Literature DB >> 21680762

Description and evaluation of a social cognitive model of physical activity behaviour tailored for adolescent girls.

D R Lubans1, A D Okely, P J Morgan, W Cotton, L Puglisi, J Miller.   

Abstract

The aim of this paper was to describe and test a social cognitive model of physical activity tailored for adolescent girls. Participants were 1518 girls (aged 13.6 ± 0.02 years) from 24 secondary schools in New South Wales, Australia. Useable accelerometer (≥10 hours day(-1) on at least 3 days) and questionnaire data were obtained from 68% of this sample (N = 1035). Participants completed questionnaires assessing psychological, behavioural, social and environmental correlates of activity. The theoretical model was tested using structural equation modelling in AMOS. The model explaining accelerometer counts per minute was an adequate-to-good fit to the data (Tucker-Lewis Index = 0.89, the comparative fit index = 0.97 and the root mean square of approximation = 0.098; 90% confidence interval = 0.075-0.122) but explained only 5% of the variance in activity. There were significant model pathways from self-efficacy (r = 0.11, P = 0.01), school environment (r = 0.07, P = 0.02) and physical self-worth (r = 0.07, P = 0.04) to accelerometer counts. Although the proposed model provided an adequate-to-good fit to the data, it explained a small portion of the variance. Shared method variance may explain the larger portions of variance explained in previous studies. Future studies are encouraged to evaluate theories of physical activity behaviour change using objective measures of physical activity.

Entities:  

Mesh:

Year:  2011        PMID: 21680762     DOI: 10.1093/her/cyr039

Source DB:  PubMed          Journal:  Health Educ Res        ISSN: 0268-1153


  10 in total

1.  Social and Psychological Factors Associated With Adolescent Physical Activity.

Authors:  Jeanette M Garcia; John R Sirard; Ross Larsen; Meg Bruening; Melanie Wall; Dianne Neumark-Sztainer
Journal:  J Phys Act Health       Date:  2016-08-15

2.  Predicting physical activity among urban adolescent girls: A test of the health promotion model.

Authors:  Vicki R Voskuil; Lorraine B Robbins; Steven J Pierce
Journal:  Res Nurs Health       Date:  2019-06-26       Impact factor: 2.228

3.  School related factors and 1yr change in physical activity amongst 9-11 year old English schoolchildren.

Authors:  Joyce A Mantjes; Andrew P Jones; Kirsten Corder; Natalia R Jones; Flo Harrison; Simon J Griffin; Esther M F van Sluijs
Journal:  Int J Behav Nutr Phys Act       Date:  2012-12-31       Impact factor: 6.457

Review 4.  The school environment and adolescent physical activity and sedentary behaviour: a mixed-studies systematic review.

Authors:  K L Morton; A J Atkin; K Corder; M Suhrcke; E M F van Sluijs
Journal:  Obes Rev       Date:  2015-12-18       Impact factor: 9.213

5.  Individual and School Correlates of Adolescent Leisure Time Physical Activity in Quebec, Canada.

Authors:  José Massougbodji; Alexandre Lebel; Philippe De Wals
Journal:  Int J Environ Res Public Health       Date:  2018-02-27       Impact factor: 3.390

6.  Applying Social Cognitive Theory in Predicting Physical Activity Among Chinese Adolescents: A Cross-Sectional Study With Multigroup Structural Equation Model.

Authors:  Jianxiu Liu; Muchuan Zeng; Dizhi Wang; Yao Zhang; Borui Shang; Xindong Ma
Journal:  Front Psychol       Date:  2022-03-15

7.  Anxiety Status of Female Chinese Ph.D. Candidates and Its Association with Sports.

Authors:  Yupeng Mao; Yongsheng Zhu; Changjun Jia; Fengxin Sun; Song Chen; Bing Liu
Journal:  Healthcare (Basel)       Date:  2022-06-27

8.  Increasing specificity of correlate research: exploring correlates of children's lunchtime and after-school physical activity.

Authors:  Rebecca M Stanley; Kate Ridley; Timothy S Olds; James Dollman
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

9.  Linking secondary school physical education with community sport and recreation for girls: a process evaluation.

Authors:  Meghan M Casey; Amanda Telford; Amanda Mooney; Jack T Harvey; Rochelle M Eime; Warren R Payne
Journal:  BMC Public Health       Date:  2014-10-06       Impact factor: 3.295

10.  Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children.

Authors:  Minako Kawabata; Taro Ueno; Jun Tomita; Junko Kawatani; Akemi Tomoda; Shoen Kume; Kazuhiko Kume
Journal:  BMC Psychiatry       Date:  2013-11-04       Impact factor: 3.630

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.