The literature on Alzheimer’s disease (AD) provides little data about long-term cognitive course trajectories. We identify global cognitive outcome trajectories and associated predictor variables that may inform clinical research and care.

Data derived from the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set were used to examine the cognitive course of persons with possible or probable AD, a Mini-Mental State Examination (MMSE) of ≥10, and complete annual assessments for 5 years.

Thirty-six Alzheimer’s Disease Research Centers.

Four hundred and fourteen persons.

We used a hybrid approach comprising qualitative analysis of MMSE trajectory graphs that were operationalized empirically and binary logistic regression analyses to assess 19 variables’ associations with each trajectory. MMSE scores of ±3 points or greater were considered clinically meaningful.

Five distinct cognitive trajectories were identified: fast decliners (32.6%), slow decliners (30.7%), zigzag stable (15.9%), stable (15.9%), and improvers (4.8%). The decliner groups had three subtypes: curvilinear, zigzag, and late decline. The fast decliners were associated with female gender, lower baseline MMSE scores, a shorter illness duration, or receiving a cognitive enhancer. An early MMSE decline of ≥3 points predicted a worse outcome. A higher rate of traumatic brain injury, the absence of an ApoE ϵ4 allele, and male gender were the strongest predictors of favorable outcomes.

Our hybrid approach revealed five distinct cognitive trajectories and a variegated pattern within the decliners and stable/improvers that was more consistent with real-world clinical experience than prior statistically modeled studies. Future investigations need to determine the consistency of the distribution of these categories across settings.

Self-rated health is one of the most widely used measures in gerontology, but it has not been evaluated systematically in older adults with schizophrenia (OAS). Therefore, the aim of this study was to determine the utility of self-rated health in OAS by examining its influencing factors and contrasting these findings with a community comparison (CC) group.

We compared 249 community-dwelling persons aged 55 years and older having a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, diagnosis of schizophrenia arising before age 45 years with a demographically similar group of 113 older adults in the general community. Using a modified version of Ocampo’s model of self-rated health, we identified 12 predictor variables within 5 dimensions.

There were no significant differences in self-health ratings between the OAS and the CC groups. Six of the 12 variables in the model significantly correlated with self-rated health in both groups. In linear regression analysis, three variables were significantly associated with self-rated health in both groups: Center for Epidemiological Studies−Depression score, number of physical disorders, and perception of self-health versus others. Self-rated health assessment was not associated with positive or negative symptoms or lack of awareness of mental illness.

There was a striking similarity in the factors influencing self-rated health in the two groups. The findings were consistent with results of previous gerontological studies that self-rated health reflects elements of psychiatric and physical well-being, as well as perceptions of their age peers. Our results support the use of self-rated health as a legitimate clinical and research measure in OAS.