Digital multi-modal approaches to subtyping insomnia disorder (DIMOSI): study design, rationale, digital platform, and preliminary baseline characteristics of a national prospective cohort study

作者：Yujing Zhou, Jiyang Pan, Hanrong Cheng, Xiao Li, Wenjing Zhang, Hui‐Ling Huang, Kezhi Liu, Leqin Fang, Wenbin Ma, Yan Xia, Jinghui Li, Dongsheng Lv, Yanyu Hu, Yi‐Cheng Chang, Zan Wang, Haojuan Tao, Chunrong Zhang, Chenyu Li, Yanhui Peng, Qiying Zhao, Yunshu Zhang, Junhua Mei, Xuehang Wang, Ting Wei, Mingqing Zhou, Qiu Zhang, Qiuqiang Chen, Ngan Yin Chan, Bin Zhang, Yun Kwok Wing, Binbin Lei, Jihui Zhang · 发表于：BMC Psychiatry · 年份：2025 · DOI：10.1186/s12888-025-07648-9 · 被引用次数：1 · 研究领域：Sleep and related disorders、Sleep and Wakefulness Research、Obstructive Sleep Apnea Research

BACKGROUND: Insomnia disorder exhibits complex manifestations and heterogeneous clinical trajectories. Accurate subtyping of insomnia might enhance understanding of its clinical presentations and facilitate precision management. The Digital Multi-modal approaches to Subtyping Insomnia disorder (DIMOSI) study is a national prospective cohort study utilizing multi-modal assessments to explore the subtypes of insomnia disorder, their natural trajectories, and related mental health outcomes. METHODS: A total of 4,000 adult participants meeting International Classification of Sleep Disorders, 3rd Edition (ICSD-3) criteria for insomnia disorder will be recruited from community or clinical settings. Eligible participants will be invited to complete the multi-dimensional assessments via a digital platform, including a structured interview, questionnaires, cognitive tasks, sleep-activity diary, physiological characteristics, and ecology momentary assessments, as well as 7-day physical activity and sleep tracking using wearable devices. All participants will be followed up at 6 and 12 months. The primary outcome is the identification of multi-modal subtypes of insomnia disorder and their correlates. Secondary outcomes include the longitudinal trajectories of these subtypes, associated risk factors, and mental health outcomes. RESULTS: As of June 30, 2025, a total of 2937 patients with insomnia disorder have been recruited, with a mean age of 37.3 years (SD = 12.6), 59.3% from outpatien...