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

被引:48
|
作者
Matias, Thiago Sousa [1 ]
Silva, Kelly Samara [1 ]
da Silva, Jaqueline Aragoni [1 ]
de Mello, Gabrielli Thais [1 ]
Salmon, Jo [2 ]
机构
[1] Univ Fed Santa Catarina, Sch Sports, Dept Phys Educ, Florianopolis, SC, Brazil
[2] Deakin Univ, Sch Exercise & Nutr Sci, Melbourne, Vic, Australia
来源
BMC PUBLIC HEALTH | 2018年 / 18卷
关键词
Cluster analysis; Diet; Exercise; Sedentary lifestyle; Adolescent; LIFE-STYLE BEHAVIORS; AGED CHILDREN; ASSOCIATIONS; DETERMINANTS; PATTERNS; STUDENTS;
D O I
10.1186/s12889-018-6203-1
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: 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. Methods: 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: 14.31.1 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. Results: 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<0.001) and 2 (OR=0.43; 95% CI=0.40-0.46, p<0.001) than the health-risk cluster. Higher socioeconomic status was positively associated with health-promoting PA and diet, and negatively related to health-promoting SB and diet. Older adolescents were more likely to be in cluster 1 than in cluster 3, compared to younger adolescents. Conclusion: Approximately one-quarter of the population (health-risk cluster) reported engaging in multiple risk behaviors. Interventions may need to be tailored to specific adolescent groups, especially considering sociodemographic differences.
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页数:9
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