Part 1 | Vascular risk factors for depression and apathy 69 4 Interaction between vascular disease and neuroticism in women In women neuroticism independently predicted CRDS (OR 1.6, 95%-CI: 1.4-1.8). A model for late-life CRDS in women that included age, marital status, history of depression, disability, education, comorbid diseases and neuroticism (Nagelkerke R2: 0.43) wasn’t significantly improved by adding vascular disease levels or by adding factors for the interaction between neuroticism and vascular disease (Table 3). Table 3. Logistic regression of neuroticism, CVRF and their interaction factor on depression, separately for men en women Men (n=799) Women (n=597) Variable OR 95%-CI OR 95%-CI ≥2 Vascular risk factors 0.7 0.1-3.4 0.5 0.1-2.0 Cardiac disease 4.2 1.8-10.0 1.1 0.3-3.7 Stroke 5.0 1.5-16.2 0.01 0.0-2.6 Neuroticism (range 0-12) 1.7 1.5-1.9 1.6 1.4-1.8 Neuroticism by ≥2 vascular risk factors 0.9 0.7-1.2 1.0 0.8-1.3 Neuroticism by cardiac disease 0.8 0.6-0.9 1.0 0.8-1.3 Neuroticism by stroke 0.8 0.6-0.96 2.3 0.9-6.1 Age 1.0 0.9-1.0 1.0 1.0-1.1 Educational level (medium) 0.9 0.5-1.6 0.7 0.4-1.4 Educational level (high) 1.1 0.7-1.8 0.4 0.2-0.9 Marital status 2.4 1.5-3.7 1.9 1.1-3.1 Disability 0.9 0.5-1.6 1.1 0.6-1.9 Chronic diseases (one) 0.8 0.5-1.3 1.1 0.7-1.9 Chronic diseases (two or more) 0.8 0.4-1.6 0.7 0.4-1.5 History of major depression 1.2 0.6-2.6 2.0 0.9-4.2 Abbreviations: CVRF, cerebrovascular risk factors Note Adjusted for age, marital status, educational level, comorbidity, disability and history of depression Men: Chi-square for Model with vs. Model without interaction factor: 9.31; p=0.03 Nagelkerke R square 0.28; Cox & Snell R square 0.17. Women: Chi-square for Model with vs. Model without interaction factor: 5.70; p=0.13 Nagelkerke R square 0.44; Cox & Snell R square 0.31.
RkJQdWJsaXNoZXIy MjY0ODMw