Consequences of loneliness on physical activity and mortality in older adults and the power of positive emotions.
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.
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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 | 0.001 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".