Association between daily life experience and psychological well-being in people living with nonpsychotic mental disorders
Bibliographic record
Abstract
BACKGROUND: Evidence has shown that people living with nonpsychotic mental disorders experience difficulties in maintaining their daily living, consequently impacting on psychological well-being. However, the role of daily life experience remains unclear. This systematic review and meta-analysis aims to determine the association between daily life experience and psychological well-being in people living with nonpsychotic mental disorders, and evaluate daily life experience as a moderator of psychological well-being in this population. METHODS: Literature search will be performed using a combination of title/abstract words and subject headings on 7 electronic databases according to predefined inclusion and exclusion criteria. Data will be extracted by 4 independent reviewers (JH, SPCN, WKKW, and WKH). Disagreement will be resolved by discussion with senior reviewers. Observational studies involving subjects with unipolar depression, bipolar disorder, anxiety disorder, acute stress disorder, as post-traumatic stress disorder as distinct groups with quantitative measurement of daily life experience and psychological well-being will be included. RESULTS: Effect sizes will be pooled by random effects model. The quality of the studies will be assessed using Newcastle-Ottawa scale. Heterogeneity between studies will be quantified using I index. This review is registered in PROSPERO. CONCLUSIONS: While symptoms and existing treatments of nonpsychotic mental disorders could be long term and dependent upon medical regimens, sustaining daily life experience will be a potentially important and concrete pathway that empowers patients to recover from the disorders, maintain or enhance psychological well-being, and be reintegrated into society. Findings of this review will inform prospective interventional trials of enhancing daily life experience in prevention of recurrence and enhancing psychological well-being in people living with nonpsychotic mental disorders.
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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 | 0.012 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.011 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".