Evidence map›Paper›PMID 36651060›Full record

ArticleBJPsych open2023

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

Runsen Chen, Yi Feng, Di Su, Amanda Wilson, Meng Han, Yuanyuan Wang

Abstract read
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Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Runsen ChenVanke School of Public Health, Tsinghua University, China; and Institute for Healthy China, Tsinghua University, China.ORCID https://orcid.org/0000-0003-3398-5750
Yi FengMental Health Center, Central University of Finance and Economics, China; and Faculty of Psychology, Beijing Normal University, China.
Di SuDepartment of Psychology, Tsinghua University, Beijing, China; and Mental Health Center, Ningxia University, China.
Amanda WilsonDivision of Psychology, Faculty of Health and Life Sciences, De Montfort University, UK.
Meng HanVanke School of Public Health, Tsinghua University, China.
Yuanyuan WangKey Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, South China Normal University, China; Center for Studies of Psychological Application, South China Normal University, China; and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China.ORCID https://orcid.org/0000-0002-2141-4056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with gender dysphoria display an incongruence between birth-assigned gender and gender expression. However, there is no existing Chinese measure for gender dysphoria.

aimsThis 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).

methodA 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.

resultsThe 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

conclusionsThe 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.

Indexed as

anxietyDepressiongender dysphoriapsychological psychometricssuicide

Identifiers

PMID36651060
PMCPMC9885349

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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.