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

Table 3.

Univariate and multivariate logistic regression models to determine risk factors associated with orthostatic hypotension

Risk factors Women Men
Univariate Multivariate Univariate Multivariate
OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Vascular risk factors
 SBP ≥ 140 3.51 (1.71–7.18) 5.25 (2.30–11.97) 0.62 (0.34–1.11) 0.57 (0.24–1.34)
 DBP≥ 90 1.01 (0.63–1.63) 0.75 (0.45–1.25) 0.80 (0.46–1.39) 1.15 (0.59–2.23)
 PP 1.00 (0.99–1.01) 0.99 (0.98–1.00) 0.99 (0.98–1.01) 0.99 (0.98–1.01)
 Antihypertensive treatment 1.02 (0.63–1.66) 0.89 (0.52–1.51) 1.03 (0.55–1.94) 1.25 (0.61–2.56)
Metabolic risk factors
 BMI 0.96 (0.92–1.00) 0.95 (0.91–0.99)* 0.90 (0.85–0.95) 0.91 (0.85–0.96)
 Diabetes mellitus 1.51 (0.90–2.55) 1.65 (0.95–2.88) 1.65 (0.88–3.08) 1.68 (0.86–3.29)
Demographic risk factors
 Age 0.98 (0.96–1.01) 0.97 (0.94–0.99)* 1.03 (1.00–1.06)* 1.02 (0.98–1.06)

Univariate analyses explore the associations between individual risk factors and OH. Multivariate models included all the listed risk factors in the same regression model. *P < 0.05; P < 0.01; P < 0.001. Abbreviations: OR, odds ratio; CI, confidence interval; SBP, systolic blood pressure; DBP, diastolic blood pressure; PP, pulse pressure; BMI, body mass index.