Preventing decline of autonomy through the promotion of mental health: a randomized clinical trial for older adults with disabilities
Bibliographic record
Abstract
Among older adults with disabilities, maintaining active aging can often be compromised. However, the literature highlights a positive link between mental health and autonomy on one hand, and self-determined motivation on the other. Therefore, self-determined motivation may be improved by promoting mental health and, in the end, older adults autonomy. In this context, the « pôle bien-être autonomie », a mental health promotion program, has been set up to offer activities adapted to the disabilities and needs of the elderly, hence fostering active aging. The purpose of this longitudinal study is to test the hypothesis that promoting the mental health of disabled older adults would preserve their autonomy through the development of self-determined motivation. The theoretical model was tested using structural equation modelling on data of 170 participants. A RCT was conducted between 2019 and 2021 with the same cohort. Results of the structural equation modelling support the importance of promoting mental health in maintaining active aging. Evaluation of the promotion program indicates a decrease in levels of depression, an increase in the frequency of self-determined activities and in the autonomy of beneficiaries after three months of operation. The discussion focuses on the relevance of a processual analysis of the promotion program and on new directions to maintain autonomy for seniors with disabilities.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".