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The built environment and depressive symptoms among urban youth: A spatial regression study.
- Source :
-
Spatial and spatio-temporal epidemiology [Spat Spatiotemporal Epidemiol] 2013 Jun; Vol. 5, pp. 11-25. Date of Electronic Publication: 2013 Mar 28. - Publication Year :
- 2013
-
Abstract
- This study evaluated spatial relationships between features of the built environment and youth depressive symptoms. Data used in this study came from the 2008 Boston Youth Survey Geospatial Dataset, which includes Boston high school students with complete residential information (n=1170). Features of the built environment (such as access to walking destinations and community design features) were created for 400- and 800-m street network buffers of the youths' residences. We computed standard Ordinary Least Squares (OLS) regression and spatial simultaneous autoregressive models. We found significant positive spatial autocorrelation in all of the built environment features at both spatial scales (all p=0.001), depressive symptoms (p=0.034) as well as in the OLS regression residuals (all p<0.001), and, therefore, fit spatial regression models. Findings from the spatial regression models indicate that the built environment can have depressogenic effects, which can vary by spatial scale, gender and race/ethnicity (though sometimes in unexpected directions, i.e. associations opposite to our expectations). While our results overall suggest that the built environment minimally influences youth depressive symptoms, additional research is needed, including to understand our results in the unexpected direction.<br /> (Copyright © 2013 Elsevier Ltd. All rights reserved.)
- Subjects :
- Adolescent
Boston epidemiology
Data Collection
Depression diagnosis
Humans
Least-Squares Analysis
Models, Statistical
Psychiatric Status Rating Scales
Racial Groups
Schools
Sex Factors
Spatial Analysis
Cities
Depression epidemiology
Residence Characteristics
Urban Population statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1877-5853
- Volume :
- 5
- Database :
- MEDLINE
- Journal :
- Spatial and spatio-temporal epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 23725884
- Full Text :
- https://doi.org/10.1016/j.sste.2013.03.001