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Telemedicine-enabled ambulances and mobile stroke units for prehospital stroke management.远程医疗支持的救护车和移动卒中单元在院前卒中管理中的应用。
J Telemed Telecare. 2022 Jul;28(6):458-463. doi: 10.1177/1357633X211047744. Epub 2021 Oct 12.
2
Measuring Activities of Daily Living in Stroke Patients with Motion Machine Learning Algorithms: A Pilot Study.应用运动机器学习算法测量脑卒中患者的日常生活活动能力:一项初步研究。
Int J Environ Res Public Health. 2021 Feb 9;18(4):1634. doi: 10.3390/ijerph18041634.
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Post-stroke depression: Chaos to exposition.中风后抑郁:从混沌到阐明。
Brain Res Bull. 2021 Mar;168:74-88. doi: 10.1016/j.brainresbull.2020.12.012. Epub 2020 Dec 31.
4
A perspective on the use of ecological momentary assessment and intervention to promote stroke recovery and rehabilitation.关于利用生态瞬时评估和干预来促进中风康复和恢复的观点。
Top Stroke Rehabil. 2021 Dec;28(8):594-605. doi: 10.1080/10749357.2020.1856557. Epub 2020 Dec 3.
5
Effective Tools to Predict Depression in Acute and Subacute Phase of Ischemic Stroke.预测缺血性脑卒中急性期和亚急性期抑郁的有效工具。
J Neuropsychiatry Clin Neurosci. 2021 Winter;33(1):43-48. doi: 10.1176/appi.neuropsych.20040076. Epub 2020 Oct 22.
6
Daily Activities Related to Mobile Cognitive Performance in Middle-Aged and Older Adults: An Ecological Momentary Cognitive Assessment Study.中老年人群与移动认知性能相关的日常活动:一项生态瞬间认知评估研究。
JMIR Mhealth Uhealth. 2020 Sep 24;8(9):e19579. doi: 10.2196/19579.
7
Ecological Momentary Assessment of Social Interactions: Associations With Depression, Anxiety, Pain, and Fatigue in Individuals With Mild Stroke.社会互动的生态瞬时评估:与轻度中风个体的抑郁、焦虑、疼痛和疲劳的关联。
Arch Phys Med Rehabil. 2021 Mar;102(3):395-405. doi: 10.1016/j.apmr.2020.08.007. Epub 2020 Sep 9.
8
Sedentary behaviors and risk of depression: a meta-analysis of prospective studies.久坐行为与抑郁风险:前瞻性研究的荟萃分析。
Transl Psychiatry. 2020 Jan 22;10(1):26. doi: 10.1038/s41398-020-0715-z.
9
Reliability and accuracy of individual Alberta Stroke Program Early CT Score regions using a medical and a smartphone reading system in a telestroke network.在远程卒中网络中,使用医学阅读系统和智能手机阅读系统对阿尔伯塔卒中项目早期CT评分各区域的可靠性和准确性
J Telemed Telecare. 2021 Aug;27(7):436-443. doi: 10.1177/1357633X19881863. Epub 2019 Oct 21.
10
Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study.中风后抑郁使缺血性中风幸存者的残疾程度增加超过15%:一项病例对照研究。
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智能手机评估揭示了中风后抑郁情绪与日常功能行为之间的实时关系。

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

机构信息

Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA.

Center for Rehabilitation Outcomes Research, Shirley Ryan AbilityLab, Chicago, IL, USA.

出版信息

J Telemed Telecare. 2024 Jun;30(5):871-884. doi: 10.1177/1357633X221100061. Epub 2022 May 13.

DOI:10.1177/1357633X221100061
PMID:35549589
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9653506/
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.

摘要

简介

鉴于日常生活中的情绪波动,使用传统的回顾性评估方法很难研究抑郁情绪的影响。本研究旨在使用基于智能手机的动态评估来检查中风患者的抑郁情绪与功能行为之间的实时关系。

方法

共有 202 名轻度至中度中风患者(90%为缺血性,45%为女性,44%为黑人)通过每天报告 5 次他们的抑郁情绪和功能行为,包括他们在哪里、与谁在一起以及从事什么活动,完成了为期 2 周的生态瞬间评估。

结果

参与者在醒来时间的 28%用于参与被动休闲活动,但在身体(4%)和职业(9%)活动中花费的时间最少。当参与者参与社交活动(β=-0.023±0.011)和日常工具活动(β=-0.061±0.013)时,抑郁情绪同时降低;与家庭成员(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)共度时光;并位于餐厅(β=-0.068±0.029)、家庭成员(β=-0.039±0.020)或朋友(β=-0.069±0.031)的家中。更高的抑郁情绪与活动的满意度、表现和参与度的更差评分相关,在并发(βs=-0.036±0.003,-0.053±0.003,-0.044±0.003)和时间滞后模型(βs=-0.011±0.004,-0.012±0.004,-0.013±0.004)中。

讨论

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方案,为中风幸存者安排社交和工具性活动,以降低他们的抑郁情绪。