Allostatic Load, Psychiatric Morbidity and Cortisol Responses to Awakening in Midlife Immigrant Women
Bibliographic record
Abstract
Background: The healthy migrant effect hypothesis suggests that the immigrants’ health conditions deteriorate over time, perhaps due to the adoption of different lifestyle behaviours or exposure to stressful events (i.e., wear and tear condition). We investigated whether allostatic load markers were related to perceived stress, psychiatric morbidity and cortisol awakening response in midlife, immigrant women. Methods: Fifty-six immigrant women, aged 40-60 years, were consecutively assessed at a women’s clinic in Ontario with the use of the PRIME-MD, Perceived Stress Scale (PSS), and Resilience Scale (RS). Other assessments included information on time since immigration, menopause-related complaints and acculturation issues. Weight, BMI and waist/hip ratio measures were obtained and saliva samples were collected on awakening, and after 30 and 60 minutes. Results: There was a significant, negative correlation between perceived stress and resilience in this sub-population studied (rs= -.49, p<0.001); in addition, waist/hip ratio was inversely correlated with time since immigration (rs= -.33, p<0.05) and positively correlated with heightened psychiatric morbidity, menopause-related complaints and reported difficulties in acculturating (e.g., language barriers, work-related difficulties, poor access to culturally-sensitive health care). The decline in cortisol levels over time (AUC) was neg atively related to waist/hip ratio, but did not reach significant correlation with psychiatric morbidity.Conclusions: Midlife, immigrant women may be exposed to stressors inherent to either the immigration or the menopausal transition processes; the resulting allostatic load can contribute to neuroendocrine disturbances and heightened psychiatric morbidity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".