@文章{信息:doi/10.2196/17075,作者=“Kumar, Shefali和Tran, Jennifer L A和Ramirez, Ernesto和Lee, Wei-Nchih和Foschini, Luca和Juusola, Jessie L”,标题=“基于行为数据和健康结果的虚拟1年心理健康研究的设计、招募和基线特征:观察性研究”,期刊=“JMIR Ment Health”,年=“2020”,月=“7月”,日=“23”,卷=“7”,数=“7”,页=“e17075”,关键词=“心理健康;焦虑;抑郁症;背景:抑郁和焦虑极大地影响日常行为,如睡眠和活动水平。随着活动跟踪可穿戴设备在普通人群中的使用越来越多,人们对如何使用这些设备收集的数据来进一步了解心理健康状况的严重性和进展越来越感兴趣。目的:这项为期1年的虚拟观察研究旨在创建一个纵向数据集,将抑郁症和焦虑症患者的自我报告健康结果、医疗保健利用情况和生活质量数据与活动跟踪器和基于应用程序的行为数据结合起来。我们提供了研究设计的概述,报告了研究人群的基线健康和行为特征,并提供了关于不同疾病严重程度的个体组之间行为特征差异的初步见解。方法:在线健康社区(Achievement, Evidation health Inc)的现有成员,18岁或以上,自我报告患有抑郁症或焦虑症的个人有资格参加这项为期1年的虚拟研究。参与者同意将可穿戴活动追踪器连接起来,这些追踪器可以捕获与身体活动和睡眠行为相关的数据。心理健康结果,如患者健康问卷(PHQ-9)、广泛性焦虑障碍问卷(GAD-7)、心理健康住院和药物使用,在基线和第3、6、9和12个月完成调查。 In this analysis, we report on baseline characteristics of the sample, including mental health disease severity and health care utilization. Additionally, we explore the relationship between passively collected behavioral data and baseline mental health status and health care utilization. Results: Of the 1304 participants enrolled in the study, 1277 individuals completed the baseline survey and 1068 individuals had sufficient activity tracker data. Mean age was 33 (SD 9) years, and the majority of the study population was female (77.2{\%}, 994/1288) and identified as Caucasian (88.3{\%}, 1137/1288). At baseline, 94.8{\%} (1211/1277) of study participants reported experiencing depression or anxiety symptoms in the last year. This baseline analysis found that some passively tracked behavioral traits are associated with more severe forms of anxiety or depression. Individuals with depressive symptoms were less active than those with minimal depressive symptoms. Severe forms of depression were also significantly associated with inconsistent sleep patterns and more disordered sleep. Conclusions: These initial findings suggest that longitudinal behavioral and health outcomes data may be useful for developing digital measures of health for mental health symptom severity and progression. ", issn="2368-7959", doi="10.2196/17075", url="http://mental.www.mybigtv.com/2020/7/e17075/", url="https://doi.org/10.2196/17075", url="http://www.ncbi.nlm.nih.gov/pubmed/32706712" }
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