Feasibility of Measuring Sedentary Time Using Data From a Thigh-Worn Accelerometer The 1970 British Cohort Study
Feasibility of Measuring Sedentary Time Using Data From a Thigh-Worn Accelerometer The 1970 British Cohort Study
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DOI：
10.1093/aje/kwaa047
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发表时间：
2020-09-01
影响因子：
5
通讯作者：
Sullivan, Alice
中科院分区：
文献类型：
--
作者：
Hamer, Mark;Stamatakis, Emmanuel;Sullivan, Alice
在大规模的队列研究中，久坐行为通常使用自我报告或应用基于计数的阈值的设备来测量。我们采用了黄金标准的姿势分配技术，大腿倾斜和加速度捕捉自由生活的久坐行为。来自1970年英国队列研究（英国）的年龄为46.8（标准差（SD），0.7）岁（n = 5，346）的参与者配备有防水的大腿安装的加速度计装置（activPAL 3 micro; PAL Technologies Ltd.，格拉斯哥，英国）连续佩戴超过7天;数据收集于2016-2018年。从83.0%的设备中检索到可用数据，其中79.6%的样本记录了至少6整天的佩戴（至少10个清醒小时）。男性和女性的每日总坐姿时间（男性平均为9.5（SD，2.0）小时/天，女性平均为9.0（SD，2.0）小时/天）分别占清醒时间的59.4%和57.3%; 73.8%的样本参与者记录了>= 8小时/天的坐姿。连续60分钟或以上的长时间静坐分别占男性和女性每日静坐总量的25.3%和24.4%。在相互调整的模型中，男性，体重不足，肥胖，教育，自我评价健康状况差，看电视时间，以及久坐不动的职业与较高的设备测量的坐着时间相关。大腿磨损加速度测量法是可行的，应考虑用于更大规模的国家调查。
In large-scale cohort studies, sedentary behavior has been routinely measured using self-reports or devices that apply a count-based threshold. We employed a gold standard postural allocation technique using thigh inclination and acceleration to capture free-living sedentary behavior. Participants aged 46.8 (standard deviation (SD), 0.7) years (n = 5,346) from the 1970 British Cohort Study (United Kingdom) were fitted with a waterproofed thigh-mounted accelerometer device (activPAL3 micro; PAL Technologies Ltd., Glasgow, United Kingdom) worn continuously over 7 days; data were collected in 2016-2018. Usable data were retrieved from 83.0% of the devices fitted, with 79.6% of the sample recording at least 6 full days of wear (at least 10 waking hours). Total daily sitting time (average times were 9.5 (SD, 2.0) hours/day for men and 9.0 (SD, 2.0) hours/day for women) accounted for 59.4% and 57.3% of waking hours in men and women, respectively; 73.8% of sample participants recorded >= 8 hours/day of sitting. Sitting in prolonged bouts of 60 continuous minutes or more accounted for 25.3% and 24.4% of total daily sitting in men and women, respectively. In mutually adjusted models, male sex, underweight, obesity, education, poor self-rated health, television-viewing time, and having a sedentary occupation were associated with higher device-measured sitting times. Thigh-worn accelerometry was feasibly deployed and should be considered for larger-scale national surveys.