Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses
Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses
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DOI：
10.1139/apnm-2016-0026
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发表时间：
2016-06-01
影响因子：
3.4
通讯作者：
Chastin, Sebastien F. M.
中科院分区：
文献类型：
--
作者：
Carson, Valerie;Tremblay, Mark S.;Chastin, Sebastien F. M.
这项研究的目的是通过成分分析，在具有代表性的儿童和青少年样本中检查运动行为(睡眠时间、久坐时间、体力活动)与健康指标之间的关系。横断面研究结果基于加拿大健康措施调查第1至第3周期的4169名儿童和青年(6-17岁)。静坐时间(SB)、光强度体力活动(LPA)和中等强度至剧烈体力活动(MVPA)由加速度计得出。主观测量睡眠时间。在整个样本中测量了体重指数z分数、腰围、血压、行为强度和难度以及有氧适应能力。在空腹样本中测量甘油三酯、高密度脂蛋白胆固醇、C反应蛋白和胰岛素。通过等距对数比变换将运动行为的组成输入线性回归模型，并发现其与所有健康指标相关(p<；0.01)。相对于其他运动行为，花在SB或LPA上的时间与肥胖风险指标呈正相关(p<；0.04)，花在MVPA或睡眠上的时间与肥胖风险标记物负相关(p<；0.02)。同样，LPA与不良的行为强度和困难分数以及收缩压呈正相关(p<；0.005)，睡眠与不良行为强度和困难分数以及收缩压呈负相关(p<；0.03)。相对于其他运动行为，花在SB上的时间与有氧健身呈负相关(p<；0.001)，而花在MVPA上的时间(p<；0.001)与有氧适应呈正相关。同样，MVPA也与几个心脏代谢风险标记物呈负相关(p<；0.008)。成分数据分析为24小时运动行为对集体健康的影响提供了新的见解，并可以为未来的研究提供有趣的途径。
The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6-17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate-to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p < 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p < 0.04) and time spent in MVPA or sleep was negatively associated (p < 0.02) with obesity risk markers. Similarly, LPA was positively associated (p < 0.005) and sleep was negatively associated (p < 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p < 0.001) and time spent in MVPA (p < 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations.