학술논문
Association between obesity categories with cardiovascular disease and its related risk factors in the MASHAD cohort study population.
Document Type
Academic Journal
Author
Ghazizadeh H; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Mirinezhad SMR; Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Asadi Z; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Parizadeh SM; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Zare-Feyzabadi R; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Shabani N; Department of Biostatistics & Epidemiology, School of Health, Management & Social Determinants of Health Research Center, Mashhad University of Medical sciences, Mashhad, Iran.; Eidi M; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Mosa Farkhany E; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Esmaily H; Department of Biostatistics & Epidemiology, School of Health, Management & Social Determinants of Health Research Center, Mashhad University of Medical sciences, Mashhad, Iran.; Mahmoudi AA; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Mouhebati M; Cardiovascular Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Oladi MR; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Rohban M; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Sharifan P; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Yadegari M; Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Saeidi F; Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.; Ferns GA; Division of Medical Education, Brighton & Sussex Medical School, Falmer, Brighton, Sussex, UK.; Ghayour-Mobarhan M; Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Source
Publisher: Wiley Country of Publication: United States NLM ID: 8801384 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2825 (Electronic) Linking ISSN: 08878013 NLM ISO Abbreviation: J Clin Lab Anal Subsets: MEDLINE
Subject
Language
English
Abstract
Background: Cardiovascular disease (CVD) is a significant cause of morbidity and mortality globally. Obesity is an important CVD risk factor and is increasing in prevalence.
Methods: In this study, 3829 men and 5720 women (35-65 years) were enrolled as part of the MASHAD cohort study. Four categories were identified according to body mass index and waist circumference that was defined by the World Health Organization. Logistic regression analysis was used to determine the adjusted odds ratio (OR) for the occurrence of CVD, and Cox regression model was used to evaluate the association of obesity with CVD incidence.
Results: We found that the higher risk groups defined by categories of adiposity were significantly related to a higher prevalence of a high serum total cholesterol (TC), and triglycerides (TG), and lower high-density lipoprotein cholesterol (HDL), and higher fasting blood glucose (FBG) in both genders and a higher low-density lipoprotein cholesterol (LDL) in women (P < .001). Additionally, a high percentage of participants with dyslipidemia, high LDL, high TC, and low HDL and a high percentage of participants with metabolic syndrome, diabetes, hypertension, and a high serum TG were observed across obesity categories (P < .001). Moreover, women with the very high degrees of obesity had a greater risk of CVD (HR: 1.91, 95% CI: 1.06-3.43, P = .03).
Conclusion: Obesity strongly predicts several CVD risk factors. Following 6 years of follow-up, in individuals within increasing degrees of obesity, there was a corresponding significant increase in CVD events, rising to approximately a twofold higher risk of cardiovascular events in women compared with men.
(© 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc.)
Methods: In this study, 3829 men and 5720 women (35-65 years) were enrolled as part of the MASHAD cohort study. Four categories were identified according to body mass index and waist circumference that was defined by the World Health Organization. Logistic regression analysis was used to determine the adjusted odds ratio (OR) for the occurrence of CVD, and Cox regression model was used to evaluate the association of obesity with CVD incidence.
Results: We found that the higher risk groups defined by categories of adiposity were significantly related to a higher prevalence of a high serum total cholesterol (TC), and triglycerides (TG), and lower high-density lipoprotein cholesterol (HDL), and higher fasting blood glucose (FBG) in both genders and a higher low-density lipoprotein cholesterol (LDL) in women (P < .001). Additionally, a high percentage of participants with dyslipidemia, high LDL, high TC, and low HDL and a high percentage of participants with metabolic syndrome, diabetes, hypertension, and a high serum TG were observed across obesity categories (P < .001). Moreover, women with the very high degrees of obesity had a greater risk of CVD (HR: 1.91, 95% CI: 1.06-3.43, P = .03).
Conclusion: Obesity strongly predicts several CVD risk factors. Following 6 years of follow-up, in individuals within increasing degrees of obesity, there was a corresponding significant increase in CVD events, rising to approximately a twofold higher risk of cardiovascular events in women compared with men.
(© 2019 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals, Inc.)