Asma Ahmed1, Jaweed Akhter2,1, Romaina Iqbal3, Abdul Jabbar1, Minaz Mawani4, Safia Awan4, Zainab Samad5, Preet Ayoub Shaikh6, Muammad Salik7, Jaakko Tuomilehto8,9. 1. Section of Endocrinology, Department of Medicine, Aga Khan University, Karachi, Pakistan. 2. SETMA Diabetes Center, Beaumont, Texas, USA. 3. Department of Community Health Science, Aga Khan University, Karachi, Pakistan. 4. Department of Medicine, Aga Khan University, Karachi, Pakistan. 5. Section of Cardiology, Department of Medicine, Aga Khan University, Karachi, Pakistan. 6. Department of Internal Medicine, Aga Khan University, Karachi, Pakistan. 7. Ziauddin University, Karachi, Pakistan. 8. Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland. 9. Department of Public Health, University of Helsinki, Helsinki, Finland.
Abstract
Background: We aimed to assess the burden of metabolic syndrome (MetS), and evaluate the phenotypic variation of MetS in a population at high risk for diabetes in urban Karachi, Pakistan. Methods: This study was embedded in a lifestyle intervention trial for the prevention of type 2 diabetes mellitus. The study population comprised participants who belonged to urban households in Karachi, Pakistan. Results: Among 15,590 individuals who were screened through diabetes risk score (DRS), 3945 individuals met the criteria for a high DRS (≥60). After excluding 1780 participants due to refusals and ineligibility, 2165 were enrolled, a total of 1188 subjects (54.9%) met the International Diabetes Federation criteria for MetS, and a total of 1199 subjects (55.4%) participants met the US National Cholesterol Education Program. Raised serum triglycerides (TGs) and low high-density lipoprotein (HDL) cholesterol were significantly associated with MetS. On multivariate logistic regression, higher body mass index levels (obese category: odds ratio [OR] = 2.14, 95% confidence interval [CI] 1.56-2.95), age >44 years (OR = 2.64, 95% CI 1.93-3.60), and family history of diabetes in both parents (OR = 1.71, 95% CI 1.15-2.54) were found to be independently associated with MetS, whereas higher education (OR = 0.78, 95% CI 0.57-1.06) and physical activity levels (OR = 0.74, 95% CI 0.57-0.96) had lower odds of MetS. Conclusion: One in two individuals with a high DRS in an urban low/middle-income country setting met the criteria for MetS. Patients with atherogenic dyslipidemia defined as low HDL and high TGs represent unique subphenotypes of MetS in this population.
Background: We aimed to assess the burden of metabolic syndrome (MetS), and evaluate the phenotypic variation of MetS in a population at high risk for diabetes in urban Karachi, Pakistan. Methods: This study was embedded in a lifestyle intervention trial for the prevention of type 2 diabetes mellitus. The study population comprised participants who belonged to urban households in Karachi, Pakistan. Results: Among 15,590 individuals who were screened through diabetes risk score (DRS), 3945 individuals met the criteria for a high DRS (≥60). After excluding 1780 participants due to refusals and ineligibility, 2165 were enrolled, a total of 1188 subjects (54.9%) met the International Diabetes Federation criteria for MetS, and a total of 1199 subjects (55.4%) participants met the US National Cholesterol Education Program. Raised serum triglycerides (TGs) and low high-density lipoprotein (HDL) cholesterol were significantly associated with MetS. On multivariate logistic regression, higher body mass index levels (obese category: odds ratio [OR] = 2.14, 95% confidence interval [CI] 1.56-2.95), age >44 years (OR = 2.64, 95% CI 1.93-3.60), and family history of diabetes in both parents (OR = 1.71, 95% CI 1.15-2.54) were found to be independently associated with MetS, whereas higher education (OR = 0.78, 95% CI 0.57-1.06) and physical activity levels (OR = 0.74, 95% CI 0.57-0.96) had lower odds of MetS. Conclusion: One in two individuals with a high DRS in an urban low/middle-income country setting met the criteria for MetS. Patients with atherogenic dyslipidemia defined as low HDL and high TGs represent unique subphenotypes of MetS in this population.
Entities:
Keywords:
body mass index; diabetes risk score; dyslipidemia; hypertension; metabolic syndrome; waist circumference
Authors: Yuting Zhang; Yingcai Xie; Lingling Huang; Yan Zhang; Xilin Li; Qiyu Fang; Qun Wang Journal: Int J Environ Res Public Health Date: 2022-09-15 Impact factor: 4.614