A cross-sectional study of the relationship between depression status, health care coverage, and sexual orientation
Bibliographic record
Abstract
Health care coverage is an important factor in receipt of behavioral healthcare. This study uses data from the New York City Community Health Survey to examine how sexual minority status impacts the relationship between depression status and having health care coverage. Approximately 10% of the sample (n = 9571; 47% 45+ years old; 35% White Non-Hispanic; 7% sexual minority) reported probable depression and low health care coverage. Compared to heterosexual participants, a greater proportion of sexual minority participants had low health care coverage (17% vs. 9%) and probable depression (19% vs. 9%). Logistic regression examining the association between probable depression status and health care coverage showed that those with probable depression have odds of low health care coverage that are were 3.08 times those who did not have probable depression; this relationship was not modified by sexual orientation. Continued research to understand the interplay of health care coverage, mental health, and sexual orientation is needed.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".