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本文引用的文献

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Gender-inclusive writing for epidemiological research on pregnancy.关于妊娠的流行病学研究中的性别包容写作。
J Epidemiol Community Health. 2022 Sep;76(9):823-827. doi: 10.1136/jech-2022-219172. Epub 2022 Jun 28.
2
The health status of transgender and gender nonbinary adults in the United States.美国跨性别和性别非二元成年人的健康状况。
PLoS One. 2020 Feb 21;15(2):e0228765. doi: 10.1371/journal.pone.0228765. eCollection 2020.
3
Health Disparities Among Sexual Gender Minority Women in the United States: A Population-Based Study.美国性少数群体女性的健康差异:一项基于人群的研究。
J Community Health. 2019 Aug;44(4):721-728. doi: 10.1007/s10900-019-00631-y.
4
Transgender-inclusive measures of sex/gender for population surveys: Mixed-methods evaluation and recommendations.人口调查中包含跨性别者的性/性别衡量方法:混合方法评估与建议
PLoS One. 2017 May 25;12(5):e0178043. doi: 10.1371/journal.pone.0178043. eCollection 2017.
5
The relative benefits of meta-analysis conducted with individual participant data versus aggregated data.采用个体参与者数据与汇总数据进行的荟萃分析的相对益处。
Psychol Methods. 2009 Jun;14(2):165-76. doi: 10.1037/a0015565.

不被视为“异类”的重要性:是时候解决临床试验中性别和性向问题的细微差别被忽视这一问题了。

The importance of NOT being Other: Time to address the invisibility of nuanced gender and sexuality in clinical trials.

机构信息

Centre for Trials Research, Cardiff University, Cardiff, Wales, UK.

NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.

出版信息

Trials. 2023 Mar 30;24(1):242. doi: 10.1186/s13063-023-07278-0.

DOI:10.1186/s13063-023-07278-0
PMID:36998055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10064725/
Abstract

BACKGROUND

Representation of all members of society within research, especially those typically underserved, is needed to ensure that trial evidence applies to the relevant population, and that effective interventions are available to all. The lack of appropriate and representative options in demographic questions around sex, gender and sexuality may result in the exclusion of LGBTQIA + people from health research.

MAIN BODY

Sex and gender are not the same, yet this is rarely recognised in trial data collection, with the terms sex and gender often being used interchangeably. Sex or gender is often used as a stratification factor at randomisation and/or to define sub-groups at the time of data analysis, so correct data collection is essential for producing high-quality science. Sexuality also suffers from 'othering' with identities not being acknowledged but simply provided as an alternative to the perceived main identities. When collecting sexuality information, it is important to consider the purposes of collecting this data.

CONCLUSION

We call on those involved in trials to consider how sex, gender and sexuality data are collected, with an active consideration of inclusivity. Through the description of all non-straight, non-cisgender people as 'other' you may be ignoring the needs of these populations and doing science, yourself, and them a disservice. Inclusivity may require small but important changes to ensure your research findings are inclusive and develop the evidence base for often overlooked populations.

摘要

背景

为确保试验证据适用于相关人群,并为所有人提供有效的干预措施,需要在研究中代表社会的所有成员,尤其是那些通常服务不足的成员。在性别、性别认同和性行为方面的人口统计问题中,如果没有适当和有代表性的选择,可能会导致 LGBTQIA+人群被排除在健康研究之外。

正文

性和性别并不相同,但这在试验数据收集过程中很少得到承认,术语“性”和“性别”经常互换使用。在随机分组和/或数据分析时,性或性别通常用作分层因素,因此正确的数据收集对于产生高质量的科学至关重要。性取向也受到“他者化”的影响,其身份不被承认,而只是作为主要身份的替代。在收集性行为信息时,重要的是要考虑收集这些数据的目的。

结论

我们呼吁参与试验的人员考虑如何收集性、性别和性行为数据,并积极考虑包容性。通过将所有非直、非顺性别者描述为“其他”,您可能忽略了这些人群的需求,并且对您自己、对他们的科学研究无益。包容性可能需要进行微小但重要的改变,以确保您的研究结果具有包容性,并为经常被忽视的人群发展证据基础。