促进工人体育锻炼,改善心理健康:利用深度学习的移动医疗干预。

Q3 Medicine Journal of UOEH Pub Date : 2024-01-01 DOI:10.7888/juoeh.46.119
Kazuhiro Watanabe
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引用次数: 0

摘要

有明确的科学证据表明,体育锻炼有助于预防抑郁症和焦虑症。利用移动医疗(mHealth)技术来促进体育锻炼很有前景,但有关移动医疗干预对体育锻炼和心理健康的有效性的证据并不一致。我们最近开发了一款本地智能手机应用程序,通过促进体育锻炼来预防抑郁症和焦虑症。该应用程序的优势之一在于它采用了深度学习模型,能从用户的体育锻炼模式中自动估算出心理困扰。我们进行了为期 1 个月的单臂可行性试验,以考察该应用程序的实施情况及其在促进体育锻炼和改善抑郁与焦虑方面的效果。结果,我们没有观察到体育锻炼或心理困扰有任何明显改善。在实施方面,参与者较少使用该应用程序。演讲的结论是,移动医疗干预措施在改善工人的体育锻炼和心理健康方面大有可为,但在现阶段,其有效性尚不明确。还有一些挑战需要解决,特别是在实施方面。
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Promoting Physical Activity Among Workers for Better Mental Health: An mHealth Intervention With Deep Learning.

There is clear scientific evidence that physical activity helps to prevent depression and anxiety. Utilizing mobile health (mHealth) technologies to enable physical activity is promising, but the evidence of the effectiveness of mHealth interventions on physical activity and mental health is inconsistent. We recently developed a native smartphone app to prevent depression and anxiety by promoting physical activity. One of the app's strengths is that it adopts a deep-learning model and automatically estimates psychological distress from users' physical activity patterns. We conducted a single-arm, 1-month feasibility trial to examine the implementation of the app and its effectiveness in promoting physical activity and improving depression and anxiety. As a result, we did not observe any significant improvement in physical activity or psychological distress. For implementation aspects, the participants used the app less. The conclusion of the presentation is that mHealth interventions are promising for the improvement of physical activity and mental health among workers, but, at this stage, their effectiveness is unclear. There are challenges to be addressed, especially in implementation.

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来源期刊
Journal of UOEH
Journal of UOEH Medicine-Medicine (all)
CiteScore
1.30
自引率
0.00%
发文量
35
期刊介绍: Published quarterly: 1 annual volume consisted of 4 numbers. Issued on the 1st of March, June, September and December, respectively.
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