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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.
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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| Measure | Description | Time Frame |
|---|---|---|
| Height | Height in meters will be measured by Leicester stadiometer (Seca 217, Germany) and reported to two decimal places. | About 3 minutes. |
| Weight | Weight in kilograms will be measured by TANITA. | About 5 minutes. |
| BMI | BMI values in kg/m2 will be calculated from weight measured by TANITA and height measured by Leicester stadiometer (Seca 217, Germany). | About 10 minutes (calculated) |
| Fat mass | Fat mass in kilograms will be measured by TANITA. | About 3 minutes. |
| Fat percentage | Fat percentage will be measured by TANITA. | About 3 minutes. |
| Fat-free mass | Fat-free mass in kilograms will be measured by TANITA. | About 3 minutes. |
| Muscle mass | Muscle mass in kilograms will be measured by TANITA. | About 3 minutes. |
| Total body water | Total body water in kilograms will be measured by TANITA. | About 3 minutes. |
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Inclusion Criteria:
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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The research participants will consist of healthy adults aged 30 to 60 and healthy children aged 7 to 18 years who exhibit normal growth and development. All participants are neither overweight nor obese, nor will they have any nutritional deficiencies. They will be capable of cooperating to complete all necessary measurements. None of these participants has been diagnosed with chronic diseases, musculoskeletal injuries or disabilities. Moreover, all participants will be free from acute clinical diseases at least seven days prior to the study.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xueying Zhang, Doctor | Contact | 18201296155 | zhangxy@siat.ac.cn | |
| Jiangyan Deng, Master | Contact | 17381368352 | djylvv@163.com |
| Name | Affiliation | Role |
|---|---|---|
| Xueying Zhang, PhD | Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Affiliated Hospital of Chongqing Medical University | Not yet recruiting | Chongqing | Chongqing Municipality | 400016 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33665639 | Background | Speakman JR, Yamada Y, Sagayama H, Berman ESF, Ainslie PN, Andersen LF, Anderson LJ, Arab L, Baddou I, Bedu-Addo K, Blaak EE, Blanc S, Bonomi AG, Bouten CVC, Bovet P, Buchowski MS, Butte NF, Camps SGJA, Close GL, Cooper JA, Creasy SA, Das SK, Cooper R, Dugas LR, Ebbeling CB, Ekelund U, Entringer S, Forrester T, Fudge BW, Goris AH, Gurven M, Hambly C, El Hamdouchi A, Hoos MB, Hu S, Joonas N, Joosen AM, Katzmarzyk P, Kempen KP, Kimura M, Kraus WE, Kushner RF, Lambert EV, Leonard WR, Lessan N, Ludwig DS, Martin CK, Medin AC, Meijer EP, Morehen JC, Morton JP, Neuhouser ML, Nicklas TA, Ojiambo RM, Pietilainen KH, Pitsiladis YP, Plange-Rhule J, Plasqui G, Prentice RL, Rabinovich RA, Racette SB, Raichlen DA, Ravussin E, Reynolds RM, Roberts SB, Schuit AJ, Sjodin AM, Stice E, Urlacher SS, Valenti G, Van Etten LM, Van Mil EA, Wells JCK, Wilson G, Wood BM, Yanovski J, Yoshida T, Zhang X, Murphy-Alford AJ, Loechl CU, Melanson EL, Luke AH, Pontzer H, Rood J, Schoeller DA, Westerterp KR, Wong WW; IAEA DLW database group. A standard calculation methodology for human doubly labeled water studies. Cell Rep Med. 2021 Feb 16;2(2):100203. doi: 10.1016/j.xcrm.2021.100203. eCollection 2021 Feb 16. | |
| 15394301 |
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Urine samples will be collected from children and adults over a 14-day period following the administration of doubly labelled water (DLW). The analysis of oxygen-18 and deuterium in these urine samples will be used to calculate the total energy expenditure of the children and the adults.
| Waist circumference |
Waist circumference(measured in centimeters) will be obtained using a flexible tape measure following standardized protocols. |
| About 5 minutes. |
| Hip circumference | Hip circumference(measured in centimeters) will be obtained using a flexible tape measure following standardized protocols. | About 5 minutes. |
| Thigh circumference | Thigh circumference(measured in centimeters) will be obtained using a flexible tape measure following standardized protocols. | About 5 minutes. |
| Neck circumference | Neck circumference(measured in centimeters) will be obtained using a flexible tape measure following standardized protocols. | About 5 minutes. |
| Blood pressure | Blood pressure will be measured using a standardized blood pressure monitor, with recordings of both systolic and diastolic values. | About 10 minutes. |
| Heart rate | Heart rate will be measured in using a standardized blood pressure monitor. | About 10 minutes. |
| Abdominal fat | Abdominal fat will be measured in using a portable ultrasound device (DW-360). | About 20 minutes. |
| Bone mineral density | Bone mineral density will be measured using the Dual-energy X-ray Absorptiometry (DXA) device. | About 20 minutes. |
| Mid-upper arm circumference | Mid-upper arm circumference (measured in centimeters) will be obtained using a flexible tape measure following standardized protocols. | About 5 minutes. |
| Grip strength | Grip strength will be obtained using a dynamometer(CAMRY, EH101). | About 5 minutes. |
| Skin carotenoid concentration | Skin carotenoid concentration will be measured in using the Veggie Meter,and the results will be expressed as Standard Point Score (SPS), typically ranging from 0 to 800 SPS. Higher SPS values indicate higher skin carotenoid concentration. | About 5 minutes. |
| Red Blood Cell Count | Red blood cell count will be measured in fasting blood samples. | About 10 minutes. |
| White Blood Cell Count | White blood cell count will be measured in fasting blood samples. | About 10 minutes. |
| Hemoglobin | Hemoglobin concentration will be measured in fasting blood samples, reported in grams per liter (g/L). | About 10 minutes. |
| Total Cholesterol | Total cholesterol concentration will be measured in fasting blood samples, reported in millimoles per liter (mmol/L). | About 10 minutes. |
| Triglycerides | Triglycerides concentration will be measured in fasting blood samples, reported in millimoles per liter (mmol/L). | About 10 minutes. |
| High-Density Lipoprotein Cholesterol | High-density lipoprotein cholesterol (HDL-C) concentration will be measured in fasting blood samples, reported in millimoles per liter (mmol/L). | About 10 minutes. |
| Low-Density Lipoprotein Cholesterol | Low-density lipoprotein cholesterol (LDL-C) concentration will be measured in fasting blood samples, reported in millimoles per liter (mmol/L). | About 10 minutes. |
| Alanine Aminotransferase | Alanine aminotransferase (ALT) activity will be measured in fasting blood samples, reported in units per liter (U/L). | About 10 minutes. |
| Aspartate Aminotransferase | Aspartate aminotransferase (AST) activity will be measured in fasting blood samples, reported in units per liter (U/L). | About 10 minutes. |
| Total Bilirubin | Total bilirubin concentration will be measured in fasting blood samples, reported in micromoles per liter (μmol/L). | About 10 minutes. |
| Direct Bilirubin | Direct bilirubin concentration will be measured in fasting blood samples, reported in micromoles per liter (μmol/L). | About 10 minutes. |
| Indirect Bilirubin | Indirect bilirubin concentration will be measured in fasting blood samples, reported in micromoles per liter (μmol/L). | About 10 minutes. |
| Blood Urea Nitrogen | Blood urea nitrogen (BUN) concentration will be measured in fasting blood samples, reported in millimoles per liter (mmol/L). | About 10 minutes. |
| Serum Uric Acid | Serum uric acid concentration will be measured in fasting blood samples, reported in micromoles per liter (μmol/L). | About 10 minutes. |
| Serum Creatinine | Serum creatinine concentration will be measured in fasting blood samples, reported in micromoles per liter (μmol/L). | About 10 minutes. |
| Vitamin D levels | Vitamin D levels will be obtained by collecting blood samples. | About 10 minutes. |
| Gut microbiota | Gut microbiota will be obtained by collecting fecal samples. | About 10 minutes. |
| Secondary sexual characteristics | The Tanner stages are used to assess the development of secondary sexual characteristics and are divided into five stages. For boys, the evaluation includes pubic hair development and genital development (including testicular and penile growth). For girls, the evaluation includes pubic hair development and breast development (thelarche). | About 5 minutes. |
| Basal metabolic rate | The basal metabolic rate in kcal or MJ will be measured by respiratory indirect calorimetry (Cosmed). | About 30 minutes. |
| Total energy expenditure | Total energy expenditure in kcal or MJ will be measured using the DLW method. TEE will then be calculated using mean CO2 production using the Weir equation. | About 14 days. |
| Environmental temperature | The iButton (DS1921G) monitors will be provided for the assessment of both indoor and outdoor temperature of their living environment, measured in degrees Celsius (°C). | About 14 days. |
| Physical activity energy expenditure | Physical activity energy expenditure will be recorded using a GT3X accelerometer worn at the waist for a consecutive period of 14 days, with results expressed in kilocalories (kcal) or megajoules (MJ) per day. | About 14 days. |
| Total moderate-to-vigorous physical activity (MVPA) | Total MVPA will be recorded using a GT3X accelerometer worn at the waist for a consecutive period of 14 days, with results expressed in minutes per day (min/day). | About 14 days. |
| Vector magnitude counts | Vector magnitude counts will be recorded using a GT3X accelerometer worn at the waist for a consecutive period of 14 days, with results expressed as counts per minute (cpm). Higher cpm values indicate greater overall physical activity intensity, reflecting the average level of movement during the monitoring period. | About 14 days. |
| Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences | Not yet recruiting | Shenzhen | Guangdong | 518055 | China |
|
| The First Affiliated Hospital of Hainan Medical University | Not yet recruiting | Haikou | Hainan | 570102 | China |
|
| The Affiliated Hospital of Inner Mongolia Medical University | Not yet recruiting | Hohhot | Inner Mongolia | 010050 | China |
|
| The Fourth Affiliated Hospital of China Medical University | Recruiting | Shenyang | Liaoning | 110032 | China |
|
| Qingdao Center Hospital of Rehabilitation University | Not yet recruiting | Qingdao | Shandong | 266042 | China |
|
| Tacheng Prefecture People's Hospital | Not yet recruiting | Tacheng | Xinjiang | 834700 | China |
|
| Background |
| WEIR JB. New methods for calculating metabolic rate with special reference to protein metabolism. J Physiol. 1949 Aug;109(1-2):1-9. doi: 10.1113/jphysiol.1949.sp004363. No abstract available. |