Cochrane Thomas, Davey Rachel C, de Castella F Robert
Centre for Research and Action in Public Health, UC-Health Research Institute, University of Canberra, ACT 2601, Australia.
Centre for Research and Action in Public Health, UC-Health Research Institute, University of Canberra, ACT 2601, Australia.
Prev Med. 2015 Dec;81:433-7. doi: 10.1016/j.ypmed.2015.10.013. Epub 2015 Oct 30.
The study objectives were (1) to determine the variation in prevalence of overweight between school communities, (2) to evaluate the relationship between cardiorespiratory fitness and the probability of being overweight among different school communities, and (3) to test whether this relationship varies between school communities. Using a repeated cross-sectional design, data from 31,424 (15,298 girls, 16,126 boys) Australian school children who had objective assessments of body composition and physical performance were used. Ninety-one schools located across 5 states and territories were included. Independent samples were taken across 12 school years (2000-2011). Analysis used generalised linear mixed models in R with a two-level hierarchical structure-children, nested within school communities. Predictor variables considered were: level 1-gender, age, cardiorespiratory fitness and year of measurement; level 2-school community. A total of 24.6% of the children were overweight and 69% were of low fitness. Variation in the prevalence of overweight between school communities was significant, ranging from 19% to 34%. The probability of being overweight was negatively associated with increasing cardiorespiratory fitness. The relationship was steepest at low fitness and varied markedly between school communities. Children of low fitness had probabilities of being overweight ranging between 26% and 75% depending on school community, whereas those of high fitness had probabilities of <2%. Our findings suggest that most might be gained from a public health perspective by focusing intervention on the least fit children in the worst-performing communities.
(1)确定不同学校社区中超重患病率的差异;(2)评估心肺适能与不同学校社区中超重概率之间的关系;(3)检验这种关系在不同学校社区之间是否存在差异。采用重复横断面设计,使用了来自31424名(15298名女孩,16126名男孩)澳大利亚学童的数据,这些学童对身体成分和身体表现进行了客观评估。研究纳入了位于5个州和领地的91所学校。在12个学年(2000 - 2011年)中抽取了独立样本。分析使用R语言中的广义线性混合模型,采用两级层次结构——儿童嵌套在学校社区内。考虑的预测变量包括:一级变量——性别、年龄、心肺适能和测量年份;二级变量——学校社区。共有24.6%的儿童超重,69%的儿童心肺适能较低。学校社区之间超重患病率的差异显著,范围从19%到34%。超重概率与心肺适能的增加呈负相关。这种关系在低适能水平时最为陡峭,且在不同学校社区之间差异明显。根据学校社区的不同,低适能儿童超重的概率在26%至75%之间,而高适能儿童超重的概率小于2%。我们的研究结果表明,从公共卫生角度来看,将干预重点放在表现最差社区中适能最低的儿童身上可能会获得最大收益。