Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

In this preliminary test of the CIT approach to identify subgroups of TGD adults with increased STB risk, the risk was primarily influenced by age, racial identity, and sexual minority identity, as well as psychiatric distress, health care stereotype threat, and discrimination. Identifying intersecting factors linked to STBs is vital for early risk detection among TGD individuals. This approach should be tested on a larger scale using EMR data to facilitate service provision to TGD individuals at increased risk for STBs.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-03-06
DOI
https://doi.org/10.2196/65452
Citations
4
Primary Topic
LGBTQ Health, Identity, and Policy
Type
article
Field-Weighted Citation Impact
9.75
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article

Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

Simon M. Li, Conall O’Cleirigh, Keki B. Irani, Lauren A. Trichtinger et al.
4 citations
Journal of Medical Internet Research
LGBTQ Health, Identity, and Policy
9.75
article

Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

Simon M. Li, Conall O’Cleirigh, Keki B. Irani, Lauren A. Trichtinger, Amelia M. Stanton, Alexandra H. Bettis, Norik Kirakosian, Katherine E. Kabel, Richard T. Liu, Qimin Liu
article en
4 citations

Abstract

In this preliminary test of the CIT approach to identify subgroups of TGD adults with increased STB risk, the risk was primarily influenced by age, racial identity, and sexual minority identity, as well as psychiatric distress, health care stereotype threat, and discrimination. Identifying intersecting factors linked to STBs is vital for early risk detection among TGD individuals. This approach should be tested on a larger scale using EMR data to facilitate service provision to TGD individuals at increased risk for STBs.

Journal of Medical Internet ResearchVol. 27
Boston University (US), Harvard University (US), University of Miami (US), Simmons University (US), Massachusetts General Hospital (US), Fenway Health (US), Vanderbilt University Medical Center (US)
Gender equality
Openalex Percentile: Top 2%
LGBTQ Health, Identity, and Policy
9.75
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Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis — Simon M. Li, Conall O’Cleirigh, et al. · Journal of Medical Internet Research (2025) | TGRS Research Map | TGRS