title: Blood pressure and coronary heart disease in NIDDM subjects at diagnosis: prevalence and risks in a Bangladeshi population.
abstract: Overall obesity and central fat distribution are frequently accompanied by hyperglycemia, hypertension (HTN) and coronary heart disease (CHD) observed in developed nations and in South Asian migrants. This study attempts to estimate the prevalence of CHD and HTN and to assess the related risks among the newly diagnosed diabetics in the developing communities. From a total of 3583 non-insulin-dependent diabetes mellitus (NIDDM) and impaired glucose tolerance (IGT) subjects, the authors investigated 693 (M = 295, F = 398) randomly selected non-smokers of age 30-60 years. WHO diagnostic criteria were used for NIDDM and IGT. Systolic and diastolic hypertension (sHTN and dHTN) were defined as systolic blood pressure (SBP) > or = 140 and diastolic (DBP) > or = 90 mmHg. Diagnosis of CHD was based on electrocardiogram either on rest or on stress or both when equivocal. The overall prevalence of CHD in the NIDDM subjects was 18.6%. The prevalence rates of sHTN and dHTN were 23.2 and 13.6%, respectively. CHD and HTN did not differ significantly between male and female and between urban and rural subjects. CHD prevalence was significantly higher in the higher tertiles of age, SBP and DBP (P < 0.001, for all cases). Logistic regression showed that only the increasing age, high waist-to-hip ratio (WHR) and high BP were the independent risks for CHD. For sHTN, the independent risks were increased age and high body mass index (BMI) (kg/m2). Regardless of sex and area, increased prevalence of CHD and HTN were found in the newly diagnosed diabetic subjects. Increased age, central obesity and HTN were the independent risks for CHD while advancing age and overall obesity was related to sHTN.
authors.affiliation: Department of Epidemiology and Biostatistics, BIRDEM (Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders), Dhaka. immunols@bdonline.co
authors.forename: M A
authors.initials: MA
authors.lastname: Sayeed
authors.forename: A
authors.initials: A
authors.lastname: Banu
authors.forename: M A
authors.initials: MA
authors.lastname: Malek
authors.forename: A K
authors.initials: AK
authors.lastname: Khan
mesh_terms: D000328:Adult; D000367:Age Factors; D000886:Anthropometry; D001459:Bangladesh / Q000453:epidemiology; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure / Q000502:physiology*; D001824:Body Constitution; D015992:Body Mass Index; D003327:Coronary Disease / Q000453:epidemiology / Q000503:physiopathology*; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis / Q000453:epidemiology / Q000503:physiopathology*; D003971:Diastole / Q000502:physiology; D005215:Fasting; D005260:Female; D018149:Glucose Intolerance / Q000503:physiopathology; D005951:Glucose Tolerance Test; D006615:Hip; D006801:Humans; D006973:Hypertension / Q000453:epidemiology / Q000503:physiopathology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012737:Sex Factors; D013599:Systole / Q000502:physiology
chemical_list: D001786:Blood Glucose