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. 2020 Mar 26;13(2):245–255. doi: 10.1159/000506689

Table 4.

Univariate and multivariate regression analysis of the relationship between obesity category, defined using a combination of BMI and WC, and the risk of hypertension, classified according to sex

Variable n Incidence of hypertension, n (%) Crude model
Multivariate analysis
OR (95% CI) p value OR (95% CI) p value
Men
 G1 434 56 (12.9) 1 1
 G2 128 26 (20.3) 1.72 (1.03–2.88) 0.039 1.47 (0.84–2.55) 0.177
 G3 42 15 (35.7) 3.75 (1.88–7.48) <0.001 3.10 (1.48–6.50) 0.003
p for trend <0.001 0.003
Women
 G1 1,043 104 (10.0) 1 1
 G2 189 32 (16.9) 1.84 (1.20–2.83) 0.006 1.31 (0.82–2.09) 0.265
 G3 91 22 (24.2) 2.88 (1.71–4.85) <0.001 2.51 (1.43–4.40) 0.001
p for trend <0.001 0.002

Men: G1 (BMI <30, WC <90 cm); G2 (BMI <30, WC ≥90 cm) or (BMI ≥30, WC <90 cm); G3 (BMI ≥30, WC ≥90 cm). Women: G1 (BMI <30, WC <85 cm); G2 (BMI <30, WC ≥85 cm) or (BMI ≥30, WC <85 cm); G3 (BMI ≥30, WC ≥85 cm). The data were adjusted for age, estimated glomerular filtration rate, current smoking, current drinking, diabetes, dyslipidemia, baseline systolic blood pressure, cardiovascular disease, antidiabetic drug use, and lipid-lowering drug use. WC, waist circumference; BMI, body mass index; OR, odds ratio; CI, confidence interval.