Literature DB >> 21531620

The associations between physical activity, screen time and weight from 6 to 14 yrs: the Raine Study.

Beth P Hands1, Paola T Chivers, Helen E Parker, Lawrence Beilin, Garth Kendall, Dawne Larkin.   

Abstract

To examine the strength and direction of the relationship between physical activity level, screen use and BMI in a cohort at ages 6, 8, 10 and 14 yrs as part of a prospective longitudinal cohort study. The sample comprised 1403 males and females who participated in the follow-up survey at 14 yrs of age between 2003 and 2005. Exploratory structural equation modelling was used to examine the interrelationships between physical activity level, BMI and screen time at 6, 8, 10 and 14 yrs. Predictors of BMI at 6, 8, 10 and 14 yrs explained 1.3, 76.1, 80.1 and 73.1 percent of the variances, respectively, with previous BMI the largest predictor [χ(2)=43.082, df=36, p=194]. Increased screen time predicted higher BMI and lower physical activity at 8 and 10 yrs but not 14 yrs. At 14 yrs, physical activity predicted BMI. Sedentary patterns of behaviour in early childhood were predictive of later and concurrent obesity, whereas physical activity was predictive of obesity in adolescence. Different intervention targets are required for children and adolescents.
Copyright © 2011 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21531620     DOI: 10.1016/j.jsams.2011.03.011

Source DB:  PubMed          Journal:  J Sci Med Sport        ISSN: 1878-1861            Impact factor:   4.319


  28 in total

1.  Cohort Profile: The Western Australian Pregnancy Cohort (Raine) Study-Generation 2.

Authors:  Leon Straker; Jenny Mountain; Angela Jacques; Scott White; Anne Smith; Louis Landau; Fiona Stanley; John Newnham; Craig Pennell; Peter Eastwood
Journal:  Int J Epidemiol       Date:  2017-10-01       Impact factor: 7.196

2.  Anhedonia, screen time, and substance use in early adolescents: A longitudinal mediation analysis.

Authors:  Georgia Christodoulou; Anuja Majmundar; Chih-Ping Chou; Mary Ann Pentz
Journal:  J Adolesc       Date:  2019-12-05

Review 3.  Assessment and management of obesity in childhood and adolescence.

Authors:  Louise A Baur; Briony Hazelton; Vanessa A Shrewsbury
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2011-10-04       Impact factor: 46.802

4.  Predictors of moderate-to-vigorous physical activity (MVPA) in African American young adolescents.

Authors:  Monica L Baskin; Herpreet Thind; Olivia Affuso; Lisa C Gary; Mark LaGory; Sean-Shong Hwang
Journal:  Ann Behav Med       Date:  2013-02

5.  The relation between internet use and overweight among adolescents: a longitudinal study in Switzerland.

Authors:  Y Barrense-Dias; A Berchtold; C Akre; J-C Surís
Journal:  Int J Obes (Lond)       Date:  2015-08-07       Impact factor: 5.095

6.  Cardiorespiratory Fitness as Mediator of the Relationship of Recreational Screen Time on Mediterranean Diet Score in Schoolchildren.

Authors:  José Francisco López-Gil; Antonio García-Hermoso; Javier Brazo-Sayavera; Pedro Juan Tárraga López; Juan Luis Yuste Lucas
Journal:  Int J Environ Res Public Health       Date:  2021-04-23       Impact factor: 3.390

7.  Beyond Screen Time: Assessing Recreational Sedentary Behavior among Adolescent Girls.

Authors:  Katherine W Bauer; Sarah Friend; Daniel J Graham; Dianne Neumark-Sztainer
Journal:  J Obes       Date:  2011-10-12

8.  Parent support and parent-mediated behaviors are associated with children's sugary beverage consumption.

Authors:  Nanette V Lopez; Guadalupe X Ayala; Kirsten Corder; Christina M Eisenberg; Michelle M Zive; Christine Wood; John P Elder
Journal:  J Acad Nutr Diet       Date:  2012-04       Impact factor: 4.910

9.  Child fitness and father's BMI are important factors in childhood obesity: a school based cross-sectional study.

Authors:  Sinead Brophy; Anwen Rees; Gareth Knox; Julien S Baker; Julien Baker; Non E Thomas
Journal:  PLoS One       Date:  2012-05-31       Impact factor: 3.240

10.  Predictors and health consequences of screen-time change during adolescence--1993 Pelotas (Brazil) birth cohort study.

Authors:  Samuel Carvalho Dumith; Leandro Martin Totaro Garcia; Kelly Samara da Silva; Ana Maria Baptista Menezes; Pedro Curi Hallal
Journal:  J Adolesc Health       Date:  2012-11-10       Impact factor: 5.012

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