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Record W2945313249 · doi:10.1080/19359705.2019.1611686

Mental health service utilization in a sexually diverse, representative sample of high school students

2019· article· en· W2945313249 on OpenAlexafffundabout
Martin Blais, Mathieu Philibert, Félix-Antoine Bergeron, Martine Hébert

Bibliographic record

VenueJournal of Gay & Lesbian Mental Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversité du Québec à Montréal
FundersCanadian Institutes of Health ResearchMinistère de l'Éducation, du Loisir et du Sport Québec
KeywordsMental healthSample (material)PsychologyMental health serviceSexually activeService (business)MedicinePsychiatryEnvironmental healthPopulationBusiness

Abstract

fetched live from OpenAlex

This article describes patterns of mental health service (MHS) utilization in the past 12 months (counselor or community worker, group meeting attendance, and prescribed medication) across gender, sexual orientation, and perceived discrimination based on sexual orientation and/or gender expression. We conducted a self-administered survey in a sample of 8,194 students in grades 10, 11, and 12 (mean age = 15.4; 58% girls; 18% sexual minority youths [SMY]) from 34 randomly selected high schools from an eligible pool from the Quebec Ministry of Education. The most common MHS used was consulting a counselor or a community worker (15%), followed by group meeting attendance (5%), and having medication prescribed (3%). After controlling for mental health status and sociodemographic variables, and despite variations among sexual orientation subgroups, SMYs were consistently equally or more likely than different-gender-attracted youths to report using the MHSs investigated. Perceived discrimination based on sexual orientation and/or gender expression was associated with higher rates of MHS utilization. This study contributes to a better understanding of youths’ MHS utilization and highlights the role of perceived discrimination based on sexual orientation and/or gender expression in triggering MHS needs.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.151
GPT teacher head0.501
Teacher spread0.349 · 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 teacher head, not a consensus.

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
Published2019
Admission routes3
Has abstractyes

Explore more

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