Gurjit Kaur Bhatti1, Sanjay Kumar Bhadada2, Rajesh Vijayvergiya3, Sarabjit Singh Mastana4, Jasvinder Singh Bhatti5. 1. UGC Centre of Excellence in Applications of Nanomaterials, Nanoparticles and Nanocomposites, Panjab University, Sector 14, Chandigarh 160014, India. 2. Department of Endocrinology, Postgraduate Institute of Medical Education & Research, Sector 12, Chandigarh 160012, India. 3. Department of Cardiology, Advanced Cardiac Centre, Postgraduate Institute of Medical Education & Research, Sector 12, Chandigarh 160012, India. 4. School of Sport, Exercise and Health Sciences, Centre for Global Health and Human Development, Human Genetics Lab, Loughborough University, Leicestershire LE113TU, UK. 5. Department of Biotechnology and Bioinformatics, Sri Guru Gobind Singh College, Sector 26, Chandigarh 160019, India; Department of Biochemistry, Panjab University, Sector 14, Chandigarh 160014, India. Electronic address: jasvinderbhatti@yahoo.com.
Abstract
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 25-91years, 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 1.31-9.01, 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.
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 25-91years, 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 1.31-9.01, 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.
Authors: Halil İbrahim Serin; Yunus Keser Yilmaz; Yaşar Turan; Ergin Arslan; Mustafa Fatih Erkoç; Aytaç Doğan; Mehmet Celikbilek Journal: J Res Med Sci Date: 2017-01-27 Impact factor: 1.852