R01HD057194] Funding Source: NIH RePORTER
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R01HD039183, R01HD041375] Funding Source: NIH RePORTER
- NATIONAL CANCER INSTITUTE [R01CA121152, R01CA109831] Funding Source: NIH RePORTER
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL104580, R01HL114091] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [P30ES010126] Funding Source: NIH RePORTER
Objectives: Within the socio-ecologic framework, diet and physical activity are influenced by individual, inter-personal, organizational, community, and public policy factors. A basic principle underlying this framework is that environments can influence an individual's behavior. However, in the vast majority of cross-sectional and even the few longitudinal studies of this relationship, the question of whether individuals select their area of residence based on physical activity-related amenities is ignored. In this paper, we address a critical methodological issue: self-selection of residential location, which is generally not accounted for, and can significantly compromise research on the relationship between environmental factors and physical activity behaviors. Method: We define and discuss the problem of residential self-selection in the study of neighborhood influences on health and health behavior, review methods used to control for residential self-selection in the literature, and present our strategy for addressing this potentially important source of bias. Conclusion: Existing research has built our understanding of residential self-selection bias, but important gaps remain. Our strategy uses data from a longitudinal cohort study linked to contemporaneous environmental measures to create a multi-equation model system to simultaneously estimate residential choice, environmental influences on physical activity, and downstream health outcomes such as obesity and clinical cardiovascular disease risk factor measures. (C) 2009 Elsevier Ltd. All rights reserved.
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