[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"health-behavior-change\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:health-behavior-change":30},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,52,89],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":32,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":40,"lastUpdatePostDateStruct":41,"startDateStruct":44,"completionDateStruct":46,"leadSponsor":48,"locationsCount":51},"100605285","healthy-children-healthy-communities-effectiveness-of-a-multilevel-rural-community-engagement-model-for-improving-childrens-dietary-intake-in-family-child-care-homes-100605285",false,"NCT07160530","Healthy Children, Healthy Communities: Effectiveness of a Multilevel Rural Community Engagement Model for Improving Children's Dietary Intake in Family Child Care Homes","Cluster Randomized Controlled Trial of a Multilevel Rural Community Engagement Model for Improving Children's Dietary Intake in Family Child Care Homes","Inclusion Criteria:\n\nFCCH Settings:\n\n* Licensed family child care home-based early child care and education settings\n* Located in Nebraska (with potential expansion to Iowa, Kansas, South Dakota, Oklahoma, Illinois, and\u002For Northwest Missouri if needed)\n* Participate in the Child and Adult Care Food Program (CACFP)\n* Care for at least 2 preschool-aged non-sibling children (3-5 years old) without feeding disorders or developmental delays\n* Provide meals and snacks to attending children\n* Located in a county designated as nonmetropolitan based on the 2023 Rural-Urban Continuum Codes (RUCC)\n\nFCCH Providers:\n\n* Currently caring for at least two 3-5 year old non-sibling children who do not have dietary restrictions or feeding disorders that impact how they eat\n* Present with children during meals and snacks\n* Over the age of 19 years\n* Have not participated in this study before\n\nChildren:\n\n* Between 3 to 5 years old\n* No dietary restrictions or feeding disorder that impact how they eat (lactose intolerance, egg\u002Fnut allergies, or vegetarian diet are acceptable)\n* Typically developing children (no diagnosis of developmental delays as identified by childcare providers)\n* Have a parent or guardian 19 years of age or older to consent for them\n\nExclusion Criteria:\n\nFCCH Providers:\n\n* FCCH provider closes the business\n* FCCH provider stops serving meals to children\n* FCCH provider discontinues participation in CACFP and no longer adheres to CACFP meal pattern requirements\n* FCCH provider loses all eligible study children due to children leaving care, developing developmental delays or feeding disorders, or other reasons making them ineligible\n\nChildren:\n\n* Diagnosis of dietary restrictions or feeding disorder that impact how they eat (soft diet requirements or difficulty swallowing that impacts how they eat)\n* Diagnosis of developmental delays\n* A sibling of a participating child (only one 3-5 year old child per family eligible)",true,"ALL","3 Years",{"count":20,"type":21},360,"ESTIMATED","INTERVENTIONAL",[24],"NA","The purpose of this study is to find out whether a program called \"Healthy Children, Healthy Communities\" can help young children in rural areas eat healthier and improve their health. The study focuses on children ages 3 to 5 who attend family childcare homes in rural communities.\n\nThe main goal is to see if the program can:\n\nHelp children eat healthier foods, like more fruits and vegetables.\n\nSupport childcare providers in using positive mealtime practices that encourage healthy eating.\n\nThe study will involve about 120 licensed family childcare providers in rural areas who participate in the Child and Adult Care Food Program (CACFP), along with about 240 children they care for.\n\nChildcare providers will be randomly placed into one of two groups:\n\nEAT Family Style Group (Intervention Group):\n\nComplete 7 online training modules over 16 weeks about healthy mealtime practices.\n\nJoin 7 individual coaching sessions on Zoom.\n\nRecord short videos of their mealtimes to get personalized feedback from a coach.\n\nWork with a coach to set goals and make plans to improve mealtimes.\n\nReceive printed materials and conversation cards to use during meals.\n\nSome providers may join Zoom interviews to share their experiences.\n\nBetter Kid Care Group (Comparison Group):\n\nComplete 10 online modules about general childcare topics like child development, oral health, play, and managing a childcare home.\n\nFor both groups, the research team will:\n\nAsk providers to fill out online surveys about how mealtimes work in their childcare homes.\n\nVisit the childcare homes to observe and record children's mealtimes on two days at each data collection point.\n\nMeasure the height and weight of participating children.\n\nUse a painless skin scanner (Veggie Meter) to check how many fruits and vegetables children have been eating.\n\nAsk providers to complete surveys about the children's eating habits.\n\nThe study focuses on rural, low-income communities, where children are at higher risk of having poor diets and obesity compared to children in urban areas. Information will be collected at the start of the study, after 16 weeks, and again after 24 weeks to see if there are lasting changes.",[27,28,29,30,31],"Childhood Obesity Pevention","Diet Quality","Feeding Behaviors","Health Behavior Change","Rural Health",[33,34,35,36,37,38],"Rural population","Feeding Behavior","Child Care","Child Feeding","Carotenoids","Body Mass Index","RECRUITING","2026-04-16",{"date":42,"type":43},"2026-04-20","ACTUAL",{"date":45,"type":43},"2025-09-25",{"date":47,"type":21},"2029-05-31",{"name":49,"class":50},"University of Nebraska Lincoln","OTHER",1,{"id":53,"slug":54,"hasResults":11,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":58,"eligibilityCriteria":59,"healthyVolunteers":11,"sex":17,"minAge":60,"maxAge":61,"enrollmentInfo":62,"targetDuration":4,"studyType":22,"phases":64,"briefSummary":65,"conditions":66,"keywords":71,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":88},"100601493","ambient-air-and-noise-effect-on-cardiovascular-health-risk-and-lifestyle-intervention-to-attenuate-it-metsgreen-100601493","NCT07111208","Ambient Air and Noise Effect on Cardiovascular Health Risk and Lifestyle Intervention to Attenuate It (METSGREEN)","Noise and\u002For Ultrafine Particulate Matter Induced Cerebral and Cardiovascular Damage: Experimental and Epidemiological Studies (MARKOPOLO) and Lifestyle Intervention to Attenuate Cardiovascular Health Risk (METSGREEN)","METSGREEN","Inclusion Criteria:\n\n* Age 45-64 years\n* Residence in Kaunas City\n* Presence of metabolic disorder indicators (e.g., increased waist circumference and\u002For elevated blood pressure)\n* Willingness to participate and provide written informed consent\n* Agreement to wear a wristband sensor continuously for 7 days\n\nExclusion Criteria:\n\n* Unstable angina or cardiomyopathy\n* Blood pressure \\>160\u002F110 mmHg\n* Neurological diseases or limited mobility\n* Presence of a cardiac pacemaker\n* Pregnancy\n* Alcohol dependence","45 Years","64 Years",{"count":63,"type":21},180,[24],"This study, combining both an observational study and an interventional clinical trial, aims to assess how exposure to ultrafine particulate matter (PM0.1) and noise pollution affects the risk of cardiovascular diseases and metabolic disorders in 45-64-year-old residents of Kaunas City, and whether lifestyle interventions-specifically physical activity in green spaces and the Mediterranean diet-can help reduce these risks.\n\nIn the observational part, approximately 1,000 randomly selected 45-64 years men and women living in private households will complete an anonymous online health and lifestyle questionnaire. The clinical interventional trial will include 180 participants, who agreed to participate in the clinical study and, who meet specific health criteria. The main questions the study seeks to answer are: whether increased exposure to PM0.1 and noise is linked to higher cardiovascular and metabolic risk; and whether short-term healthy lifestyle changes can improve biological markers associated with these conditions.\n\nParticipants in the clinical trial will be randomly assigned to one of three groups: (1) control group continuing usual habits, (2) physical activity group at least 30-minute daily walks in green spaces, or (3) group adherence to a Mediterranean diet. They will have two visits to the clinic for health surveys:\n\n* Wear a wristband sensor for 7 days to monitor physical activity, heart rate, and sleep quality\n* Visit a clinic on Day 1 and Day 8 for measurements (blood pressure, waist circumference, body composition) and give blood samples for biomarker analysis.\n\nThis research will provide new evidence on environmental health risks and practical recommendations for reducing the burden of metabolic and cardiovascular diseases.",[67,68,69,70,30],"Cardiovascular Diseases (CVD)","Metabolic Syndrome","Air Pollution Exposure","Environmental Exposure",[72,73,74,75,76,77,78],"ultrafine particles","noise pollution","cardiovascular risk","metabolic syndrome","physical activity","Mediterranean diet","environmental exposure","2025-11-21",{"date":81,"type":43},"2025-11-28",{"date":83,"type":43},"2025-10-24",{"date":85,"type":21},"2028-12",{"name":87,"class":50},"Regina Grazuleviciene",2,{"id":90,"slug":91,"hasResults":11,"nctId":92,"briefTitle":93,"officialTitle":94,"acronym":4,"eligibilityCriteria":95,"healthyVolunteers":16,"sex":17,"minAge":96,"maxAge":97,"enrollmentInfo":98,"targetDuration":4,"studyType":22,"phases":99,"briefSummary":100,"conditions":101,"keywords":4,"overallStatus":39,"whyStopped":4,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":109,"completionDateStruct":111,"leadSponsor":113,"locationsCount":51},"100548593","smart-mhealth-strategy-for-physical-activity-and-health-promotion-100548593","NCT06423014","Smart mHealth Strategy for Physical Activity and Health Promotion","Smart mHealth Strategy in the Delivery of Behavior Change Techniques for Physical Activity and Health Promotion","Inclusion Criteria:\n\nAdults who is the age of majority, with insufficient physical activity, and a sedentary lifestyle who have smartphones\n\nExclusion Criteria:\n\n* Individuals' health conditions may affect physical activity in daily living and the experiment, such as disability, serious health problems\n\n  * There are unconventional life plans during the experiment, such as going abroad for vacation, pregnancy, and surgery.\n\n    * Individuals have using experiences in any wearable physical activity trackers in the past six months ④ People who have ever had severe allergies to any wearable device ⑤ Professional athletes or student-athletes","18 Years","70 Years",{"count":20,"type":21},[24],"The purpose of this study is to develop a Smart mHealth Strategy that delivers behavior change techniques through wearable physical activity trackers and social media chatbots, including self-monitoring, real-time feedback and reminders, goal-setting, competition and rewards, social support, and health coaching. This study also aims to explore the effect of the Smart mHealth Strategy on the behavioral outcomes and psychological factors of physical activity, and physical and mental health. The study design is a three-stage randomized controlled trial. In each stage, 120 are recruited and randomly assigned to control and experimental groups. Participants are adults with insufficient physical activity and a sedentary lifestyle. The Smart mHealth Strategy uses smartwatches and self-developed chatbots. The constrained dialogue content is designed to finally deliver the six behavior change techniques. Data are collected in the pre-, mid-, and post-tests. The measurement includes self-administered questionnaires, Actigraphy GT9X, Inbody 270S, OMRON HEM-7130, and heart rate variability monitors.",[30,102,103,104,105],"Wearable Technology","Chatbot","Social Media","Sedentary Lifestyle","2024-05-15",{"date":108,"type":43},"2024-05-21",{"date":110,"type":43},"2023-05-01",{"date":112,"type":21},"2026-12",{"name":114,"class":50},"Taipei Medical University"]