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在现实世界中,活动和动机的数字测量会影响抑郁和焦虑。

Digital measures of activity and motivation impact depression and anxiety in the real world.

作者信息

Beltrán Jacqueline M, Jacob Yael, Mehta Marishka M, Hossain Tasnim, Adams Abigail, Fontaine Samantha, Torous John, McDonough Catherine, Johnson Matthew, Delgado Andrew D, Murrough James W, Morris Laurel S

机构信息

Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

NPJ Digit Med. 2025 May 10;8(1):268. doi: 10.1038/s41746-025-01669-0.

DOI:10.1038/s41746-025-01669-0
PMID:40348910
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12065807/
Abstract

Mood and anxiety disorders are highly comorbid, with symptom severity varying over time. Individuals with and without these disorders completed 30-days of ecological momentary assessment (EMAs) of depression, anxiety and distress, developed based on the established Mood and Anxiety Symptom Questionnaire (MASQ). These electronic MASQ (eMASQ) EMAs were collected alongside novel intrinsic and extrinsic motivation EMAs, and physical/digital activity measures (steps/screentime) across N = 70-101 participants. Each eMASQ-EMA significantly related to its corresponding MASQ measure. Extrinsic and intrinsic motivation negatively related to each eMASQ-EMA and had the greatest influence on patients' overall symptom profile. Physical, but not digital activity, was negatively associated with concurrent and 1-week lagged anxiety and depression, highlighting the temporally delayed benefits of physical activity on depression and anxiety symptoms in psychiatric groups. Collectively, this study suggests cognitive constructs related to drive and physical activity, may be useful in predicting continuous and transient psychiatric symptoms in the real-world.

摘要

情绪和焦虑障碍高度共病,症状严重程度随时间变化。患有和未患有这些障碍的个体完成了基于既定的情绪和焦虑症状问卷(MASQ)开发的为期30天的抑郁、焦虑和痛苦的生态瞬时评估(EMA)。这些电子MASQ(eMASQ)EMA是与新的内在和外在动机EMA以及N = 70 - 101名参与者的身体/数字活动测量(步数/屏幕时间)一起收集的。每个eMASQ - EMA与其相应的MASQ测量显著相关。外在和内在动机与每个eMASQ - EMA呈负相关,并且对患者的整体症状概况影响最大。身体活动而非数字活动与同时期和滞后1周的焦虑和抑郁呈负相关,突出了身体活动对精神疾病群体中抑郁和焦虑症状的时间延迟益处。总体而言,这项研究表明,与驱动力和身体活动相关的认知结构可能有助于预测现实世界中持续和短暂的精神症状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cdf72fafd584/41746_2025_1669_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/4c84188ee18f/41746_2025_1669_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/a7c197634f3c/41746_2025_1669_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cadf1e7605de/41746_2025_1669_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/e71017d47272/41746_2025_1669_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cdf72fafd584/41746_2025_1669_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/4c84188ee18f/41746_2025_1669_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cd71695a8d51/41746_2025_1669_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cf338df5ce3e/41746_2025_1669_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/a7c197634f3c/41746_2025_1669_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cadf1e7605de/41746_2025_1669_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/e71017d47272/41746_2025_1669_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45a4/12065807/cdf72fafd584/41746_2025_1669_Fig7_HTML.jpg

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本文引用的文献

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From movement to motivation: a proposed framework to understand the antidepressant effect of exercise.从运动到动机:理解运动抗抑郁作用的框架。
Transl Psychiatry. 2024 Jul 4;14(1):273. doi: 10.1038/s41398-024-02922-y.
2
Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review.数字化表型用于压力、焦虑和轻度抑郁的评估:系统文献综述。
JMIR Mhealth Uhealth. 2024 May 23;12:e40689. doi: 10.2196/40689.
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From "online brains" to "online lives": understanding the individualized impacts of Internet use across psychological, cognitive and social dimensions.
从“网络大脑”到“网络生活”:理解互联网使用在心理、认知和社会维度上的个体化影响。
World Psychiatry. 2024 Jun;23(2):176-190. doi: 10.1002/wps.21188.
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Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder.迈向患者诊断剖析的精准化:在重度抑郁症评估中利用症状动态作为临床特征维度
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5
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorder.抑郁症状作为一个异质性且不断演变的动态系统:重度抑郁症患者中症状快速变化的个体特异性抑郁症状网络。
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BMJ Ment Health. 2023 Feb;26(1). doi: 10.1136/bmjment-2023-300718.
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