Table 3. Summary of linear mixed models.
Dependent variable: MMSE | |||
---|---|---|---|
Coefficient | SE | P value | |
Variable (In the whole sample) | |||
Aspirin users (baseline) | 0.1813 | 0.1704 | 0.2874 |
Aspirin users × time | -0.0069 | 0.0228 | 0.7626 |
Variable (CN) | |||
Aspirin users (baseline) | -0.1346 | 0.1157 | 0.2445 |
Aspirin users × time | 0.0088 | 0.0226 | 0.6988 |
Variable (MCI) | |||
Aspirin users (baseline) | 0.0966 | 0.1863 | 0.6039 |
Aspirin users × time | -0.0410 | 0.0320 | 0.2003 |
Variable (AD) | |||
Aspirin users (baseline) | -0.1363 | 0.3926 | 0.7285 |
Aspirin users × time | 0.7004 | 0.2309 | 0.0024 |
Abbreviations: CN: cognitively normal; MCI: mild cognitive impairment; AD: Alzheimer’s disease; MMSE: mini-mental state examination. Notes: Mixed models were conducted within the whole sample and each diagnostic group. Predictors included age, education, gender, APOE4 genotype, hypertension, diabetes, aspirin using status (non-aspirin users vs aspirin users) and their interactions with time.