TY - JOUR
T1 - Combined measure of neighborhood food and physical activity environments and weight-related outcomes
T2 - The CARDIA study
AU - Meyer, Katie A.
AU - Boone-Heinonen, Janne
AU - Duffey, Kiyah J.
AU - Rodriguez, Daniel A.
AU - Kiefe, Catarina I.
AU - Lewis, Cora E.
AU - Gordon-Larsen, Penny
N1 - Funding Information:
The authors would like to acknowledge CARDIA Chief Reviewer Linda Van Horn, PhD, whose thoughtful suggestions improved the paper. The authors have no financial or other conflicts of interest to disclose. Katie Meyer and Penny Gordon-Larsen had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of data analysis. This work was funded by the National Heart, Lung, and Blood Institute (NHLBI) R01HL104580 . The Coronary Artery Risk Development in Young Adults Study (CARDIA) is supported by contracts HHSN268201300025C , HHSN268201300026C , HHSN268201300027C , HHSN268201300028C , HHSN268201300029C , and HHSN268200900041C from the NHLBI, the Intramural Research Program of the National Institute on Aging (NIA), and an intra-agency agreement between NIA and NHLBI ( AG0005 ). For general support, the authors are grateful to the Carolina Population Center, University of North Carolina at Chapel Hill (Grant R24HD050924 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development [ NICHD ]), the Nutrition Obesity Research Center (NORC), University of North Carolina (Grant P30DK56350 from the National Institute for Diabetes and Digestive and Kidney Diseases [ NIDDK ]), and the UNC Center for Environmental Health and Susceptibility (CEHS), University of North Carolina (Grant P30ES010126 from the National Institute of Environmental Health Sciences [ NIEHS ]). NIH had no role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.
Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/5/1
Y1 - 2015/5/1
N2 - Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations with diet, physical activity (PA), body mass index (BMI), and insulin resistance (IR) 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 BMI and IR, and not associated with fast food consumption, walking, biking, or running.
AB - Engagement in healthy lifestyle behaviors likely reflects access to a diverse and synergistic set of food and physical activity resources, yet most research examines discrete characteristics. We characterized neighborhoods with respect to their composition of features, and quantified associations with diet, physical activity (PA), body mass index (BMI), and insulin resistance (IR) 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 BMI and IR, and not associated with fast food consumption, walking, biking, or running.
KW - Diet
KW - Insulin resistance
KW - Neighborhood
KW - Obesity
KW - Physical activity
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U2 - 10.1016/j.healthplace.2015.01.004
DO - 10.1016/j.healthplace.2015.01.004
M3 - Article
C2 - 25723792
AN - SCOPUS:84923233194
SN - 1353-8292
VL - 33
SP - 9
EP - 18
JO - Health and Place
JF - Health and Place
ER -