Evaluating the mental health status, help-seeking behaviors, and coping strategies of Canadian essential workers versus non-essential workers during COVID-19: a longitudinal study
Bibliographic record
Abstract
OBJECTIVE: This study examined mental health symptoms, help-seeking, and coping differences between Canadian essential workers (EWs) versus non-EWs, as well as common COVID-related concerns and longitudinal predictors of mental health symptoms among EWs only. DESIGN: = 821; RR = 53.7%). METHODS: Cross tabulations and chi-square analyses examined sociodemographic, mental health, and coping differences between EWs and non-EWs. Frequencies evaluated common COVID-related concerns. Linear regression analyses examined associations between baseline measures with mental health symptoms six months later amongst EWs. RESULTS: EWs reported fewer mental health symptoms and avoidance coping than non-EWs, and were most concerned with transmitting COVID-19. Both groups reported similar patterns of help-seeking. Longitudinal correlates of anxiety and perceived stress symptoms among EWs included age, marital status, household income, accessing a psychologist, avoidant coping, and higher COVID-19-related distress. CONCLUSIONS: COVID-19 has had a substantial impact on the mental health of Canadian EWs. This research identifies which EWs are at greater risk of developing mental disorders, and may further guide the development of pandemic-related interventions for these workers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".