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评估老年人腕部和髋部的久坐行为和中高强度体力活动原始加速度切点。

Evaluation of wrist and hip sedentary behaviour and moderate-to-vigorous physical activity raw acceleration cutpoints in older adults.

机构信息

a Physical Activity and Health Research Group, Department of Sport and Physical Activity , Edge Hill University , Ormskirk , UK.

b Physical Activity Exchange , Research Institute for Sports and Exercise Sciences, Liverpool John Moores University , Liverpool , UK.

出版信息

J Sports Sci. 2019 Jun;37(11):1270-1279. doi: 10.1080/02640414.2018.1555904. Epub 2018 Dec 17.

DOI:10.1080/02640414.2018.1555904
PMID:30558487
Abstract

Wrist-based accelerometers are now common in assessing physical activity (PA) and sedentary behaviour (SB) in population-based studies, but there is a scarcity of raw acceleration cutpoints in older adults. The study aimed to determine and evaluate wrist-based GENEActiv (GA) and hip-based ActiGraph GT3X+ (AG) raw acceleration cutpoints for SB and moderate-to-vigorous PA (MVPA) in older adults ≥60 years of age. A laboratory-based calibration analyses of 34 healthy older adults involved receiver operator characteristic (ROC) curves to determine raw acceleration cutpoints for SB and MVPA. ROC analysis revealed an area under the curve (AUC) of 0.88 for GA SB and MVPA, and 0.90 for AG SB and 0.94 for AG MVPA. Sensitivity optimised SB and specificity optimised MVPA GA cutpoints of 57 mg and 104 mg, and AG cutpoints of 15 mg and 69 mg were also generated, respectively. Cross-validation analysis revealed moderate agreement for GA and AG SB cutpoints, and fair to substantial agreement for GA and AG MVPA cutpoints, respectively. The resultant cutpoints can classify older adults as engaging in SB or not engaging in MVPA but the sensitivity optimised SB cutpoints should be interpreted with a degree of caution due to their modest cross-validation results.

摘要

基于手腕的加速度计现在常用于评估基于人群的研究中的身体活动 (PA) 和久坐行为 (SB),但老年人的原始加速度切点稀缺。本研究旨在确定和评估基于手腕的 GENEActiv (GA) 和基于臀部的 ActiGraph GT3X+ (AG) 在年龄≥60 岁的老年人中用于 SB 和中等到剧烈 PA (MVPA) 的原始加速度切点。对 34 名健康老年人进行了基于实验室的校准分析,涉及接受者操作特征 (ROC) 曲线,以确定 SB 和 MVPA 的原始加速度切点。ROC 分析显示 GA SB 和 MVPA 的曲线下面积 (AUC) 为 0.88,AG SB 和 0.94 的 AUC 为 0.90,AG MVPA 的 AUC 为 0.94。还分别生成了 GA 优化 SB 和特异性优化 MVPA 的最佳切点为 57mg 和 104mg,AG 最佳切点为 15mg 和 69mg。交叉验证分析显示 GA 和 AG SB 切点具有中度一致性,GA 和 AG MVPA 切点具有良好到实质性一致性。由此产生的切点可以将老年人分类为是否从事 SB 或不从事 MVPA,但由于其交叉验证结果中等,因此应谨慎解释优化 SB 切点的敏感性。

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