Abstract：Objective To explore the correlation between diabetes mellitus and its related factors based on generalized additive model and generalized linear model. Methods A stratified cluster sampling method was used to select permanent residents aged 18 years and above in 5 cities/counties of Guangxi from 2010 to 2012, and 3,827 selected residents served as the research subjects. A questionnaire survey was conducted, and the residents’ height, weight, blood pressure, waist circumference (WC)and fasting plasma glucose(FPG)were measured. Results The prevalence rate of diabetes mellitus was 9.4%, and no statistically significant difference was found in the prevalence rate between males and females (10.3% vs. 8.8%, χ2=2.629, P=0.105). Single factor analysis showed that 7 factors, including age, urban and rural areas, ethnic origin, educational background, marital status, drinking, and obesity phenotypes (OBPH), were associated with diabetes mellitus (P<0.01). Multivariate logistic regression analysis indicated that the risk of diabetes mellitus was higher in urban areas than in rural areas (OR=0.633,95%CI:0.499-0.802, P=0.000), higher in residents aged 60 years and above than in ones aged 35 years and below (OR=14.037, 95%CI:6.538-30.134, P=0.000) as well as higher in the residents with central obesity & overweight or central obesity & obesity than in ones with normal-weight (OR=2.259, 95%CI:1.705-2.994, P=0.000; OR=2.068, 95%CI:1.368-3.125, P=0.001). Generalized additive model and generalized linear model revealed that a type-J non-linear relationship was found between drinking and diabetes mellitus (χ2=7.712, P=0.019), and residents with drinking <once per week or ≥ 6 times per week were at an increased risk of developing diabetes mellitus. A type-reversed-tilde linear relationship was found between obesity phenotypes and diabetes mellitus (χ2=13.547, P=0.008), and residents with central obesity or low weight were at an increased risk of developing diabetes mellitus. Conclusions Generalized additive and generalized linear models can directly show the non-linear relationship between diabetes mellitus and alcohol consumption, obesity phenotypes.
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2018, Vol. 25 
