Santos Carla, Bustamante Alcibíades, Hedeker Donald, Vasconcelos Olga, Garganta Rui, Katzmarzyk Peter T, Maia José
CIFI D, Faculty of Sport, University of Porto, Porto, Portugal.
Faculty of Physical Culture and Sports, National University of Education Enrique Guzmán y Valle, Lima, Peru.
J Obes. 2019 Aug 1;2019:2631713. doi: 10.1155/2019/2631713. eCollection 2019.
Overweight prevalence in children and adolescents shows great variability which is related to individual-level and environmental-level factors. The present study aimed to determine the prevalence of and factors associated with overweight in Peruvian children and adolescents living at different altitudes.
8568 subjects, aged 6-16 y, from the sea level, Amazon, and high-altitude regions were sampled. Overweight was identified using BMI; biological maturation and physical fitness were measured; school characteristics were assessed via an objective audit.
Overweight prevalence decreased with age (28.3% at 6 y to 13.9% at 16 y); it was higher in girls (21.7%) than boys (19.8%) and was higher at the sea level (41.3%), compared with Amazon (18.8%) and high-altitude (6.3%) regions. Approximately 79% of the variance in overweight was explained by child-level characteristics. In Model 1, all child-level predictors were significant ( < 0.001); in Model 2, six out of nine added school-level predictors (number of students, existence of policies and practices for physical activity, multisports-roofed, duration of Physical Education classes, and extracurricular activities) were significant ( < 0.001); in Model 3, subjects living at high altitudes were less likely to be overweight than those living at the sea level.
Child- and school-level variables played important roles in explaining overweight variation. This information should be taken into account when designing more efficient strategies to combat the overweight and obesity epidemic.
儿童和青少年超重患病率差异很大,这与个体层面和环境层面的因素有关。本研究旨在确定生活在不同海拔高度的秘鲁儿童和青少年超重的患病率及相关因素。
对来自海平面、亚马逊地区和高海拔地区的8568名6至16岁的受试者进行抽样。使用体重指数(BMI)确定超重情况;测量生物成熟度和身体素质;通过客观审计评估学校特征。
超重患病率随年龄下降(6岁时为28.3%,16岁时为13.9%);女孩(21.7%)高于男孩(19.8%),且海平面地区(41.3%)高于亚马逊地区(18.8%)和高海拔地区(6.3%)。超重差异中约79%可由儿童层面的特征解释。在模型1中,所有儿童层面的预测因素均具有显著性(<0.001);在模型2中,九个新增的学校层面预测因素中有六个(学生人数、体育活动政策和实践的存在情况、有多个运动项目的屋顶、体育课时长和课外活动)具有显著性(<0.001);在模型3中,生活在高海拔地区的受试者超重的可能性低于生活在海平面地区的受试者。
儿童和学校层面的变量在解释超重差异方面发挥了重要作用。在设计更有效的策略来应对超重和肥胖流行时,应考虑这些信息。