Metabolic syndrome and risk of major coronary events among the urban diabetic patients: North Indian Diabetes and Cardiovascular Disease Study-NIDCVD-2

被引:30
作者
Bhatti, Gurjit Kaur [1 ]
Bhadada, Sanjay Kumar [2 ]
Vijayvergiya, Rajesh [3 ]
Mastana, Sarabjit Singh [4 ]
Bhatti, Jasvinder Singh [5 ,6 ]
机构
[1] Panjab Univ, UGC Ctr Excellence Applicat Nanomat Nanoparticles, Sect 14, Chandigarh 160014, India
[2] Postgrad Inst Med Educ & Res, Dept Endocrinol, Sect 12, Chandigarh 160012, India
[3] Postgrad Inst Med Educ & Res, Dept Cardiol, Adv Cardiac Ctr, Sect 12, Chandigarh 160012, India
[4] Univ Loughborough, Sch Sport Exercise & Hlth Sci, Human Genet Lab, Ctr Global Hlth & Human Dev, Loughborough LE11 3TU, Leics, England
[5] Sri Guru Gobind Singh Coll, Dept Biotechnol & Bioinformat, Sect 26, Chandigarh 160019, India
[6] Panjab Univ, Dept Biochem, Sect 14, Chandigarh 160014, India
关键词
Metabolic syndrome; Harmonized criteria of metabolic syndrome; Type; 2; diabetes; CAD; Asian Indians; ALL-CAUSE; HEART-DISEASE; PREVALENCE; POPULATION; MORTALITY; PREDICTOR; EPIDEMIOLOGY; ADULTS; WEST;
D O I
10.1016/j.jdiacomp.2015.07.008
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: The present study aimed at estimating the prevalence of metabolic syndrome (MetS) and prospectively, evaluating cardiovascular events among Asian Indians type 2 diabetic subjects. Methods: The sample comprised 1522 type 2 diabetic mellitus (T2DM) subjects aged 25-91 years, who participated in the North Indian Diabetes and Cardiovascular Disease Study (NIDCVD). The participants were screened for hypertension, dyslipidemia, obesity and cardiovascular events. Anthropometric, clinical and biochemical measurements were done in all subjects. The prevalence of MetS was estimated in all the subjects according to the harmonized criteria of 2009. Results: The prevalence of MetS among urban Indian diabetic subjects was 71.9% and was significantly higher in females (86%) as compared to males (57.9%). To determine the independent predictors of the MetS in diabetic sample, binary logistic regression analyses were performed using demographic and biochemical parameters. Significant differences in the indices of generalized and abdominal obesity and lipids (total cholesterol, high density lipoprotein) were observed (p < 0.01) in male:female and MetS and non-MetS comparisons. Regression analysis for prediction of CAD showed that family history, age, body mass index (BMI), SBP, physical inactivity and hypertension independently and significantly predicted the disease outcome. Binary logistic regression analysis revealed that MetS may be an independent risk/predictor of CAD (odd ratio (OR) = 3.44, CI 131-9.01, p = 0.012) along with higher age groups, BMI and hypertension in Indian population. Conclusion: The study demonstrated that the high prevalence of MetS and its different components were positively associated with a higher risk of CAD in north Indian diabetic subjects. Nevertheless, MetS is a major health problem in India, comprehensive population studies are warranted for estimation of incidence and prevalence, and education should be provided on its prevention and control to reduce the diabetes -related morbidity and mortality. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:72 / 78
页数:7
相关论文
共 40 条
[1]  
Agrawal Swastik, 2011, Indian J Med Res, V134, P639, DOI 10.4103/0971-5916.90988
[2]   Harmonizing the Metabolic Syndrome A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity [J].
Alberti, K. G. M. M. ;
Eckel, Robert H. ;
Grundy, Scott M. ;
Zimmet, Paul Z. ;
Cleeman, James I. ;
Donato, Karen A. ;
Fruchart, Jean-Charles ;
James, W. Philip T. ;
Loria, Catherine M. ;
Smith, Sidney C., Jr. .
CIRCULATION, 2009, 120 (16) :1640-1645
[3]  
American Diabetes Association, 2004, Diabetes Care, V27 Suppl 1, pS5, DOI 10.2337/diacare.27.2007.S5
[4]   Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: Phase I results of the Indian Council of Medical Research-INdia DIABetes (ICMR-INDIAB) study [J].
Anjana, R. M. ;
Pradeepa, R. ;
Deepa, M. ;
Datta, M. ;
Sudha, V. ;
Unnikrishnan, R. ;
Bhansali, A. ;
Joshi, S. R. ;
Joshi, P. P. ;
Yajnik, C. S. ;
Dhandhania, V. K. ;
Nath, L. M. ;
Das, A. K. ;
Rao, P. V. ;
Madhu, S. V. ;
Shukla, D. K. ;
Kaur, T. ;
Priya, M. ;
Nirmal, E. ;
Parvathi, S. J. ;
Subhashini, S. ;
Subashini, R. ;
Ali, M. K. ;
Mohan, V. .
DIABETOLOGIA, 2011, 54 (12) :3022-3027
[5]  
[Anonymous], 2000, AFRICAN SUMMIT ROLL, P17
[6]  
Badada S. K., 2014, DIABETES METABOLISM
[7]   Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies [J].
Barba, C ;
Cavalli-Sforza, T ;
Cutter, J ;
Darnton-Hill, I ;
Deurenberg, P ;
Deurenberg-Yap, M ;
Gill, T ;
James, P ;
Ko, G ;
Miu, AH ;
Kosulwat, V ;
Kumanyika, S ;
Kurpad, A ;
Mascie-Taylor, N ;
Moon, HK ;
Nishida, C ;
Noor, MI ;
Reddy, KS ;
Rush, E ;
Schultz, JT ;
Seidell, J ;
Stevens, J ;
Swinburn, B ;
Tan, K ;
Weisell, R ;
Wu, ZS ;
Yajnik, CS ;
Yoshiike, N ;
Zimmet, P .
LANCET, 2004, 363 (9403) :157-163
[8]   The Metabolic Syndrome is an independent predictor of cardiovascular disease in Type 2 diabetic subjects. Prospective data from the Verona Diabetes Complications Study [J].
Bonora, E ;
Targher, G ;
Formentini, G ;
Calcaterra, F ;
Lombardi, S ;
Marini, F ;
Zenari, L ;
Saggiani, F ;
Poli, M ;
Perbellini, S ;
Raffaelli, A ;
Gemma, L ;
Santi, L ;
Bonadonna, RC ;
Muggeo, M .
DIABETIC MEDICINE, 2004, 21 (01) :52-58
[9]   Metabolic syndrome as a predictor of all-cause and cardiovascular mortality in type 3 diabetes [J].
Bruno, G ;
Merletti, F ;
Biggeri, A ;
Bargero, G ;
Ferrero, S ;
Runzo, C ;
Cerai, SP ;
Pagano, G ;
Cavallo-Perin, P .
DIABETES CARE, 2004, 27 (11) :2689-2694
[10]   Prevalence of metabolic syndrome using WHO, ATPIII and IN definitions in Asian indians: The Chennai Urban Rural Epidemiology Study (CURES-34) [J].
Deepa, M. ;
Farooq, S. ;
Datta, M. ;
Deepa, R. ;
Mohan, V. .
DIABETES-METABOLISM RESEARCH AND REVIEWS, 2007, 23 (02) :127-134