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. 2014 Sep;43(9):1212–1220.

Table 2.

Four Logistic regression models predicting hypertension, SBP and DBP using WC D-value, BMI D-value or combined D-values a

Variables WC D-value BMI D-value WC D-value and BMI D-value
alone alone WC D-value BMI D-value
Males (n=1097)
Hypertension 1.04 (1.02-1.07)b 1.09 (1.04-1.18)b 1.03 (1.01-1.06)b 1.04 (0.97-1.12)
SBP 1.03 (1.01-1.06)b 1.08 (1.02-1.15)b 1.02 (1.01-1.05)b 1.04 (0.96-1.12)
DBP 1.09 (1.06-1.12)b 1.20 (1.11-1.30)b 1.06 (1.02-1.09)b 1.06 (0.98-1.14)
Females (n=1681)
Hypertension 1.03 (1.02-1.05)b 1.03 (0.98-1.09) 1.03 (1.01-1.05)b 1.01 (0.97-1.06)
SBP 1.04 (1.02-1.05)b 1.08 (1.03-1.13)b 1.03 (1.01-1.05)b 1.03 (0.98-1.09)
DBP 1.04 (1.01-1.06)b 1.03 (0.99-1.10) 1.03 (1.01-1.06)b 1.02 (0.97-1.08)

CI, confidence interval; OR, odds ratio; D-value, difference value. / a BMI D-value and WC D-value were included in the multilevel regression model as continuous variables, and the ORs were computed for each unit increase in BMI (kg/m2) and WC (cm). The ORs were adjusted for age, TC, HDL-C, LDL-C, FPG, TG, smoke and alcohol status, family history of hypertension. A low level of multicollinearity between WC D-value and BMI D-value, and among triglycerides, HDL-C, total cholesterol and LDL-C was found, because tolerance values were >0.5, VIF<10. / b Significantly greater odds, P<0.05