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1.
Bangladesh Med Res Counc Bull ; 2004 Dec; 30(3): 105-14
Article in English | IMSEAR | ID: sea-518

ABSTRACT

The study was undertaken to compare the effect of ADA and WHO criteria for screening of diabetes mellitus (DM) and intermediate glucose abnormality (Impaired fasting glucose/Impaired glucose tolerance-IFG/IGT) and to explore an acceptable fasting cut-off in a population-based study. Ten suburb villages with a population of 11,895 were selected purposively. Of the total 6235 eligible (> or = 20y) subjects, 4144 volunteered. We took height, weight, hip- and waist-girth, blood pressure and fasting blood glucose (FBG). All participants were classified into Group-1 (Gr-1: n=453) and Group-2 (Gr-2: n=3691), based on FBG above and below 5.4 mmol/l, respectively. All from Gr-1 and 610 randomized subjects from Gr-2 were investigated for oral glucose tolerance test (OGTT), HbA1c and lipids. The mean (SD) of age, body mass index (BMI) and FBG of all participants was 37.6 (15.2) y, 19.4 (2.9), and 4.7 (0.9) mmol/l, respectively. The prevalence of diabetes and IFG/IGT using American Diabetes Association (ADA) criteria were compared with WHO criteria separately in Gr-1 and Gr-2. For group-1, ADA criteria could diagnose 5.9% as diabetes and 2.1% as IFG, whereas, WHO criteria diagnosed 11.5% diabetes and 19% IGT. Likewise, in Gr-2, ADA detected much less than WHO criteria (DM: 0.3 vs. 2.3%; IFG/IGT 1.0 vs. 14.6%). We compared fasting and 2 hours post-load glucose (2-hBG) values according to percentiles. We found that 11.1 of 2-hBG corresponded with a fasting value that lies between 90 to 95th percentile, equivalent to 5.1-5.7 mmol/l. Using receiver operating characteristics (ROC) curve, we determined the cut-offs 4.6 - 5.4 mmol/l for IFG and > or = 5.5 for diabetes. Taking age and BMI into account the kappa agreements were better between the estimated cut-offs and the given 2-hBG values. The ADA cut-offs were found ineffective for screening. We proposed the modified fasting cut-offs for screening IFG and diabetes among the non-obese population.


Subject(s)
Adult , Bangladesh , Blood Glucose/analysis , Diabetes Mellitus/blood , Fasting , Female , Guidelines as Topic , Humans , Hypoglycemia/blood , Male , Middle Aged , Prevalence
2.
Bangladesh Med Res Counc Bull ; 2004 Aug; 30(2): 60-70
Article in English | IMSEAR | ID: sea-158

ABSTRACT

This cross-sectional study was conducted to estimate the prevalence of type 2 diabetes along with its risk factors in urban slum population of Dhaka, Bangladesh. A random sample of 1555 slum dwellers of Dhaka city (age > or = 20 years) were included in the study. Capillary blood glucose levels, fasting and 2-h after 75g oral glucose load (for a selected subjects, n = 476), were measured. Height, weight, waist and hip circumferences, blood pressure and some other important socio-demographic information on age, sex, education, income, and occupation status were collected. The overall prevalence of type 2 diabetes was found to be 8.1 percent, and the prevalence for men and women were 7.7 percent and 8.5 percent respectively. Prevalence of diabetes was found to be lower following 2-h glucose values in the selected population compared to the FBG procedure. Age, sex, literacy and waist to hip ratio for men were found as significant risk factors following both fasting blood glucose and 2-h post glucose values adjusted for a number of confounding variables. Poor to moderate agreement was observed between fasting blood glucose and 2-h glucose (kappa 0.41, p < 0.001). The agreement was even poorer between impaired fasting glucose and impaired glucose tolerance. Poor agreement between FBG and 2-h BG may raise concern for the dependability of diagnostic procedures. Higher prevalence of type 2 diabetes in the urban slum may indicate an epidemiological transition due to fast urban migration and possibly urbanization. However, this issue needs further exploration.


Subject(s)
Adult , Bangladesh/epidemiology , Blood Glucose/analysis , Cross-Sectional Studies , Diabetes Mellitus, Type 2/blood , Female , Humans , Male , Middle Aged , Poverty Areas , Risk Factors , Seroepidemiologic Studies , Socioeconomic Factors , Urban Health/statistics & numerical data
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