title: Prevalence and determinants of metabolic syndrome among newly diagnosed type 2 diabetic subjects according to different criteria.
abstract: OBJECTIVE
  Metabolic syndrome (MS) is becoming a serious global public health problem. The prevalence of MS differs in different population by using different definitions. Present study aimed to find out the prevalence and determinants of MS among newly diagnosed type 2 diabetes (NDT2D) according to different criteria.
  
  
  METHODS
  This cross-sectional analytic study was conducted among 281 subjects selected purposively from the OPD of BIRDEM. Information on lifestyle factors and disease history were collected using a semi-structured questionnaire by face to face interview. The three definitions of MS used in this study are from the International Diabetes Federation (IDF), a modified version of the ATP III criteria for Asian populations (modified ATP III) and World Health Organization (WHO) criteria. Adjusted odds ratio and confidence limit were generated through logistic regression.
  
  
  RESULTS
  The overall prevalence of metabolic syndrome among the study subjects according to modified ATPIII, WHO and IDF criteria were 79% (95% CI: 74.2-83.8), 81% (95% CI: 76.4-85.6) and 68% (95% CI: 62.6-73.5) respectively. The prevalence of metabolic syndrome among female were higher compared to males in all the criteria's. Female gender (OR=5.93), family history of diabetes (OR=1.92), overweight (OR=6.2), and obesity (OR=5.13) were found as important confounders associated with metabolic syndrome.
  
  
  CONCLUSIONS
  The prevalence of the metabolic syndrome among NDT2D is considerably higher in our population which may indicate considerable risk of cardiovascular diseases in future. Female gender, family history of diabetes, overweight and obesity are important confounders of MS in this population.
authors.affiliation: Department of Health Promotion and Health Education, Bangladesh University of Health Sciences, Bangladesh. Electronic address: shormybd@yahoo.com.
authors.forename: Sharmin
authors.initials: S
authors.lastname: Hossain
authors.affiliation: School of Public Health and Community Medicine, University of New South Wales, Australia.
authors.forename: Kaniz
authors.initials: K
authors.lastname: Fatema
authors.affiliation: Department of Health Promotion and Health Education, Bangladesh University of Health Sciences, Bangladesh.
authors.forename: Kazi R
authors.initials: KR
authors.lastname: Ahmed
authors.affiliation: Department of Reproductive and Child Health, Bangladesh University of Health Sciences, Bangladesh.
authors.forename: Jesmin
authors.initials: J
authors.lastname: Akter
authors.affiliation: Department of Biostatistics, Bangladesh University of Health Sciences, Bangladesh.
authors.forename: Hasina A
authors.initials: HA
authors.lastname: Chowdhury
authors.affiliation: Department of Public Health, Daffodil International University, Bangladesh.
authors.forename: Md
authors.initials: M
authors.lastname: Shahjahan
authors.affiliation: J.B. Ray State Ayurvedic Medical College & Hospital, India.
authors.forename: Amitava
authors.initials: A
authors.lastname: Acharyya
authors.affiliation: Department of Epidemiology, National Institute of Prevention & Social Medicine, Bangladesh.
authors.forename: M A
authors.initials: MA
authors.lastname: Rahim
authors.affiliation: Department of Biochemistry and Cell Biology, Bangladesh University of Health Sciences, Bangladesh.
authors.forename: Liaquat
authors.initials: L
authors.lastname: Ali
mesh_terms: D000328:Adult; D001208:Asia / Q000453:epidemiology; D015415:Biomarkers / Q000378:metabolism*; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000503:physiopathology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008019:Life Style; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology / Q000209:etiology*; D008875:Middle Aged; D009765:Obesity / Q000150:complications*; D050177:Overweight / Q000150:complications*; D015995:Prevalence; D011379:Prognosis; D012307:Risk Factors
chemical_list: D015415:Biomarkers; D001786:Blood Glucose
keywords: Bangladesh; Determinants; Metabolic syndrome criteria; Newly diagnosed type 2 diabetes; Prevalence