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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%.
Obesity 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.
The 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.
Current 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.
To 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.
Full description
The investigators will recruit healthy children aged 7 to 18 and healthy adults aged 30 to 60 from within the country to participate in a study to explore their energy requirements and factors.
The following measurements will be conducted in both children and adults:
Study Details Anthropometric Measurements
Blood biochemistry test and gut microbiota detection
Questionnaires
Body composition and energy expenditure
Body Composition:
Bioelectrical impedance analysis (TANITA MC-780) and DXA (Hologic, Horizon Wi)will be used to measure segmental weight (arms, legs, trunk), total body fat percentage (fat%), fat mass (FM), fat-free mass (FFM), total body water (TBW) and muscle mass.
Basal Metabolic Rate(BMR) :
Basal metabolic rate will be measured using indirect calorimetry via a Cosmed Quark system with a ventilated hood. After a 10-hour overnight fast and no strenuous activity in the preceding day, participants will lie supine under the hood for 30 minutes. Oxygen consumption and carbon dioxide production will be monitored, and the final 10 minutes will be used to calculate BMR (Weir, 1949). Equipment will be validated monthly via alcohol burn tests and turbine flow calibration.
Total Energy Expenditure:
Total energy expenditure (TEE) will be measured using the doubly labelled water (DLW) method. Urine samples will be collected and stored at -20°C, then shipped on dry ice to Dr. John Speakman's laboratory at the University of Aberdeen or to the Shenzhen Institute of Advanced Technology. Isotope ratios will be analyzed using a near-infrared isotope gas analyzer. Mean CO2 production will be calculated using equations developed by Speakman et al. (2021), and TEE will be derived using the Weir equation (1949).
Environmental Temperature Exposure:
Environmental temperature exposure will be monitored using iButton sensors (DS1921G). These will be placed in the participant's living environment (eg, on a backpack, clothing, indoor wall, or building exterior) using waterproof medical-grade adhesive. This will allow measurement of ambient temperature during the study period.
Physical Activity:
Physical activity will be monitored using ActiGraph GT3X accelerometers worn at the waist for 14 consecutive days, except during water activities (e.g., bathing or swimming). Data will be considered valid if the monitor is worn for at least 12 hours on four days, including at least two weekdays and two weekend days. The first day of wear and any day with insufficient data will be excluded from analysis.
The following additional measurements will be performed in children:
This study will provide accurate data on the energy consumption of healthy people living in China. These data will serve as a basis for estimating the country's food and energy requirements, support public health nutrition strategies, and help fill the key data gaps in the domestic DLW database.
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Exclusion criteria
Exclusion Criteria:
Malnutrient as defined by the Chinese national standards WS/T456-2014 and WS/T 586-2018
Acute illness within the past 7 days
Chronic diseases
Cardiovascular diseases
Diabetes mellitus or any form of metabolic disorders
Renal diseases
Musculoskeletal injuries
Disabilities
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Central trial contact
Jiangyan Deng, Master; Xueying Zhang, Doctor
Data sourced from clinicaltrials.gov
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