[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"experts-in-physical-activity-prescription-and-risk-health-screening\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:experts-in-physical-activity-prescription-and-risk-health-screening":46},{"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":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":10,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":25,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":5},"100629480",false,"NCT07475221","Expert Validation of an Autonomous Personalized Physical Activity Algorithm","Validation of a Personalized Physical Activity Algorithm Via Modified e-Delphi (InnovaMotion Project)","APPA e-Delphi","Inclusion Criteria\n\n* Experts in Physical Activity and Exercise with recognized scientific or professional experience and a relevant doctoral degree.\n* Availability to complete two rounds of the online modified Delphi questionnaire.\n* Willingness to participate in an online focus group if consensus is not reached.\n* Ability and willingness to provide informed consent.\n\nExclusion Criteria\n\n* Individuals unable to provide informed consent.\n* Individuals without access to a computer, smartphone, tablet, or other internet-enabled device necessary to complete the online survey.","ALL","18 Years",{"count":19,"type":20},9,"ESTIMATED","OBSERVATIONAL","This study aims to validate a personalized physical activity algorithm for risk screening and individualized exercise prescription using a modified online Delphi process. International experts in physical activity and exercise will evaluate the algorithm's components over two rounds of questionnaires, with consensus defined as ≥70% agreement. If needed, a focus group will resolve any remaining disagreements. Validation of this algorithm may support safer, more effective autonomous exercise, promoting adherence, improved health outcomes, and population-level benefits.",[24],"Experts in Physical Activity Prescription and Risk Health Screening",[26,27,28,29,30,31,32,33],"eDelphi","physical activity","Modified Delphi","Digital Health","Expert Consensus","Exercise Prescription","screening","health risk stratification","RECRUITING","2026-03-14",{"date":37,"type":38},"2026-03-17","ACTUAL",{"date":40,"type":38},"2026-03-10",{"date":42,"type":20},"2026-12",{"name":44,"class":45},"Polytechnic Institute of Porto","OTHER",""]