TY - JOUR
T1 - Neighborhood socioeconomic status predictors of physical activity through young to middle adulthood
T2 - The CARDIA study
AU - Boone-Heinonen, Janne
AU - Diez Roux, Ana V.
AU - Kiefe, Catarina I.
AU - Lewis, Cora E.
AU - Guilkey, David K.
AU - Gordon-Larsen, Penny
N1 - Funding Information:
Funding for this study comes from the National Institutes of Health : ( R01 HL104580 , R01-CA109831 , R01-CA121152 ). Additional funding has come from NIH ( R01-AA12162 & DK056350 ), the UNC-CH Center for Environmental Health and Susceptibility (CEHS) ( NIH P30-ES10126 ), the UNC-CH Clinic Nutrition Research Center ( NIH DK56350 ), and the Carolina Population Center ; and from contracts with the University of Alabama at Birmingham , Coordinating Center, N01-HC-95095 ; University of Alabama at Birmingham, Field Center, N01-HC-48047 ; University of Minnesota , Field Center, N01-HC-48048 ; Northwestern University , Field Center, N01-HC-48049 ; Kaiser Foundation Research Institute , N01-HC-48050 from the National Heart, Lung and Blood Institute .
PY - 2011/3
Y1 - 2011/3
N2 - 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.
AB - 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.
KW - Confounding factors
KW - Environment design
KW - Epidemiologic methods
KW - Physical activity
KW - Race
KW - Socioeconomic status
KW - USA
UR - http://www.scopus.com/inward/record.url?scp=79952005745&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952005745&partnerID=8YFLogxK
U2 - 10.1016/j.socscimed.2010.12.013
DO - 10.1016/j.socscimed.2010.12.013
M3 - Article
C2 - 21316829
AN - SCOPUS:79952005745
SN - 0277-9536
VL - 72
SP - 641
EP - 649
JO - Ethics in Science and Medicine
JF - Ethics in Science and Medicine
IS - 5
ER -