Work-related predictors of mental health, presenteeism, and professional quality of life following exposure to a potentially traumatic event in child protection workers
Bibliographic record
Abstract
BACKGROUND: Exposure to potentially traumatic events (PTEs) at work can have a negative impact on the psychological health and work life of child protection workers (CPWs). The most common form of work-related PTE experienced by CPWs consists of aggressive behaviours from the youths or their parents. OBJECTIVE: This study aims to identify modifiable work-related variables that might influence the probability of experiencing impaired mental health and professional adjustment following a PTE. METHOD: = 161). Lagged linear mixed models allowed for the independent variables measured at Time 1, Time 2, and Time 3 to predict the outcome variables as measured on the next assessment (Time 2, Time 3, and Time 4, respectively). The outcomes of interest were insomnia symptoms, depressive symptoms, anxiety symptoms, and post-traumatic stress symptoms, as well as presenteeism (inadequate work performance) and professional quality of life. RESULTS: Confidence in one's own ability to cope with service user aggression negatively predicted depressive, anxiety, and post-traumatic stress symptoms as well as presenteeism, and positively predicted professional quality of life. The perception of job safety negatively predicted depressive, anxiety, and post-traumatic stress symptoms, and positively predicted professional quality of life. Finally, psychological demands from work positively predicted all mental health outcomes as well as presenteeism, and negatively predicted professional quality of life. CONCLUSIONS: This study identified work-related variables that could be modified in an attempt to prevent the negative impacts of exposure to work-related PTEs, especially, aggressive behaviours from the service users.
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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 | 0.005 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".