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Prevalence and determinants of metabolic syndrome in Qatar: results from a National Health Survey

OBJECTIVES: To determine optimum measurements for abdominal obesity and to assess the prevalence and determinants of metabolic syndrome in Qatar. DESIGN: National health survey. SETTING: Qatar National STEPwise Survey conducted by the Supreme Council of Health during 2012. PARTICIPANTS: 2496 Qatari...

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Detalles Bibliográficos
Autores principales: Al-Thani, Mohamed Hamad, Al-Thani, Al Anoud Mohammed, Cheema, Sohaila, Sheikh, Javaid, Mamtani, Ravinder, Lowenfels, Albert B, Al-Chetachi, Walaa Fattah, Almalki, Badria Ali, Hassan Khalifa, Shamseldin Ali, Haj Bakri, Ahmad Omar, Maisonneuve, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5020868/
https://www.ncbi.nlm.nih.gov/pubmed/27601485
http://dx.doi.org/10.1136/bmjopen-2015-009514
Descripción
Sumario:OBJECTIVES: To determine optimum measurements for abdominal obesity and to assess the prevalence and determinants of metabolic syndrome in Qatar. DESIGN: National health survey. SETTING: Qatar National STEPwise Survey conducted by the Supreme Council of Health during 2012. PARTICIPANTS: 2496 Qatari citizens aged 18–64 representative of the general population. PRIMARY AND SECONDARY OUTCOME MEASURES: Measure of obesity (body mass index, waist circumference or waist-to-height ratio) that best identified the presence of at least 2 other factors of metabolic syndrome; cut-off values of waist circumference; frequency of metabolic syndrome. RESULTS: Waist circumference ≥102 for men and ≥94 cm for women was the best predictor of the presence of other determinants of metabolic syndrome (raised blood pressure, fasting blood glucose, triglycerides and reduced high-density lipoprotein cholesterol). Using these values, we identified 28% of Qataris with metabolic syndrome, which is considerably lower than the estimate of 37% calculated using the International Diabetes Federation (IDF) criteria. Restricting the analysis to participants without known elevated blood pressure, elevated blood sugar or diabetes 16.5% would be classified as having metabolic syndrome. In a multivariable logistic regression analysis, the prevalence of metabolic syndrome increased steadily with age (OR=3.40 (95% CI 2.02 to 5.74), OR=5.66 (3.65 to 8.78), OR=10.2 (5.98 to 17.6) and OR=18.2 (7.01 to 47.5) for those in the age group ‘30–39’, ‘40–49’, ‘50–59’, ‘60–64’ vs ‘18–29’; p<0.0001), decreased with increasing educational attainment (OR=0.61 (0.39 to 0.96) for those who attained ‘secondary school or more’ compared with ‘less than primary school’; p=0.03) and exercise (OR=0.60 (0.42 to 0.86) for those exercising ≥3000 vs <600 MET-min/week; p=0.006) but was not associated with smoking or diet. CONCLUSIONS: Waist circumference was the best measure of obesity to combine with other variables to construct a country-specific definition of metabolic syndrome in Qatar. Approximately 28% of adult Qatari citizens satisfy the criteria for metabolic syndrome, which increased significantly with age. Education and physical activity were inversely associated with this syndrome.