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. 2020 Mar 9;20(4):1118–1127. doi: 10.5114/aoms.2020.93537

Table III.

Logistic regression model for polypharmacy

Characteristics Polypharmacy
≥ 5 drugs ≥ 8 drugs
OR 95% CI P-value OR 95% CI P-value
Gender:
 Women 1.86 1.24–2.80 0.003
 Men Base
Age 1.05 1.02–1.08 0.002 1.02 1.00–1.04 0.109
Number of chronic health problems: 1.24 1.07–1.45 0.005 1.11 1.02–1.20 0.016
 A 1.17 0.47–3.00 0.735
 D 1.55 0.88–2.75 0.131 0.77 0.51–1.16 0.204
 F 0.91 0.56–1.47 0.696
 H 1.20 0.49–2.91 0.688
 K 2.43 1.37–4.30 0.002 2.53 1.56–4.11 < 0.001
 L 0.66 0.39–1.13 0.130 0.99 0.67–1.48 0.974
 N 0.62 0.31–1.27 0.195 1.13 0.68–1.87 0.644
 P 0.98 0.55–1.75 0.953 0.96 0.64–1.46 0.851
 R 1.19 0.61–2.33 0.619 1.06 0.68–1.67 0.788
 T 1.49 0.86–2.61 0.159 1.32 0.87–2.01 0.192
 U 0.67 0.35–1.26 0.214 1.03 0.64–1.65 0.909
 X 1.24 0.45–3.38 0.678
 Y 0-77 0.39–1.53 0.451 1.33 0.75–2.33 0.329
Number of prescribers 4.71 3.42–6.48 < 0.001 2.32 1.97–2.73 < 0.001

OR – odds ratio, A – general and unspecified, D – digestive, F – eye, H – ear, K – circulatory, L – musculoskeletal, N – neurological, P – psychological, R – respiratory, S – skin, T – endocrine, metabolic and nutritional, U – urology, X – female genital system and breast, Y – male genital system.