Health-related adverse work outcomes associated with post COVID-19 condition: a cross-sectional study
Bibliographic record
Abstract
Introduction: Symptoms from post COVID-19 condition (PCC) can impair functioning in working-age adults. However, there is uncertainty about the relationship between PCC and work outcomes. This study aimed to assess health-related adverse work outcomes in individuals with a PCC history compared with others who had COVID-19. Methods: This was a cross-sectional study in which participants in British Columbia (BC) completed an online questionnaire. Participants comprised adults who tested positive for SARS-CoV-2 by PCR at least 2 years before questionnaire completion and were working age (18-64) at the time of infection. PCC status was determined by self-report. The health-related adverse work outcomes evaluated included change in occupation or employer, reduced workload, increased sick days compared with before COVID-19, early retirement and indefinite sick leave. Analyses were weighted to reflect the characteristics of individuals who had COVID-19 in BC. Propensity score overlap weighting was used to adjust for relevant sociodemographic and clinical covariates. Results: Among 1106 participants, 966 (87.3%) were employed when they contracted SARS-CoV-2 and included in analyses. Of these participants, 47.8% were female, the median age was 37 and 46.9% had a PCC history. Compared with other individuals who had COVID-19, those with a PCC history were more likely to have had a health-related adverse work outcome (46.5% vs 24.9%; adjusted OR (aOR) 2.6 (95% CI 1.7 to 4.0)) and reported a greater number of sick days in the first 2 years since contracting SARS-CoV-2 (adjusted mean difference 43 days (95% CI 20 to 65)). The risk of a health-related adverse work outcome was especially high in those with post-COVID-19 fatigue (aOR 4.6 (95% CI 2.7 to 7.9)), fever (aOR 4.0 (95% CI 1.7 to 9.6)), weakness (aOR 3.8 (95% CI 2.2 to 6.3)), palpitations (aOR 3.3 (95% CI 2.0 to 5.0)) and brain fog (aOR 3.2 (95% CI 2.0 to 5.0)). Conclusions: PCC is associated with health-related adverse work outcomes. This is an important consideration for clinicians, employers and health system leaders.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".