Depression and Anxiety in Voluntarily Unemployed People: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Unemployment impacts people's physical and psychological well-being, and gender and age affect mental health among the unemployed. Despite the correlation between unemployment and negative mental health outcomes being largely investigated in scientific literature, research on voluntarily unemployed individuals is scarce. A systematic review was performed on studies evaluating mental health outcomes in voluntarily unemployed adults. METHODS: Following the PRISMA statements, three databases were screened; research articles written in English investigating the relationship between mental health outcomes and employment status were included. The quality of articles was assessed using the Newcastle-Ottawa Scale. RESULTS: The initial search yielded 727 records; 4 studies were included in this systematic review. One study reported voluntarily unemployed people as less depressed than employed and unemployed people, one as more depressed than employed but less than unemployed people, one reported voluntarily unemployed people as less anxious but more depressed than employed and less anxious and depressed than unemployed people, one study reported voluntarily unemployed men as depressed and anxious more often than employed men. Further research should investigate mental health outcomes in voluntarily unemployed people and strategies to bring back these individuals into the workforce.
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.
How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".