Visceral Fat Mass Has Stronger Associations with Diabetes and Prediabetes than Other Anthropometric Obesity Indicators among Korean Adults
Yonsei Medical Journal
;
: 674-680, 2016.
Article
in English
| WPRIM
| ID: wpr-21846
ABSTRACT
PURPOSE:
This study determined which obesity measurement correlates the best with diabetes and prediabetes. MATERIALS ANDMETHODS:
This cross-sectional study enrolled 1603 subjects (611 men, 992 women; age 30-64 years) at the Cardiovascular and Metabolic Diseases Etiology Research Center. Body mass index, waist circumference, waist-height ratio, waist-hip ratio, waist-thigh ratio, and visceral fat were used as measures of obesity. Visceral fat was acquired using dual-energy X-ray absorptiometry (DXA). The prevalences of diabetes and prediabetes were defined using the criteria in the American Diabetes Association 2015 guidelines.RESULTS:
After adjusting for age and other potential confounding factors, participants with a visceral fat mass in the upper 10th percentile had a higher odds ratio (OR) for diabetes and prediabetes than the upper 10th percentile of other adiposity indices [men, OR=15.9, 95% confidence interval (CI)=6.4-39.2; women, OR=6.9, 95% CI=3.5-13.7]. Visceral fat mass also had the highest area under the curve with diabetes and prediabetes in both men (0.69, 95% CI=0.64-0.73) and women (0.70, 95% CI=0.67-0.74) compared to other anthropometric measurements of obesity.CONCLUSION:
Visceral fat mass measured using DXA is an indicator of diabetes or prediabetes, due to its ability to differentiate between abdominal visceral and subcutaneous fat.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Prediabetic State
/
Biomarkers
/
Absorptiometry, Photon
/
Body Mass Index
/
Odds Ratio
/
Anthropometry
/
Prevalence
/
Cross-Sectional Studies
/
Prospective Studies
/
Asian People
Type of study:
Etiology study
/
Observational study
/
Prevalence study
/
Prognostic study
/
Risk factors
Limits:
Adult
/
Female
/
Humans
/
Male
Country/Region as subject:
Asia
Language:
English
Journal:
Yonsei Medical Journal
Year:
2016
Type:
Article
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