Table 2.

Odds ratio (95% CI) and β-coefficient in non-lab model and semi-lab model estimated by logistic regression analysis using the data from the training set.

Factors	Non-lab(n = 8096)			Semi-lab(n = 8096)
	β-Coefficient	P-Value	OR(95%CI)	β-Coefficient	P-Value	OR(95%CI)
Age(years)	0.05	<0.01	1.05(1.04–1.06)	0.06	<0.01	1.06(1.05–1.07)
Gender
Female	−	−	1.00	−	−	1.00
Male	0.28	<0.01	1.32(1.11–1.57)	−0.07	0.01	0.94(0.72–1.21)
Ethnic groups
Han	−	−	1.00	−	−	1.00
Korean	0.22	0.08	1.24(0.97–1.59)	0.15	0.31	1.16(0.87–1.53)
Dai	−0.01	0.93	0.99(0.76–1.28)	0.17	0.32	1.19(0.86–1.56)
Kazak	−1.42	<0.01	0.24(0.15–0.37)	−1.44	<0.01	0.24(0.14–0.38)
Uyghur	−0.83	<0.01	0.48(0.31–0.60)	−0.54	<0.01	0.58(0.40–0.82)
Zhuang	−0.03	0.78	0.97(0.78–1.20)	−0.06	0.64	0.94(0.73–1.21)
Vegetable daily consumption
Very low	−	−	1.00	−	−	1.00
Low	−0.60	0.33	0.55(0.18–2.11)	−0.98	0.15	0.37(0.11–1.68)
Normal	−1.01	0.09	0.36(0.12–1.36)	−1.39	0.04	0.25(0.07–1.08)
High	−0.98	0.11	0.37(0.12–1.41)	−1.27	0.06	0.28(0.08–1.23)
Hypertension
No	−	−	1.00	−	−	1.00
Yes	0.47	<0.01	1.60(1.36–1.90)	0.28	<0.01	1.32(1.09–1.60)
Family history of DM
No	−	−	1.00	−	−	1.00
Yes	0.54	<0.01	1.72(1.41–2.08)	0.37	<0.01	1.45(1.16–1.81)
BMI(kg/m2)	0.08	<0.01	1.08(1.04–1.12)	0.09	<0.01	1.10(1.06–1.14)
Waist circumference(cm)	0.03	<0.01	1.03(1.02–1.04)	0.02	0.01	1.02(1.01–1.04)
Glycosuria qualitative
−				−	−	1.00
+/−				1.62	<0.01	5.05(2.80–8.75)
+				2.28	<0.01	24.96(19.15–32.63)
Interactive effect
Others				−	−	1.00
+/− *Gender = male				−0.19	0.65	0.82(0.36–1.89)
+ *Gender = male				−0.50	0.01	0.61(0.41–0.90)

AIC, Akaike information criterion; BIC, Bayesian information criterion; OR, odds ratio; BMI, body mass index. +/−*Gender = male means glycosuria qualitative +/− interactive with male gender, +*Gender = male means glycosuria qualitative + interactive with male gender.