Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults
Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults
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DOI：
10.1007/s40279-019-01153-2
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发表时间：
2020-01-01
期刊：
影响因子：
9.8
通讯作者：
Donnelly, Alan E.
中科院分区：
文献类型：
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作者：
Powell, Cormac;Browne, Leonard D.;Donnelly, Alan E.
背景：在一天中进行的所有体力活动(PA)行为，包括睡眠、久坐时间、站立时间、轻度PA(LIPA)和中度至剧烈PA(MVPA)都有可能影响心脏代谢健康。由于这些行为是相互排斥的，标准的统计方法无法解释其他行为对时间的影响。目的通过使用成分数据分析(CODA)方法，研究客观测量的睡眠时间、久坐时间、站立时间、24小时内LIPA和MVPA与老年人心脏代谢健康标记物的关系。方法来自Mitchelstown队列筛查研究的参与者(n=366；64.6岁[5.3]；46%女性)提供了身体成分、血脂和血糖控制标记物的测量方法。使用Active PAL3Micro使用7天连续佩戴方案，获得睡眠、久坐时间、站立时间、LIPA和MVPA的客观测量。结果站立时间和LIPA与身体成分指标之间存在着不同的相关性。体重指数(BMI)、体质量、脂肪质量与LIPA呈负相关(P
Background All physical activity (PA) behaviours undertaken over the day, including sleep, sedentary time, standing time, light-intensity PA (LIPA) and moderate-to-vigorous PA (MVPA) have the potential to influence cardiometabolic health. Since these behaviours are mutually exclusive, standard statistical approaches are unable to account for the impact on time spent in other behaviours.Objective By employing a compositional data analysis (CoDA) approach, this study examined the associations of objectively measured time spent in sleep, sedentary time, standing time, LIPA and MVPA over a 24-h day on markers of cardiometabolic health in older adults.Methods Participants (n = 366; 64.6 years [5.3]; 46% female) from the Mitchelstown Cohort Rescreen Study provided measures of body composition, blood lipid and markers of glucose control. An activPAL3 Micro was used to obtain objective measures of sleep, sedentary time, standing time, LIPA and MVPA, using a 7-day continuous wear protocol. Regression analysis, using geometric means derived from CoDA (based on isometric log-ratio transformed data), was used to examine the relationship between the aforementioned behaviours and markers of cardiometabolic health.Results Standing time and LIPA showed diverging associations with markers of body composition. Body mass index (BMI), body mass and fat mass were negatively associated with LIPA (all p