The COVID-19 global pandemic and allostatic load among a cohort of Black and Latina transgender women living with HIV.
Bibliographic record
Abstract
This exploratory study investigated the impact of the COVID-19 pandemic on stress biomarkers and allostatic load for Black and Latina transgender women living with HIV (BLTWLH), as well as COVID-19 infection, hospitalization, and vaccination status. LITE Plus is a longitudinal cohort study of BLTWLH designed to identify pathways linking biopsychosocial stress to HIV co-morbidities. Participants were enrolled between October 2019-June 2022. Descriptive statistics compared stress biomarkers and allostatic load index (ALI) scores pre- (to March 2020) and post-onset pandemic onset (January 2021-December 2022). Frequencies and proportions are reported for COVID-19 indicators. Of the cohort, 26 BLTWLH completed study visits both pre- and post-onset pandemic onset ("pre-onset"; "post-onset"). Post-onset, chronic stress biomarkers were elevated across all body systems. Sample ALI distribution shifted post-onset, with elevated mean, median, IQR and proportion above the median. Of the 108 participants who completed any post-onset visits, 19% had ever tested positive for COVID-19 and 4% reported a COVID-19 related hospitalization. COVID-19 vaccination uptake was 70% and 24% had received a booster. Of those unvaccinated, 15% intended to be vaccinated, 9% were unsure and 6% did not intend to be vaccinated. BLTWH deployed various strategies to cope with pandemic effects and 22% reported unmet COVID-19-related support needs. ALI for BLTWLH was high compared to other populations in the literature, suggesting unique vulnerabilities to biopsychosocial stress and chronic disease risk. Despite high engagement with COVID-19 prevention including vaccination intention and uptake, BLTWLH experienced heavy COVID-19 burden and unmet support needs.
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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 | 0.001 | 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 | 0.001 |
| 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".