Literature DB >> 17209269

Sedentary behaviours among Australian adolescents.

Louise L Hardy1, Timothy Dobbins, Michael L Booth, Elizabeth Denney-Wilson, Anthony D Okely.   

Abstract

OBJECTIVE: To describe the prevalence and distribution (by demographic characteristics and body mass index [BMI] category) of sedentary behaviour among Australian adolescents aged 11-15 years.
METHOD: Cross-sectional representative population survey of school students (n = 2,750) in New South Wales, conducted in 2004. Students' self-reported time spent during a usual week in five categories of sedentary behaviour (small screen recreation [SSR], education, cultural, social and non-active travel). Height and weight were measured.
RESULTS: Grade 6, 8 and 10 students spent approximately 34 hours, 41 hours and 45 hours/week of their discretionary time, respectively, engaged in sedentary behaviour. Urban students and students from Asian-speaking backgrounds spent significantly more time sedentary than students from rural areas or other cultural backgrounds. SSR accounted for 60% and 54% of sedentary behaviour among primary and high school students, respectively. Overweight and obese students spent more time in SSR than healthy weight students. Out-of-school hours educational activities accounted for approximately 20% of sedentary behaviour and increased with age. Girls spent twice the time in social activities compared with boys. Time spent in cultural activities declined with age.
CONCLUSION: Sedentary behaviours among young people differ according to sex, age and cultural background. At least half of all time spent in sedentary behaviours was spent engaged in SSR. BMI was significantly associated with sedentary behaviour among some children, but not consistently across age groups. IMPLICATIONS: A clear understanding of young people's patterns of sedentary behaviour is required to develop effective and sustainable intervention programs to promote healthy living.

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Year:  2006        PMID: 17209269     DOI: 10.1111/j.1467-842x.2006.tb00782.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  15 in total

1.  Screen time and physical activity behaviours are associated with health-related quality of life in Australian adolescents.

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2.  Correlates of screen time among 8-19-year-old students in China.

Authors:  Sunyue Ye; Lijian Chen; Qineng Wang; Qinggong Li
Journal:  BMC Public Health       Date:  2018-04-10       Impact factor: 3.295

3.  Temporal trends and recent correlates in sedentary behaviours in Chinese children.

Authors:  Zhaohui Cui; Louise L Hardy; Michael J Dibley; Adrian Bauman
Journal:  Int J Behav Nutr Phys Act       Date:  2011-08-26       Impact factor: 6.457

4.  Associations between screen time and physical activity among Spanish adolescents.

Authors:  Jose A Serrano-Sanchez; Sara Martí-Trujillo; Angela Lera-Navarro; Cecilia Dorado-García; Juan J González-Henríquez; Joaquín Sanchís-Moysi
Journal:  PLoS One       Date:  2011-09-01       Impact factor: 3.240

Review 5.  Systematic review of sedentary behaviour and health indicators in school-aged children and youth.

Authors:  Mark S Tremblay; Allana G LeBlanc; Michelle E Kho; Travis J Saunders; Richard Larouche; Rachel C Colley; Gary Goldfield; Sarah Connor Gorber
Journal:  Int J Behav Nutr Phys Act       Date:  2011-09-21       Impact factor: 6.457

6.  Adolescent-parent interactions and attitudes around screen time and sugary drink consumption: a qualitative study.

Authors:  Libby A Hattersley; Vanessa A Shrewsbury; Lesley A King; Sarah A Howlett; Louise L Hardy; Louise A Baur
Journal:  Int J Behav Nutr Phys Act       Date:  2009-09-09       Impact factor: 6.457

7.  Examining the validity of the ActivPAL monitor in measuring posture and ambulatory movement in children.

Authors:  Saeideh Aminian; Erica A Hinckson
Journal:  Int J Behav Nutr Phys Act       Date:  2012-10-02       Impact factor: 6.457

8.  Determinants of change in children's sedentary time.

Authors:  Andrew J Atkin; Kirsten Corder; Ulf Ekelund; Katrien Wijndaele; Simon J Griffin; Esther M F van Sluijs
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

9.  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

10.  Family joint activities in a cross-national perspective.

Authors:  Apolinaras Zaborskis; Nida Zemaitiene; Ina Borup; Emmanuel Kuntsche; Carmen Moreno
Journal:  BMC Public Health       Date:  2007-05-30       Impact factor: 3.295

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