[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":355},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,15,0,[8,42,69,95,114,141,165,186,208,229,253,273,294,317,335],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":41},"100633205","the-influence-of-climate-and-air-pollution-on-physical-activity-of-chinese-people-in-shenyang-and-shenzhen-100633205",false,"NCT07523659","The Influence of Climate and Air Pollution on Physical Activity of Chinese People in Shenyang and Shenzhen","The Influence of Climate and Air Pollution on Physical Activity of Chinese People in Shenyang(41.481175ºN) and Shenzhen(22.324386ºN)","Inclusion Criteria:\n\n* Aged 18 to 55 years\n* Residing in Shenzhen or Shenyang for the entire year\n\nExclusion Criteria:\n\n* Disabilities that limit physical activity\n* Any condition preventing participation in physical activity\n* Pregnant or planning pregnancy during the study period\n* Lactating or planning to lactate during the study period",true,"ALL","18 Years","55 Years",{"count":21,"type":22},124,"ESTIMATED","OBSERVATIONAL","Physical activity (PA) refers to bodily movements that result in a significant increase in energy expenditure due to the contraction of skeletal muscles. Physical inactivity has become a major global public health concern and is currently the fourth leading cause of death worldwide. The World Health Organization (WHO) recommends that adults engage in at least 150 minutes of moderate-intensity physical activity (MPA) or 75 minutes of vigorous-intensity physical activity (VPA) per week.\n\nAlthough some studies suggest that individual differences in PA may have a genetic basis, PA is generally considered to be largely under voluntary control and influenced by climatic and environmental factors. For instance, extreme temperatures-either hot or cold-can increase health risks and reduce individuals' willingness to engage in physical activity. In addition, air pollution, particularly fine particulate matter (PM2.5), poses serious health risks. Exercising in polluted environments may trigger asthma, cardiovascular, or pulmonary conditions.\n\nSince the Industrial Revolution, fossil fuel emissions have contributed to a global surface temperature increase of approximately 1.1°C, with projections suggesting a further rise of 2.5-2.9°C by the end of the century. At the same time, PM2.5 pollution has become a pressing issue, contributing to an estimated 7 million deaths globally in 2012-over one-third of which occurred in rapidly developing Asian countries.\n\nGiven the seasonal and geographic variability in climate and air quality, physical activity levels are likely to be affected accordingly.This study aims to investigate the extent to which climatic and environmental factors influence physical activity levels and intensity.",[26,27,28],"Physical Activity","Climate","Air Pollution","RECRUITING","2026-04-08",{"date":32,"type":33},"2026-04-13","ACTUAL",{"date":35,"type":33},"2024-08-01",{"date":37,"type":22},"2026-08-31",{"name":39,"class":40},"Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences","OTHER",2,{"id":43,"slug":44,"hasResults":11,"nctId":45,"briefTitle":46,"officialTitle":46,"acronym":4,"eligibilityCriteria":47,"healthyVolunteers":16,"sex":48,"minAge":18,"maxAge":49,"enrollmentInfo":50,"targetDuration":4,"studyType":52,"phases":53,"briefSummary":55,"conditions":56,"keywords":58,"overallStatus":61,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":62,"startDateStruct":64,"completionDateStruct":66,"leadSponsor":68,"locationsCount":4},"100633765","the-relationship-between-satiety-per-calorie-spc-and-food-intake-100633765","NCT07530939","The Relationship Between Satiety Per Calorie (SPC) and Food Intake","Inclusion Criteria:\n\n* Body mass index (BMI) between 18.5 and 28 kg\u002Fm2\n* Male\n* 18-44 years old\n* Healthy\n\nExclusion Criteria:\n\n* No diabetes, infectious diseases, gastrointestinal disorders, hypoglycemia, cardiovascular or cerebrovascular diseases, mental illnesses, etc.\n* Not being allergic to common foods.\n* No special dietary habits, eating disorders, irregular eating or lifestyle patterns, or smoking and drinking habits.","MALE","44 Years",{"count":51,"type":22},40,"INTERVENTIONAL",[54],"NA","With the rapid development of the modern food industry, a large number of processed foods that heavily use refined carbohydrates and fats have emerged. These foods generally lack key components such as protein, fiber, and micronutrients, disrupting the satiety regulation system that humans developed over the course of evolution. As a result, the satiety signals provided by food are significantly mismatched with their energy content, forcing people to consume more calories to meet their basic nutritional and satiety needs. Since these processed foods are also more palatable, they further promote voluntary overeating. The 2025 World Obesity Report points out that obesity has become a global issue, and it is estimated that by 2030, over 2.9 billion adults worldwide will have a body mass index (BMI) above the normal range. The proportion of people with high BMI in China is rising and is expected to reach 5.1504 million by 2030.\n\nA new concept, Satiety Per Calorie (SPC), rates foods based on the strength of the satiety signals they generate per unit of energy. Foods with high SPC values can help people naturally reduce calorie intake while staying full; in contrast, high-calorie-dense foods like fried foods and desserts are more likely to lead to unconscious overeating. A recent animal study published in Nature Metabolism indicates that neurons in the hippocampus record the sensory experience of high-calorie foods and can trigger strong eating desires even when not hungry, leading to overconsumption. Additionally, behaviors such as eating slower and reducing external distractions during meals can enhance the perception of satiety signals and lower the risk of overeating. Evidence from a review shows that slowing down eating can reduce calorie intake. Overall, the concept of SPC helps improve modern dietary structures and provides new ideas for controlling the prevalence of obesity. However, this concept still needs further experimental validation. This study will recruit 40 male volunteers with a BMI between 18.5-28 kg\u002Fm² and aged 18-44 years, to investigate the relationship between satiety per calorie and food intake.",[57],"Healthy",[59,60],"food intake","satiety per calorie","NOT_YET_RECRUITING",{"date":63,"type":33},"2026-04-15",{"date":65,"type":22},"2026-04-10",{"date":67,"type":22},"2026-05-31",{"name":39,"class":40},{"id":70,"slug":71,"hasResults":11,"nctId":72,"briefTitle":73,"officialTitle":74,"acronym":4,"eligibilityCriteria":75,"healthyVolunteers":16,"sex":17,"minAge":76,"maxAge":77,"enrollmentInfo":78,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":80,"conditions":81,"keywords":83,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":86,"lastUpdatePostDateStruct":87,"startDateStruct":89,"completionDateStruct":91,"leadSponsor":93,"locationsCount":94},"100621510","assessment-of-food-intake-using-both-3d-scanning-method-and-a-photographic-method-100621510","NCT07371559","Assessment of Food Intake Using Both 3D Scanning Method and a Photographic Method","Assessment of Calories in the Diets Using 3D Scanning and a Photographic Method","Inclusion Criteria:\n\nRecently measured body mass index (BMI): normal control group (21.5 ≤ BMI \\\u003C 25); Recently measured body mass index (BMI): healthy underweight group (15 \\\u003C BMI ≤ 18.5); Must be able to choose the food as requested.\n\nExclusion Criteria:\n\nMetabolic diseases; Recent weight loss due to various disease causes; Ongoing treatment for weight loss; Eating disorders; Pregnant or lactating women; Infectious diseases such as HIV, Hepatitis; Diabetes mellitus.","22 Years","40 Years",{"count":79,"type":22},200,"This project aims to develop a new and more accurate method to assess energy intake in the diet by collaborating with Astravis company in Switzerland, integrating image recognition and intelligent applications, to improve the accuracy of energy assessment in the food, and to explore the application in dietary research.The researchers will recruit 200 volunteers.",[82],"Data Collection",[59,84,85],"food preference","food energy assessment","2026-01-19",{"date":88,"type":33},"2026-01-28",{"date":90,"type":22},"2026-01-31",{"date":92,"type":22},"2026-12-31",{"name":39,"class":40},1,{"id":96,"slug":97,"hasResults":11,"nctId":98,"briefTitle":99,"officialTitle":99,"acronym":4,"eligibilityCriteria":100,"healthyVolunteers":16,"sex":101,"minAge":18,"maxAge":77,"enrollmentInfo":102,"targetDuration":4,"studyType":52,"phases":104,"briefSummary":105,"conditions":106,"keywords":4,"overallStatus":61,"whyStopped":4,"lastUpdateSubmitDate":86,"lastUpdatePostDateStruct":108,"startDateStruct":110,"completionDateStruct":111,"leadSponsor":113,"locationsCount":4},"100602801","research-on-metabolic-adaptation-in-obese-people-100602801","NCT07128238","Research on \"Metabolic Adaptation\" in Obese People","Inclusion Criteria:\n\n* BMI： ≥30kg\u002Fm2 Willing to participate in an 8-week weight-loss camp program\n\nExclusion Criteria:\n\n* Metabolic or cardiovascular diseases (such as diabetes) Mental disorders (such as depression and claustrophobia) Infectious diseases (such as AIDS, tuberculosis, malaria) High blood pressure Pregnant, lactating, or prepare for pregnancy Implanted or portable electro-mechanical device Taking antihypertensive or weight-loss medications","FEMALE",{"count":103,"type":22},10,[54],"Obesity has become a global public health crisis, with 810 million adults classified as obese (BMI ≥ 30 kg\u002Fm²) worldwide in 2020. This number is projected to rise to 1.53 billion by 2035. China faces a particularly severe challenge, with one of the highest rates and fastest growth in obesity prevalence globally. Obesity is a well-established risk factor for numerous chronic diseases, including cancer, cardiovascular disease, and diabetes. As such, weight loss is essential for improving health outcomes and preventing related complications.\n\nLifestyle interventions-primarily dietary modifications and physical activity-are the cornerstone of obesity treatment, aiming to reduce weight by addressing energy intake and expenditure. Accumulating evidence indicates that energy imbalance is a key driver of obesity. However, resting metabolic rate (RMR), which accounts for approximately 60-75% of total energy expenditure, often declines during lifestyle interventions due to metabolic adaptation. This adaptive decrease in RMR can undermine weight loss efforts.\n\nWhile both body composition and core body temperature are known to influence RMR, their specific roles in metabolic adaptation during lifestyle interventions remain poorly understood. This study aims to investigate the individual contributions of changes in body composition and fluctuations in core body temperature to the observed reduction in RMR during such interventions. By combining body composition analysis and continuous core temperature monitoring, the study seeks to uncover mechanisms underlying metabolic adaptation and identify potential targets for enhancing weight loss strategies.",[107],"Body Temperature Changes",{"date":109,"type":33},"2026-01-22",{"date":88,"type":22},{"date":112,"type":22},"2027-12-31",{"name":39,"class":40},{"id":115,"slug":116,"hasResults":11,"nctId":117,"briefTitle":118,"officialTitle":119,"acronym":120,"eligibilityCriteria":121,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":77,"enrollmentInfo":122,"targetDuration":4,"studyType":52,"phases":124,"briefSummary":125,"conditions":126,"keywords":130,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":86,"lastUpdatePostDateStruct":134,"startDateStruct":136,"completionDateStruct":138,"leadSponsor":140,"locationsCount":94},"100587036","the-effect-of-exercise-on-metabolic-alteration-100587036","NCT06923163","The Effect of Exercise on Metabolic Alteration","Metabolic Response of Sedentary Participants to a Long-term Exercise Intervention","Exercise","Inclusion Criteria:\n\n* Sedentary individuals\n* BMI ≥ 18.5 kg\u002Fm2\n\nExclusion Criteria:\n\n* Individuals who have undergone major surgery in the past 6 months (excluding tooth extraction);\n* Individuals on long-term medication;\n* Individuals with metabolic and cardiovascular diseases such as diabetes, hypoglycemia, and hypertension;\n* Individuals with exercise-related injuries, including joint diseases and fractures;\n* Individuals diagnosed with infectious diseases such as HIV, tuberculosis, malaria, etc.;\n* Individuals with mental and neurological disorders including anorexia nervosa;\n* Individuals who have attempted weight loss or gain through various methods in the past three months;\n* Individuals in preconception, pregnancy, and lactation periods;\n* Individuals with autism and those with metal implants in their bodies.",{"count":123,"type":22},80,[54],"The goal of this clinical trial is to study the effectiveness of aerobic exercise in treating obesity in adults and to assess the efficacy of exercise. The primary research questions it seeks to address are as follows:\n\n* To what extent does exercise increase the total energy expenditure of participants?\n* Why and how does the energy expenditure from exercise not fully compensate for the total energy expenditure (TEE)?\n* Researchers will assess the efficacy and potential challenges of using exercise as a treatment for obesity by comparing the measurement data before exercise intervention (week 0), immediately after exercise intervention (week 12), and 8 weeks post-completion of exercise intervention (week 20).\n\nParticipants will engage in the following activities:\n\n* Engage in running sessions supervised five times a week for a duration of 12 weeks.\n* Attend laboratory sessions both before and after the exercise intervention period for metabolic and anthropometric measurements, as well as sample collection.\n* Return to the laboratory for further metabolic and anthropometric measurements and sample collection8 weeks post-completion of exercise intervention.",[127,128,129],"Sedentary Behavior","Healthy Participants","Adult",[131,132,133],"Metabolic response","Energy expenditure","Energy compensation",{"date":135,"type":33},"2026-01-21",{"date":137,"type":33},"2025-05-01",{"date":139,"type":22},"2027-12",{"name":39,"class":40},{"id":142,"slug":143,"hasResults":11,"nctId":144,"briefTitle":145,"officialTitle":146,"acronym":4,"eligibilityCriteria":147,"healthyVolunteers":16,"sex":17,"minAge":148,"maxAge":149,"enrollmentInfo":150,"targetDuration":4,"studyType":52,"phases":152,"briefSummary":153,"conditions":154,"keywords":157,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":86,"lastUpdatePostDateStruct":160,"startDateStruct":161,"completionDateStruct":163,"leadSponsor":164,"locationsCount":94},"100549321","the-association-between-core-temperature-and-health-100549321","NCT06432491","The Association Between Core Temperature and Health","Study to Explore How Core Temperature Reduction Influence Health","Inclusion Criteria:\n\n* Aged between 50 and 65 years old (including 50 and 65)\n* No surgery in the past 6 months\n* Healthy (No metabolic diseases, cardiovascular diseases, lung diseases (COPD, asthma, et al.), endocrine diseases and gastrointestinal diseases)\n* Based in Shenzhen during the whole study period\n* No significant change on body weight in the past 3 months\n\nExclusion Criteria:\n\n* Those who need to take medication for a long term (including diet pills)\n* On a diet\n* Disabled\n* Females who are trying to get pregnant, pregnant, or breastfeeding\n* Presence of a metal implant in the body (e.g. pacemaker)\n* Those with claustrophobia\n* Those with blood phobia, pathological hypotension or hypertension\n* Those who are in other intervention studies","50 Years","65 Years",{"count":151,"type":22},36,[54],"The goal of this clinical trial is to learn if cold water drinking could promote body composition and further extend healthy lifespan in Chinese older adults. The main questions it aims to answer are:\n\n1. Does cold water drinking lower the body fat percentage?\n2. Will cold water drinking positively extend lifespan in a long-term Researchers will compare cold water intervention group to a control group (drinking 37℃ water instead) to see if cold water drinking works to promote health and slow down ageing process.\n\nParticipants will:\n\n1. Drink 4℃ or 37℃ water 4 times (9a.m., 12p.m., 15p.m., 18p.m.) every day for 6 months.\n2. Visit the institute and health checkup department for tests and checkup at baseline, the end of the 3rd month, and the end of 6th month.",[107,155,156],"Body Composition","Aging",[158,159,156],"Body temperature","Body composition",{"date":135,"type":33},{"date":162,"type":33},"2025-01-01",{"date":92,"type":22},{"name":39,"class":40},{"id":166,"slug":167,"hasResults":11,"nctId":168,"briefTitle":169,"officialTitle":169,"acronym":4,"eligibilityCriteria":170,"healthyVolunteers":16,"sex":17,"minAge":171,"maxAge":172,"enrollmentInfo":173,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":175,"conditions":176,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":177,"lastUpdatePostDateStruct":178,"startDateStruct":180,"completionDateStruct":182,"leadSponsor":184,"locationsCount":185},"100606630","total-energy-expenditure-in-healthy-chinese-populations-a-nationwide-study-using-the-doubly-labelled-water-method-100606630","NCT07178054","Total Energy Expenditure in Healthy Chinese Populations: A Nationwide Study Using the Doubly Labelled Water Method","Inclusion Criteria:\n\n* Healthy participants\n\nExclusion Criteria:\n\n* Exclusion Criteria:\n\n  1. Malnutrient as defined by the Chinese national standards WS\u002FT456-2014 and WS\u002FT 586-2018\n\n     1. Nutritional deficiencies\n     2. Overweight\n     3. Obesity\n  2. Acute illness within the past 7 days\n\n     1. Fever\n     2. Diarrhea\n     3. Vomiting\n  3. Chronic diseases\n\n     1. Cardiovascular diseases\n     2. Diabetes mellitus or any form of metabolic disorders\n\n        * Type 1 or Type 2 diabetes\n        * Metabolic syndrome\n        * Hyperlipidemia\n        * Dyslipidemia\n     3. Renal diseases\n\n        * Chronic kidney disease\n        * Nephrotic syndrome\n  4. Musculoskeletal injuries\n  5. Disabilities","7 Years","60 Years",{"count":174,"type":22},240,"Between 1990 and 2022, the global prevalence of obesity more than doubled, representing a critical public health concern. China has mirrored this trend, with rapidly increasing rates of overweight and obesity across all age groups. According to the 'Report on Chinese Residents' Nutrition and Chronic Diseases (2020)', 50.7% of Chinese adults are now classified as overweight or obese. Among children and adolescents aged 6 to 17 years, data from the 'Atlas of Nutrition and Health Status of Chinese Children' indicates that the prevalence of overweight and obesity has reached 26.5%.\n\nObesity is associated with a broad spectrum of adverse health outcomes across the life course. In children, excess adiposity negatively affects skeletal maturation, neurocognitive development, and psychosocial well-being, while also increasing the likelihood of obesity and metabolic dysfunction in adulthood. In adults, obesity is a major risk factor for a range of non-communicable diseases (NCDs), including type 2 diabetes mellitus, hypertension, cardiovascular disease, non-alcoholic fatty liver disease, osteoarthritis, certain cancers, and all-cause premature mortality. Beyond its health implications, obesity imposes substantial economic and social burdens, including increased healthcare expenditure and reduced workforce productivity.\n\nThe etiology of the obesity epidemic is multifactorial and remains under active investigation. Hypotheses center around a chronic imbalance between energy intake and expenditure, driven by behavioral, environmental, and physiological factors. Notably, decreased physical activity associated with sedentary lifestyles and increased consumption of energy-dense, nutrient-poor foods have been implicated as key contributors. However, the relative contributions of reduced energy expenditure versus increased energy intake remain insufficiently quantified at the population level. Accurate assessment of total energy expenditure (TEE) is therefore essential to elucidate the energy dynamics underlying the obesity epidemic.\n\nCurrent approaches for estimating population-level energy and food requirements are often based on indirect methods with limited precision. The doubly labelled water (DLW) technique, which quantifies TEE through measurement of isotope elimination rates (\\^2H and \\^18O), remains the gold standard for assessing free-living energy expenditure. However, its application has been predominantly confined to high-income countries with well-established research infrastructure. In contrast, the use of DLW in low- and middle-income countries-including China-remains minimal, resulting in critical data gaps that hinder the development of context-specific dietary recommendations and energy requirement models.\n\nTo address these limitations, this study will apply the DLW method to measure TEE in healthy children and adults in China. In parallel, the study will assess key modulators of energy metabolism, including anthropometric and physiological parameters, gut microbiota composition, habitual physical activity, and ambient temperature exposure. The resulting dataset will provide high-resolution, population-specific evidence to inform national dietary reference intakes and support the formulation of evidence-based public health strategies aimed at obesity prevention and metabolic health promotion.",[57],"2025-09-16",{"date":179,"type":33},"2025-09-17",{"date":181,"type":33},"2025-07-01",{"date":183,"type":22},"2027-07-01",{"name":39,"class":40},7,{"id":187,"slug":188,"hasResults":11,"nctId":189,"briefTitle":190,"officialTitle":191,"acronym":4,"eligibilityCriteria":192,"healthyVolunteers":11,"sex":17,"minAge":193,"maxAge":194,"enrollmentInfo":195,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":196,"conditions":197,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":200,"lastUpdatePostDateStruct":201,"startDateStruct":203,"completionDateStruct":205,"leadSponsor":207,"locationsCount":94},"100597285","technologies-and-systems-for-assessing-human-energy-metabolism-and-nutritional-rehabilitation-100597285","NCT07056504","Technologies and Systems for Assessing Human Energy Metabolism and Nutritional Rehabilitation","Active Rehabilitation Training System for Motor and Cognitive Function Technologies and Systems for Assessing Human Energy Metabolism and Nutritional Rehabilitation","Inclusion Criteria:\n\n* Male and female participants aged 20 to 70 years old;\n* Rehabilitation patients with stroke or motor injuries;\n\nExclusion Criteria:\n\n* Loss of autonomous mobility;\n* Loss of consciousness;\n* Individuals with metallic implants (e.g., pacemakers);\n* Severe metabolic diseases (e.g., diabetes, other hereditary metabolic disorders);\n* Patients with claustrophobia;\n* Individuals with anorexia nervosa;\n* Women in the preconception period, pregnancy, or lactation;\n* Uremic patients;\n* Inability to lie flat for one hour.","20 Years","70 Years",{"count":123,"type":22},"The objective of this observational study is to integrate the doubly labeled water (DLW) database from healthy individuals with multimodal data-including, but not limited to, weight, height, age, sex, race, elevation-from cohorts undergoing rehabilitation following movement impairments or neurological injuries. Machine learning algorithms will be used to develop injury-specific predictive models of energy requirements.\n\nThe primary research question is:\n\nHow does energy metabolism change during the rehabilitation process in individuals recovering from traumatic brain injury, stroke, or major surgical procedures? To answer this, participants will undergo a comprehensive set of assessments, including measurements of height and weight, body composition, resting metabolic rate, physical activity levels, total energy expenditure, psychological health, food intake and hunger ratings, sleep quality, cognitive performance, non-invasive brain function monitoring, and gait analysis. Fecal and blood samples will also be collected for untargeted metabolomics analysis.",[198,199],"Energy Metabolism","Nutrition, Healthy","2025-08-25",{"date":202,"type":33},"2025-09-02",{"date":204,"type":33},"2025-07-09",{"date":206,"type":22},"2025-12-31",{"name":39,"class":40},{"id":209,"slug":210,"hasResults":11,"nctId":211,"briefTitle":212,"officialTitle":213,"acronym":214,"eligibilityCriteria":215,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":172,"enrollmentInfo":216,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":218,"conditions":219,"keywords":220,"overallStatus":61,"whyStopped":4,"lastUpdateSubmitDate":222,"lastUpdatePostDateStruct":223,"startDateStruct":225,"completionDateStruct":227,"leadSponsor":228,"locationsCount":94},"100603515","the-impact-of-various-exercise-intensities-on-energy-expenditure-metabolism-100603515","NCT07137520","The Impact of Various Exercise Intensities on Energy Expenditure Metabolism","An Observational Study on the Relationship Between Different Exercise Intensities and Energy Expenditure Metabolism","activity","Inclusion Criteria:\n\n* BMI ≥ 18.5 kg\u002Fm2\n\nExclusion Criteria:\n\n* Individuals who have undergone major surgery in the past 6 months (excluding tooth extraction);\n* Individuals with severe metabolic and cardiovascular diseases such as diabetes, hypoglycemia, and hypertension;\n* Individuals with exercise-related injuries, including joint diseases and fractures;\n* Individuals diagnosed with infectious diseases such as HIV, tuberculosis, malaria, etc.;\n* Individuals with mental and neurological disorders including anorexia nervosa;\n* Individuals who have attempted weight loss or gain through various methods in the past three months;\n* Individuals in preconception, pregnancy, and lactation periods;\n* Individuals with autism and those with metal implants in their bodies.",{"count":217,"type":22},100,"The goal of this observational study is to learn about the effects of physical activity in adult on metabolic response. The main question it aims to answer is:\n\n* if physical activity is unlimited to increase the total energy expenditure (TEE)?\n\nParticipants will engage in the following measurements:\n\n* Record their daily physical activity by GT3X.\n* Measure TEE by doubly-labeled water (DLW) method\n* Measure basal energy expenditure(BEE) and thermic effect of food(TEF) by respiratory chamber",[26],[131,132,221],"Physical fitness","2025-08-11",{"date":224,"type":33},"2025-08-22",{"date":226,"type":22},"2025-09-01",{"date":139,"type":22},{"name":39,"class":40},{"id":230,"slug":231,"hasResults":11,"nctId":232,"briefTitle":233,"officialTitle":234,"acronym":4,"eligibilityCriteria":235,"healthyVolunteers":16,"sex":48,"minAge":18,"maxAge":77,"enrollmentInfo":236,"targetDuration":4,"studyType":52,"phases":238,"briefSummary":239,"conditions":240,"keywords":244,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":222,"lastUpdatePostDateStruct":246,"startDateStruct":248,"completionDateStruct":250,"leadSponsor":252,"locationsCount":94},"100549323","sources-and-mechanisms-of-energy-compensation-100549323","NCT06432517","Sources and Mechanisms of Energy Compensation","Identification of the Sources and Mechanisms of Energy Compensation in Humans","Inclusion Criteria:\n\n* Healthy adults (men)\n* 18-40 years old\n* BMI (body mass index)≥18.5 kg\u002Fm2\n\nExclusion Criteria:\n\n* Those who have undergone surgery in the past 6 months.\n* People are requiring long-term medication.\n* People have metabolic diseases, like diabetes, hypoglycemia, gout, osteoporosis, et al.\n* People have digestive diseases, like gastric ulcer, pancreatitis, Intestinal obstruction, et al.\n* People have sports injury, like fracture, Joint injury, et al.\n* Those who have recently lost weight for various medical reasons (e.g. cancer, etc.).\n* People are losing weight by tablets.\n* People are suffering from infectious diseases (e.g. HIV, etc.)\n* People have blood phobia, pathological hypo or hyper tension.\n* People with impaired glucose tolerance.\n* Those who are afflicted with claustrophobia.",{"count":237,"type":22},81,[54],"Excess energy, obesity and obesity-related diseases are important global health issues. Although it is known that obesity is an issue of energy balance, the components of energy expenditure seem to be inter-related in complex non-additive ways. The aim of this study is to explore the downstream impacts of exercise on short term changes in both expenditure and energy intake. The primary question the investigators are asking is whether moderate to high intensity exercise influences the basal energy expenditure and\u002For energy intake\u002Fmacronutrient preference in young adult males? (A similar study will be performed on females in a different registration). The investigators will use a specially designed feeding table to measure energy intake and macronutrient intake, which is easy to quantify intake compensation. Basal metabolism will be measured by hood indirect calorimetry. The investigators will explore the factors that influence the level of compensation in expenditure and intake, in particular body composition. Participants will be asked to come to the lab after 10 hours fast for body composition tests including Dual Energy X-ray Absorptiometry(DXA), Magnetic Resonance Image(MRI) and Bioelectrical Impedance Analysis(BIA). They will then be asked (not) to do 30 minutes of moderate-to-vigorous exercise after an energy-limiting breakfast, during which metabolic rate levels and changes in dietary composition will be recorded by gas exchange and standardized buffet. In addition, participants' subjective hunger and preferences will also be recorded by questionnaires. Venous blood will be collected to measure metabolic and hormone factors, blood glucose will be measured by Continuous Blood Glucose Monitor (CGM).",[241,120,242,243],"Energy Expenditure","Energy Intake","Food Preferences",[133,245,243],"Energy balance",{"date":247,"type":33},"2025-08-15",{"date":249,"type":33},"2024-05-20",{"date":251,"type":22},"2025-12-30",{"name":39,"class":40},{"id":254,"slug":255,"hasResults":11,"nctId":256,"briefTitle":257,"officialTitle":258,"acronym":4,"eligibilityCriteria":259,"healthyVolunteers":16,"sex":17,"minAge":171,"maxAge":260,"enrollmentInfo":261,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":263,"conditions":264,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":265,"lastUpdatePostDateStruct":266,"startDateStruct":268,"completionDateStruct":270,"leadSponsor":272,"locationsCount":94},"100597115","total-energy-expenditure-across-the-life-course-in-low-and-middle-income-countries----chinese-children-100597115","NCT07054294","Total Energy Expenditure Across the Life Course in Low-and Middle-Income Countries -- Chinese Children","Study on Total Energy Expenditure and Its Influencing Factors in Chinese Children Aged 7-13 Years (Including Rural Areas) Using the Doubly Labelled Water Method","Inclusion Criteria:\n\n-Healthy participants\n\nExclusion Criteria:\n\n1. Malnutrient as defined by the Chinese national standards WS\u002FT 456-2014 and WS\u002FT 586-2018\n\n   1. Nutritional deficiencies\n   2. Overweight\n   3. Obesity\n2. Acute illness within the past 7 days\n\n   1. Fever\n   2. Diarrhea\n   3. Vomiting\n3. Chronic diseases\n\n   1. Cardiovascular diseases\n   2. Diabetes mellitus or any form of metabolic disorders\n\n      * Type 1 or Type 2 diabetes\n      * Metabolic syndrome\n      * Hyperlipidemia\n      * Dyslipidemia\n   3. Renal diseases\n\n      * Chronic kidney disease\n      * Nephrotic syndrome\n4. Musculoskeletal injuries\n5. Disabilities","13 Years",{"count":262,"type":22},70,"By 2050, there will be 9 billion people on earth. It will be necessary to feed them to avoid the population catastrophe predicted by Malthus 150 years ago. Yet a major issue facing governments is that the current method by which food demands are estimated is widely acknowledged as completely inaccurate. An accurate method is available. It is based on measurements of isotope elimination, called the doubly labelled water (DLW) method. In 2018, the International Atomic Energy Agency (IAEA) hosted and compiled a database of measurements using this technique. It showed that the use of the DLW method has been mostly restricted to the USA and Western Europe. It has rarely been applied across Africa and Asia. The database also focused on adults, leaving much unknown about the energy balance in children and adolescents. There is a clear need to fill this gap in knowledge, providing information that governments across Low- and Middle-Income countries can use to forecast future food demands. In China, the prevalence of overweight and obesity among children and adolescents is increasing. In 2009, 22.1% of Chinese youth aged 7-17 years were either overweight or obese, according to the China Health and Nutrition Survey. The obesity rate has increased fourfold since 1995. One of the most concerning problems is the persistence of childhood obesity into adulthood. The causes of this obesity epidemic are strongly disputed, with some suggesting it is due to increasingly sedentary lifestyles (computers, cars, phones, etc.), while others suggest it is mostly due to changing food patterns (junk food and sugar-sweetened beverages). Measuring energy expenditure in children and adolescents in China will address whether declining expenditure due to reduced physical activity is a key cause of the epidemic. Most measurements come from urban populations, leaving rural populations greatly underrepresented.",[199],"2025-07-07",{"date":267,"type":33},"2025-07-08",{"date":269,"type":22},"2025-09-15",{"date":271,"type":22},"2027-12-30",{"name":39,"class":40},{"id":274,"slug":275,"hasResults":11,"nctId":276,"briefTitle":277,"officialTitle":277,"acronym":4,"eligibilityCriteria":278,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":279,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":281,"conditions":282,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":286,"lastUpdatePostDateStruct":287,"startDateStruct":289,"completionDateStruct":291,"leadSponsor":293,"locationsCount":94},"100595097","study-on-water-turnover-of-the-chinese-population-based-on-deuterium-dilution-method-100595097","NCT07028021","Study on Water Turnover of the Chinese Population Based on Deuterium Dilution Method","Inclusion Criteria:\n\n1. Stable body weight over the past year\n2. Ability to perform normal physical activities\n\nExclusion Criteria:\n\n1. History of chronic diseases such as diabetes, liver disease, kidney disease, or any other conditions that may affect fluid metabolism\n2. Use of diuretics or other medications that influence urine output\n3. Pregnancy or breastfeeding",{"count":280,"type":22},300,"Water is essential for sustaining life and maintaining health. The human body relies on water to transport nutrients and waste products, lubricate joints, regulate body temperature, and preserve tissue structure. International research has shown that losing just 2% of body weight through water loss can impair physiological functions and reduce response capacity. Adequate water intake plays a crucial protective role in health: it helps regulate body weight, lowers the risk of chronic diseases such as cardiovascular and cerebrovascular conditions, and supports cognitive function.\n\nHowever, the common recommendation to drink eight cups of water per day lacks strong scientific evidence. Most national hydration guidelines are based on average population intake, and personalized water intake recommendations have yet to be fully developed.\n\nIn this study, the investigators will use the deuterium dilution technique to measure water turnover in volunteers. Body composition will be assessed using the TANITA MC-780, while a seven-day fluid intake diary will track daily water consumption. Physical activity levels will be monitored using GT3 devices, and environmental data-including altitude, temperature, and humidity-will be collected based on participants' locations.\n\nThe goal of this study is to collect comprehensive data on the physiological traits, environmental influences, and hydration needs of the Chinese population. This will allow for refinement and optimization of current prediction equations for water requirements. Ultimately, the investigators aim to develop a new, individualized water intake algorithm tailored to the Chinese population by quantifying the proportion of water intake relative to total water requirements.",[283,284,285],"Water Turnover","Population Water Requirements","Deuterium Dilution","2025-06-17",{"date":288,"type":33},"2025-06-19",{"date":290,"type":33},"2025-05-06",{"date":292,"type":22},"2026-10-30",{"name":39,"class":40},{"id":295,"slug":296,"hasResults":11,"nctId":297,"briefTitle":298,"officialTitle":298,"acronym":4,"eligibilityCriteria":299,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":77,"enrollmentInfo":300,"targetDuration":4,"studyType":52,"phases":302,"briefSummary":303,"conditions":304,"keywords":305,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":309,"lastUpdatePostDateStruct":310,"startDateStruct":312,"completionDateStruct":314,"leadSponsor":316,"locationsCount":94},"100570843","the-effect-of-coffee-on-energy-expenditure-and-caffeine-metabolism-100570843","NCT06712511","The Effect of Coffee on Energy Expenditure and Caffeine Metabolism","Inclusion Criteria：\n\n* Healthy adults.\n* Must be able to drink coffee.\n\nExclusion Criteria:\n\n* Diabetes.\n* Hypoglycemia.\n* Gout.\n* Osteoporosis.\n* Gastric ulcer.\n* Pancreatitis.\n* Intestinal obstruction.\n* Blood phobia.\n* Pathological hypo or hyper tension.\n* Impaired glucose tolerance.\n* Claustrophobia.\n* HIV,etc.",{"count":301,"type":22},60,[54],"Obesity is a risk factor for chronic diseases, and improving energy expenditure is a way to prevent and treat obesity. The purpose of this project is to explore the relationship between the effect of coffee on energy expenditure and caffeine metabolism, which has important significance in the rational application of caffeine.",[57],[306,307,132,308],"Coffee","Caffeine","Caffeine metabolism","2025-03-25",{"date":311,"type":33},"2025-03-27",{"date":313,"type":33},"2024-10-23",{"date":315,"type":22},"2029-12-31",{"name":39,"class":40},{"id":318,"slug":319,"hasResults":11,"nctId":320,"briefTitle":321,"officialTitle":321,"acronym":4,"eligibilityCriteria":322,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":77,"enrollmentInfo":323,"targetDuration":4,"studyType":52,"phases":325,"briefSummary":326,"conditions":327,"keywords":328,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":329,"lastUpdatePostDateStruct":330,"startDateStruct":332,"completionDateStruct":333,"leadSponsor":334,"locationsCount":94},"100570855","the-effect-of-coffee-on-people-with-high-intensity-exercise-and-the-characteristics-of-caffeine-metabolism-100570855","NCT06712667","The Effect of Coffee on People with High Intensity Exercise and the Characteristics of Caffeine Metabolism","Inclusion Criteria:\n\nHealthy adults 18-40 years old\n\nExclusion Criteria:\n\nDiabetes Hypoglycemia Gout Osteoporosis Gastric ulcer Pancreatitis Intestinal obstruction Blood phobia Pathological hypo or hyper tension Impaired glucose tolerance Claustrophobia HIV,etc.",{"count":324,"type":22},24,[54],"The purpose of this project is to explore the relationship between the effect of coffee on exercise performance and caffeine metabolism.",[57],[306,307,120,308],"2025-02-25",{"date":331,"type":33},"2025-02-26",{"date":313,"type":33},{"date":315,"type":22},{"name":39,"class":40},{"id":336,"slug":337,"hasResults":11,"nctId":338,"briefTitle":339,"officialTitle":339,"acronym":4,"eligibilityCriteria":340,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":77,"enrollmentInfo":341,"targetDuration":4,"studyType":52,"phases":342,"briefSummary":343,"conditions":344,"keywords":345,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":348,"lastUpdatePostDateStruct":349,"startDateStruct":351,"completionDateStruct":353,"leadSponsor":354,"locationsCount":94},"100549322","variation-in-the-impact-of-coffee-on-the-metabolic-rate-100549322","NCT06432504","Variation in the Impact of Coffee on the Metabolic Rate","Inclusion Criteria:\n\nHealthy adults 18-40 years old\n\nExclusion Criteria:\n\nThose who have undergone surgery in the past 6 months. People are requiring long-term medication. People have metabolic diseases, like diabetes, hypoglycemia, gout, osteoporosis, etc.\n\nPeople have digestive diseases, like gastric ulcer, pancreatitis, intestinal obstruction, etc.\n\nThose who have recently lost weight for various medical reasons ( like cancer, etc.).\n\nPeople are suffering from infectious diseases ( like HIV, etc.). People have blood phobia, pathological hypo or hyper tension. People with impaired glucose tolerance. Those who are afflicted with claustrophobia.",{"count":217,"type":22},[54],"The purpose of this study is to explore variation in the impact of coffee on metabolic rate. The investigators plan to recruit healthy participants, half male and half female.",[57],[306,307,346,347],"Metabolic rate","Caffeine clearance","2024-05-21",{"date":350,"type":33},"2024-05-29",{"date":352,"type":33},"2024-03-06",{"date":92,"type":22},{"name":39,"class":40},""]