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Record W4402711415 · doi:10.1080/02673843.2024.2400494

Sexual and/or gender minority mental health disparities in adolescence: effects of adverse peer and family experiences

2024· article· en· W4402711415 on OpenAlexaffabout
Emma Galarneau, Tina Malti

Bibliographic record

VenueInternational Journal of Adolescence and Youth · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMental healthPsychologySexual minorityClinical psychologyGender identitySexual orientationDevelopmental psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Research exploring developmental explanations for sexual and/or gender minority (i.e. SGM) mental health disparities often rely on adults’ retrospectively reported childhood adversity, leaving gaps in understanding how childhood adversity affects SGM mental health disparities during critical developmental periods and/or in contemporary youth. We tested the association between 459 12- to 17-year-old Canadian adolescents’ SGM status and mental health (i.e. life satisfaction, internalizing symptoms) and whether this was explained by indirect effects of peer and family adversity. Additionally, we examined developmental differences between early and middle adolescence. SGM status significantly predicted worse mental health. In an adjusted model, indirect effects through peer and family adversity were significant; the previously detected total effect of SGM status on life satisfaction disappeared and the effect on internalizing symptoms lessened. No significant developmental differences were detected. This suggests that mental health disparities are present in contemporary SGM youth and concurrent adverse experiences may underlie these disparities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.080
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.372
Teacher spread0.337 · 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.

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
Published2024
Admission routes2
Has abstractyes

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