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. 2018 Mar 22;8(3):e019003. doi: 10.1136/bmjopen-2017-019003

Table 2.

Results of the univariable and multivariable logistic regression analyses for the association between age, sex, multimorbidity and polypharmacy with potentially inappropriate prescribing

Explanatory variable Univariable model P value Multivariable model* P value
OR (95% CI) OR (95% CI)
Age (years) 1.02 (0.99 to 1.06) 0.22 0.99 (0.94 to 1.03) 0.54
Females (vs males) 1.18 (0.70 to 1.96) 0.54 1.47 (0.84 to 2.59) 0.18
Multimorbidity† 3.24 (1.93 to 5.44) <0.01 2.08 (1.16 to 3.73) <0.01
Polypharmacy‡ 5.52 (3.10 to 9.86) <0.01 4.81 (2.52 to 9.16) <0.01

*Adjusted for age, sex, multimorbidity, polypharmacy and country.

†Multimorbidity: defined as the co-occurrence of three or more chronic conditions.

‡Polypharmacy: defined as five or more regular medicines.