Consequences of loneliness on physical activity and mortality in older adults and the power of positive emotions.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: This study examined the longitudinal relationships between loneliness, physical activity, and mortality in older adults. This study also tested the implication of Fredrickson's Broaden and Build Theory (1998, 2001) that positive emotions (happiness) might serve to "undo" the detrimental effects of negative emotions (loneliness). METHOD: Participants (n = 228; 62% female; aged 77-96 years) took part in the Aging in Manitoba Study (2001) and the Successful Aging Study (2003). Mortality information was assessed in 2008. RESULTS: Regression analyses showed that loneliness longitudinally predicted perceived physical activity and mortality. Moreover, in support of Fredrickson's theory, happiness moderated these relationships, suggesting that happiness had the power to "undo" the detrimental effects of loneliness on activity and mortality. CONCLUSIONS: Loneliness is an independent risk factor for mortality and reduced physical activity among older adults; however, being happy may offset the negative consequences of being lonely. Future interventions could target positive emotions and loneliness as a way of ultimately enhancing the lifespan and wellspan of older adults.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it