Hair Cortisol as a Biomarker of Stress Among a First Nation in Canada
Bibliographic record
Abstract
BACKGROUND: Cortisol level in hair is increasingly being used as a biomarker of chronic stress. Members of First Nation communities in Canada are experiencing stress related to a higher incidence of chronic diseases, socioeconomic factors, the state of their environment, and cultural oppression. This study aimed to investigate hair cortisol as a biomarker of stress in this population. MATERIALS AND METHODS: Hair samples were collected from the posterior vertex of 55 Walpole Island First Nation (WIFN) volunteers and compared with white volunteers living in and around London, ON, Canada. An enzyme-linked immunosorbent assay technique was used to measure cortisol content in 1 cm of hair, considered to represent 1 month of growth. In parallel, the Perceived Stress Scale (PSS), which measures short-term stress, was also completed. RESULTS: Median hair cortisol level (range) in WIFN volunteers was 177 (93-273) ng/g, significantly higher than the median hair cortisol in the healthy white controls of 116 (26-204) ng/g (P < 0.0001, Mann-Whitney U test). Hair cortisol correlated positively with gender, smoking status, and self-reported diabetes. Unlike hair cortisol, the Perceived Stress Scale did not differentiate between the First Nation and control population. CONCLUSIONS: The increased hair cortisol concentrations among WIFN volunteers compared with volunteers from a non-First Nation community suggests higher levels of chronic stress. The causes for this apparent increased stress are likely due to factors such as socioeconomic and poorer health and are worthy of further evaluation. The results highlight the difference between acute stress measured for short periods of time compared with chronic stress, measured by hair analysis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".