Reasons for living, meaning in life, and suicide ideation: investigating the roles of key positive psychological factors in reducing suicide risk in community-residing older adults
Bibliographic record
Abstract
OBJECTIVES: To investigate the roles of reasons for living (RFL) and meaning in life (MIL) in potentially promoting mental health and well-being and protecting against suicide ideation among community-residing older adults and to investigate the psychometric properties of the Reasons for Living Scale-Older Adult version (RFL-OA). METHOD: Of 173 older adults initially recruited into a longitudinal study on late-life suicide ideation, 109 completed the RFL-OA and measures of cognitive and physical functioning and positive and negative psychological factors at a two-year follow-up assessment. We tested a model in which RFL and MIL protect against suicide ideation, controlling for demographic and clinical factors. We also assessed the psychometric properties of the RFL-OA in community-residing older adults, investigating its internal consistency and its convergent (MIL, perceived social support, and life satisfaction), divergent (loneliness, depressive symptom severity, and suicide ideation), and discriminant validity (cognitive and physical functioning). RESULTS: RFL-OA scores explained significant variance in suicide ideation, controlling for age, sex, depressive symptom severity, and loneliness. MIL explained significant unique variance in suicide ideation, controlling for these factors and RFL, and MIL significantly mediated the association between RFL and suicide ideation. Psychometric analyses indicated strong internal consistency (α = .94), convergent, divergent, and discriminant validity for the RFL-OA relative to positive and negative psychological factors and cognitive and physical functioning. CONCLUSION: These findings add to a growing body of literature suggesting merit in investigating positive psychological factors together with negative factors when assessing suicide risk and planning psychological services for 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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".