Department of Physical Education, Federal Rural University of Pernambuco, SN Dom Manoel de Medeiros St., Recife, PE, 50630-610, Brazil.
University of South Carolina, Columbia, SC, USA.
Int J Public Health. 2020 Jul;65(6):881-891. doi: 10.1007/s00038-020-01418-y. Epub 2020 Jul 6.
To identify patterns of non-dietary obesogenic behaviors, and social and environmental factors associated with overweight and obesity (OWOB).
A representative sample (n = 5520) of high school students (55.4% girls, 16.3 ± 1.0 years) from Pernambuco State, Brazil. Latent profile analyses were performed using self-reported daily sleep duration, television use, computer use, videogame use, seated time during the week and weekend days, physical activity, and active commuting to school during the week. Social and environmental factors and body mass index were included to identify classes. Multinomial analysis explored differences in social, environmental factors, and BMI by classes.
Five patterns were identified [Computer users (C1), Short sleepers (C2), Typical behaviors (C3), Techno-active-gamers (C4), and Lower screen engagement (C5)]. Three groups (C1, C3 and C4) included students from better social conditions and a more urbanized environments. The prevalence of OWOB was higher in C1 (34.5%; 95% CI 31.1-38.0) and in C2 (29.7%; 95% CI 26.1-33.5) compared to C5 (23.3% 95% CI 21.3-25.3).
In one of the poorest regions of Brazil, different groups of social/environmental factors and behavior patterns emerged associated with OWOB.
确定与超重和肥胖（OWOB）相关的非饮食致肥胖行为模式以及社会和环境因素。
对巴西伯南布哥州的代表性样本（n=5520）高中生（55.4%为女生，16.3±1.0 岁）进行研究。使用自我报告的每日睡眠时间、看电视时间、使用电脑时间、玩电子游戏时间、每周和周末的久坐时间、体育活动和每周上学的主动通勤情况进行潜在剖面分析。纳入社会和环境因素以及体重指数以确定类别。使用多项分析探讨不同类别之间社会、环境因素和 BMI 的差异。
确定了五种行为模式[计算机使用者（C1）、睡眠不足者（C2）、典型行为者（C3）、科技活跃游戏者（C4）和屏幕接触较少者（C5)]。三组（C1、C3 和 C4）的学生来自社会条件更好和城市化程度更高的环境。OWOB 在 C1（34.5%；95%CI 31.1-38.0）和 C2（29.7%；95%CI 26.1-33.5）中比 C5（23.3%；95%CI 21.3-25.3）更为常见。
在巴西最贫穷的地区之一，出现了与 OWOB 相关的不同社会/环境因素和行为模式群体。
