Cargando…

Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality

BACKGROUND: Individuals with gender dysphoria display an incongruence between birth-assigned gender and gender expression. However, there is no existing Chinese measure for gender dysphoria. AIMS: This study aims to validate the Utrecht Gender Dysphoria Scale – Gender Spectrum (UGDS-GS) in a Chinese...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Runsen, Feng, Yi, Su, Di, Wilson, Amanda, Han, Meng, Wang, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885349/
https://www.ncbi.nlm.nih.gov/pubmed/36651060
http://dx.doi.org/10.1192/bjo.2022.617
_version_ 1784879914393010176
author Chen, Runsen
Feng, Yi
Su, Di
Wilson, Amanda
Han, Meng
Wang, Yuanyuan
author_facet Chen, Runsen
Feng, Yi
Su, Di
Wilson, Amanda
Han, Meng
Wang, Yuanyuan
author_sort Chen, Runsen
collection PubMed
description BACKGROUND: Individuals with gender dysphoria display an incongruence between birth-assigned gender and gender expression. However, there is no existing Chinese measure for gender dysphoria. AIMS: This study aims to validate the Utrecht Gender Dysphoria Scale – Gender Spectrum (UGDS-GS) in a Chinese population, and compare the psychometric properties of the UGDS-GS with one frequently used scale for gender dysphoria measurement, the Gender Identity/Gender Dysphoria Questionnaire for Adolescents and Adults (GIDYQ-AA). METHOD: A total of 2646 Chinese participants were recruited. The following information was collected: sociodemographic variables, gender identity, sexual orientation, gender dysphoria measured by the UGDS-GS and the GIDYQ-AA, anxiety, depression and suicide assessment. Principal component analyses and confirmatory factor analysis (CFA) were conducted to test the fitness of the model. Discriminant validity was tested with one-way analysis of variance. RESULTS: The UGDS-GS showed good psychometric properties, with the GIDYQ-AA demonstrating slightly better psychometric properties than the UGDS-GS. UGDS-GS also showed strong internal consistency (Cronbach's α = 0.89), and good convergent validity and criterion validity. Exploratory factor analysis showed a one-factor structure (Kaiser-Meyer-Olkin test, 0.93; χ(2) = 13 342.50; d.f. = 153; P < 0.001). The UGDS-GS was positively associated with anxiety symptoms, depressive symptoms, suicidal ideation, attempted suicide and self-harm. We also found the results were robust in different samples. CONCLUSIONS: The validated UGDS-GS can significantly stimulate and promote gender dysphoria assessment in Chinese populations, allowing for assessment in a more diverse subset of gender minorities.
format Online
Article
Text
id pubmed-9885349
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-98853492023-02-08 Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality Chen, Runsen Feng, Yi Su, Di Wilson, Amanda Han, Meng Wang, Yuanyuan BJPsych Open Paper BACKGROUND: Individuals with gender dysphoria display an incongruence between birth-assigned gender and gender expression. However, there is no existing Chinese measure for gender dysphoria. AIMS: This study aims to validate the Utrecht Gender Dysphoria Scale – Gender Spectrum (UGDS-GS) in a Chinese population, and compare the psychometric properties of the UGDS-GS with one frequently used scale for gender dysphoria measurement, the Gender Identity/Gender Dysphoria Questionnaire for Adolescents and Adults (GIDYQ-AA). METHOD: A total of 2646 Chinese participants were recruited. The following information was collected: sociodemographic variables, gender identity, sexual orientation, gender dysphoria measured by the UGDS-GS and the GIDYQ-AA, anxiety, depression and suicide assessment. Principal component analyses and confirmatory factor analysis (CFA) were conducted to test the fitness of the model. Discriminant validity was tested with one-way analysis of variance. RESULTS: The UGDS-GS showed good psychometric properties, with the GIDYQ-AA demonstrating slightly better psychometric properties than the UGDS-GS. UGDS-GS also showed strong internal consistency (Cronbach's α = 0.89), and good convergent validity and criterion validity. Exploratory factor analysis showed a one-factor structure (Kaiser-Meyer-Olkin test, 0.93; χ(2) = 13 342.50; d.f. = 153; P < 0.001). The UGDS-GS was positively associated with anxiety symptoms, depressive symptoms, suicidal ideation, attempted suicide and self-harm. We also found the results were robust in different samples. CONCLUSIONS: The validated UGDS-GS can significantly stimulate and promote gender dysphoria assessment in Chinese populations, allowing for assessment in a more diverse subset of gender minorities. Cambridge University Press 2023-01-18 /pmc/articles/PMC9885349/ /pubmed/36651060 http://dx.doi.org/10.1192/bjo.2022.617 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Paper
Chen, Runsen
Feng, Yi
Su, Di
Wilson, Amanda
Han, Meng
Wang, Yuanyuan
Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality
title Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality
title_full Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality
title_fullStr Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality
title_full_unstemmed Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality
title_short Utrecht Gender Dysphoria Scale – Gender Spectrum in a Chinese population: scale validation and associations with mental health, self-harm and suicidality
title_sort utrecht gender dysphoria scale – gender spectrum in a chinese population: scale validation and associations with mental health, self-harm and suicidality
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885349/
https://www.ncbi.nlm.nih.gov/pubmed/36651060
http://dx.doi.org/10.1192/bjo.2022.617
work_keys_str_mv AT chenrunsen utrechtgenderdysphoriascalegenderspectruminachinesepopulationscalevalidationandassociationswithmentalhealthselfharmandsuicidality
AT fengyi utrechtgenderdysphoriascalegenderspectruminachinesepopulationscalevalidationandassociationswithmentalhealthselfharmandsuicidality
AT sudi utrechtgenderdysphoriascalegenderspectruminachinesepopulationscalevalidationandassociationswithmentalhealthselfharmandsuicidality
AT wilsonamanda utrechtgenderdysphoriascalegenderspectruminachinesepopulationscalevalidationandassociationswithmentalhealthselfharmandsuicidality
AT hanmeng utrechtgenderdysphoriascalegenderspectruminachinesepopulationscalevalidationandassociationswithmentalhealthselfharmandsuicidality
AT wangyuanyuan utrechtgenderdysphoriascalegenderspectruminachinesepopulationscalevalidationandassociationswithmentalhealthselfharmandsuicidality