Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Research on "Metabolic Adaptation" in Obese People

Shenzhen Institutes of Advanced Technology ,Chinese Academy of Sciences · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
na
Obesity has become a global public health crisis, with 810 million adults classified as obese (BMI ≥ 30 kg/m²) 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. Lifestyle 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. While 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.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 851991
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive