Structural equation model for estimating risk factors in type 2 diabetes mellitus in a Middle Eastern setting: evidence from the STEPS Qatar

AIMS: Understanding type 2 diabetes mellitus is critical for designing effective diabetes prevention policies in Qatar and the Middle East. METHODS: Using the Qatar 2012 WHO STEPwise approach to surveillance survey, a subsample of 1224 Qatari participants aged 18–64 years was selected. Subjects had their fasting blood glucose levels tested, had not been diagnosed with or treated for diabetes, had a fasting time >12 hours and were not pregnant. We applied a hypothesized structural equation model (SEM) to assess sociodemographic, behavioral, anthropometric and metabolic variables affecting persons with type 2 diabetes mellitus. RESULTS: There is a direct effect of triglyceride levels (0.336) and body mass index (BMI) (0.164) on diabetes status. We also found that physical activity levels negatively affect BMI (−0.148) and positively affect high-density lipoprotein (HDL) (0.106); sociodemographic background negatively affects diet (−0.522) and BMI (−0.352); HDL positively affects total cholesterol (0.230) and has a negative effect on BMI (−0.108), triglycerides (−0.128) and waist circumference (−0.104). Diet has a positive effect on triglycerides (0.281) while family history of diabetes negatively affects total cholesterol (−0.104). BMI has a positive effect on waist circumference (0.788) and mediates the effects of physical activity over diabetes status (−0.028). BMI also mediates the effects that sociodemographic factors (−0.058) and physical activity (−0.024) have on diabetes status. BMI and HDL (−0.002) together mediate the effect of physical activity on diabetes status and similarly HDL and tryglycerides (−0.005) also mediate the effect of physical activity on diabetes status. Finally diet and tryglycerides mediate the effects that sociodemographic factors have on diabetes status (−0.049). CONCLUSIONS: This study's main finding is that triglyceride levels and BMI are the main variables directly affecting diabetes status in the Qatari population.