Evidence map›Paper›PMID 35549903›Full record

ArticleBMC public health2022

The factors influencing the psychological distress of transgender women in Shandong, China: a cross-sectional study.

Meng Sun, Haoqiang Ji, Xu Chen, Jia Xu, Jiachen Lu, Yaohui Yi, Yuanping Pan, Ruiheng Wu, Yunting Chen, Yuxin Duan and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

12 authors at 1 institution in 1 country.

Meng SunSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Haoqiang JiSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Xu ChenSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Jia XuSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Jiachen LuSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Yaohui YiSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Yuanping PanSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Ruiheng WuSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Yunting ChenSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Yuxin DuanSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Xiaofeng DouSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China.
Ling ZhouSchool of Public Health, Dalian Medical University, Dalian, 116044, Liaoning, China. zhouling0609@163.com.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a group at high-risk for acquired immune deficiency syndrome (AIDS) infection, the psychological distress of transgender women cannot be ignored while preventing and controlling AIDS risks. Transgender women are a vulnerable group, and their psychological distress deserves attention. The purpose of this study was to evaluate the psychological distress of transgender women and further determine the influences of factors on the psychological distress of transgender women.

methodsFrom March 2021 to August 2021, a cross-sectional survey was conducted in Shandong province, China. Data were collected by a questionnaire designed for transgender women, and the GHQ-12 scale was used to measure their psychological distress. The questionnaire combined sociodemographic characteristics, HIV/AIDS cognition, related behaviors, substance abuse, social support, gender identity and other factors. Univariate logistic regression and multivariate logistic regression models were used to explore the psychological factors of transgender women.

resultsIn this study, the rate of transgender women with psychological distress was 20.08%. Earned monthly income between 10,000-15,000 yuan (OR:0.16, 95% CI:0.06-0.45) and a monthly income greater than 15,000 yuan (OR:0.07, 95% CI:0.01-0.43) were protective factors in the psychology of transgender women. Transgender women who never disclosed sexual orientation and identity (OR: 0.19, 95% CI: 0.06-0.58), who only disclosed their sexual orientation and identity to families or friends (OR: 0.41, 95% CI: 0.18-0.93) were also less likely to have psychological distress. Additionally, transgender women who did not desire to be identified with their sexual orientation and identity (OR: 3.31, 95%CI: 1.08-10.16) and who reported that the Internet did not play an essential role in helping determine sexual orientation (OR: 5.96, 95% CI: 2.91-12.20) were more likely to have psychological distress.

conclusionTransgender women were at risk of psychological distress. Earning more money can help transgender women's psychological health. When formulating measures for transgender women, we should pay attention to enhance social inclusion and social acceptance of their gender identity and sexual orientation. Strengthening the role of the internet in transgender women's confirmation of sexual orientation and improving the social acceptance of transgender women will have a positive impact on the psychological status of transgender women.

Indexed as

Acquired Immunodeficiency SyndromePsychological DistressTransgender PersonsCross-Sectional StudiesFemaleGender IdentityHumansMaleSexual BehaviorAssociated factorsChinaGHQ-12Psychological distressTransgender women

Identifiers

PMID35549903
PMCPMC9101853
OpenAlexW4280574011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.