Clustering of risk factors for chronic diseases among adolescents from Southern Brazil

Abstract Objective To investigate the clustering of risk behaviors for chronic non-communicable diseases and their associated factors among adolescents from Southern Brazil. Methods In 2008, a survey was conducted with 3990 adolescents aged 14–15 years (mean: 14.3; SD: 0.6) from the 1993 Pelotas Bir...

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Bibliographic Details
Published in:Preventive medicine 2012-06, Vol.54 (6), p.393-396
Main Authors: Dumith, Samuel C, Muniz, Ludmila C, Tassitano, Rafael M, Hallal, Pedro C, Menezes, Ana M.B
Format: Article
Language:English
Subjects:
Adolescent
Adolescents
Alcohol
Alcohol Drinking - adverse effects
Alcohol Drinking - epidemiology
Alcohol Drinking - psychology
Brazil
Brazil - epidemiology
Chronic disease
Cluster Analysis
Clustering
Cohort Studies
Diet Surveys
Exercise - physiology
Exercise - psychology
Feeding Behavior - ethnology
Feeding Behavior - psychology
Female
Follow-Up Studies
Fruit
Fruits
Health Behavior - ethnology
Health Surveys
Humans
Internal Medicine
Male
Mothers - education
Physical activity
Poisson Distribution
Prevalence
Risk behaviour
Risk Factors
Risk Reduction Behavior
Risk-Taking
Smoking
Smoking - adverse effects
Smoking - epidemiology
Smoking - psychology
Social Class
Socioeconomics
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Summary:Abstract Objective To investigate the clustering of risk behaviors for chronic non-communicable diseases and their associated factors among adolescents from Southern Brazil. Methods In 2008, a survey was conducted with 3990 adolescents aged 14–15 years (mean: 14.3; SD: 0.6) from the 1993 Pelotas Birth Cohort Study. Clustering was determined by comparing observed (O) and expected (E) prevalence of all possible combinations of the four risk factors investigated (smoking, alcohol intake, low fruit intake, and physical inactivity). We carried out Poisson regression to evaluate the effect of individual characteristics on the presence of at least three risk behaviors. Results All risk factors tended to cluster together (O/E prevalence = 3.0), especially smoking and alcohol intake (odds ratio to present on behavior in the presence of other > 5.0). Approximately 15% of adolescents displayed three or more risk behaviors. Females (adjusted OR = 1.55), people 15 years and older (OR = 1.47), with black skin color (OR = 1.23), and of low socioeconomic level (OR = 1.29) were more likely to display three or more risk factors. Conclusion These findings suggest that lifestyle-related risk factors tend to cluster among adolescents. Identifying subgroups at greater risk of simultaneously engaging in multiple risk behaviors may aid in the planning of preventive strategies.
ISSN:0091-7435
1096-0260
DOI:10.1016/j.ypmed.2012.03.014