Evidence map›Paper›PMID 39152976›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2024

School Absenteeism Among Racially and Ethnically Minoritized Transgender High School Students and Their Peers: A Cross-Sectional Study.

Anita V Chaphekar, Jae Sevelius, Dave Glidden, Stanley R Vance

Abstract read
In one paragraph

Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anita V ChaphekarDepartment of Pediatrics, University of California, San Francisco, San Francisco, California. Electronic address: anitavchaphekar@gmail.com.
Jae SeveliusDepartment of Psychiatry, Columbia University, New York, New York.
Dave GliddenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Stanley R VanceDepartment of Pediatrics, University of California, San Francisco, San Francisco, California.

Funding

Mentoring clinical investigators in patient-oriented research on substance use and HIVK24DA051328 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEVELIUS, JAE M. · 2020 to 2024
$771k
Examining Contributors to Disparities in Gender Affirmation and Mental Health among Black and Latinx Transgender YouthK23MD015044 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VANCE, STANLEY RAY · 2022 to 2024
$411k
NIDA NIH HHS K24 DA051328NIMHD NIH HHS K23 MD015044
6 · The paper itself

Abstract

purposeTo explore absenteeism among racially and ethnically minoritized transgender youth (trans REMY) compared to their White transgender (trans WY) and racially and ethnically minoritized cisgender (cis REMY) peers and identify associated psychosocial factors.

methodsBiennial California Healthy Kids Survey 2017-2019 data was analyzed with a weighted sample of California's secondary school population. Students reported past 30-day absences due to mental health and harassment, depressive symptoms, suicidal ideation, cyberbullying, victimization, and school connectedness. Poisson and linear regression compared absenteeism and psychosocial factors among peer groups. For trans REMY, Poisson regression assessed associations between absenteeism and psychosocial factors. Analyses were adjusted for grade, sex, and socioeconomic status.

resultsThe analytical sample (n = 25,085) included 206 trans REMY, 64 trans WY, and 24,815 cis REMY. Trans REMY had higher relative risk of absenteeism due to mental health concerns and harassment compared to cis REMY (adjusted relative risk 2.9, 95% confidence interval 2.1-4.0 and adjusted relative risk 8.1, 95% confidence interval 4.0-16.6, respectively) but similar risk when compared to trans WY. For trans REMY, depressive symptoms, suicidal ideation, and victimization were associated with higher relative risk of absenteeism due to mental health concerns. Cyberbullying was associated with a higher risk of absenteeism due to harassment. Higher school connectedness was associated with lower risk of absenteeism due to mental health concerns. DISCUSSION: Trans REMY reported higher rates of school absenteeism due to mental health concerns and harassment compared to some of their peers. Mental health symptoms, victimization, cyberbullying, and school connectedness were associated with absenteeism among trans REMY.

Indexed as

AbsenteeismPeer GroupStudentsTransgender PersonsAdolescentCaliforniaCrime VictimsCross-Sectional StudiesDepressionFemaleHumansMaleSchoolsSuicidal IdeationAbsenteeismHigh schoolRacially and ethnically minoritized groupsTransgender

Identifiers

PMID39152976
PMCPMC13053044

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.