Swansea University.
Liverpool John Moores University.
Pediatr Exerc Sci. 2021 Mar 25;33(1):40-47. doi: 10.1123/pes.2020-0010.
To examine (1) associations between body fat percent (BF) and lifestyle behaviors in children aged 9-11 years and (2) the consistency of these associations over a 10-year period.
In this repeat, cross-sectional study, 15,977 children aged 9-11 years completed an anthropometric assessment and the SportsLinx Lifestyle survey between 2004 and 2013. Body fat was estimated according to the sum of the triceps and subscapular skinfold measurements. Multilevel models were utilized to examine associations between BF and responses to the lifestyle survey while controlling for known covariates.
Lifestyle behaviors explained 8.6% of the total variance in body fat. Specifically, negative associations were found between BF and active transport to school ( β = -0.99 [0.19], P < .001), full-fat milk (-0.07 [0.15], P < .001), and sweetened beverage consumption (-0.40 [0.15], P = .007). Relative to the reference group of ≤8:00 PM, later bedtime was positively associated with BF: 8:00 to 8:59 PM ( β = 1.60 [0.26], P < .001); 9:00 to 10:00 PM ( β = 1.04 [0.24], P < .001); ≥10:00 PM ( β = 1.18 [0.30], P < .001). Two-way interactions revealed opposing associations between BF and the consumption of low-calorie beverages for boys ( β = 0.95 [0.25], P < .001) and girls ( β = -0.85 [0.37], P = .021). There was no significant change in these associations over a 10-year period.
In this population-level study covering a decade of data collection, lifestyle behaviors were associated with BF. Policies and interventions targeting population-level behavior change, such as active transport to school, sleep time, and consumption of full-fat milk, may offer an opportunity for improvements in BF.
(1)研究 9-11 岁儿童体脂肪百分比(BF)与生活方式行为之间的关系;(2)探讨这些关系在 10 年内的一致性。
在这项重复的横断面研究中,15977 名 9-11 岁儿童在 2004 年至 2013 年间完成了人体测量评估和 SportsLinx 生活方式调查。体脂肪按肱三头肌和肩胛下角皮褶测量值的总和来估算。多水平模型用于检查 BF 与生活方式调查应答之间的关联,同时控制已知的协变量。
生活方式行为解释了体脂肪总方差的 8.6%。具体而言,BF 与上学的主动交通(β=-0.99[0.19],P<0.001)、全脂牛奶(β=-0.07[0.15],P<0.001)和含糖饮料摄入(β=-0.40[0.15],P=0.007)呈负相关。与≤8:00 PM 的参考组相比,晚睡时间与 BF 呈正相关:8:00 至 8:59 PM(β=1.60[0.26],P<0.001);9:00 至 10:00 PM(β=1.04[0.24],P<0.001);≥10:00 PM(β=1.18[0.30],P<0.001)。双向交互作用显示,BF 与男孩(β=0.95[0.25],P<0.001)和女孩(β=-0.85[0.37],P=0.021)低热量饮料摄入之间存在相反的关联。在 10 年内,这些关联没有明显变化。
在这项为期 10 年的数据收集的人群水平研究中,生活方式行为与 BF 有关。针对人群行为改变的政策和干预措施,如上学的主动交通、睡眠时间和全脂牛奶的摄入,可能为改善 BF 提供机会。