生活空间流动性与独居老年人孤独感的关系:运动传感器数据的纵向分析。

Kexin Yu, Chao-Yi Wu, Lisa L Barnes, Lisa C Silbert, Zachary Beattie, Raina Croff, Lyndsey Miller, Hiroko H Dodge, Jeffrey A Kaye
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摘要

背景:生活空间流动性可以作为孤独的行为指标。这项研究调查了用运动传感器测量的生活空间流动性与每周和每年报告的孤独感之间的关系。方法:参与者是独居的老年人。被动式红外运动传感器被放置在浴室、卧室、厨房和客厅。每天在每个房间和户外度过的时间被推导出来,并被用作衡量生活空间流动性的指标。参与者通过每周的问卷报告他们是否感到孤独。在每年的访问中,对一个子样本(n = 71)进行UCLA孤独量表的管理,并将得分分为高、中、低组。我们使用广义估计方程(GEE)来关联生活空间流动性与每周和每年的孤独感。对每个个体进行1000轮的重复观察,将年度和每周的孤独感测量联系起来。结果:我们分析了139名参与者4995周的数据(年龄= 78.1±8.6,74%为女性,23%为非洲裔美国人,14%为MCI诊断)。下午在卧室多呆一个小时,一周中感到孤独的几率增加21.4% (OR = 1.214, p = 0.049)。在上午和下午多出一个小时的时间,每周经历孤独的几率分别减少18.2% (OR = 0.818, p = 0.040)和15.3% (OR = 0.847, p = 0.018)。在每年进行孤独感评估的子样本中,多出一个小时的户外活动与38.1% (OR = 0.619, p = 0.006)的UCLA孤独感高组的几率降低相关。与UCLA分数低的一组相比,UCLA分数高的人每周报告孤独的可能性是后者的5倍(OR = 5.260, p = 0.0004)。结论:频繁和客观的流动性测量与自我报告的社会福利信息相结合,可以为孤独感的体验提供新的见解,并为及时干预提供机会。
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Life-Space Mobility Is Related to Loneliness Among Living-Alone Older Adults: Longitudinal Analysis With Motion Sensor Data.

Background: Life-space mobility can be a behavioral indicator of loneliness. This study examined the association between life-space mobility measured with motion sensors and weekly vs. annually reported loneliness.

Methods: Participants were older adults who lived alone. Passive infrared motion sensors were placed in the bathroom, bedroom, kitchen, and living room. Time spent in each room and out-of-home across the day was derived and used as the measure of life-space mobility. Participants reported via weekly questionnaires whether they felt lonely. In annual visits, the UCLA loneliness scale was administered to a subsample (n = 71), and the scores were categorized into high, moderate, and low groups. We used generalized estimating equations (GEE) to correlate life-space mobility with weekly and yearly loneliness. Repeated observations from each individual were bootstrapped for 1000 rounds to associate annual and weekly loneliness measures.

Results: We analyzed 4995 weeks of data from 139 participants (age = 78.1 ± 8.6, 74% female, 23% African Americans, 14% with MCI diagnosis). An additional hour in the bedroom in the afternoon was associated with a 21.4% increased odds (OR = 1.214, p = 0.049) of experiencing loneliness in the week. An additional hour out-of-home in the morning and in the afternoon was associated with 18.2% (OR = 0.818, p = 0.040) and 15.3% (OR = 0.847, p = 0.018) fewer odds of experiencing weekly loneliness. In the subsample with annual loneliness assessments, an additional hour out-of-home was associated with 38.1% (OR = 0.619, p = 0.006) fewer odds of being in the high UCLA loneliness group. Compared with the low UCLA group, those with high UCLA scores were five times more likely to report loneliness weekly (OR = 5.260, p = 0.0004).

Conclusions: Frequent and objective measurements of mobility combined with self-reported social wellbeing information can offer new insights into the experience of loneliness and provide opportunities for timely interventions.

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Application of an Electronic Frailty Index to Identify High-Risk Older Adults Using Electronic Health Record Data. Cancer and Accelerated Aging Research at the National Institutes of Health, 2013-2023: A Grant Portfolio Analysis. Home-Based Comprehensive Geriatric Assessment for Community-Dwelling, At-Risk, Frail Older Adults: A Systematic Review and Meta-Analysis. Individualized Net Benefit of Intensive Blood Pressure Lowering Among Community-Dwelling Older Adults in SPRINT. Inspiring Undergraduate Student Training in Alzheimer's Research (USTAR): Training the Next Generation of Aging Scientists.
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