The Impact of Memory Change on Daily Life in Normal Aging and Mild Cognitive Impairment
Bibliographic record
Abstract
PURPOSE OF THE STUDY: Older adults with age-normal memory changes and those with amnestic mild cognitive impairment (aMCI) report mild memory difficulties with everyday problems such as learning new names or remembering past events. Although the type and extent of memory changes in these populations have been well documented, little is known about how memory changes impact their everyday lives. DESIGN AND METHODS: Using a qualitative research design, data were collected from three focus groups of older adults with normal memory changes (n = 23) and two focus groups of older adults with aMCI (n = 14). A thematic analysis using the constant comparative method was used to identify the impacts of memory change on key life domains. RESULTS: Four major themes emerged from the two groups, including changes in feelings and views of the self, changes in relationships and social interactions, changes in work and leisure activities, and deliberate increases in compensatory behaviors. Participants described both positive and negative consequences of memory change, and these were more substantial and generally more adverse for individuals with aMCI than for those with age-normal memory changes. IMPLICATIONS: There are similarities and important differences in the impact of mild memory change on the everyday lives of older adults with age-normal memory changes and those with aMCI. Findings underscore the need for clinical interventions that aim to minimize the emotional impact of memory changes and that increase leisure and social activity in individuals with aMCI.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".