Table 7.

Multivariate linear regression model—impact of FORTA, PRISCUS and EU(7)-PIM use on cognitive skills measured by LDST

LDST	Correlation coefficient	P value	95% CI
FORTA PIM per patient	−0.306	0.022	−0.567 to −0.044
PRISCUS PIM per patient	−0.118	0.428	−0.652 to 0.276
EU(7)-PIM per patient	−0.188	0.168	−0.416 to 0.072
Age	−0.172	<0.001	−0.384 to −0.296
Sex	−0.340	<0.001	2.114 to 3.050
CASMIN3_2	2.334	<0.001	1.799 to 2.869
CASMIN3_3	3.784	<0.001	3.000 to 4.567
Income	2.406	<0.001	1.868 to 2.943
Number of diseases weighted by severity	−0.121	<0.001	−0.170 to −0.073
Number of taken drugs	−0.004	0.921	−0.081 to 0.073

Dependent variable: results from LDST; independent variables: FORTA PIM, PRISCUS PIM, EU(7)-PIM; covariables included in the regression model: sex, age, education standard (casmin3_2: comparison between medium and low educational standard, casmin3_3: comparison between high and low educational standard), number of diseases weighted by severity, income and number of taken drugs.

All three PIM lists are included in one regression model.

FORTA, Fit fOR The Aged; LDST, letter digit substitution test; PIM, potentially inappropriate medication.