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. 2018 Mar 30;31(7):797–803. doi: 10.1093/ajh/hpy050

Table 2.

Multivariate logistic regression models with two-way interaction terms to determine the effect of sex and risk factors for orthostatic hypotension

Variables OR (95% CI) P value
Model 1
 SBP ≥ 140 0.87 (0.46–1.64) 0.678
 SBP ≥ 140 × sex 4.53 (1.94–10.58) <0.0001
Model 2
 DBP ≥ 90 0.72 (0.44–1.18) 0.201
 DBP ≥ 90 × sex 1.22 (0.79–1.89) 0.367
Model 3
 Pulse pressure 0.99 (0.98–1.00) 0.647
 Pulse pressure × sex 0.99 (0.99–1.00) 0.745
Model 4
 Antihypertensive treatment 0.97 (0.60 – 1.57) 0.974
 Antihypertensive treatment × sex 1.13 (0.75 – 1.70) 0.546
Model 5
 BMI 0.93 (0.90–0.97) <0.0001
 BMI × sex 0.99 (0.98–1.01) 0.779
Model 6
 Diabetes mellitus 1.52 (0.74–2.47) 0.090
 Diabetes mellitus × sex 1.12 (0.74–1.67) 0.579
Model 7
 Age 0.99 (0.97–1.00) 0.570
 Age × sex 0.99 (0.99–1.01) 0.360

Each model was adjusted by hypertension, antihypertensive treatment, pulse pressure, BMI, diabetes mellitus and age. Abbreviations: BMI, body mass index; CI, confidence interval; DBP, diastolic blood pressure; OR, odds ratio; SBP, systolic blood pressure.