Brief Report: Social Factors Associated With Trajectories of HIV-Related Stigma and Everyday Discrimination Among Women Living With HIV in Vancouver, Canada: Longitudinal Cohort Findings
Bibliographic record
Abstract
Abstract Introduction: Women living with HIV (WLHIV) experience stigma rooted in social inequities. We examined associations between social factors (food insecurity, housing insecurity, violence, sexual minority identity, and substance use) and HIV-related stigma and Everyday Discrimination trajectories among WLHIV. Methods: This community-based open longitudinal cohort study with WLHIV living in and/or accessing HIV care in Metro Vancouver, Canada, plotted semiannual averages (2015–2019) of recent (past 6-month) HIV-related stigma and Everyday Discrimination. We examined distinct trajectories of HIV-related stigma and Everyday Discrimination using latent class growth analysis (LCGA) and baseline correlates of each trajectory using multinomial logistic regression. Findings: Among participants (HIV-related stigma sample: n = 197 participants with n = 985 observations; Everyday Discrimination sample: n = 203 participants with n = 1096 observations), LCGA identified 2 distinct HIV-related stigma and Everyday Discrimination trajectories: sustained low and consistently high. In multivariable analysis, concurrent food and housing insecurity (adjusted odds ratio [AOR]: 2.15, 95% confidence interval [CI] 1.12–4.12) and physical/sexual violence (AOR: 2.57, 95% CI: 1.22–5.42) were associated with higher odds of the consistently high (vs. sustained low) HIV-related stigma trajectory. Sexual minority identity (AOR: 2.84, 95% CI: 1.49–5.45), concurrent food and housing insecurity (AOR: 2.65, 95% CI: 1.38–5.08), and non injection substance use (less than daily vs. none) (AOR: 2.04, 95% CI: 1.03–4.07) were associated with higher odds of the consistently high (vs. sustained low) Everyday Discrimination trajectory. Conclusions: Social inequities were associated with consistently high HIV-related stigma and Everyday Discrimination among WLHIV. Multilevel strategies can address violence, economic insecurity, intersecting stigma, and discrimination to optimize health and rights among WLHIV.
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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 | 0.055 | 0.075 |
| Science and technology studies | 0.001 | 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) | 0.007 | 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; both teacher heads agree on what is shown here.
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".