期刊
HEALTH & PLACE
卷 33, 期 -, 页码 9-18出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.healthplace.2015.01.004
关键词
Neighborhood; Diet; Physical activity; Obesity; Insulin resistance
资金
- National Heart, Lung, and Blood Institute (NHLBI) [R01HL104580]
- NHLBI [HHSN268201300025C, HHSN268201300026C, HH5N268201300027C, HHSN268201300028C, HH5N268201300029C, HHSN268200900041C, AG0005]
- Intramural Research Program of the National Institute on Aging (NIA)
- NIA [AG0005]
- Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD] [R24HD-050924]
- National Institute for Diabetes and Digestive and Kidney Diseases [NIDDK] [P30DK-56350]
- National Institute of Environmental Health Sciences [NIEHS] [P30ES010126]
Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergisLic seL of food and physical activity resources, yet most research examines discrete characteristics. We charaderized neighborhoods with respect to their composition of features, and quantified associations with diet, physical acriviLy (PA), body mass index (BMI), and insulin resisrance (lR) in a longitudinal biracial cohort (n=4143; aged 25-37; 1992-2006). We used latent class analysis to derive population-density-specific ( < vs. >= 1750 people per sq km) clusters of neighborhood indicators: road connectivity, parks and PA Facilities, and food stores/restaurants. In lower population density areas, a latent class with higher food and PA resource diversity (relative to other clusters) was significantly associated with higher diet quality. In higher population density areas, a cluster with relatively more natural food/specialty stores; fewer convenience stores; and more PA resources was associated with higher diet quality. Neighborhood clusters were inconsistently associated with BMl and FR, and not associated with fast food consumption, walking, biking, or running. (C) 2015 Elsevier Ltd. All rights reserved.
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