Real-Time Exposure to Negative News Media and Suicidal Ideation Intensity Among LGBTQ+ Young Adults
Bibliographic record
Abstract
Importance: With a recent surge in anti-lesbian, gay, bisexual, transgender, or queer (LGBTQ+) policies and associated news and media coverage, there is a need to study the association of LGBTQ+ focused news or media exposure and short-term changes in suicidal ideation (SI) among LGBTQ+ youth. Objective: To examine within-person direct and indirect associations between exposure to general and LGBTQ+ negative news or media and SI intensity through expectations of rejection. Design, Setting, and Participants: This intensive longitudinal cohort study used a smartphone-based ecological momentary assessment (EMA) protocol wherein participants responded to EMAs 3 times per day for 28 consecutive days. Young adults aged 18 to 24 years who self-identified as LGBTQ+, resided in Tennessee, and had past-year SI and at least mild depression (defined as a score ≥5 on the Patient Health Questionnaire-9) were eligible for inclusion. Participants were recruited through social media advertisements, LGBTQ+ community organizations, and mental and behavioral health clinics. Participants were recruited between March 30, 2023, and August 23, 2023, and data analyses were conducted from August 28, 2023, through April 20, 2024. Exposures: At each EMA, participants reported on recent exposure to negative news or media. A 3-level categorical exposure variable denoted (1) no news or media exposure (reference); (2) exposure to general negative news or media; and (3) exposure to LGBTQ+ negative news or media. Each EMA also assessed expectations of rejection due to LGBTQ+ identity on a scale of 0 (not at all) through 10 (very much). Main Outcomes and Measures: Three primary outcomes assessed current (ie, "right now") intensity of active SI, passive SI, and self-harm ideation, each measured on a scale from 0 (not at all) to 10 (very strong). Multilevel modeling approaches were used to account for the hierarchical structure of EMA data, with assessments (level 1) nested within people (level 2). Linear mixed models and multilevel mediation models were used to examine within-person associations between exposure to negative news or media and the 3 primary outcomes, as well as the mediating role of expectations of rejection. Results: Of 31 total participants, 22 were assigned female sex at birth (71%), and 16 (52%) self-identified as transgender or gender diverse. The median (IQR) participant age was 21 (18-22) years, and a total of 2189 EMAs were completed, with a median (range) compliance of 90.5% (41.7%-100%). At the within-person level, recent exposure to LGBTQ+ negative news or media was significantly associated with increased active SI (estimate [b], 0.14; 95% CI, 0.04-0.25; P = .009), passive SI (b, 0.23; 95% CI, 0.04-0.41; P = .02), and self-harm ideation (b, 0.13; 95% CI, 0.02-0.23; P = .02). No statistically significant associations were detected for exposure to general negative news or media. In multilevel mediation models, heightened expectations of rejection explained some of the total effect of exposure to LGBTQ+ negative news or media on active SI (23%) and passive SI (37%). Conclusions and Relevance: This intensive longitudinal cohort study found that SI intensity modestly increased in the hours immediately following exposure to LGBTQ+ negative news or media among LGBTQ+ young adults. These findings have timely implications for research and intervention, particularly within sociopolitical and geographic contexts where news or media coverage about LGBTQ+ topics is intensified.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".