Evidence map›Paper›PMID 36596906›Full record

ArticleArchives of sexual behavior2023

Validation of Two Measures of Gender Dysphoria/Incongruence in Transgender and Cisgender Populations in China.

Yuqi Li, Lijun Zheng

Abstract read
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In one paragraph

Article in Archives of sexual behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Yuqi LiFaculty of Psychology, Southwest University, Beibei District, No. 2, Tiansheng Road, Chongqing, 400715, China.
Lijun ZhengFaculty of Psychology, Southwest University, Beibei District, No. 2, Tiansheng Road, Chongqing, 400715, China. lijuntrue@163.com.ORCID http://orcid.org/0000-0001-9905-9093
Southwest University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined gender dysphoria (GD) in transgender and cisgender populations in China and aimed to provide validity evidence for two dimensional measures of GD. A total of 293 transgender people (170 transmen, 65 transwomen, and 58 non-binary trans people; mean age, 21.3 years) and 538 cisgender people (296 ciswomen and 242 cismen; mean age, 23.5 years) completed the Utrecht Gender Dysphoria Scale (UGDS), the Gender Identity/Gender Dysphoria Questionnaire for Adolescents and Adults (GIDYQ-AA), and demographic information online. The UGDS and the GIDYQ-AA had good reliability and validity for the Chinese population. Transgender people reported higher intensity of GD than cisgender people. Cisgender women reported higher intensity of GD than cisgender men. Non-binary transgender people reported lower intensity than binary transgender people. However, transmen reported higher intensity than transwomen for the UGDS but not for the GIDYQ-AA. Transgender people with gender-affirming hormonal treatment experience reported higher intensity of GD than those without treatment. Moreover, transgender people coming out to parents reported higher intensity than those who did not. The cutoff values of the UGDS and the GIDYQ-AA in the original version show high sensitivity for transgender people and specificity for cisgender people. Our findings indicate that the UGDS and the GIDYQ-AA are validated measures of GD in China.

Indexed as

Gender DysphoriaTransgender PersonsAdolescentAdultChinaFemaleGender IdentityHumansMaleReproducibility of ResultsYoung AdultGender dysphoriaGender identityGender incongruenceGIDYQ-AATransgenderUGDS

Identifiers

PMID36596906
OpenAlexW4313458712

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.