The Influence of Lifelong Learning on Life Satisfaction and Successful Aging in Older Adults: A Narrative Literature Review
Bibliographic record
Abstract
Purpose: To explore the association between lifelong learning (LL) and successful aging and discover ways that primary care nurses (PCNs) may facilitate successful aging by promoting LL. Method: A narrative review of international evidence from Google Scholar, PubMed, CINAHL Plus, Ovid, and ProQuest was conducted. Twenty-one articles were reviewed. A theoretical framework supported by Troutman-Jordan's theory of successful aging and Baltes and Baltes' model of selection, optimization, and compensation were implemented to examine and illustrate findings. Results: Evidence consistently showed a positive correlation between LL and successful aging. Conclusion: Promotion of successful aging is an important consideration in PCN practice. This study brings awareness to the value of LL in achieving that goal. Incorporating strategies, such as encouraging creative activities and healthy behaviors, cultivating positive perceptions about aging, and helping patients meet their perceived needs, fosters coping with growing older. [ Journal of Gerontological Nursing, 50 (8), 11–17.]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".