[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100575268":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":21,"centralContacts":27,"locations":33,"responsibleParty":49,"collaborators":52,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":10,"eligibilityCriteria":62,"healthyVolunteers":63,"sex":64,"minAge":65,"maxAge":66,"enrollmentInfo":67,"targetDuration":10,"studyType":70,"phases":10,"briefSummary":71,"conditions":72,"keywords":79,"overallStatus":35,"whyStopped":10,"lastUpdateSubmitDate":87,"lastUpdatePostDateStruct":88,"startDateStruct":91,"completionDateStruct":93,"leadSponsor":95,"locationsCount":96},{"fullName":5,"class":6},"Nanyang Technological University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Undergraduate students",null,"Undergraduate students from Nanyang Technological University",[13],"Other: Observational",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":19},"Observational","Participants will not receive any study intervention. During the six month study period, participants will complete four active assessments at Months 0, 1, 3 and 6, and data from the study-provided wearable (Fitbit Charge 6) and sensors from the participant's smartphone (through the Brightline app) will be collected passively throughout.",[9],[20],"There will be no interventions involved in this study.",[22,25],{"name":23,"affiliation":5,"role":24},"Andy WH Khong, PhD","PRINCIPAL_INVESTIGATOR",{"name":26,"affiliation":5,"role":24},"Andy HY Ho, PhD, EdD",[28],{"name":29,"role":30,"phone":31,"phoneExt":10,"email":32},"Zhi Wei Tan, PhD","CONTACT","+65 92312575","zhiwei.tan@ntu.edu.sg",[34],{"facility":5,"status":35,"city":36,"state":10,"zip":37,"country":36,"countryCode":38,"cosmosGeoPoint":39,"geoPoint":44,"contacts":45},"RECRUITING","Singapore","639798","SG",{"type":40,"coordinates":41},"Point",[42,43],103.85007,1.28967,{"lat":43,"lon":42},[46,47,48],{"name":29,"role":30,"phone":31,"phoneExt":10,"email":32},{"name":23,"role":30,"phone":10,"phoneExt":10,"email":10},{"name":26,"role":30,"phone":10,"phoneExt":10,"email":10},{"type":24,"investigatorFullName":50,"investigatorTitle":51,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Andy Khong W H","Assoc Prof",[53],{"name":54,"class":55},"Ministry of Health, Singapore","OTHER_GOV","100575268","brightline-advancing-mental-health-on-campus-100575268",false,"NCT06770075","Brightline: Advancing Mental Health on Campus","Brightline - a Digital Phenotyping Study Toward Advancing Mental Health on Campus","Inclusion Criteria:\n\n* Be aged 18 years or older.\n* Be a current full-time undergraduate student.\n* Own a smartphone with Wi-Fi, 4G, and Bluetooth capabilities.\n* Possess adequate English language proficiency.\n* Be able to download the study apps.\n* Provide informed consent.\n\nExclusion Criteria:\n\n* Are part-time students.\n* Have a current diagnosis of any mental health disorder or a past diagnosis with any bipolar disorder, substance use disorder, or any psychotic disorder.\n* Are currently undergoing mental health treatment.\n* Lack sufficient English proficiency.\n* Report suicidal ideation as indicated by Patient Health Questionnaire (PHQ-9) Item-9, \"Thoughts you would be better off dead or of hurting yourself in some way\".\n* Cannot commit to wearing a wearable device for the six-month monitoring period.\n* Receive special education accommodations or support from the university.",true,"ALL","18 Years","25 Years",{"count":68,"type":69},500,"ESTIMATED","OBSERVATIONAL","This observational study will employ a multi-modal observation methodology, integrating data from wearable devices and smartphones to establish comprehensive digital biomarkers for identifying symptoms of mental health conditions in university students. The study aims to identify the digital behavioural markers associated with mental health conditions, develop predictive algorithms for mental health states from digital markers, and identify university students at risk for mental health conditions.",[73,74,75,76,77,78],"Depression","Anxiety","Stress","Positive Affect","Negative Affect","Loneliness",[80,81,82,83,84,85,86],"university student","mental health","digital phenotyping","digital biomarkers","passive sensing","risk prediction","mental health seeking","2025-01-13",{"date":89,"type":90},"2025-01-15","ACTUAL",{"date":92,"type":69},"2025-01",{"date":94,"type":69},"2026-03",{"name":5,"class":6},1]