Actively Recruiting

Age: 7Years - 60Years
All Genders
Healthy Volunteers
NCT07178054

Total Energy Expenditure in Healthy Chinese Populations: A Nationwide Study Using the Doubly Labelled Water Method

Led by Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences · Updated on 2025-09-17

240

Participants Needed

7

Research Sites

104 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

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.

CONDITIONS

Official Title

Total Energy Expenditure in Healthy Chinese Populations: A Nationwide Study Using the Doubly Labelled Water Method

Who Can Participate

Age: 7Years - 60Years
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Healthy participants
Not Eligible

You will not qualify if you...

  • Malnutrition as defined by Chinese national standards, including nutritional deficiencies, overweight, or obesity
  • Acute illness within the past 7 days such as fever, diarrhea, or vomiting
  • Chronic diseases including cardiovascular diseases, diabetes (Type 1 or 2), metabolic syndrome, hyperlipidemia, dyslipidemia, renal diseases like chronic kidney disease or nephrotic syndrome
  • Musculoskeletal injuries
  • Disabilities

AI-Screening

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Trial Site Locations

Total: 7 locations

1

The First Affiliated Hospital of Chongqing Medical University

Chongqing, Chongqing Municipality, China, 400016

Not Yet Recruiting

2

Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences

Shenzhen, Guangdong, China, 518055

Not Yet Recruiting

3

The First Affiliated Hospital of Hainan Medical University

Haikou, Hainan, China, 570102

Not Yet Recruiting

4

The Affiliated Hospital of Inner Mongolia Medical University

Hohhot, Inner Mongolia, China, 010050

Not Yet Recruiting

5

The Fourth Affiliated Hospital of China Medical University

Shenyang, Liaoning, China, 110032

Actively Recruiting

6

Qingdao Center Hospital of Rehabilitation University

Qingdao, Shandong, China, 266042

Not Yet Recruiting

7

Tacheng Prefecture People's Hospital

Tacheng, Xinjiang, China, 834700

Not Yet Recruiting

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Research Team

X

Xueying Zhang, Doctor

CONTACT

J

Jiangyan Deng, Master

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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