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Record W4412059741 · doi:10.1111/acer.70081

An ecological momentary assessment study of predictors for alcohol outcomes in transgender and gender diverse youth

2025· article· en· W4412059741 on OpenAlexaff
Sarah S. Dermody, Stephanie Penta, Alexandra Uhrig, Jeffrey D. Wardell, Trevor Hart, Christian S. Hendershot, Elizabeth Saewyc, Alex Abramovich

Bibliographic record

VenueAlcohol Clinical and Experimental Research · 2025
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of British ColumbiaPublic Health OntarioYork UniversityToronto Metropolitan UniversityUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsStressorAffect (linguistics)DemographyConfidence intervalDistressAlcoholPsychologyMedicineTransgenderAlcohol abuseEnvironmental healthClinical psychologyPsychiatryInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: This study examined how gender minority stressors and resilience experienced by transgender and gender diverse (TGD) youth relate to daily and momentary occurrences of alcohol use risk processes (e.g., alcohol craving, drinking motives, and distress), alcohol use, and alcohol-related harms. The feasibility of ecological momentary assessment (EMA) was evaluated. METHODS: Forty TGD youth (mean 22.42 years [SD = 3.03]; range 18-29) completed a baseline interview followed by 21 days of EMA. Daily morning surveys assessed stressors and resilience, alcohol risk processes, use and harms experienced "yesterday" and twice-daily random surveys assessed most of these experiences in the "past 30 min" or "right now." RESULTS: Using multilevel models, at the daily (within-person) level, gender minority stressors were significantly related to increased alcohol use (incidence rate ratio (IRR) = 1.16, 95% confidence interval [CI]: 1.03-1.32), drinking to cope (B = 0.16, 95% CI: 0.06-0.26), psychological distress (B = 0.19, 95% CI: 0.03-0.35) and alcohol craving (B = 0.05, 95% CI: 0.01-0.10), but not alcohol harms or negative affect. At the momentary (within-person) level, gender minority stress was associated with increased drinking to cope (B = 0.76, 95% CI: 0.51-1.01), alcohol craving (B = 0.43, 95% CI: 0.31-0.55), and negative affect (B = 2.17, 95% CI: 1.31-3.02). Daily resilience was also associated with increased alcohol use (IRR = 1.32, 95% CI: 1.15-1.52), but not craving or negative affect. Momentary resilience was associated with reduced drinking to cope (B = -0.56, 95% CI: -0.88, -0.23) and negative affect (B = -0.52, 95% CI: -0.81, -0.23), but not craving. Adherence rates and participants' ratings about study acceptability were favorable. CONCLUSIONS: Gender minority stressors are a risk factor for same-day alcohol use. Resilience factors may be associated with increased alcohol use through other mechanisms (e.g., drinking for social or conformity reasons). Interventions to reduce TGD youth's alcohol use should address gender minority stressors and support TGD youth to cope with these stressors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.496
GPT teacher head0.637
Teacher spread0.141 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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