PMID- 30423276 OWN - NLM STAT- MEDLINE DCOM- 20190213 LR - 20190215 IS - 0895-3988 (Print) IS - 0895-3988 (Linking) VI - 31 IP - 10 DP - 2018 Oct TI - Clustering of Cardiovascular Risk Factors and Diabetes: A Prospective Cohort Study on the Inner Mongolian Population in China. PG - 749-756 LID - 10.3967/bes2018.100 [doi] AB - 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. CI - Copyright (c) 2018 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved. FAU - Wang, Ting Ting AU - Wang TT AD - Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, Jiangsu, China. FAU - Lin, Bo AU - Lin B AD - Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, Jiangsu, China. FAU - Cui, Wen Xiu AU - Cui WX AD - Harbin Center for Disease Control and Prevention, Harbin 150000, Heilongjiang, China. FAU - Zhang, Ming Zhi AU - Zhang MZ AD - Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, Jiangsu, China. FAU - Zhang, Yong Hong AU - Zhang YH AD - Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, Jiangsu, China. FAU - Zhang, Shao Yan AU - Zhang SY AD - Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, Jiangsu, China. LA - eng PT - Journal Article PL - China TA - Biomed Environ Sci JT - Biomedical and environmental sciences : BES JID - 8909524 SB - IM MH - Adult MH - Aged MH - Aged, 80 and over MH - Cardiovascular Diseases/*epidemiology/etiology MH - China/epidemiology MH - Cluster Analysis MH - Diabetes Mellitus, Type 2/*epidemiology/etiology MH - Female MH - Humans MH - Incidence MH - Male MH - Middle Aged MH - Proportional Hazards Models MH - Prospective Studies MH - Risk Factors MH - Young Adult OTO - NOTNLM OT - Abdominal obesity OT - Cardiovascular risk factors OT - Heart rate OT - Type 2 diabetes EDAT- 2018/11/14 06:00 MHDA- 2019/02/14 06:00 CRDT- 2018/11/14 06:00 PHST- 2018/04/05 00:00 [received] PHST- 2018/09/25 00:00 [accepted] PHST- 2018/11/14 06:00 [entrez] PHST- 2018/11/14 06:00 [pubmed] PHST- 2019/02/14 06:00 [medline] AID - 10.3967/bes2018.100 [doi] PST - ppublish SO - Biomed Environ Sci. 2018 Oct;31(10):749-756. doi: 10.3967/bes2018.100.