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Metabolic Syndrome Components and Cancer Risk in Normal-Weight Subjects: Systematic Review and Meta-Analysis in over
Yasmin Ezzatvar1,2, Jorge Olivares-Arancibia3, Jacqueline Páez-Herrera4
1Vicerrectoría de Investigación y Postgrado, Universidad de Los Lagos, Osorno 8050000, Chile.
Metabolically unhealthy normal-weight individuals face a 20% increased cancer risk compared to healthy peers. Specific metabolic issues like central obesity and poor glucose control are key drivers of this elevated cancer risk.
Area of Science:
- Metabolic health and cancer epidemiology
- Obesity-related cancer research
Background:
- Metabolic abnormalities may increase cancer risk independently of body weight.
- The role of metabolically unhealthy normal-weight (MUNW) individuals in cancer risk requires further clarification.
Purpose of the Study:
- To determine if MUNW individuals have a higher cancer risk than metabolically healthy normal-weight individuals.
- To analyze cancer risk variations across obesity-related cancer types.
- To identify specific metabolic components predicting cancer risk in normal-weight individuals.
Main Methods:
- Systematic literature search of PubMed, EMBASE, and Web of Science databases up to July 2025.
- Inclusion of longitudinal studies on normal-weight adults classified by metabolic health status.
- Pooled analysis of Hazard Ratios (HR) using a random-effects model.
Main Results:
- Thirty-five studies with over 18 million participants revealed MUNW individuals have a 20% higher cancer risk (HR=1.20).
- Significant risk increases observed for gastric (HR=1.40), pancreatic (HR=1.37), and colorectal cancers (HR=1.34).
- Central adiposity and glucose metabolism abnormalities independently increased cancer risk by 20% (HR=1.20) and 23% (HR=1.23), respectively.
Conclusions:
- Metabolically unhealthy normal-weight individuals face a significantly elevated cancer risk.
- Central adiposity and impaired glucose regulation are key metabolic factors associated with increased cancer risk in normal-weight individuals.
- Routine metabolic screening and phenotyping are vital for identifying at-risk individuals.
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