Table 6.

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

LDST	Correlation coefficient	P value	95% CI
FORTA PIM per patient	−0.397	0.002	−0.644 to −0.150
Age	−0.340	<0.001	−0.383 to −0.296
Sex	2.538	<0.001	2.072 to 3.004
CASMIN3_2	2.348	<0.001	1.813 to 2.883
CASMIN3_3	3.791	<0.001	3.007 to 4.575
Income	2.407	<0.001	1.869 to 2.945
Number of diseases weighted by severity	−0.121	<0.001	−0.169 to −0.072
Number of taken drugs	−0.034	0.340	−0.105 to 0.036
PRISCUS PIM per patient	−0.464	0.025	−0.870 to −0.058
Age	−0.340	<0.001	−0.383 to −0.296
Sex	2.560	<0.001	2.093 to 3.026
CASMIN3_2	2.366	<0.001	1.831 to 2.901
CASMIN3_3	3.776	<0.001	2.992 to 4.561
Income	2.423	<0.001	1.885 to 2.961
Number of diseases weighted by severity	−0.127	<0.001	−0.176 to −0.079
Number of taken drugs	−0.060	0.079	−0.127 to 0.007
EU(7)-PIM per patient	−0.300	0.005	−0.508 to −0.092
Age	−0.344	<0.001	−0.387 to −0.300
Sex	2.597	<0.001	2.130 to 3.065
CASMIN3_2	2.351	<0.001	1.815 to 2.886
CASMIN3_3	3.772	<0.001	2.998 to 4.556
Income	2.409	<0.001	1.871 to 2.947
Number of diseases weighted by severity	−0.127	<0.001	−0.176 to −0.079
Number of taken drugs	−0.025	0.507	−0.101 to 0.050

Dependent variable: results from LDST; independent variables: FORTA PIM or PRISCUS PIM or 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.

Every PIM list is analysed separately in the same regression model.

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