Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood

<p>Abstract</p> <p>Background</p> <p>Built environment research is dominated by cross-sectional designs, which are particularly vulnerable to residential self-selection bias resulting from health-related attitudes, neighborhood preferences, or other unmeasured character...

Full description

Bibliographic Details
Main Authors: Gordon-Larsen Penny, Evenson Kelly R, Guilkey David K, Boone-Heinonen Janne
Format: Article
Language:English
Published: BMC 2010-10-01
Series:International Journal of Behavioral Nutrition and Physical Activity
Online Access:http://www.ijbnpa.org/content/7/1/70
id doaj-fe0bf42d868f429ca79b44730b46896e
record_format Article
spelling doaj-fe0bf42d868f429ca79b44730b46896e2020-11-25T01:01:43ZengBMCInternational Journal of Behavioral Nutrition and Physical Activity1479-58682010-10-01717010.1186/1479-5868-7-70Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthoodGordon-Larsen PennyEvenson Kelly RGuilkey David KBoone-Heinonen Janne<p>Abstract</p> <p>Background</p> <p>Built environment research is dominated by cross-sectional designs, which are particularly vulnerable to residential self-selection bias resulting from health-related attitudes, neighborhood preferences, or other unmeasured characteristics related to both neighborhood choice and health-related outcomes.</p> <p>Methods</p> <p>We used cohort data from the National Longitudinal Study of Adolescent Health (United States; Wave I, 1994-95; Wave III, 2001-02; n = 12,701) and a time-varying geographic information system. Longitudinal relationships between moderate to vigorous physical activity (MVPA) bouts and built and socioeconomic environment measures (landcover diversity, pay and public physical activity facilities per 10,000 population, street connectivity, median household income, and crime rate) from adolescence to young adulthood were estimated using random effects models (biased by unmeasured confounders) and fixed effects models (within-person estimator, which adjusts for unmeasured confounders that are stable over time).</p> <p>Results</p> <p>Random effects models yielded null associations except for negative crime-MVPA associations [coefficient (95% CI): -0.056 (-0.083, -0.029) in males, -0.061 (-0.090, -0.033) in females]. After controlling for measured and time invariant unmeasured characteristics using within-person estimators, MVPA was higher with greater physical activity pay facilities in males [coefficient (95% CI): 0.024 (0.006, 0.042)], and lower with higher crime rates in males [coefficient (95% CI): -0.107 (-0.140, -0.075)] and females [coefficient (95% CI): -0.046 (-0.083, -0.009)]. Other associations were null or in the counter-intuitive direction.</p> <p>Conclusions</p> <p>Comparison of within-person estimates to estimates unadjusted for unmeasured characteristics suggest that residential self-selection can bias associations toward the null, as opposed to its typical characterization as a positive confounder. Differential environment-MVPA associations by residential relocation suggest that studies examining changes following residential relocation may be vulnerable to selection bias. The authors discuss complexities of adjusting for residential self-selection and residential relocation, particularly during the adolescent to young adult transition.</p> http://www.ijbnpa.org/content/7/1/70
collection DOAJ
language English
format Article
sources DOAJ
author Gordon-Larsen Penny
Evenson Kelly R
Guilkey David K
Boone-Heinonen Janne
spellingShingle Gordon-Larsen Penny
Evenson Kelly R
Guilkey David K
Boone-Heinonen Janne
Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
International Journal of Behavioral Nutrition and Physical Activity
author_facet Gordon-Larsen Penny
Evenson Kelly R
Guilkey David K
Boone-Heinonen Janne
author_sort Gordon-Larsen Penny
title Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
title_short Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
title_full Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
title_fullStr Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
title_full_unstemmed Residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
title_sort residential self-selection bias in the estimation of built environment effects on physical activity between adolescence and young adulthood
publisher BMC
series International Journal of Behavioral Nutrition and Physical Activity
issn 1479-5868
publishDate 2010-10-01
description <p>Abstract</p> <p>Background</p> <p>Built environment research is dominated by cross-sectional designs, which are particularly vulnerable to residential self-selection bias resulting from health-related attitudes, neighborhood preferences, or other unmeasured characteristics related to both neighborhood choice and health-related outcomes.</p> <p>Methods</p> <p>We used cohort data from the National Longitudinal Study of Adolescent Health (United States; Wave I, 1994-95; Wave III, 2001-02; n = 12,701) and a time-varying geographic information system. Longitudinal relationships between moderate to vigorous physical activity (MVPA) bouts and built and socioeconomic environment measures (landcover diversity, pay and public physical activity facilities per 10,000 population, street connectivity, median household income, and crime rate) from adolescence to young adulthood were estimated using random effects models (biased by unmeasured confounders) and fixed effects models (within-person estimator, which adjusts for unmeasured confounders that are stable over time).</p> <p>Results</p> <p>Random effects models yielded null associations except for negative crime-MVPA associations [coefficient (95% CI): -0.056 (-0.083, -0.029) in males, -0.061 (-0.090, -0.033) in females]. After controlling for measured and time invariant unmeasured characteristics using within-person estimators, MVPA was higher with greater physical activity pay facilities in males [coefficient (95% CI): 0.024 (0.006, 0.042)], and lower with higher crime rates in males [coefficient (95% CI): -0.107 (-0.140, -0.075)] and females [coefficient (95% CI): -0.046 (-0.083, -0.009)]. Other associations were null or in the counter-intuitive direction.</p> <p>Conclusions</p> <p>Comparison of within-person estimates to estimates unadjusted for unmeasured characteristics suggest that residential self-selection can bias associations toward the null, as opposed to its typical characterization as a positive confounder. Differential environment-MVPA associations by residential relocation suggest that studies examining changes following residential relocation may be vulnerable to selection bias. The authors discuss complexities of adjusting for residential self-selection and residential relocation, particularly during the adolescent to young adult transition.</p>
url http://www.ijbnpa.org/content/7/1/70
work_keys_str_mv AT gordonlarsenpenny residentialselfselectionbiasintheestimationofbuiltenvironmenteffectsonphysicalactivitybetweenadolescenceandyoungadulthood
AT evensonkellyr residentialselfselectionbiasintheestimationofbuiltenvironmenteffectsonphysicalactivitybetweenadolescenceandyoungadulthood
AT guilkeydavidk residentialselfselectionbiasintheestimationofbuiltenvironmenteffectsonphysicalactivitybetweenadolescenceandyoungadulthood
AT booneheinonenjanne residentialselfselectionbiasintheestimationofbuiltenvironmenteffectsonphysicalactivitybetweenadolescenceandyoungadulthood
_version_ 1725207777801928704