Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors.

Wearable Use in an Observational Study Among Older Adults: Adherence, Feasibility, and Effects of Clinicodemographic Factors.
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DOI:
10.3389/fdgth.2022.884208
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发表时间:
2022
影响因子:
--
通讯作者:
Casaletto, Kaitlin B.
Casaletto, Kaitlin B.
中科院分区:
其他
文献类型:
--
作者:
Paolillo, Emily W.;Lee, Shannon Y.;VandeBunte, Anna;Djukic, Nina;Fonseca, Corrina;Kramer, Joel H.;Casaletto, Kaitlin B.

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可穿戴设备在改善老年人身体活动干预的监测和提供方面具有巨大的潜力,对多系统健康和长寿具有下游益处;然而,从可穿戴设备中获得的益处取决于其吸收和使用。很少有研究检查与可穿戴设备依从性相关的个人特定因素。我们对使用可穿戴活动跟踪器30天的依从性进行了表征,并研究了社区居住老年人的依从性与人口统计学、认知功能、脑容量和技术熟悉度之间的关联。参与者是参加UCSF纵向脑老化研究的175名老年人,他们被要求在清醒时间佩戴Fitbit Flex 2 30天。其中62名参与者还被要求每天将他们的设备同步到Fitbit智能手机应用程序,以收集分钟级数据。我们计算了每天佩戴Fitbit的坚持率(即,具有有效活动数据的天数的比例)和对每日设备同步的遵守(即,具有分钟级活动数据的天数比例)。参与者还完成了大脑MRI和亲自认知测试,测量记忆,执行功能和处理速度。斯皮尔曼相关性、Wilcoxon秩和检验和逻辑回归检验了可穿戴设备依从性与临床人口统计学因素之间的关系。参与者平均在95%的研究日佩戴Fitbits,并且85%遵守每日同步协议。女性佩戴该器械的依从性更高。更高的每日设备同步依从性与更好的记忆力有关,与人口统计学因素无关。可穿戴设备的依从性与年龄、教育程度、执行功能、处理速度、大脑灰质体积或自我报告的技术熟悉程度无关。参与者报告说,使用可穿戴设备几乎没有困难,所有人都表示愿意在未来参加另一项可穿戴研究。在当前的研究方案中,老年人对可穿戴设备使用的总体依从性很高。然而,特定于个人的因素可能是老年人公平使用可穿戴设备进行体力活动的潜在障碍,包括人口统计和认知功能。未来的研究和临床提供者利用可穿戴活动跟踪器与老年人可能会受益于实施提醒(例如,短信、电话),尤其是在男性和记忆障碍者中。
Wearables have great potential to improve monitoring and delivery of physical activity interventions to older adults with downstream benefits to multisystem health and longevity; however, benefits obtained from wearables depend on their uptake and usage. Few studies have examined person-specific factors that relate to wearable adherence. We characterized adherence to using a wearable activity tracker for 30 days and examined associations between adherence and demographics, cognitive functioning, brain volumes, and technology familiarity among community-dwelling older adults. Participants were 175 older adults enrolled in the UCSF Longitudinal Brain Aging Study who were asked to wear a FitbitTM Flex 2 during waking hours for 30 days. Sixty two of these participants were also asked to sync their devices to the Fitbit smartphone app daily to collect minute-level data. We calculated adherence to wearing the Fitbit daily (i.e., proportion of days with valid activity data) and adherence to daily device syncing (i.e., proportion of days with minute-level activity data). Participants also completed a brain MRI and in-person cognitive testing measuring memory, executive functioning, and processing speed. Spearman correlations, Wilcoxon rank sum tests, and logistic regression tested relationships between wearable adherence and clinicodemographic factors. Participants wore the Fitbits for an average of 95% of study days and were 85% adherent to the daily syncing protocol. Greater adherence to wearing the device was related to female sex. Greater adherence to daily device syncing was related to better memory, independent of demographic factors. Wearable adherence was not significantly related to age, education, executive functioning, processing speed, brain gray matter volumes, or self-reported familiarity with technology. Participants reported little-to-no difficulty using the wearable and all reported willingness to participate in another wearable study in the future. Older adults have overall high adherence to wearable use in the current study protocol. Person-specific factors, however, may represent potential barriers to equitable uptake of wearables for physical activity among older adults, including demographics and cognitive functioning. Future studies and clinical providers utilizing wearable activity trackers with older adults may benefit from implementation of reminders (e.g., texts, calls) for device use, particularly among men and individuals with memory impairment.
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