Type 2 diabetes epidemic and key risk factors in Qatar: a mathematical modeling analysis.

Introduction: We aimed to characterize and forecast type 2 diabetes mellitus (T2DM) disease burden between 2021 and 2050 in Qatar where 89% of the population comprises expatriates from over 150 countries.

Research Design And Methods: An age-structured mathematical model was used to forecast T2DM burden and the impact of key risk factors (obesity, smoking, and physical inactivity). The model was parametrized using data from T2DM natural history studies, Qatar's 2012 STEPwise survey, the Global Health Observatory, and the International Diabetes Federation Diabetes Atlas, among other data sources.

Characterizing epidemiology of prediabetes, diabetes, and hypertension in Qataris: A cross-sectional study.

Objectives: To characterize the epidemiologic profiles of prediabetes mellitus (preDM), diabetes mellitus (DM), and hypertension (HTN) in Qataris using the nationally representative 2012 Qatar STEPwise Survey.

Methods: A secondary data analysis of a cross-sectional survey that included 2,497 Qatari nationals aged 18-64 years. Descriptive and analytical statistical analyses were conducted.