Literature DB >> 19699443

Youth destinations associated with objective measures of physical activity in adolescents.

Angie L Cradock1, Steven J Melly, Joseph G Allen, Jeffrey S Morris, Steven L Gortmaker.   

Abstract

PURPOSE: Limited availability of desirable destinations within walkable distances and unsuitable weather may adversely affect physical activity among adolescents on weekends. This study examines evidence for associations between objective measures of local environment and physical activity levels of adolescents.
METHODS: Students (n=152, 59% male; mean age, 13.7 years) from 10 neighborhoods with schools in four communities wore TriTrac-R3D accelerometers recording physical movements on weekends. Minute-by-minute data were summed over 15-minute intervals providing estimates of proportion of time spent in moderate and vigorous physical activity (MVPA) and (log) mean physical activity levels on weekends (n=7,506 intervals). Objective measures of neighborhood characteristics were calculated using geographic information systems including average daily traffic, housing density, open space, and density of employees per square kilometer in youth destinations. Linear mixed models were fit examining associations between neighborhood environmental variables and accelerometer measures of physical activity, controlling for time, day, age, body mass index, gender of respondent, race/ethnicity, precipitation, and temperature deviation.
RESULTS: On weekends, the presence of greater densities of employees in neighborhood destinations serving youth (beta=3.96, p=0.050) was directly associated with MVPA, independent of student characteristics.
CONCLUSIONS: Young people attending schools in neighborhoods characterized by greater densities of employees in destinations for youth are more physically active on weekends. Compared with neighborhoods with lower densities, attending a school in neighborhoods with higher densities of employees in potential destinations for youth may contribute to participation in an additional 30 minutes of MVPA per day on weekends.

Entities:  

Mesh:

Year:  2009        PMID: 19699443      PMCID: PMC3260553          DOI: 10.1016/j.jadohealth.2009.06.007

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  33 in total

1.  Using objective physical activity measures with youth: how many days of monitoring are needed?

Authors:  S G Trost; R R Pate; P S Freedson; J F Sallis; W C Taylor
Journal:  Med Sci Sports Exerc       Date:  2000-02       Impact factor: 5.411

2.  A schematic for focusing on youth in investigations of community design and physical activity.

Authors:  Kevin J Krizek; Amanda S Birnbaum; David M Levinson
Journal:  Am J Health Promot       Date:  2004 Sep-Oct

3.  Comments on Boone et al., "Validation of a GIS facilities database: quantification and implications of error".

Authors:  P A Zandbergen
Journal:  Ann Epidemiol       Date:  2008-10       Impact factor: 3.797

4.  Active travel to school and cardiovascular fitness in Danish children and adolescents.

Authors:  Ashley R Cooper; Niels Wedderkopp; Han Wang; Lars Bo Andersen; Karsten Froberg; Angie S Page
Journal:  Med Sci Sports Exerc       Date:  2006-10       Impact factor: 5.411

5.  Play Across Boston: a community initiative to reduce disparities in access to after-school physical activity programs for inner-city youths.

Authors:  Cynthia Hannon; Angie Cradock; Steven L Gortmaker; Jean Wiecha; Alison El Ayadi; Linda Keefe; Alfreda Harris
Journal:  Prev Chronic Dis       Date:  2006-06-15       Impact factor: 2.830

6.  Physical activity levels of children who walk, cycle, or are driven to school.

Authors:  Ashley R Cooper; Lars Bo Andersen; Niels Wedderkopp; Angie S Page; Karsten Froberg
Journal:  Am J Prev Med       Date:  2005-10       Impact factor: 5.043

Review 7.  Environmental correlates of physical activity in youth - a review and update.

Authors:  I Ferreira; K van der Horst; W Wendel-Vos; S Kremers; F J van Lenthe; J Brug
Journal:  Obes Rev       Date:  2007-03       Impact factor: 9.213

8.  Active commuting to school: Associations with environment and parental concerns.

Authors:  Jacqueline Kerr; Dori Rosenberg; James F Sallis; Brian E Saelens; Lawrence D Frank; Terry L Conway
Journal:  Med Sci Sports Exerc       Date:  2006-04       Impact factor: 5.411

9.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

10.  The effects of neighborhood density and street connectivity on walking behavior: the Twin Cities walking study.

Authors:  J Michael Oakes; Ann Forsyth; Kathryn H Schmitz
Journal:  Epidemiol Perspect Innov       Date:  2007-12-13
View more
  9 in total

1.  A multilevel examination of factors of the school environment and time spent in moderate to vigorous physical activity among a sample of secondary school students in grades 9-12 in Ontario, Canada.

Authors:  Erin Hobin; Scott Leatherdale; Steve Manske; Joel Dubin; Susan Elliott; Paul Veugelers
Journal:  Int J Public Health       Date:  2012-02-10       Impact factor: 3.380

2.  Out and about: association of the built environment with physical activity behaviors of adolescent females.

Authors:  Daniel A Rodríguez; Gi-Hyoug Cho; Kelly R Evenson; Terry L Conway; Deborah Cohen; Bonnie Ghosh-Dastidar; Julie L Pickrel; Sara Veblen-Mortenson; Leslie A Lytle
Journal:  Health Place       Date:  2011-09-16       Impact factor: 4.078

3.  Influence of the built environment on pedestrian route choices of adolescent girls.

Authors:  Daniel A Rodríguez; Louis Merlin; Carlo G Prato; Terry L Conway; Deborah Cohen; John P Elder; Kelly R Evenson; Thomas L McKenzie; Julie L Pickrel; Sara Veblen-Mortenson
Journal:  Environ Behav       Date:  2015-05-01

4.  Racial differences in the built environment--body mass index relationship? A geospatial analysis of adolescents in urban neighborhoods.

Authors:  Dustin T Duncan; Marcia C Castro; Steven L Gortmaker; Jared Aldstadt; Steven J Melly; Gary G Bennett
Journal:  Int J Health Geogr       Date:  2012-04-26       Impact factor: 3.918

5.  A multilevel examination of gender differences in the association between features of the school environment and physical activity among a sample of grades 9 to 12 students in Ontario, Canada.

Authors:  Erin P Hobin; Scott T Leatherdale; Steve Manske; Joel A Dubin; Susan Elliott; Paul Veugelers
Journal:  BMC Public Health       Date:  2012-01-24       Impact factor: 3.295

6.  Measuring health-relevant businesses over 21 years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set.

Authors:  Tanya K Kaufman; Daniel M Sheehan; Andrew Rundle; Kathryn M Neckerman; Michael D M Bader; Darby Jack; Gina S Lovasi
Journal:  BMC Res Notes       Date:  2015-09-29

Review 7.  Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020.

Authors:  Taylor B Turrisi; Kelsey M Bittel; Ashley B West; Sarah Hojjatinia; Sahar Hojjatinia; Scherezade K Mama; Constantino M Lagoa; David E Conroy
Journal:  Int J Behav Nutr Phys Act       Date:  2021-02-04       Impact factor: 6.457

8.  Traffic-related environmental factors and childhood obesity: A systematic review and meta-analysis.

Authors:  Zhuo Wang; Li Zhao; Qin Huang; Andy Hong; Chao Yu; Qian Xiao; Bin Zou; Shuming Ji; Longhao Zhang; Kun Zou; Yi Ning; Junfeng Zhang; Peng Jia
Journal:  Obes Rev       Date:  2020-01-30       Impact factor: 9.213

Review 9.  Green Buildings and Health.

Authors:  Joseph G Allen; Piers MacNaughton; Jose Guillermo Cedeno Laurent; Skye S Flanigan; Erika Sita Eitland; John D Spengler
Journal:  Curr Environ Health Rep       Date:  2015-09
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.