Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health.
Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health.
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来自老年人臀部和大腿佩戴加速度计的久坐行为指标的一致性：对研究身体和认知健康的影响。
DOI：
10.1123/jmpb.2020-0036
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
Natarajan L
中科院分区：
文献类型：
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作者：
Bellettiere J;Tuz-Zahra F;Carlson JA;Ridgers ND;Liles S;Greenwood-Hickman MA;Walker RL;LaCroix AZ;Jankowska MM;Rosenberg DE;Natarajan L
对于老年人的久坐行为（SB）指标，从臀部和大腿上佩戴的加速度计中得出的结果是如何一致的，我们知之甚少。大腿佩戴的activPAL微型监测器与臀部佩戴的ActiGraph GT3X+加速度计同时佩戴(以每分钟100计数（cpm）的切割点测量SB；ActiGraph100cpm)对953名老年人（年龄77±6.6岁，54%为女性）进行4- 7天的观察。使用平均误差和相关性评估久坐时间和5个SB模式指标的设备一致性。使用标准化（即z分数）和非标准化SB指标，Logistic回归检验了与4种健康结局的关联。平均误差（activPAL-ActiGraph100cpm）和95%一致限为：久坐时间- 54.7(- 223.4,113.9)min/d；30分钟以上回合时间77.6(−74.8230.1)min/d；平均发作时间5.9(0.5,11.4)min；通常发作时间15.2（0.4,30）分钟；久坐时间的休息时间−35.4（−63.1,−7.6）次/d；α - 0.5（- 0.6, - 0.4）。Pearson相关系数分别为：0.66、0.78、0.73、0.79、0.51、0.40。一致性相关分别为：0.57、0.67、0.40、0.50、0.14、0.02。48项测试中的46项中，ActiGraph100cpm和activPAL指标的统计学意义和关联方向是相同的，尽管在24项非标准化测试中的9项和24项标准化SB指标中的2项中，比值比的大小存在显著差异。当从ActiGraph100cpm中解释SB指标和与健康的关联时，需要谨慎，因为相对于activPAL，它倾向于高估久坐时间的休息时间。然而，activPAL和ActiGraph100cpm测量之间的高度相关性以及与健康结果的类似标准化关联表明，使用ActiGraph100cpm的研究对于研究老年人的SB是有用的，尽管不是理想的。
Little is known about how sedentary behaviour (SB) metrics derived from hip-worn and thigh-worn accelerometers agree for older adults. Thigh-worn activPAL micro monitors were concurrently worn with hip-worn ActiGraph GT3X+ accelerometers (with SB measured using the 100 count-per-minute (cpm) cut-point; ActiGraph100cpm) by 953 older adults (age 77±6.6, 54% women) for 4-to-7 days. Device agreement for sedentary time and 5 SB pattern metrics was assessed using mean error and correlations. Logistic regression tested associations with 4 health outcomes using standardized (i.e., z-scores) and unstandardized SB metrics. Mean errors (activPAL-ActiGraph100cpm) and 95% limits of agreement were: sedentary time −54.7(−223.4,113.9) min/d; time in 30+ minute bouts 77.6(−74.8,230.1) min/d; mean bout duration 5.9(0.5,11.4) min; usual bout duration 15.2(0.4,30) min; breaks in sedentary time −35.4(−63.1,−7.6) breaks/d; and alpha −0.5(−0.6,−0.4). Respective Pearson correlations were: 0.66, 0.78, 0.73, 0.79, 0.51, 0.40. Concordance correlations were: 0.57, 0.67, 0.40, 0.50, 0.14, 0.02. The statistical significance and direction of associations was identical for ActiGraph100cpm and activPAL metrics in 46 of 48 tests, though significant differences in the magnitude of odds ratios were observed among 9 of 24 tests for unstandardized and 2 of 24 for standardized SB metrics. Caution is needed when interpreting SB metrics and associations with health from ActiGraph100cpm due to the tendency for it to overestimate breaks in sedentary time relative to activPAL. However, high correlations between activPAL and ActiGraph100cpm measures and similar standardized associations with health outcomes suggest that studies using ActiGraph100cpm are useful, though not ideal, for studying SB in older adults.