Table 4.
Model | Variable | Number of psychotropic molecules | |||||
---|---|---|---|---|---|---|---|
0 vs ≥1 | ≤1 vs ≥2 | ||||||
OR | 95% CI | p | OR | 95% CI | p | ||
3.1 | MMSE | 2.76 | 0.42–18.13 | .29 | 10.33 | 1.96–54.36 | .006 |
3.2 | MoCA | 1.89 | 0.81–4.41 | .14 | 4.42 | 1.80–10.90 | .001 |
3.3 | TMT A | 1.29 | 0.49–3.39 | .61 | 2.47 | 0.94–6.55 | .07 |
3.4 | TMT B | 0.88 | 0.28–2.81 | .83 | 2.97 | 1–9.14 | .05 |
3.5 | TMT B-A | 0.75 | 0.18–3.19 | .70 | 5.76 | 1.67–19.80 | .005 |
3.6 | TUG | 1.03 | 0.43–2.44 | .96 | 3.87 | 1.52–9.88 | .005 |
Different models were used to analyze the links between the number of psychotropic molecules taken and impaired MMSE (Model 3.1), impaired MoCA (Model 3.2), impaired TMT B (Model 3.3), impaired TMT B-A (Model 3.3), and impaired TUG (Model 3.5). All models were adjusted for covariates: age, education level, and comorbidities for MMSE; comorbidities and age only for MoCA (standard scores already adjusted for education level); comorbidities only for TMT scores; and BMI, handgrip strength, comorbidities, and risk of falls for TUG. Impaired scores on TMT B and TMT B-A were already stratified by age and education (Nasreddine et al., 2005), and impaired TUG scores, by age (Sanchez-Cubillo et al., 2009).