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Normal-Weight Central Obesity: Implications for Total and Cardiovascular Mortality
Central obesity in normal-weight adults significantly increases mortality risk. This finding highlights the importance of body fat distribution beyond body mass index (BMI) for long-term survival.
Area of Science:
- Cardiovascular Health
- Obesity Research
- Public Health
Background:
- The association between central obesity and survival in normal body mass index (BMI) adults remains unclear.
- Central obesity, characterized by excess abdominal fat, is a growing public health concern.
- Understanding its impact on mortality is crucial for targeted health interventions.
Purpose of the Study:
- To investigate the risks of total and cardiovascular mortality linked to central obesity in individuals with a normal BMI.
- To compare mortality risks between normal-weight central obesity and obesity defined solely by BMI.
- To elucidate the role of body fat distribution in predicting survival outcomes.
Main Methods:
- Utilized data from the Third National Health and Nutrition Examination Survey (NHANES III).
- Employed a stratified multistage probability sampling design for a representative adult cohort (n=15,184).
- Applied multivariable Cox proportional hazards models to assess mortality risks associated with BMI and waist-to-hip ratio (WHR).
Main Results:
- Normal-weight individuals with central obesity exhibited the poorest long-term survival rates.
- Men with normal BMI and central obesity had significantly higher total mortality risk (HR, 1.87) compared to normal BMI without central obesity.
- Women with normal-weight central obesity also showed increased mortality risk (HR, 1.48) compared to normal BMI without central obesity.
Conclusions:
- Body fat distribution, specifically central obesity identified by WHR, is a critical predictor of mortality, independent of BMI.
- Normal-weight central obesity is associated with higher mortality risks than BMI-defined obesity.
- These findings underscore the importance of assessing body fat distribution in clinical practice for accurate risk stratification.
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