Dumuid Dorothea, Olds T, Lewis L K, Martin-Fernández J A, Barreira T, Broyles S, Chaput J-P, Fogelholm M, Hu G, Kuriyan R, Kurpad A, Lambert E V, Maia J, Matsudo V, Onywera V O, Sarmiento O L, Standage M, Tremblay M S, Tudor-Locke C, Zhao P, Katzmarzyk P, Gillison F, Maher C
School of Health Sciences, University of South Australia, Adelaide, Australia.
School of Health Sciences, Flinders University, Adelaide, Australia.
Pediatr Obes. 2018 Feb;13(2):111-119. doi: 10.1111/ijpo.12196. Epub 2016 Dec 27.
The relationship between children's adiposity and lifestyle behaviour patterns is an area of growing interest.
The objectives of this study are to identify clusters of children based on lifestyle behaviours and compare children's adiposity among clusters.
Cross-sectional data from the International Study of Childhood Obesity, Lifestyle and the Environment were used.
the participants were children (9-11 years) from 12 nations (n = 5710).
24-h accelerometry and self-reported diet and screen time were clustering input variables. Objectively measured adiposity indicators were waist-to-height ratio, percent body fat and body mass index z-scores.
sex-stratified analyses were performed on the global sample and repeated on a site-wise basis. Cluster analysis (using isometric log ratios for compositional data) was used to identify common lifestyle behaviour patterns. Site representation and adiposity were compared across clusters using linear models.
Four clusters emerged: (1) Junk Food Screenies, (2) Actives, (3) Sitters and (4) All-Rounders. Countries were represented differently among clusters. Chinese children were over-represented in Sitters and Colombian children in Actives. Adiposity varied across clusters, being highest in Sitters and lowest in Actives.
Children from different sites clustered into groups of similar lifestyle behaviours. Cluster membership was linked with differing adiposity. Findings support the implementation of activity interventions in all countries, targeting both physical activity and sedentary time.
儿童肥胖与生活方式行为模式之间的关系是一个日益受到关注的领域。
本研究的目的是根据生活方式行为对儿童进行聚类,并比较各聚类间儿童的肥胖情况。
使用来自儿童肥胖、生活方式与环境国际研究的横断面数据。
参与者为来自12个国家的9至11岁儿童(n = 5710)。
24小时加速度计测量以及自我报告的饮食和屏幕使用时间为聚类输入变量。客观测量的肥胖指标为腰高比、体脂百分比和体重指数z评分。
对全球样本进行按性别分层分析,并在各研究地点重复进行。采用聚类分析(使用成分数据的等距对数比)来识别常见的生活方式行为模式。使用线性模型比较各聚类间的研究地点代表性和肥胖情况。
出现了四个聚类:(1)垃圾食品屏幕族,(2)活跃族,(3)久坐族,(4)全能族。不同聚类中各国的代表性不同。中国儿童在久坐族中占比过高,哥伦比亚儿童在活跃族中占比过高。各聚类间肥胖情况不同,久坐族中最高,活跃族中最低。
来自不同地点的儿童聚集成生活方式行为相似的群体。聚类成员与不同的肥胖情况相关。研究结果支持在所有国家实施针对身体活动和久坐时间的活动干预措施。