Background We investigated the association between body composition changes and new-onset diabetes mellitus (DM) development according to the body mass index (BMI) in a longitudinal setting in the general Korean population.
Methods From 2010 to 2011 (1st) and 2012 to 2013 (2nd), we included 1,607,508 stratified random sample participants without DM from the National Health Insurance Service-Health Screening dataset of Korean. The predicted appendicular skeletal muscle mass index (pASMMI), body fat mass index (pBFMI), and lean body mass index (pLBMI) were calculated using pre-validated anthropometric prediction equations. A prediction equation was constructed by combining age, weight, height, waist circumference, serum creatinine levels, alcohol consumption status, physical activity, and smoking history as variables affecting body composition.
Results Decreased pASMMI (men: hazard ratio [HR], 0.866; 95% confidence interval [CI], 0.830 to 0.903; P<0.001; women: HR, 0.748; 95% CI, 0.635 to 0.881; P<0.001), decreased pLBMI (men: HR, 0.931; 95% CI, 0.912 to 0.952; P<0.001; women: HR, 0.906; 95% CI, 0.856 to 0.959; P=0.007), and increased pBFMI (men: HR, 1.073; 95% CI, 1.050 to 1.096; P<0.001; women: HR, 1.114; 95% CI, 1.047 to 1.186; P=0.007) correlated with the development of new-onset DM. Notably, only in the overweight and obese BMI categories, decreases in pASMMI and pLBMI and increases in pBFMI associated with new-onset DM, regardless of gender.
Conclusion Decreased pASMMI and pLBMI, and increased pBFMI with excess fat accumulation may enhance the risk of newonset DM. Therefore, appropriate changes in body composition can help prevent new-onset DM.
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BACKGROUND The ADA has proposed a new diagnostic criteria for diabetes based on fasting plasma glucose, redefining diabetes as fasting plasma glucose 7.0 mmol/L. Since only a few studies for the appropriateness of tbis new ADA criteria were undertaken in the Korean population, we examined the appropriateness of the new ADA criteria by analyzing the results of oral glucose tolerance tests done in our hospital. METHODS: 507 oral glucose tolerance tests were conducted. Cases with diabetes and diseases that could affect the glucose tolerance were excluded. Plasma glucose was measured by the hexokinase method. Three groups of NGT, IGT, and DM by the WHO criteria of 2 hour-plasma glucose were redivided at each level of fasting plasma glucose. We calculated the sensitivity and specificity of each level of fasting plasma glucose (FPG), and the FPG value of maximum accuracy to diagnose diabetes with reference to the WHO criteria of 2 hour-plasma glucose. RESULTS: Correlation between the levels of fasting plasma glucose and 2 hour-plasma glucose was relatively low (r=0.676). FPG of 7.0 mmol/L for diagnosing diabetes was relatively specific (specificity=0.934), but not sensitive (sensitivity= 0.552). FPG value of maximum accuracy for diagnosing diabetes was 6.8 mmol/L. 39 % of IFG (> 6.1mmol/L and < 7.0mmol/L) was reclassified as diabetes by the criteria of 2 hour plasma glucose 11.1 mmol/L and 34 % of NFG (<6.1mmol/L) was reclassified as impaired glucose tolerance by the criteria of 2 hour plasma glucose > 7.8 mmol/L. CONCLUSION: The fasting plasma glucose of 7.0 mmol/L was relatively specific for diagnosing diabetes. However, the new ADA criteria tended to underestimate the prevalence of diabetes and impaired glucose tolerance in the Korean population. Therefore, oral glucose tolerance test may be needed to diagnose diabetes in high risk subjects. Large-scale cross-sectional and prospective studies will be needed to clarify these points.