[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100484523":3},{"organization":4,"outcomesModule":7,"designInfo":27,"detailedDescription":26,"studyPopulation":26,"armGroups":35,"interventions":44,"overallOfficials":26,"centralContacts":26,"locations":49,"responsibleParty":76,"collaborators":26,"id":78,"slug":79,"hasResults":80,"nctId":81,"briefTitle":82,"officialTitle":82,"acronym":26,"eligibilityCriteria":83,"healthyVolunteers":84,"sex":85,"minAge":86,"maxAge":87,"enrollmentInfo":88,"targetDuration":26,"studyType":91,"phases":92,"briefSummary":94,"conditions":95,"keywords":98,"overallStatus":51,"whyStopped":26,"lastUpdateSubmitDate":102,"lastUpdatePostDateStruct":103,"startDateStruct":106,"completionDateStruct":108,"leadSponsor":110,"locationsCount":111},{"fullName":5,"class":6},"San Diego State University","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":22,"otherOutcomes":26},[9,13,16,19],{"measure":10,"description":11,"timeFrame":12},"Effectiveness of mHealth apps at changing bodyweight assessed by bodyweight measurements over 6 months","Determine if mhealth app is an effective weight loss modality compared to standard weight loss program (control)\n\nOutcome measure will be body weight in kg","6 months",{"measure":14,"description":15,"timeFrame":12},"Self-efficacy in weight management assessed by Weight Management and Nutrition Knowledge questionnaire","Compare and determine which intervention promotes self-efficacy in weight management.\n\nReporting will be on a scale of 0-100, with higher scores indicating higher self-efficacy",{"measure":17,"description":18,"timeFrame":12},"Long term change in diabetes via A1c","Compare and determine which intervention elicits the most change towards diabetes via HbA1c\n\nOutcome measure will be HbA1c",{"measure":20,"description":21,"timeFrame":12},"Long term change in diabetes via fasting blood glucose","Compare and determine which intervention elicits the most change towards diabetes via fasting blood glucose\n\nOutcome measure will be fasting blood glucose",[23],{"measure":24,"description":25,"timeFrame":12},"Quality of Life after using mHealth apps assessed by World Health Organization Quality of Life BREF questionnaire","Comparing the two arms to determine which leads to greater quality of life (QOL)\n\nMeasures will be reported on a scale of 1-5 across four domains. Scores will be converted to a scale of 0-100",null,{"allocation":28,"interventionModel":29,"interventionModelDescription":26,"primaryPurpose":30,"observationalModel":26,"timePerspective":26,"maskingInfo":31},"RANDOMIZED","FACTORIAL","TREATMENT",{"masking":32,"maskingDescription":26,"whoMasked":33},"SINGLE",[34],"PARTICIPANT",[36,39],{"label":37,"type":38,"description":26,"interventionNames":26},"Control","NO_INTERVENTION",{"label":40,"type":41,"description":26,"interventionNames":42},"Healthi","EXPERIMENTAL",[43],"Other: Mobile health application",[45],{"type":6,"name":46,"description":47,"armGroupLabels":48,"otherNames":26},"Mobile health application","Intervention will be with mobile health application",[40],[50],{"facility":5,"status":51,"city":52,"state":53,"zip":54,"country":55,"countryCode":56,"cosmosGeoPoint":57,"geoPoint":62,"contacts":63},"RECRUITING","San Diego","California","92182","United States","US",{"type":58,"coordinates":59},"Point",[60,61],-117.16472,32.71571,{"lat":61,"lon":60},[64,69,73,75],{"name":65,"role":66,"phone":67,"phoneExt":26,"email":68},"Mee Young Hong, PhD","CONTACT","6195942392","mhong2@sdsu.edu",{"name":70,"role":66,"phone":71,"phoneExt":26,"email":72},"Robert J Castro, BS","6193636120","rcastro0271@sdsu.edu",{"name":65,"role":74,"phone":26,"phoneExt":26,"email":26},"PRINCIPAL_INVESTIGATOR",{"name":70,"role":74,"phone":26,"phoneExt":26,"email":26},{"type":77,"investigatorFullName":26,"investigatorTitle":26,"investigatorAffiliation":26,"oldNameTitle":26,"oldOrganization":26},"SPONSOR","100484523","efficacy-of-using-mobile-health-applications-for-health-100484523",false,"NCT05589155","Efficacy of Using Mobile Health Applications for Health","Inclusion Criteria:\n\n* Diagnosed with type II diabetes for at least 3 months\n* Between the age of 18-64\n* BMI ≥ 25\n* Monitors blood glucose regularly (at least once per day)\n* Owns or has access to a bathroom weight scale\n* Owns a smartphone and willing to download mobile app\n\nExclusion Criteria:\n\n* Does not check blood glucose at least once per day\n* On medications that promote weight gain such as antipsychotic, antidepressant, and steroid hormone medications.\n\nMedications for diabetes such as insulin, thiazolidinediones or sulfonylureas are oka",true,"ALL","18 Years","64 Years",{"count":89,"type":90},30,"ESTIMATED","INTERVENTIONAL",[93],"NA","The purpose of this study is to determine the effectiveness of mobile health applications in improving health outcomes and type II diabetes outcomes in type 2 diabetics. This study will involve a 6-month long commitment where participants will be expected to weigh themselves every morning, at the same time, and check their blood glucose readings daily before and after meals for at least three meals in the day.",[96,97],"Diabetes Mellitus, Type 2","Obesity",[99,100,101],"diabetes","mhealth","ehealth","2026-10-01",{"date":104,"type":105},"2026-10-02","ACTUAL",{"date":107,"type":105},"2022-10-01",{"date":109,"type":90},"2028-07-01",{"name":5,"class":6},1]