Clustering of Cardiovascular Risk Factors and Diabetes: A Prospective Cohort Study on the Inner Mongolian Population in China

Abstract Objective To evaluate the effect of clustering of cardiovascular risk factors (CVRFs) on type 2 diabetes mellitus (T2DM) incidence and identify some high predictive clusters in the Inner Mongolian population in China. Methods A total of 1,884 Mongolian individuals aged 20 years or above were followed up from 2002 to 2013 and included in the final analysis. We categorized the participants into two subgroups according to the study outcome event. A Cox proportional hazards model was used to evaluate the effect of clustering of CVRFs on the incidence of T2DM. Areas under the curve were used to compare the effect of every cluster on T2DM and identify those having higher predictive value. Results We found 203 persons with T2DM. Subjects with incident T2DM tended to be older, had a higher prevalence of drinking, had higher systolic and diastolic pressures; total cholesterol, triglyceride, low-density lipoprotein cholesterol, and C-reactive protein levels; waist circumference; body mass index; and heart rate and lower HDL-C level than did those without T2DM. The multivariable adjusted hazard ratio (95% confidence interval) of T2DM was calculated based on comparisons with subjects with 0 CVRFs; in participants with 2 and ≥ 3 factors, the adjusted hazard ratios were 2.257 (1.448, 3.518) and 3.316 (2.119, 5.188), respectively. Conclusion The clustering of CVRFs increased the risk of T2DM. On the basis of fast heart rate, the cluster of abdominal obesity and other CVRFs had higher predictive value for T2DM than the other three CVRF clusters.