Literature DB >> 28863871

Neighborhood built environment and socio-economic status in relation to multiple health outcomes in adolescents.

Javier Molina-García1, Ana Queralt2, Marc A Adams3, Terry L Conway4, James F Sallis5.   

Abstract

The study aim was to examine associations of neighborhood built environment and neighborhood socio-economic status (SES) with multiple physical activity (PA) behaviors, sedentary time, and obesity indicators among adolescents. Cross-sectional study of 325 adolescents aged 14-18years recruited from schools in Valencia, Spain. Participants' home neighborhoods were classified according to walkability and SES levels. Walkability was defined as an index of three built environment characteristics (i.e., residential density, land use mix, and street connectivity) based on geographic information system data. Moderate-vigorous PA (MVPA) and sedentary time were assessed using accelerometers. Active commuting to school, leisure-time PA, and time in specific sedentary activities were evaluated by questionnaire. Objectively measured weight and height were used to calculate body mass index, and percent body fat was analyzed by bioelectrical impedance. Data were collected in 2013-15. Mixed model regression analyses were performed. Analyses showed an SES-by-walkability interaction for MVPA on weekends. MVPA was highest in high-SES/high-walkable neighborhoods. Another SES-by-walkability interaction was found for sedentary minutes per weekend day. The lowest average sedentary minutes were found in high-SES/high-walkable areas. Neighborhood SES was positively related to participation in sports teams/PA classes and, negatively to time spent in sedentary behaviors. Adolescents living in lower-SES neighborhoods spent more time watching TV and had more obesity and body fat. Present findings strengthen the rationale for targeting neighborhood built and SES environments as health promotion interventions for adolescents.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; Body mass index; Exercise; Health disparities; Obesity; Physical activity; Sedentary behaviors; Walkability

Mesh:

Year:  2017        PMID: 28863871     DOI: 10.1016/j.ypmed.2017.08.026

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  35 in total

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3.  State-of-the-art of measures of the obesogenic environment for children.

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4.  Association of individual and neighbourhood socioeconomic status with physical activity and screen time in seventh-grade boys and girls in Berlin, Germany: a cross-sectional study.

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Journal:  BMJ Open       Date:  2017-12-28       Impact factor: 2.692

5.  Recognition of Barriers to Physical Activity Promotion in Immigrant Children in Spain: A Qualitative Case Study.

Authors:  Romain Marconnot; Antonio Luís Marín-Rojas; Jose Manuel Delfa-de-la-Morena; Jorge Pérez-Corrales; Javier Gueita-Rodríguez; Cesar Fernández-de-Las-Peñas; Domingo Palacios-Ceña
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6.  International evaluation of the Microscale Audit of Pedestrian Streetscapes (MAPS) Global instrument: comparative assessment between local and remote online observers.

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7.  Recruitment and Retention Strategies for Community-Based Longitudinal Studies in Diverse Urban Neighborhoods.

Authors:  Emily B Ferris; Katarzyna Wyka; Kelly R Evenson; Joan M Dorn; Lorna Thorpe; Diane Catellier; Terry T-K Huang
Journal:  JMIR Form Res       Date:  2021-03-24

8.  Socioeconomic Inequities in Youth Participation in Physical Activity and Sports.

Authors:  Pooja S Tandon; Emily Kroshus; Katharine Olsen; Kimberly Garrett; Pingping Qu; Julie McCleery
Journal:  Int J Environ Res Public Health       Date:  2021-06-29       Impact factor: 3.390

9.  Influence of the COVID-19 Pandemic on the Lifestyles of Health Sciences University Students in Spain: A Longitudinal Study.

Authors:  Idoia Imaz-Aramburu; Ana-Belén Fraile-Bermúdez; Batirtze San Martín-Gamboa; Silvia Cepeda-Miguel; Borja Doncel-García; Ainhoa Fernandez-Atutxa; Amaia Irazusta; Idoia Zarrazquin
Journal:  Nutrients       Date:  2021-06-07       Impact factor: 5.717

10.  Built Environment, Psychosocial Factors and Active Commuting to School in Adolescents: Clustering a Self-Organizing Map Analysis.

Authors:  Javier Molina-García; Xavier García-Massó; Isaac Estevan; Ana Queralt
Journal:  Int J Environ Res Public Health       Date:  2018-12-29       Impact factor: 3.390

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