[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"ai-based-fitness\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:ai-based-fitness":50},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":12,"acronym":4,"eligibilityCriteria":13,"healthyVolunteers":10,"sex":14,"minAge":15,"maxAge":4,"enrollmentInfo":16,"targetDuration":4,"studyType":19,"phases":20,"briefSummary":22,"conditions":23,"keywords":31,"overallStatus":37,"whyStopped":4,"lastUpdateSubmitDate":38,"lastUpdatePostDateStruct":39,"startDateStruct":42,"completionDateStruct":44,"leadSponsor":46,"locationsCount":49},"100608933",false,"NCT07207993","Evaluating Health Outcomes of AI-Based Fitness Wearables and App Programs in Older Adults Living Alone With Cognitive Decline","Inclusion Criteria:\n\n* Participant must be at least 65 years of age older\n* Participant must be living alone in the U.S. for the next 6 months\n* Participant must have report mild cognitive decline \\[We will use a short self-report AD8 measure of cognitive concerns. Those scoring positive on the AD8 (≥2) will qualify as mild cognitive decline\\];\n* Participant must own an Android\u002FApple smartphone\n* Participant must have access to internet or Wi-Fi access\n* Participant must be capable of engaging in some PA as determined by the PA Readiness Questionnaire or physician approval\n* Participant must currently participate in weekly moderate-to-vigorous PA (MVPA) or less than 150 minutes\n* Participant must have basic English communication skills.\n\nExclusion Criteria:\n\n* Foreign residents or visitors","ALL","65 Years",{"count":17,"type":18},64,"ESTIMATED","INTERVENTIONAL",[21],"NA","The overarching goal of our research is to develop personalized and accessible healthy aging lifestyle interventions aimed at promoting physical activity (PA) and improving health among community-dwelling older adults living alone with cognitive decline (LACD). To achieve this goal, the purpose of this project is to determine whether wearable and app-based mHealth intervention component(s) will contribute to increased PA and improved health outcomes in older adults LACD. Our specific aims are to: identify and evaluate mHealth intervention components that practically and significantly contribute to enhanced mechanistic outcomes (e.g., self-efficacy, outcome expectations) and increased PA (primary outcome) in older adults LACD over a 6-month period; determine the optimal combinations of intervention components for future efficacy testing; elucidate the mechanism of behavioral change (MoBC) and potential outcomes of these intervention components, namely, the mediating effects of MoBC variables (e.g., self-efficacy, outcome expectations) on the relationship between intervention components and change in PA. The first two aims are primary and fully-powered. The third aim is exploratory. The aims will support a refined, data-driven intervention design for a subsequent larger trial.",[24,25,26,27,28,29,30],"Older Adults With Cognitive Decline","Older Adults","AI-Based Fitness","Wearables","Cognitive Decline","Physical Activity","Physical Inactivity",[32,33,26,29,30,34,35,36],"Older adults","Cognitive decline","Living alone with cognitive decline","LACD","U.S Older adults","RECRUITING","2026-06-10",{"date":40,"type":41},"2026-06-15","ACTUAL",{"date":43,"type":41},"2026-06-08",{"date":45,"type":18},"2028-06-08",{"name":47,"class":48},"The University of Tennessee, Knoxville","OTHER",2,""]