It’s all in the hair: Changes in hair cortisol concentrations in reaction to the COVID-19 pandemic predicts post-traumatic stress symptoms in children
Bibliographic record
Abstract
About 25 to 35% of victims of a traumatic event will develop post-traumatic stress disorder (PTSD). Low cortisol levels appear to be a risk factor for the development of PTSD. In adults, decreased diurnal and cumulative cortisol levels before or shortly after a traumatic event are associated with increased post-traumatic symptoms in the months thereafter. In contrast, results from the only two studies conducted in children showed that elevated diurnal cortisol levels shortly after exposure to a traumatic event are associated with more severe post-traumatic symptomatology. Given that a pandemic can induce post-traumatic stress symptoms, we investigated whether cumulative cortisol levels prior to and in the beginning stages of the COVID-19 pandemic in Quebec (Canada) predicted post-traumatic stress symptoms in children. We collected hair samples from 69 children (8-12 y/o) without history of psychopathology and exposure to a traumatic event. Cortisol levels were measured before (December 2019 - February 2020) and at the beginning of the pandemic (March 2020 - May 2020). Post-traumatic stress symptoms were assessed every 3 months between June 2020 (T1) and March 2021 (T4). The results showed that the percentage change in cumulative cortisol levels between the beginning of and prior to the pandemic predicted post-traumatic stress symptoms at T1. Specifically, a decrease in cortisol levels early in the pandemic was associated with increased post-traumatic stress symptoms. This study suggests that a decrease in cortisol in response to a stressful event may be a predisposing factor for PTSD in children.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.000 | 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".