[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100641549":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":17,"locations":26,"responsibleParty":45,"collaborators":10,"id":47,"slug":10,"hasResults":48,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":10,"eligibilityCriteria":52,"healthyVolunteers":48,"sex":53,"minAge":54,"maxAge":55,"enrollmentInfo":56,"targetDuration":10,"studyType":59,"phases":10,"briefSummary":60,"conditions":61,"keywords":63,"overallStatus":67,"whyStopped":10,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":77},{"fullName":5,"class":6},"National Institutes of Health Clinical Center (CC)","NIH",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"1",null,"800 males and females, age 18-60 years who are in good health",[13],{"name":14,"affiliation":15,"role":16},"Susanne M Votruba, Ph.D.","National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)","PRINCIPAL_INVESTIGATOR",[18,23],{"name":19,"role":20,"phone":21,"phoneExt":10,"email":22},"Office of Participant Recruitment (NIDDK","CONTACT","(602) 200-5315","niddkphxcontact@mail.nih.gov",{"name":14,"role":20,"phone":24,"phoneExt":10,"email":25},"(301) 827-3521","votrubas@niddk.nih.gov",[27],{"facility":28,"status":10,"city":29,"state":30,"zip":31,"country":32,"countryCode":33,"cosmosGeoPoint":34,"geoPoint":39,"contacts":40},"NIDDK, Phoenix","Phoenix","Arizona","85014","United States","US",{"type":35,"coordinates":36},"Point",[37,38],-112.07404,33.44838,{"lat":38,"lon":37},[41],{"name":42,"role":20,"phone":43,"phoneExt":10,"email":44},"Douglas Chang, M.D.","602-200-5312","douglas.chang2@nih.gov",{"type":46,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100641549",false,"NCT07637656","Discovering Determinants of Food Intake by Application of Artificial Intelligence to Complex, High-Dimensional Data","Discovering Determinants of Food Intake by Application of Machine Learning to Complex, High-Dimensional Data","* INCLUSION CRITERIA:\n\nTo be eligible to participate in this study, an individual must meet all the following criteria:\n\n1. Stated willingness to comply with all study procedures and availability for the duration of the study\n2. Age 18 to 60\n3. In good general health as evidenced by medical history and physical exam\n\nEXCLUSION CRITERIA:\n\nAn individual who meets any of the following criteria will be excluded from participation in this study:\n\n1. Weight \\>=204 kg (\\>=450 pounds, maximum weight of the iDXA machine as per manufacturer s manual), or weight \\\u003C45.4 kg (\\\u003C100 pounds, minimum weight allowed based on the NIH guidelines of blood drawing for research purposes)\n2. Unstable weight (+\u002F-5%) within past 6 months as determined by volunteer self-report.\n3. Current use of medications, dietary supplements, or alternative therapies known to alter energy metabolism\n4. Inability to consume provided food based on food allergy or intolerance or other food restrictions (e.g., kosher, vegan, or vegetarian)\n5. Current pregnancy, or recent pregnancy within past 6 months or currently lactating\n6. History or clinical manifestation of:\n\n6i. Diabetes, including fasting glucose \\>= 126 mg\u002Fdl or HbA1c \\>= 6.5%, or history\n\n6ii. Surgery for treatment of obesity\n\n6iii. Endocrine disorders, such as Cushing s disease, pituitary disorders, or hypo- and hyperthyroidism (TSH \\\u003C0.1 or \\>= 10 uIU\u002FmL)\n\n6iv. Pulmonary disorders including chronic obstructive pulmonary disease or other lung disease that which would limit ability to follow the protocol\n\n6v. History of coronary artery disease, heart failure, arrhythmias, and peripheral artery disease that which would limit ability to follow the protocol\n\n6vi. Liver disease, including cirrhosis, active hepatitis B or C based on history, and AST or ALT \\>= 3x normal\n\n6vii. Gastrointestinal disease including Crohn's disease, ulcerative colitis, celiac disease, or other malabsorptive disorders by history\n\n6viii. Hematologic disorders including significant anemia (male hemoglobin \\\u003C 13.0 g\u002FdL or female hemoglobin \\\u003C 11.0 g\u002FdL)\n\n6ix. Renal disease including abnormal kidney function (eGFR \\\u003C60 mL\u002Fmin\u002F1.73m\\^2)\n\n6x. Central nervous system disease, including cerebrovascular accidents, dementia, and neurodegenerative disorders by history\n\n6xi. Cancer requiring treatment in the past 5 years, except for nonmelanoma skin cancers or cancers that have clearly been cured\n\n6xii. Infectious disease such as active tuberculosis, HIV (by self-report), chronic coccidiomycosis or other chronic infections that might influence appetite\n\n6xiii. Diagnosis of binge eating disorder, anorexia, or major psychiatric disorders including depression, schizophrenia, and psychosis\n\n6xiv. Menopausal transition (late) to early postmenopause (e.g., \\>= 2 skipped cycles and an interval of amenorrhea \\>= 60 days and \\\u003C12 months)\n\n7\\. Alcohol abuse as defined by \\>= 8-point score on the Alcohol Use Disorders Identification Test (AUDIT) questionnaire interview\n\n8\\. Inability to provide informed consent\n\n9\\. Any disorder, unwillingness, or inability not specifically mentioned above may serve as criteria for exclusion at the discretion of the investigators, such as those that jeopardize the safety of the participant or others, or would interfere with completion of study procedures","ALL","18 Years","60 Years",{"count":57,"type":58},800,"ESTIMATED","OBSERVATIONAL","Background:\n\nMany people in the United States are overweight or obese. Researchers want to learn why some people can overeat and not gain weight, whereas others who do not overeat still gain weight.\n\nObjective:\n\nTo study factors related to food intake that can lead to weight gain over time.\n\nEligibility:\n\nHealthy adults aged 18 to 60 years.\n\nDesign:\n\nParticipants will have 6 to 8 clinic visits over 2 years. The first 3 or 4 study visits will be 1 week apart.\n\nProcedures during visits may include the following:\n\nCollection of blood, hair, urine, and stool samples.\n\nMeasurement of the waist, neck, thighs, and other parts of the body.\n\nDual energy x-ray absorption (DXA) scan: Participants will lie still on a padded table while they are scanned to measure body fat.\n\nPhysical activity monitor: Participants will wear a monitor on the wrist for 2 weeks.\n\nCognitive tests: Participants will perform tasks to measure attention, memory, and brain function.\n\nContinuous glucose monitor. Participants will wear a device that measures their blood glucose for 1 week.\n\nMixed meal test and stomach emptying test. Participants will drink a breakfast shake and swallow a dose of acetaminophen. Blood will be drawn over the next 4 hours.\n\nResting metabolic rate: Participants will wear a clear hood over their head while they rest for 20 minutes. The hood will measure the gases they breathe.\n\nBreakfast and lunch test. Participants will eat a standard breakfast. They will be allowed to select from foods and eat as much as they like at lunch. They will be asked how hungry or full they are.\n\nQuestionnaires. Participants will answer questions about their health, sleep, physical activity, and eating.",[62],"Healthy Volunteer",[64,65,66],"Food Intake","Energy Expenditure","Artificial Intelligence","NOT_YET_RECRUITING","2026-07-01",{"date":70,"type":71},"2026-07-02","ACTUAL",{"date":73,"type":58},"2026-07-07",{"date":75,"type":58},"2037-07-01",{"name":15,"class":6},1]