Smartphone assessment uncovers real-time relationships between depressed mood and daily functional behaviors after stroke.

IF 3.5 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Telemedicine and Telecare Pub Date : 2024-06-01 Epub Date: 2022-05-13 DOI:10.1177/1357633X221100061
Quoc Bui, Katherine J Kaufman, Elizabeth Gs Munsell, Eric J Lenze, Jin-Moo Lee, David C Mohr, Mandy Wm Fong, Christopher L Metts, Stephanie E Tomazin, Vy Pham, Alex Wk Wong
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Abstract

Introduction: The impact of depressed mood in daily life is difficult to investigate using traditional retrospective assessments, given daily or even within-day mood fluctuations in various contexts. This study aimed to use a smartphone-based ambulatory assessment to examine real-time relationships between depressed mood and functional behaviors among individuals with stroke.

Methods: A total of 202 participants with mild-to-moderate stroke (90% ischemic, 45% female, 44% Black) completed an ecological momentary assessment five times per day for 2 weeks by reporting their depressed mood and functional behaviors regarding where, with whom, and what activity was spent.

Results: Participants spent 28% of their wake-up time participating in passive leisure activities but spent the least time in physical (4%) and vocational (9%) activities. Depressed mood was concurrently lower when participants engaged in social activities (β = -0.023 ± 0.011) and instrumental activities of daily living (β = -0.061 ± 0.013); spent time with family members (β = -0.061 ± 0.014), spouses (β = -0.043, ± 0.016), friends (β = -0.094, ± 0.021), and coworkers (β = -0.050 ± 0.021); and were located in restaurants (β = -0.068 ± 0.029), and homes of family members (β = -0.039 ± 0.020) or friends (β = -0.069 ± 0.031). Greater depressed mood was associated with worse ratings in satisfaction, performance, and engagement of activities in concurrent (βs = -0.036 ± 0.003, -0.053 ± 0.003, -0.044 ± 0.003) and time-lagged models (βs = -0.011 ± 0.004, -0.012 ± 0.004, -0.013 ± 0.004).

Discussion: Smartphone-based ambulatory assessment can elucidate functional behaviors and associated mood after stroke. Findings support behavioral activation treatments to schedule social and instrumental activities for stroke survivors to reduce their depressed mood.

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智能手机评估揭示了中风后抑郁情绪和日常功能行为之间的实时关系。
在日常生活中,抑郁情绪的影响很难用传统的回顾性评估来调查,因为在各种情况下,每天甚至是一天的情绪波动。这项研究旨在使用基于智能手机的动态评估来检查中风患者抑郁情绪和功能行为之间的实时关系。方法共202名轻中度脑卒中患者(90%为缺血性卒中,45%为女性,44%为黑人)完成了为期2周的生态瞬间评估,每天5次,报告他们的抑郁情绪和功能行为,包括在哪里,与谁一起,以及进行了什么活动。结果参与者将28%的起床时间用于被动休闲活动,但用于体育活动(4%)和职业活动(9%)的时间最少。当被试从事社交活动(β = -0.023±0.011)和日常生活工具活动(β = -0.061±0.013)时,抑郁情绪同时降低;花时间与家人(β= -0.061±0.014),配偶(β= -0.043±0.016)、朋友(β= -0.094±0.021),和同事(β= -0.050±0.021);分别位于饭店(β = -0.068±0.029)、家庭成员(β = -0.039±0.020)或朋友家(β = -0.069±0.031)。更大的抑郁情绪与更差的满意度、表现和参与活动的评分相关(βs = -0.036±0.003,-0.053±0.003,-0.044±0.003)和滞后模型(βs = -0.011±0.004,-0.012±0.004,-0.013±0.004)。基于智能手机的动态评估可以阐明中风后的功能行为和相关情绪。研究结果支持行为激活治疗,为中风幸存者安排社交和工具性活动,以减少他们的抑郁情绪。
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来源期刊
CiteScore
14.10
自引率
10.60%
发文量
174
审稿时长
6-12 weeks
期刊介绍: Journal of Telemedicine and Telecare provides excellent peer reviewed coverage of developments in telemedicine and e-health and is now widely recognised as the leading journal in its field. Contributions from around the world provide a unique perspective on how different countries and health systems are using new technology in health care. Sections within the journal include technology updates, editorials, original articles, research tutorials, educational material, review articles and reports from various telemedicine organisations. A subscription to this journal will help you to stay up-to-date in this fast moving and growing area of medicine.
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