Optimal waist circumference cut-off points and prediabetic state as predictors of metabolic syndrome prevalence among Saudi adults in Jeddah city

With increasing prevalence of metabolic syndrome and absence local waist circumference cut-off point, it is important to determine the point predict syndrome. The aim this study estimate among Saudi adults who attend primary health care centers (PHC) in Jeddah city 2017, appropriate value for identifying a person at risk A cross-sectional analytic was conducted. Results shows; mean age participants 30.94±9.70 96.87±17.40 males 86.51±15.30 females. (CI: 95%) pre-diabetes 16.3% (12.9%; 20.1%), while {(95% CI = 10.6%) (7.80%; 13.8%)}. Abdominal obesity most frequent component MetS, detected 60.6%, followed by high blood pressure 25.0%. In males, circumference≥93.5 cm likely indicate MetS with 100% sensitivity 47.2% specificity; whereas, females, optimal determined as ≥83.5 cm, showing 92.3% 46.4% specificity. multivariate logistic regression, extended strongest predictor {OR (95%CI) =3.75 (1.30; 10.81); p=0.014}, presence =2.31 (1.06; 5.04); p=0.035}. Further, educational level significant 0.34 (0.12; 0.99); p=0.047}; marital status were not predictors.