Graduate Program in Nursing, School of Nursing, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
Nutrition Department, School of Nursing, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
Int J Public Health. 2018 May;63(4):481-490. doi: 10.1007/s00038-017-1053-7. Epub 2017 Nov 15.
This study aims to identify and analyze clusters formed by risk and protective factors for obesity among Brazilian adolescents.
Cross-sectional data collected in a national representative sample of adolescents by the Brazilian National School Health Survey of 2012 were used (n = 109,104). Cluster analysis was applied to identify clusters involving dietary intake, eating behavior, physical activity and sedentary behaviors. Logistic regression was employed to contextualize the clusters according to students' sociodemographics and schools' characteristics.
Two clusters were identified. Cluster 1 was predominantly characterized by the low frequency of both risk and protective factors for obesity; Cluster 2 was characterized by high frequency of both of these factors. None was essentially healthy or unhealthy. Adolescents from less developed regions and with mothers with lower education level were associated to Cluster 1.
The identification of two mixed clusters indicate wide spread obesity risk among scholars in the country. The association between the clusters and sociodemographic characteristics of the population allows a greater refinement of health promotion and obesity prevention and combat actions in Brazil.
本研究旨在识别和分析巴西青少年肥胖相关风险和保护因素的聚类。
本研究使用了 2012 年巴西全国学校卫生调查的全国代表性青少年横断面数据(n=109104)。采用聚类分析识别涉及饮食摄入、饮食行为、身体活动和久坐行为的聚类。采用逻辑回归根据学生的社会人口统计学特征和学校特征对聚类进行背景分析。
确定了两个聚类。聚类 1 主要以肥胖相关风险和保护因素的低频率为特征;聚类 2 则以这两个因素的高频率为特征。没有一个是本质上健康或不健康的。来自欠发达地区和母亲受教育程度较低的青少年与聚类 1 相关。
两个混合聚类的识别表明,该国学者肥胖风险广泛存在。聚类与人群的社会人口学特征之间的关联,使巴西在促进健康和预防肥胖方面的行动能够得到进一步的细化。