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1.
Indian J Endocrinol Metab ; 18(2): 202-9, 2014 Mar.
Article in English | MEDLINE | ID: mdl-24741517

ABSTRACT

AIM: This study aims to determine the potential impact of positive family history of Metabolic Syndrome (MetS) among two generations, on developing Type 2 Diabetes Mellitus (T2DM) and the potential relation of consanguineous marriage among patients with MetS to the risk of developing T2DM among a sample of Qataris. DESIGN: A cross-sectional study. SETTING: Primary healthcare (PHC) centers. MATERIALS AND METHODS: The survey and measurement were conducted from April 2011 to December 2012 among Qatari nationals above 20 years of age. Of the 2,182 subjects, who were approached to participate in the study, 1,552 (71%) gave their consent. Face-to-face interviews were conducted using a structured questionnaire followed by anthropometric measurements and laboratory tests. Metabolic syndrome was defined using the National Cholesterol Education Program-Third Adult Treatment Panel (ATP III) as well as International Diabetes Federation (IDF). RESULTS: Overall, the prevalence of MetS was 26.2% according to ATP III and 36.9% according to IDF (P < 0.0001). The mean age of MetS patients with T2DM was significantly higher than those without T2DM (Mean 48 ± 9.9 vs. 42.5 ± 9.2; P < 0.001). The proportion of females was higher among MetS patients with T2DM as compared to those without T2DM (61% vs. 51%; P = 0.053). In addition, there were significant differences between MetS patients with and without DM in terms of co-morbidities of hypertension, coronary heart disease, and high cholesterol. The proportion of MetS patients with positive family history for MetS was significantly higher in MetS patients with T2DM as compared to those without T2DM (46.7% vs. 33.8%; P = 0.009). The proportion of positive family history of MetS among fathers (35% vs. 21.9%; P = 0.005), mothers (30.5% vs. 18.8%; P = 0.008), maternal aunt (18.3% vs. 11.2%; P = 0.055), and maternal grand father (19.5% vs. 10%; P = 0.010) were significantly higher in MetS patients with T2DM as compared to the counterpart. The proportion of consanguineous marriages was almost two times higher among MetS patients with T2DM as compared to those without T2DM (80.9% vs. 41.9%; P < 0.001). The proportion of MetS patients with T2DM was lower than MetS patients without DM below 45 years, but after 45 years, the proportion of MetS patients with T2DM remained higher than their counterparts. CONCLUSION: Family history of MetS among parents, maternal aunt, maternal grandfather, and consanguineous marriages among patients of MetS are significantly associated with the development of T2DM in Qatar. These results support the necessity of earlier screening for T2DM among MetS patients with positive family history of MetS.

2.
J Obes ; 2013: 269038, 2013.
Article in English | MEDLINE | ID: mdl-24000310

ABSTRACT

AIM: The aim was to compare body mass index (BMI), waist circumference (WC), waist hip ratio (WHR), and waist height ratio (WHtR) to identify the best predictor of metabolic syndrome (MetS) among Qatari adult population. METHODS: A cross-sectional survey from April 2011 to December 2012. Data was collected from 1552 participants followed by blood sampling. MetS was defined according to Third Adult Treatment Panel (ATPIII) and International Diabetes Federation (IDF). Receiver operating characteristics (ROC) curve analysis was performed. RESULTS: Among men, WC followed by WHR and WHtR yielded the highest area under the curve (AUC) (0.78; 95% CI 0.74-0.82 and 0.75; 95% CI 0.71-0.79, resp.). Among women, WC followed by WHtR yielded the highest AUC (0.81; 95% CI 0.78-0.85 & 0.79; 95% CI 0.76-0.83, resp.). Among men, WC at a cut-off 99.5 cm resulted in the highest Youden index with sensitivity 81.6% and 63.9% specificity. Among women, WC at a cut-off 91 cm resulted in the highest Youden index with the corresponding sensitivity and specificity of 86.5% and 64.7%, respectively. BMI had the lowest sensitivity and specificity in both genders. CONCLUSION: WC at cut-off 99.5 cm in men and 91 cm in women was the best predictor of MetS in Qatar.


Subject(s)
Body Mass Index , Metabolic Syndrome/epidemiology , Obesity/diagnosis , Obesity/epidemiology , Waist Circumference , Waist-Hip Ratio , Adult , Age Factors , Aged , Area Under Curve , Chi-Square Distribution , Cross-Sectional Studies , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Obesity/physiopathology , Predictive Value of Tests , Prognosis , Qatar/epidemiology , ROC Curve , Risk Assessment , Risk Factors , Sex Factors
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