School of Public Health, Department of Nutrition, University of Sao Paulo, Avenue Dr. Arnaldo 715, Cerqueira Cesar, Sao Paulo, SP 01246-904, Brazil.
School of Medicine, Department of Preventive Medicine, University of Sao Paulo, Avenue Dr. Arnaldo 455, Cerqueira Cesar, Sao Paulo, SP 01246-903, Brazil.
Appetite. 2018 Apr 1;123:402-409. doi: 10.1016/j.appet.2018.01.001. Epub 2018 Jan 31.
The present study aims to identify the dietary patterns of adolescents and associate these patterns with overweight. We analyzed food-consumption data from 6784 adolescents in the age group 10-18 years old collected in the Household Budget Survey 2008-2009. Dietary patterns were assessed through exploratory factor analysis. Logistic regression models were used in order to associate dietary patterns with overweight. Four dietary patterns were recorded: Traditional Brazilian Pattern, Snacks Pattern, Fast Food Pattern, and the Milk, Fruit and Cereal Breakfast Pattern. Results were adjusted according to the sociodemographic variables and showed that the higher the adherence to Snacks (OR: 1.50 fifth quintile vs first (95% CI: 1.13, 1.99) p linear trend <0.001) and Fast Food patterns (OR: 1.55 fifth quintile vs first (95% CI = 1.12, 2.12) p linear trend <0.001), the higher the chances of becoming overweight. These data indicate that the local public health and nutrition policies focused on adolescents should be more attentive to the eating habits of this population in Brazil, since the current research related regular poor nutritional quality dietary patterns to increased overweight among adolescents. In addition, understanding adolescents' eating habits according to their dietary patterns may guide the development of healthy dietary recommendations based on the combination between food and food groups, rather than only on nutrients or nutritional adequacy.
本研究旨在确定青少年的饮食模式,并将这些模式与超重联系起来。我们分析了 2008-2009 年家庭预算调查中 6784 名 10-18 岁青少年的食物消费数据。通过探索性因子分析评估饮食模式。使用逻辑回归模型将饮食模式与超重联系起来。记录了四种饮食模式:传统巴西模式、零食模式、快餐模式和牛奶、水果和谷物早餐模式。结果根据社会人口统计学变量进行了调整,结果表明,零食(OR:1.50 第五五分位数与第一分位数(95%CI:1.13,1.99)p 线性趋势 <0.001)和快餐模式(OR:1.55 第五五分位数与第一分位数(95%CI:1.12,2.12)p 线性趋势 <0.001)的摄入量越高,超重的可能性就越大。这些数据表明,巴西应更加关注当地公共卫生和营养政策,关注青少年的饮食习惯,因为目前的研究表明,定期不良营养质量的饮食模式与青少年超重有关。此外,根据青少年的饮食模式了解他们的饮食习惯,可能有助于根据食物和食物组的结合制定健康饮食建议,而不仅仅是营养素或营养充足性。