Past-Year Racial Discrimination and Allostatic Load Among Indigenous Adults in Canada: The Role of Cultural Continuity
Bibliographic record
Abstract
OBJECTIVE: This study aimed to examine the association between racial discrimination and allostatic load (AL) and whether this association was moderated by cultural continuity among Indigenous adults. METHODS: Data were collected from Indigenous adults attending university in a small city in western Canada between 2015 and 2017 (mean age = 27.8 years). The Experience of Discrimination Situation Score and the Vancouver Index Enculturation Subscale were used to assess racial discrimination and cultural continuity, respectively. AL was measured as a composite of seven biomarkers assessing neuroendocrine, cardiovascular, metabolic, and immune system function. Bias-corrected and accelerated bootstrapped linear regression models were used to examine associations adjusting for confounders (n = 104; 72.5% women). RESULTS: Across the full sample, racial discrimination was associated with a linear, dose-response increase in AL score after adjustment for confounders. Among adults with low cultural continuity, past-year discrimination was associated with increased AL and explained 22% (adjusted R) of the variance in AL score. Taken together, the full model including age, sex, and income explained 38% of the variance in AL score in this subgroup. Among adults with high cultural continuity, racial discrimination was not associated with AL, whereas age remained significant and explained 13% of the variance in AL score. CONCLUSIONS: Past-year racial discrimination was associated with early and more pronounced wear and tear on stress response systems among Indigenous adults relative to peers. Indigenous cultural continuity served as an important buffer that promoted biological resilience against the adverse effects of racial discrimination on physiologic regulation among Indigenous adults.
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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".