[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"difficulty-maintaining-sleep\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:difficulty-maintaining-sleep":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":31,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":4},"100632430","dual-track-residential-exercise-with-ai-and-monitoring-for-sleep-100632430",false,"NCT07513584","Dual-track Residential Exercise With AI and Monitoring for Sleep","Dual-track Residential Exercise With AI and Monitoring for Sleep in Older Adults With Chronic Insomnia (DREAMS Study)","DREAMS","Inclusion Criteria:\n\n* Age ≥ 60 years\n* Capable of independent mobility (without the use of assistive devices).4\n* Meeting one of the following sleep disturbance criteria:\n\nCore symptoms of DSM-5 chronic insomnia (self-reported) for ≥ 3 months. Insomnia Severity Index (ISI) ≥ 15 (moderate-to-severe insomnia). Pittsburgh Sleep Quality Index (PSQI) \\> 5 (poor sleep quality).\n\n* Basic ability to use a tablet or smartphone (caregivers may assist with login, but exercise must be performed by the participant).\n* Mini-Cog score ≥ 3.\n* Consent to wear wearable devices and participate in data collection.\n\nExclusion Criteria:\n\n* Major cardiovascular events within the past 3 months (e.g., acute myocardial infarction, unstable angina), severe heart failure, or uncontrolled hypertension (e.g., SBP ≥ 180 or DBP ≥ 110 mmHg).\n* Severe osteoarticular or neuromuscular diseases that prevent the safe completion of exercise (e.g., recent hip fracture, severe Parkinsonian imbalance).\n* Severe psychiatric disorders or substance use disorders that may affect adherence.\n* Untreated moderate-to-severe obstructive sleep apnea (OSA) with extreme daytime sleepiness (the study will use objective measurements for preliminary screening).\n* Currently receiving structured psychotherapy for insomnia (e.g., CBT-I or BBTi) and not yet stabilized.\n* Severe visual or hearing impairment that prevents following voice or visual instructions.","ALL","60 Years",{"count":20,"type":21},60,"ESTIMATED","INTERVENTIONAL",[24],"NA","As societies rapidly transition toward aging demographics, sleep issues among community-dwelling older adults have emerged as a critical concern affecting healthy aging and independent living. Current single-track exercise intervention models are often difficult to implement due to suboptimal adherence. Therefore, this study aims to utilize artificial intelligence technology combined with a dual-track residential exercise mode to improve sleep quality, thereby enhancing the self-care and independent living abilities of the elderly",[27,28,29,30],"Chronic Insomnia Characterized","Difficulty Falling Asleep","Difficulty Maintaining Sleep","Healthy Aging and Independent Living",[32,33,34,35],"precision health promotion","insomnia phenotyping","adaptive feedback loop","wearable technology","NOT_YET_RECRUITING","2026-03-30",{"date":39,"type":40},"2026-04-07","ACTUAL",{"date":42,"type":21},"2026-08-01",{"date":44,"type":21},"2027-07-31",{"name":46,"class":47},"National Sun Yat-sen University","OTHER"]