Literature DB >> 34903531

Structural equation model of physical activity in Turkish schoolchildren: an application of the integrated behavioural model.

Chloe Mirzayi1, Emily Ferris1, Hilal Ozcebe2, Ewelina Swierad1, Umut Arslan2, Hande Ünlü2, Ozgur Araz3,4, Mahmut Saadi Yardim2, Sarp Üner2, Nazmi Bilir2, Terry T Huang5,3.   

Abstract

OBJECTIVES: Childhood obesity is increasingly prevalent in the developing world including Turkey. This study examined constructs of the integrated behavioural model associated with physical activity in a sample of schoolchildren in Ankara, Turkey using structural equation modelling.
DESIGN: Cross-sectional survey by probability sampling.
SETTING: Fifteen schools of different socioeconomic strata in Ankara, Turkey with grade 4 students. PARTICIPANTS: 2066 (969 girls and 1097 boys) grade 4 schoolchildren and their parents selected using a probability-based sampling frame. PRIMARY OUTCOME MEASURES: Three primary outcomes were used: moderate-to-vigorous physical activity, team sport participation, sedentary behaviour.
RESULTS: Data were collected from 2066 fourth-grade children from schools of three socioeconomic strata. Missing data were imputed using multiple imputation. To examine the integrated behavioural model, a structural equation model containing latent constructs for physical activity outcome expectancies, self-efficacy, home environment and social norms were fitted with the three outcomes above. Adequate model fit was achieved in the structural equation model (χ2=1821.97, df=872, p<0.001, Comparative Fit Index=0.91, Tucker Lewis Index=0.91, root mean square error of approximation=0.02, standardised root mean square residual=0.04). All scale items were significantly associated with their respective latent constructs (all p<0.001). Several significant pathways between latent constructs and outcomes of interest were observed (p<0.05). Self-efficacy was positively associated with moderate-to-vigorous physical activity (p<0.001) and team sport participation (p<0.001) and negatively associated with sedentary behaviour (p<0.001). Negative outcome expectancies were negatively associated with moderate-to-vigorous physical activity (p<0.01) and sedentary behaviour (p<0.01) while positive outcome expectancies were positively associated with team sport behaviour (p<0.001) and negatively associated with sedentary behaviour (p<0.05). Home support was positively associated with moderate-to-vigorous physical activity (p<0.01) and team sport participation (p<0.05). Finally, physical activity social norms were negatively associated with sedentary behaviour only (p<0.05).
CONCLUSIONS: This study supported the extension to Turkish children of the integrated behavioural model in relation to physical activity behaviours. Results illustrate multiple targets for interventions to increase physical activity. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  community child health; public health; statistics & research methods

Mesh:

Year:  2021        PMID: 34903531      PMCID: PMC8671916          DOI: 10.1136/bmjopen-2020-046317

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   3.006


  26 in total

1.  Social cognitive determinants of physical activity in young adults: a prospective structural equation analysis.

Authors:  Liza S Rovniak; Eileen S Anderson; Richard A Winett; Robert S Stephens
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2.  Physical fitness in rural children compared with urban children in Turkey.

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3.  Physical activity across life stages and sleep quality in adulthood - an epidemiological study.

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4.  Understanding concussion reporting using a model based on the theory of planned behavior.

Authors:  Emily Kroshus; Christine M Baugh; Daniel H Daneshvar; Kasisomayajula Viswanath
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5.  Using the Integrative Behavioral Model to Predict Monitoring of Fruit and Vegetable Consumption Among Hispanic Mothers.

Authors:  Paul Branscum; Karina Lora
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Review 6.  Predicting adult obesity from childhood obesity: a systematic review and meta-analysis.

Authors:  M Simmonds; A Llewellyn; C G Owen; N Woolacott
Journal:  Obes Rev       Date:  2015-12-23       Impact factor: 9.213

7.  Measurement characteristics of activity-related psychosocial measures in 8- to 10-year-old African-American girls in the Girls Health Enrichment Multisite Study (GEMS).

Authors:  Nancy E Sherwood; Wendell C Taylor; Margarita Treuth; Lisa M Klesges; Tom Baranowski; Ainong Zhou; Charlotte Pratt; Barbara McClanahan; Thomas N Robinson; Leslie Pruitt; Wayne Miller
Journal:  Prev Med       Date:  2004-05       Impact factor: 4.018

8.  Prevalence of childhood obesity and related parental factors across socioeconomic strata in Ankara, Turkey.

Authors:  Mahmut S Yardim; L Hilal Özcebe; Ozgur M Araz; Sarp Uner; Sheng Li; Hande Konsuk Unlu; Umut Ece Arslan; Nazmi Bilir; Terry T Huang
Journal:  East Mediterr Health J       Date:  2019-08-19       Impact factor: 1.628

Review 9.  Scaling up physical activity interventions worldwide: stepping up to larger and smarter approaches to get people moving.

Authors:  Rodrigo S Reis; Deborah Salvo; David Ogilvie; Estelle V Lambert; Shifalika Goenka; Ross C Brownson
Journal:  Lancet       Date:  2016-07-28       Impact factor: 79.321

10.  Prevalence and correlates of obesity in schoolchildren from the city of Bursa, Turkey.

Authors:  Halil Sağlam; Ömer Tarım
Journal:  J Clin Res Pediatr Endocrinol       Date:  2008-11-04
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  1 in total

1.  The Current Health Belief of Exercise Conditions of Chinese College Students and Ways of Improvements: An Analysis Based on the Health Belief Model.

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Journal:  Front Psychol       Date:  2022-07-22
  1 in total

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