Literature DB >> 23260837

Adolescent sedentary behaviors: correlates differ for television viewing and computer use.

Susan H Babey1, Theresa A Hastert, Joelle Wolstein.   

Abstract

PURPOSE: Sedentary behavior is associated with obesity in youth. Understanding correlates of specific sedentary behaviors can inform the development of interventions to reduce sedentary time. The current research examines correlates of leisure computer use and television viewing among adolescents in California.
METHODS: Using data from the 2005 California Health Interview Survey, we examined individual, family, and environmental correlates of two sedentary behaviors among 4,029 adolescents: leisure computer use and television watching.
RESULTS: Linear regression analyses adjusted for a range of factors indicated several differences in the correlates of television watching and computer use. Correlates of additional time spent watching television included male sex, American Indian and African American race, lower household income, lower levels of physical activity, lower parent educational attainment, and additional hours worked by parents. Correlates of a greater amount of time spent using the computer for fun included older age, Asian race, higher household income, lower levels of physical activity, less parental knowledge of free-time activities, and living in neighborhoods with higher proportions of nonwhite residents and higher proportions of low-income residents. Only physical activity was associated similarly with both watching television and computer use.
CONCLUSIONS: These results suggest that correlates of time spent on television watching and leisure computer use are different. Reducing screen time is a potentially successful strategy in combating childhood obesity, and understanding differences in the correlates of different screen time behaviors can inform the development of more effective interventions to reduce sedentary time.
Copyright © 2013 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23260837      PMCID: PMC3786734          DOI: 10.1016/j.jadohealth.2012.05.001

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


  34 in total

Review 1.  A review of correlates of physical activity of children and adolescents.

Authors:  J F Sallis; J J Prochaska; W C Taylor
Journal:  Med Sci Sports Exerc       Date:  2000-05       Impact factor: 5.411

2.  The effect of perceived and structural neighborhood conditions on adolescents' physical activity and sedentary behaviors.

Authors:  Jinseok Kim; Jihong Liu; Natalie Colabianchi; Russell R Pate
Journal:  Arch Pediatr Adolesc Med       Date:  2010-10

3.  Survey development for assessing correlates of young adolescents' eating.

Authors:  Amanda S Birnbaum; Leslie A Lytle; David M Murray; Mary Story; Cheryl L Perry; Kerri N Boutelle
Journal:  Am J Health Behav       Date:  2002 Jul-Aug

4.  Promoting physical activity in children and youth: a leadership role for schools: a scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism (Physical Activity Committee) in collaboration with the Councils on Cardiovascular Disease in the Young and Cardiovascular Nursing.

Authors:  Russell R Pate; Michael G Davis; Thomas N Robinson; Elaine J Stone; Thomas L McKenzie; Judith C Young
Journal:  Circulation       Date:  2006-08-14       Impact factor: 29.690

5.  American Academy of Pediatrics: Children, adolescents, and television.

Authors: 
Journal:  Pediatrics       Date:  2001-02       Impact factor: 7.124

6.  Television watching, energy intake, and obesity in US children: results from the third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  C J Crespo; E Smit; R P Troiano; S J Bartlett; C A Macera; R E Andersen
Journal:  Arch Pediatr Adolesc Med       Date:  2001-03

7.  A national study of neighborhood safety, outdoor play, television viewing, and obesity in preschool children.

Authors:  Hillary L Burdette; Robert C Whitaker
Journal:  Pediatrics       Date:  2005-09       Impact factor: 7.124

8.  Influence of limit-setting and participation in physical activity on youth screen time.

Authors:  Susan A Carlson; Janet E Fulton; Sarah M Lee; John T Foley; Carrie Heitzler; Marian Huhman
Journal:  Pediatrics       Date:  2010-06-14       Impact factor: 7.124

9.  Television, reading, and computer time: correlates of school-day leisure-time sedentary behavior and relationship with overweight in children in the U.S.

Authors:  Susan B Sisson; Stephanie T Broyles; Birgitta L Baker; Peter T Katzmarzyk
Journal:  J Phys Act Health       Date:  2011-09

10.  Relationship of physical activity and television watching with body weight and level of fatness among children: results from the Third National Health and Nutrition Examination Survey.

Authors:  R E Andersen; C J Crespo; S J Bartlett; L J Cheskin; M Pratt
Journal:  JAMA       Date:  1998-03-25       Impact factor: 56.272

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  24 in total

1.  Physical activity and sedentary behavior of US immigrant versus non-immigrant adolescents: findings from the NEXT Generation Health Study data.

Authors:  Wynette Williams; Kaigang Li; Denise Haynie; Bruce Simons-Morton
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2.  Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits.

Authors:  L D Rosen; A F Lim; J Felt; L M Carrier; N A Cheever; J M Lara-Ruiz; J S Mendoza; J Rokkum
Journal:  Comput Human Behav       Date:  2014-06

3.  Perceived family functioning and friendship quality: cross-sectional associations with physical activity and sedentary behaviours.

Authors:  Andrew J Atkin; Kirsten Corder; Ian Goodyer; Diane Bamber; Ulf Ekelund; Soren Brage; Valerie Dunn; Esther M F van Sluijs
Journal:  Int J Behav Nutr Phys Act       Date:  2015-02-21       Impact factor: 6.457

4.  Are BMI and Sedentariness Correlated? A Multilevel Study in Children.

Authors:  Thayse Natacha Gomes; Peter T Katzmarzyk; Fernanda Karina dos Santos; Raquel Nichele de Chaves; Daniel Santos; Sara Pereira; Catherine M Champagne; Donald Hedeker; José Maia
Journal:  Nutrients       Date:  2015-07-16       Impact factor: 5.717

5.  Screen-based media use clusters are related to other activity behaviours and health indicators in adolescents.

Authors:  Leon Straker; Anne Smith; Beth Hands; Tim Olds; Rebecca Abbott
Journal:  BMC Public Health       Date:  2013-12-13       Impact factor: 3.295

Review 6.  Race/Ethnicity, Obesity, and Related Cardio-Metabolic Risk Factors: A Life-Course Perspective.

Authors:  Gita Wahi; Sonia S Anand
Journal:  Curr Cardiovasc Risk Rep       Date:  2013

7.  Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach.

Authors:  Gregore I Mielke; Wendy J Brown; Ulf Ekelund; Soren Brage; Helen Gonçalves; Fernando C Wehrmeister; Ana M Menezes; Pedro C Hallal
Journal:  Prev Med       Date:  2017-12-22       Impact factor: 4.018

8.  Individual and family environmental correlates of television and computer time in 10- to 12-year-old European children: the ENERGY-project.

Authors:  Maïté Verloigne; Wendy Van Lippevelde; Elling Bere; Yannis Manios; Éva Kovács; Monika Grillenberger; Lea Maes; Johannes Brug; Ilse De Bourdeaudhuij
Journal:  BMC Public Health       Date:  2015-09-18       Impact factor: 3.295

9.  Trends of overweight and obesity, physical activity and sedentary behaviour in Czech schoolchildren: HBSC study.

Authors:  Dagmar Sigmundová; Erik Sigmund; Zdenek Hamrik; Michal Kalman
Journal:  Eur J Public Health       Date:  2013-06-28       Impact factor: 3.367

10.  Television time among Brazilian adolescents: correlated factors are different between boys and girls.

Authors:  Diego Augusto Santos Silva; Mark Stephen Tremblay; Eliane Cristina de Andrade Gonçalves; Roberto Jerônimo dos Santos Silva
Journal:  ScientificWorldJournal       Date:  2014-02-25
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