Factors influencing the impact of unemployment on mental health among young and older adults in a longitudinal, population-based survey
Bibliographic record
Abstract
OBJECTIVES: This study examined the relationship between unemployment and mental health. It particularly emphasized the potential differences in mental health status between younger workers entering the labor market and older workers with established laborforce involvement. METHODS: With the use of the National Population Health Survey in Canada, over 6000 respondents between 18 and 55 years of age in 1994 were followed up 2 years later. RESULTS: The results suggest that, among the 31- to 55-year-olds, becoming unemployed led to increases in distress and, to some extent, clinical depression at follow-up. This association between unemployment and mental health was not found among younger adults 18 to 30 years of age. Possible explanations for the null finding among young adults, such as decreased likelihood of low household income or increased likelihood of distressed young adults completely withdrawing from the workforce, were not supported. The notion that baseline mental health affects the chances of being unemployed at the time of a 24-month follow-up were partially supported. CONCLUSIONS: These findings from a representative sample suggest that both causation and selection processes lead to an association between unemployment and distress among older adults.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".