Sense of Purpose in Life Predicts Reduced Risk for and Delayed Onset of Mild Cognitive Impairment: A Multistate Survival Model
Bibliographic record
Abstract
Abstract Background With no known cure for Alzheimer’s disease and related dementias, delaying the onset of cognitive decline represents a key target for future dementia research. Sense of purpose has been shown to be associated with high cognitive functioning, more supportive social ties, and greater intellectual activity, and may be valuable for mitigating cognitive impairment both before and following its onset. Method Longitudinal data from the Health and Retirement Study (HRS, n = 10,542) and the Rush Memory and Aging Project (MAP, n = 10.48) were used to examine associations between sense of purpose and prospective transitions across normal cognition, mild cognitive impairment (MCI), dementia, and death over up to 12 and 19 years, respectively. Multistate survival modeling examined the impact of sense of purpose on risk for each transition, adjusting for age, sex, education, apolipoprotein‐E allele, and depressive symptoms. Multinomial regression was used to estimate life expectancy in each cognitive state. Result More purposeful older adults were found to have lower prospective risk of developing MCI in the HRS (HR = 0.93, 95% CI: 0.90, 0.97) and MAP (HR = 0.82, 95% CI: 0.69, 0.98) and had increased likelihood of improvement in cognitive functioning following MCI classification. In both samples, those higher in sense of purpose were found to have significantly longer overall life expectancy and life expectancy free of cognitive impairment (without MCI or dementia). Conclusion Older adults higher in sense of purpose appear to live longer lives, with these differences in life expectancy attributable to increases in years lived without cognitive impairment. Replication of findings across longitudinal studies with disparate samples and measurement procedures provides robust support that having a strong sense of purpose in life contributes to cognitive reserve and resilience. Interventions aiming to promote older adult sense of purpose could extend the cognitive healthspan—the period in which individuals live in a cognitively healthy state free of impairment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".