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Record W4307055175 · doi:10.1093/pch/pxac100.004

5 Clinical and demographic characteristics of a cohort of children and adolescents followed at a multidisciplinary gender diversity clinic for French-speaking youth

2022· article· en· W4307055175 on OpenAlexaffabout
Sophie Marsolais, Janie Kelley, Valérie Taillefer, Lyne Chiniara, Nicholas Chadi

Bibliographic record

VenuePaediatrics & Child Health · 2022
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicinePsychosocialFamily medicineMental healthDiversity (politics)CohortTransgenderGender dysphoriaPopulationMultidisciplinary approachPsychiatryPediatricsPsychology

Abstract

fetched live from OpenAlex

Abstract Background According to recent population-based surveys, approximately 2% of Canadian children and adolescents identify as transgender or non-binary (TNB). Since its inception in 2016, the multidisciplinary paediatric gender diversity clinic at Sainte-Justine University Hospital Center has seen a rapid increase in the number of new referrals, which mirrors increases seen in paediatric gender diversity clinics across the country. Our clinic is the first Canadian multi-disciplinary paediatric gender diversity clinic for French-speaking youth and currently provides comprehensive affirmative medical care for approximately 350 TNB children and adolescents. TNB youths present significantly higher rates of mental health disorders and suicidal behaviours than their cis-gender peers. However, the specific needs and characteristics of French-speaking TNB youth have not yet been studied. Objectives The aim of the study is to describe the demographic and clinical characteristics of a cohort of children and adolescents who received care at the Sainte-Justine University Hospital Centre gender diversity clinic. Design/Methods De-identified data was collected retrospectively from the medical records of all 279 patients who received care at the clinic between its inception and May 31st, 2021. A research questionnaire was developed under the supervision of an adolescent medicine physician and a paediatric endocrinologist to collect data on patient socio-demographic, behavioural, psychosocial, mental health and medical characteristics. Follow-up visits were included until October 15th, 2021. All data was entered into a password-protected database. The project was approved by the CHU Sainte-Justine Research Ethics Board. Results At the time of their initial consultation, patients were on average 14.4 years old (4.1 to 18.3 years old) and 70.6% were assigned female at birth. Most of the youth had disclosed their gender identity to their families (94.3%) and nearly three-quarters (73.5%) had initiated a social transition. More than half of the patients presented with at least one mental health comorbidity (55.2%) on their first clinic visit. One in two youths reported past or current suicidal ideation at the initial consultation and 12.2% had attempted suicide. During the follow-up period, 49.5% of patients received a prescription for pubertal blockers and 40.9% received a prescription for gender-affirming hormonotherapy (testosterone or estrogen). Conclusion Children and adolescents followed at the Sainte-Justine University Hospital Center gender diversity clinic present with high rates of mental health comorbidities, including suicidal ideation and attempts, highlighting the importance of providing supportive services for these youths and their families. Future research building on these findings will help identify the specific needs, care trajectories, and impacts of gender affirming treatment on the health and well-being of French-speaking TNB youth.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.138
Threshold uncertainty score0.274

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.356
Teacher spread0.311 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

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