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      Prevention of type II diabetes mellitus in Qatar: Who is at risk?

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          Abstract

          Background: Type II diabetes mellitus (DM) is one of the leading chronic diseases in Qatar as well as worldwide. However, the risk factors for DM in Qatar and their prevalence are not well understood. We conducted a case-control study with the specific aim of estimating, based on data from outpatients with DM in Qatar (cases) and outpatient/inpatient controls, the association between demographic/lifestyle factors and DM. Methods: A total of 459 patients with DM from Hamad General Hospital (HGH) outpatient adult diabetes clinics, and 342 control patients from various outpatient clinics and inpatient departments within Hamad Medical Corporation (HMC) (years 2006–2008), were recruited. The association between risk factors and DM was evaluated using bivariate and multivariable logistic regression analyses. In addition to odds ratios (OR) and 95% confidence intervals (95% CI), we estimated the population attributable risk fractions for the DM demographic/lifestyle risk factors. Results: Qatari nationality was the strongest risk factor for DM (adjusted OR = 5.5; 95% CI = 3.5–8.6; p < 0.0001), followed by higher monthly income (defined as ≥ 3000 Qatari Riyals, adjusted OR = 5.1; 95% CI = 3.0–8.7; p < 0.0001), age >65 years (adjusted OR = 3.3; 95% CI = 0.9–11.4; p = 0.06), male gender (adjusted OR = 2.9; 95% CI = 1.8-4.8; p < 0.0001), obesity (BMI ≥ 30, adjusted OR = 2.2; 95% CI = 1.5-3.2; p < 0.0001), no college education (adjusted OR = 1.7; 95% CI = 1.2–2.6; p = 0.009), and no daily vigorous/moderate activity (adjusted OR = 1.5; 95% CI = 0.9–2.3; p = 0.12). Among Qatari nationals, obesity was found to be the main risk factor for DM (unadjusted OR = 3.0; 95% CI = 1.6–5.6; p < 0.0001), followed by no college education (unadjusted OR = 2.7; 95% CI = 1.5–5.1; p = 0.001), while consanguinity did not appear to play a major role in predicting DM (unadjusted OR = 1.5; 95% CI = 0.8–2.8; p = 0.21). Our findings further suggested that eliminating obesity and improving access to education may reduce DM cases by up to one third for the population at large (31.7% and 26.8%, respectively) and up to half (46.9% and 49.3%, respectively) for Qatari nationals. Promoting physical activity may reduce the burden of DM by up to 9.4% for the population at large and up to 17.3% for Qatari nationals. Conclusions: Demographic/lifestyle factors appear to be the main risk factors for the high DM levels observed in Qatar, with a contribution that outweighs that of genetic risk factors. While further evaluation of DM risk factors among the Qatari population (as opposed to the resident population) is important and of interest, these findings highlight the need to focus short-term DM interventions on addressing demographic/lifestyle risk factors to achieve substantial and timely declines in DM levels.

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          Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization.

          This two-part article provides an overview of the global burden of atherothrombotic cardiovascular disease. Part I initially discusses the epidemiologic transition which has resulted in a decrease in deaths in childhood due to infections, with a concomitant increase in cardiovascular and other chronic diseases; and then provides estimates of the burden of cardiovascular (CV) diseases with specific focus on the developing countries. Next, we summarize key information on risk factors for cardiovascular disease (CVD) and indicate that their importance may have been underestimated. Then, we describe overarching factors influencing variations in CVD by ethnicity and region and the influence of urbanization. Part II of this article describes the burden of CV disease by specific region or ethnic group, the risk factors of importance, and possible strategies for prevention.
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            Estimating the population attributable risk for multiple risk factors using case-control data.

            A straightforward and unified approach is presented for the calculation of the population attributable risk per cent (etiologic fraction) in the general multivariate setting, with emphasis on using data from case-control studies. The summary attributable risk for multiple factors can be estimated, with or without adjustment for other (confounding) risk factors. The relation of this approach to procedures in the literature is discussed. Given values of the relative risks for various combinations of factors, all that is required is the distribution of these factors among the cases only. The required information can often be estimated solely from case-control data, and in some situations relative risk estimates from one population can be applied to calculation of attributable risk for another population. The authors emphasize the benefits to be obtained from logistic regression models, so that risks need not be estimated separately in a large number of strata, some of which may contain inadequate numbers of individuals. This approach allows incorporation of important interactions between factors, but does not require that all possible interactions be included. The approach is illustrated with data on four risk factors from a pair-matched case-control study of participants in a multicenter breast cancer screening project.
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              Global status report on noncommunicable diseases 2014

              A Alwan (2011)
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                Author and article information

                Journal
                Qatar Med J
                Qatar Med J
                QMJ
                Qatar Medical Journal
                Bloomsbury Qatar Foundation Journals (Qatar )
                0253-8253
                2227-0426
                2014
                09 December 2014
                : 2014
                : 2
                : 70-81
                Affiliations
                [1] 1Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Cornell Medical College in New York, New York, USA
                [2] 2Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Doha, Qatar
                [3] 3Department of Endocrine-Medicine, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
                [4] 4Department of Medicine, Section of Neurology and Neurophysiology, Hamad General Hospital, Hamad Medical Corporation, Doha, Qatar
                [5] 5Department of Healthcare Policy and Research, Weill Cornell Medical College in New York, New York, USA
                Author notes
                Article
                qmj.2014.13
                10.5339/qmj.2014.13
                4344980
                567a1919-217a-448f-9af5-727cbff9a0c1
                © 2014 Christos, Chemaitelly, Abu-Raddad, Ali Zirie, Deleu, Mushlin, licensee Bloomsbury Qatar Foundation Journals.

                This is an open access article distributed under the terms of the Creative Commons Attribution license CC BY 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 August 2014
                : 11 November 2014
                Categories
                Research Article

                epidemiology,diabetes mellitus,demographic factors,lifestyle,qatar,middle east,north africa

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