[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"underweight\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:underweight":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,49,90],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":30,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":48},"100539879","experimental-approach-to-test-predictions-of-body-weight-regulation-models-100539879",false,"NCT06309576","Experimental Approach to Test Predictions of Body Weight Regulation Models","DIP","Inclusion Criteria:\n\n* Body mass index lower than 20 kg\u002Fm2 for the low body weight group, or 30 kg\u002Fm2 or greater for the obesity group\n* 18-40 years old\n* Nulliparous and regular menstrual cycle (25-35 days) during the last six months (in women)\n* Normal thyroid function, blood count, and chemistry 15 panel (normal plasma glucose will be considered at \\\u003C100 mg\u002FdL; normal serum HDL cholesterol at \\>=50 mg\u002FdL for women and \\>=40 mg\u002FdL for men; and normal serum triglycerides at \\\u003C150 mg\u002FdL).\n* Self-reported weight stability during the last six months (±3 kg)\n* Rate the liking of at least one of the flavored liquid meals (Ensure Plus, Abbot Nutrition) between 5 and 8 on a 9-point Likert scale\n* Willing to only drink up to two assigned flavors of Ensure Plus for two consecutive days\n\nExclusion Criteria:\n\n* Eating disorders as indicated by a global score ≥2.80 in the Eating Disorder Examination Questionnaire, or a previous diagnosis of an eating disorder\n* For the low body weight group, having food insecurity (with or without hunger) as assessed by the USDA\n* Recreational moderate-intensity physical activity ≥150 min\u002Fweek, recreational vigorous-intensity physical activity ≥75 min\u002Fweek, or a combination of recreational moderate-intensity and vigorous-intensity physical activity (moderate time + \\[2 × vigorous time\\]) ≥150 min\u002Fweek as assessed by the Global Physical Activity Questionnaire, or being a professional athlete\n* Cigarette or vape smoking\n* Intake of more than 14 alcoholic drinks per week\n* Use of medications that may affect energy intake and\u002For expenditure, for example, semaglutide, liraglutide, exenatide, other GLP-1 receptor agonists, phentermine-topiramate, naltrexone-bupropion, orlistat, metformin, SGLT2 inhibitors, pramlintide, levocarnitine, amphetamines, and amphetamine-like drugs\n* Human immunodeficiency virus, galactosemia, and lactose intolerance\n* Diseases that affect energy homeostasis including endocrine such as hypo\u002Fhyperthyroidism, or type 1 or 2 diabetes; cancer; chronic pulmonary diseases; cardiovascular disease; and renal disease\n* History of inflammatory bowel disease (ulcerative colitis, Crohn's), malabsorption syndromes (intestinal, pancreatic), and sprue or gluten intolerance\n* Having moderate to severe sleep apnea defined as an oxygen desaturation index \\>10 times\u002Fhour assessed by overnight oximetry to be conducted on the night following the screening visit\n* Use of oral hormonal contraceptives or less than 6 months using a hormonal intrauterine device (in women)\n* Adults who are unable to consent\n* Prisoners\n* Currently pregnant or breastfeeding (in women)",true,"ALL","18 Years","40 Years",{"count":21,"type":22},12,"ESTIMATED","INTERVENTIONAL",[25],"NA","The regulation of human body weight and fatness is not fully understood. Although some models of regulation have been proposed (set point, dual-intervention point, others), no studies have been designed to test their predictions. In this pilot and feasibility study, the investigators will implement an experimental approach to test the predictions of models of body weight regulation in humans. Men and women with either low body weight or obesity will be exposed to a 2-day fasting followed by a 2-day ad-libitum refeeding. During the entire fasting-refeeding period, energy intake and expenditure will be accurately measured within metabolic chambers. The investigators will therefore determine the compensatory responses to fasting elicited to prevent weight loss. The results will serve to design and power future studies to better understand body weight regulation.",[28,29],"Obesity","Underweight",[31,32,33,34,35],"Energy expenditure","Energy intake","Energy balance","Set point model","Dual-intervention point model","RECRUITING","2026-05-27",{"date":39,"type":40},"2026-05-29","ACTUAL",{"date":42,"type":40},"2025-01-17",{"date":44,"type":22},"2026-12-03",{"name":46,"class":47},"Pennington Biomedical Research Center","OTHER",1,{"id":50,"slug":51,"hasResults":11,"nctId":52,"briefTitle":53,"officialTitle":54,"acronym":55,"eligibilityCriteria":56,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":57,"enrollmentInfo":58,"targetDuration":4,"studyType":60,"phases":4,"briefSummary":61,"conditions":62,"keywords":72,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":84,"completionDateStruct":86,"leadSponsor":88,"locationsCount":48},"100506981","prevalence-incidence-and-risk-signature-of-chronic-kidney-disease-in-sub-saharan-africa-100506981","NCT05881447","Prevalence, Incidence and Risk Signature of Chronic Kidney Disease in Sub-Saharan Africa","Prevalence, Incidence and Risk Signature of Chronic Kidney Disease in a Primary Care Setting in Semirural Sub-Saharan Africa","RenalTWO","Inclusion Criteria:\n\nall adult patients (≥18 years) attending the outpatients department of the Bagamoyo district hospital (BDH) or the associated Fukayosi and Yombo dispensary\n\nExclusion Criteria:\n\n* \\\u003C18 years of age\n* not living in the BDH catchment area\n* not of African decent\n* not willing to come back for follow-up visits","99 Years",{"count":59,"type":22},1200,"OBSERVATIONAL","Chronic kidney disease (CKD) is associated with increased cardiovascular morbidity and mortality. The prevalence of CKD is increasing worldwide and is assumed to also dramatically increase in Sub-Saharan Africa (SSA). Key shortcomings of available data on CKD in SSA are as follows: (i) Available data are based on single measurements and, therefore, cannot distinguish between harmless transient deterioration in kidney function and chronic kidney damage; (ii) Accurate information regarding renal protein loss, an important and early marker of kidney disease, is lacking; (iii) Cardiovascular risk factors for CKD, such as obesity, hypertension and diabetes, are often not searched for. Likewise non-classic potential risk factors, such as endemic infectious diseases, socioeconomic status and lifestyle have not been consistently recorded; (iv) Information to interrogate linked interaction over time between risk factors and development of CKD is unavailable. With this project, situated in a region representative of semi-rural SSA, we aim to fill this knowledge gap and (i) establish guideline conform prevalence data of CKD and its major cardiovascular risk factors, as well as (ii) prospectively define the incidence of cardiovascular- and non-classic risk factors of CKD. The data from (i) and (ii) is used to develop predictive models. A prospective cohort of 1200 individuals in a primary care facility will serve as study population. The population is representing a society in transition from rural to more urban lifestyle. In the pilot study, participants will be followed for one years and undergo the clinical and biomedical testing required to capture CKD and its classic and non-classic risk factors over time.",[63,64,65,28,66,67,68,29,69,70,71],"Chronic Kidney Diseases","Type 2 Diabetes Mellitus","Arterial Hypertension","Cardiovascular Diseases","HIV Infections","Anemia","Infections","Albuminuria","Dyslipidemias",[73,74,75,68,76,77,78,79,80],"CKD","Risk factors","Cardiovascular disease","Point of care diagnostics","Albumin creatinine ration (ACR)","Estimated glomerular filtration rate (eGFR)","Kidney Disease: Improving Global Outcomes (KDIGO)","HbA1c","2026-04-23",{"date":83,"type":40},"2026-04-29",{"date":85,"type":40},"2023-06-21",{"date":87,"type":22},"2026-12-31",{"name":89,"class":47},"Swiss Tropical & Public Health Institute",{"id":91,"slug":92,"hasResults":11,"nctId":93,"briefTitle":94,"officialTitle":94,"acronym":4,"eligibilityCriteria":95,"healthyVolunteers":16,"sex":17,"minAge":96,"maxAge":97,"enrollmentInfo":98,"targetDuration":4,"studyType":23,"phases":100,"briefSummary":101,"conditions":102,"keywords":105,"overallStatus":112,"whyStopped":4,"lastUpdateSubmitDate":113,"lastUpdatePostDateStruct":114,"startDateStruct":116,"completionDateStruct":118,"leadSponsor":120,"locationsCount":122},"100618519","building-healthy-food-environment-in-schools-evaluating-co-created-interventions-in-low-resource-settings-betternutrition4adolescent-100618519","NCT07332676","Building Healthy Food Environment in Schools: Evaluating Co-created Interventions in Low Resource Settings. #BetterNutrition4Adolescent","Inclusion Criteria:\n\n* Adolescents studying in grade 7 to 9 (aged 11-15 years) Exclusion criteria:\n\nExclusion Criteria:\n\n* Adolescents with siblings enrolled in schools assigned to a different trial arm to avoid clustering, with underlying medical conditions and those who plan to change school within one year of enrollment (during follow up period) will be excluded.","11 Years","15 Years",{"count":99,"type":22},2600,[25],"The goal of this clinical trial is to learn if a multicomponent nutrition program developed together with the students, parents, teachers and canteen operators will improve nutrition status of adolescents. It will also learn about the acceptability and feasibility of implementing the program in the school settings. The main questions it aims to answer are:\n\nWhat is the effect of co-created multicomponent intervention promoting healthy food behavior and environment in schools on the proportion of normal weight adolescents? What proportion of the target adolescents and teachers does the intervention reach? What proportion of the schools are willing to implement the intervention? What was the level of fidelity of implementation of all components of the intervention and the barriers and facilitators to implementation? What is the cost for maintenance, and facilitators and barriers of sustainment? School going adolescents studying in grades 7 to 9 from 26 schools in India and 26 schools in Nepal will be enrolled in the trial and their height, weight, dietary behavior, mental well-being and physical activity will be measured at baseline and at 12 months follow up. After the baseline assessment the school community (students, school environment, parents, teachers, canteen operators) will receive the intervention.",[103,29,104],"Overweight Adolescents","Obese Adolescents",[106,107,108,109,110,111],"nutrition","multicomponent nutrition intervention","co-creation","adolescent","low resource settings","Poor nutrition","NOT_YET_RECRUITING","2025-12-30",{"date":115,"type":40},"2026-01-12",{"date":117,"type":22},"2026-10",{"date":119,"type":22},"2027-12",{"name":121,"class":47},"Norwegian University of Science and Technology",2]