Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school - based health survey (PeNSE 2015)

There is a lack of evidence regarding clusters of health-related behaviors among adolescents from low, lower-middle, and upper-middle income countries. This study aimed to identify clustering patterns of health-related behaviors (diet, physical activity [PA] and sedentary behavior [SB]) and associat...

Full description

Saved in:
Bibliographic Details
Published in:BMC public health 2018-11, Vol.18 (1), p.1283-1283, Article 1283
Main Authors: Matias, Thiago Sousa, Silva, Kelly Samara, Silva, Jaqueline Aragoni da, Mello, Gabrielli Thais de, Salmon, Jo
Format: Article
Language:English
Subjects:
Adolescent
Adolescent Behavior
Adolescents
Analysis
Behavior
Brazil
Child health behavior
Cluster Analysis
Clustering
Cross-Sectional Studies
Diet
Diet - psychology
Exercise
Exercise - psychology
Female
Girls
Health aspects
Health Behavior
Health promotion
Health Surveys
Humans
Male
Obesity
Pediatric research
Physical activity
Physiological aspects
Population (statistical)
Regression analysis
Risk
Risk taking
Schools
Sedentary Behavior
Sedentary lifestyle
Socioeconomic Factors
Socioeconomics
Statistical analysis
Students - psychology
Students - statistics & numerical data
Studies
Teenagers
Youth
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:There is a lack of evidence regarding clusters of health-related behaviors among adolescents from low, lower-middle, and upper-middle income countries. This study aimed to identify clustering patterns of health-related behaviors (diet, physical activity [PA] and sedentary behavior [SB]) and association with sociodemographic variables among a population-based sample of Brazilian adolescents. Cross-sectional data from the 2015 National School-Based Health Survey (PeNSE). A total of 102,072 (females: 51.7%) students in ninth-grade (age: 14.3 ± 1.1 years-old) enrolled in public and private schools were investigated in this study. Healthy and unhealthy diet, PA and SB were measured using a validated questionnaire. Two-step cluster analysis was conducted to identify lifestyle patterns. The methodology for complex analysis and weighting was used to inferential statistical procedures. Multinomial logistic regression assessed associations between sociodemographic factors and the clusters. Three reliable and meaningful clusters were identified and labelled as follows: (1) health-promoting SB and diet (32.6%); (2) health-promoting PA and diet (44.9%), and (3) health-risk (22.5%). Compared to boys, girls were less likely to be in clusters 1 (OR = 0.85; 95% CI = 0.78-0.93, p 
ISSN:1471-2458
1471-2458
DOI:10.1186/s12889-018-6203-1