与美属太平洋地区儿童肥胖指标相关的饮食、活动和睡眠集群
Diet, Activity and Sleep Clusters Associated With Obesity Markers of Children in the US-Affiliated Pacific.
作者信息
Dumuid Dorothea, Yamanaka Ashley B, Chong Kar Hau, Okely Anthony D, Wilkens Lynne R, Shvetsov Yurii B, Lozano Chloe P, Novotny Rachel
机构信息
Alliance for Research in Exercise, Nutrition and Activity, Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, Australia.
College of Tropical Agriculture and Human Resilience, University of Hawaii at Manoa, Honolulu, Hawaii, USA.
出版信息
Acta Paediatr. 2025 Jul;114(7):1642-1652. doi: 10.1111/apa.70012. Epub 2025 Feb 24.
AIM
Among children in the US-Affiliated Pacific, we aimed to identify lifestyle clusters and associations with obesity.
METHODS
Movement behaviours, diet and anthropometrics were from the Children's Healthy Living Program (n = 1780; 2012-2015). Partitioning-around-medoids identified clusters; regression examined differences in anthropometrics.
RESULTS
Among 2-5-year-olds, boys' clusters were: (1) high %energy from (E%) fat and sedentary behaviour; (2) high screen time and energy intake and (3) long sleep. Body mass index z-score (zBMI) was lower in Cluster 3 versus 1 (-0.28 [-0.50; -0.07], p = 0.01). Girls' clusters were: (1) high energy intake; (2) low E% fat and (3) high physical activity and sleep. zBMI was lower in Cluster 3 versus 1 (-0.34 [-0.55; -0.13], p = 0.002). Among 6-8-year-olds, boys' clusters were: (1) high screen time; (2) high energy intake; (3) high E% protein; (4) long sleep and (5) high sedentary time and low E% saturated fat. Compared with Cluster 1, zBMI was lower in Clusters 3 (-0.43 [-0.84; -0.02], p = 0.04), 4 (-0.64 [-1.08; -0.20], p = 0.004) and 5 (-0.93 [-1.35; -0.51], p < 0.001). Girls' clusters were: (1) high E% fat and protein; (2) high screen time and energy intake; (3) short sleep and high physical activity (4) long sleep and (5) low sedentary time. Compared with Cluster 1, zBMI was lower in Clusters 2 (-0.57 [-0.98; -0.17], p = 0.006), 3 (-0.48 [-0.81; -0.14], p = 0.005) and 5 (-0.50 [-0.83; -0.18], p = 0.003).
CONCLUSION
Various lifestyle patterns support healthy body weight.
TRIAL REGISTRATION
ClinicalTrials.gov identifier: NCT01881373.
目的
在美国附属太平洋地区的儿童中，我们旨在确定生活方式集群及其与肥胖的关联。
方法
运动行为、饮食和人体测量数据来自儿童健康生活项目（n = 1780；2012 - 2015年）。围绕中心点划分法确定集群；回归分析检验人体测量指标的差异。
结果
在2至5岁儿童中，男孩的集群为：（1）脂肪能量百分比（E%）高且久坐不动；（2）屏幕使用时间长且能量摄入高；（3）睡眠时间长。与集群1相比，集群3的体重指数z评分（zBMI）较低（-0.28 [-0.50；-0.07]，p = 0.01）。女孩的集群为：（1）能量摄入高；（2）E%脂肪低；（3）身体活动和睡眠时间长。与集群1相比，集群3的zBMI较低（-0.34 [-0.55；-0.13]，p = 0.002）。在6至8岁儿童中，男孩的集群为：（1）屏幕使用时间长；（2）能量摄入高；（3）E%蛋白质高；（4）睡眠时间长；（5）久坐时间长且E%饱和脂肪低。与集群1相比，集群3（-0.43 [-0.84；-0.02]，p = 0.04）、集群4（-0.64 [-1.08；-0.20]，p = 0.004）和集群5（-0.93 [-1.35；-0.51]，p < 0.001）的zBMI较低。女孩的集群为：（1）E%脂肪和蛋白质高；（2）屏幕使用时间和能量摄入高；（3）睡眠时间短且身体活动高；（4）睡眠时间长；（5）久坐时间低。与集群1相比，集群2（-0.57 [-0.98；-0.17]，p = 0.006）、集群3（-0.48 [-0.81；-0.14]，p = 0.005）和集群5（-0.50 [-0.83；-0.18]，p = 0.003）的zBMI较低。
结论
多种生活方式模式有助于保持健康体重。
试验注册
ClinicalTrials.gov标识符：NCT01881373。
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