Clustering of risk-related modifiable behaviours and their association with overweight and obesity among a large sample of youth in the COMPASS study

被引:48
作者
Laxer, Rachel E. [1 ]
Brownson, Ross C. [2 ,3 ]
Dubin, Joel A. [4 ]
Cooke, Martin [5 ]
Chaurasia, Ashok [1 ]
Leatherdale, Scott T. [1 ]
机构
[1] Univ Waterloo, Sch Publ Hlth & Hlth Syst, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
[2] Washington Univ, Brown Sch, Campus Box 1196One Brookings Dr, St Louis, MO 63130 USA
[3] Washington Univ, Sch Med, Campus Box 1196One Brookings Dr, St Louis, MO 63130 USA
[4] Univ Waterloo, Dept Stat & Actuarial Sci, Sch Publ Hlth & Hlth Syst, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
[5] Univ Waterloo, Dept Sociol & Legal Studies, Sch Publ Hlth & Hlth Syst, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
基金
加拿大健康研究院;
关键词
Obesity; Adolescent; Health promotion; Physical activity; Risk-taking; Latent class analysis; Diet; Behaviour patterns; PHYSICAL-ACTIVITY; PATTERNS; CHILDREN; ADOLESCENCE; COOCCURRENCE; POPULATION; CHILDHOOD; COUNCIL; HABITS; GENDER;
D O I
10.1186/s12889-017-4034-0
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Canadian youth exhibit a number of risky behaviours, some of which are associated with overweight and obesity. The purpose of this study was to examine the prevalence of 15 modifiable risk behaviours in a large sample of Canadian youth, to identify underlying subgroups based on patterns of health behaviours, and to examine the association between identified subgroups and overweight/obesity. Methods: Data from 18,587 grades 9-12 students in Year 1 (2012-13) of the COMPASS study and latent class analysis were used to identify patterns and clustering among 15 health behaviours (e.g., physical inactivity, sedentary behaviour, unhealthy eating, substance use). A logistic regression model examined the associations between these clusters and overweight/obesity status. Results: Four distinct classes were identified: traditional school athletes, inactive screenagers, health conscious, and moderately active substance users. Each behavioural cluster demonstrated a distinct pattern of behaviours, some with a greater number of risk factors than others. Traditional school athletes (odds ratio (OR) 1.15, 95% CI 1.03-1.29), inactive screenagers (OR 1.33; 1.19-1.48), and moderately active substance users (OR 1.27; 1.14-1.43) were all significantly more likely to be overweight/obese compared to the health conscious group. Conclusions: Four distinct subpopulations of youth were identified based on their patterns of health and risk behaviours. The three clusters demonstrating poorer health behaviour were all at an increased risk of being overweight/obese compared to their somewhat healthier peers. Obesity-related public health interventions and health promotion efforts might be more effective if consideration is given to population segments with certain behavioural patterns, targeting subgroups at greatest risk of overweight or obesity.
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页数:11
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