[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"climate-adaptation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:climate-adaptation":33},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,56],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":24,"studyType":25,"phases":4,"briefSummary":26,"conditions":27,"keywords":35,"overallStatus":43,"whyStopped":4,"lastUpdateSubmitDate":44,"lastUpdatePostDateStruct":45,"startDateStruct":48,"completionDateStruct":50,"leadSponsor":52,"locationsCount":55},"100634596","health-and-nutritional-outcomes-among-young-females-and-children-in-southwest-bangladesh-100634596",false,"NCT07541742","Health and Nutritional Outcomes Among Young Females and Children in Southwest Bangladesh","Health and Nutritional Outcomes Among Young Females and Children in Southwest Bangladesh: A Cohort Study","AQUAFOOD","Inclusion Criteria:\n\n* Young women aged 22-27 years who previously participated in the 2017 study. See study description.\n* If the women has a child age between 6 months to 5 years, the child child is included to be assessed\n\nExclusion Criteria:\n\n* Participants with serious health conditions that may interfere with study procedures or data collection.",true,"ALL","5 Months","27 Years",{"count":22,"type":23},240,"ESTIMATED","2 Years","OBSERVATIONAL","This study aims to examine how societal and climate changes influence the nutritional status and fish consumption of young women over a 10 year period in southern Bangladesh, and how these factors affect their children's health. A cohort of 240 adolescents first studied in 2017 will be followed to assess changes in their dietary patterns, nutritional status, climate perceptions and mitigation practices, as well as the nutritional status of their children aged 6 months to 5 years.\n\nThe study in 2017 sampled 60 adolescent girls in each of four rural communities, plus a semi-rural community around a fish processing plant, representing in total 5 communities. Of these 60 X 5 = 300 girls, the current study follows up the individuals in the rural communities representing a cohort of 240.\n\nBangladesh faces high rates of adolescent malnutrition, with many girls married before 18 and suffering from chronic nutrient deficiencies. These issues have long-term impacts on health, productivity, and intergenerational well-being. By linking the fisheries and aquaculture sector, a key to Bangladesh's economy with public health and nutrition, this research aims to guide targeted policies for vulnerable coastal communities.",[28,29,30,31,32,33,34],"Nutritional Status","Micronutrient Status","Omega 3 Fat Status","Diet Diversity","Markers of Inflammation","Climate Adaptation","Climate Change Awareness",[36,37,38,39,40,41,42],"Aquatic foods","adolescent nutrition","fish intake assessment","dietary biomarkers","climate adaptation","intergenerational nutrition","Bangladesh","NOT_YET_RECRUITING","2026-04-30",{"date":46,"type":47},"2026-05-06","ACTUAL",{"date":49,"type":23},"2026-04-15",{"date":51,"type":23},"2026-12-10",{"name":53,"class":54},"University of Copenhagen","OTHER",1,{"id":57,"slug":58,"hasResults":11,"nctId":59,"briefTitle":60,"officialTitle":60,"acronym":4,"eligibilityCriteria":61,"healthyVolunteers":17,"sex":18,"minAge":62,"maxAge":63,"enrollmentInfo":64,"targetDuration":4,"studyType":25,"phases":4,"briefSummary":66,"conditions":67,"keywords":71,"overallStatus":77,"whyStopped":4,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":81,"completionDateStruct":83,"leadSponsor":85,"locationsCount":55},"100602548","chinese-migrant-population-health-cohort-100602548","NCT07124949","Chinese Migrant Population Health Cohort","Inclusion Criteria:\n\n1. Permanent residents of Harbin or Hainan who will continue to reside in Harbin or Hainan for the next 5 years.\n2. Baseline age ≥60 years, with basic communication and comprehension abilities.\n3. No confirmed diagnosis of end-stage major organic diseases (e.g., advanced heart failure, advanced liver failure, advanced kidney failure, malignant tumors).\n4. Able to perform activities of daily living independently and capable of completing questionnaires and physical examinations.\n5. Willing to participate in the study, provide written informed consent, accept long-term follow-up, and provide biological specimens.\n\nExclusion Criteria:\n\n1. Occurrence of life-threatening acute events (e.g., myocardial infarction, acute heart failure, stroke) within the past 30 days.\n2. Currently receiving chronic treatment with antiviral drugs (e.g., for HIV) or antipsychotic medications.\n3. Presence of moderate to severe cognitive impairment preventing survey completion or follow-up cooperation.\n4. Current acute infectious diseases such as influenza or fever.\n5. Simultaneous participation in other interventional clinical studies.\n6. Refusal to sign informed consent or unwillingness to provide biological specimens.\n7. Any other condition deemed unsuitable for study participation by the investigators based on overall assessment.","60 Years","120 Years",{"count":65,"type":23},26000,"The Chinese Migrant Population Health Cohort is a prospective, multi-center study jointly initiated by Professor Yong Ji, President of Harbin Medical University, and Academician Guoqiang Chen, President of Hainan Medical University, in collaboration with regional partners. It targets older adults (≥60 years) who engage in seasonal migration between cold (Heilongjiang) and tropical (Hainan) regions. The primary objective is to investigate cardiovascular and metabolic disease risks, underlying biological and environmental mechanisms, and effective preventive strategies in this unique population.\n\nParticipants are recruited from both origin and destination sites and undergo standardized baseline assessments, including questionnaires, physical examinations, medical imaging, biospecimen collection (blood, stool, hair, nails), and environmental exposure monitoring. Longitudinal follow-up includes periodic reassessments, remote monitoring, and data linkage with hospital information systems to capture health outcomes.\n\nThe study aims to:\n\nDefine migration-related health risk profiles and disease phenotypes.\n\nElucidate biological and environmental mechanisms influencing disease onset and progression.\n\nDevelop AI-driven risk prediction models and evaluate targeted interventions through nested randomized controlled trials.\n\nTranslate findings into clinical guidelines and scalable cross-regional health management models.\n\nThis is the first cohort in China to systematically investigate the health impacts of seasonal migration in older adults. By integrating epidemiology, multi-omics, environmental data, and health policy translation, the study seeks to improve continuity of care, strengthen climate adaptation, and promote healthy ageing.",[68,69,70,33],"Cardiovascular Diseases","Metabolic Disorders","Ageing and Geriatric Health",[68,72,73,74,75,76],"Metabolic Diseases","Geriatrics","Migration","Climate Change","Health Promotion","RECRUITING","2025-08-14",{"date":80,"type":47},"2025-08-20",{"date":82,"type":47},"2025-07-23",{"date":84,"type":23},"2030-04-30",{"name":86,"class":54},"Jinwei Tian"]