什么类别最适合:在自闭症患者调查中了解变性身份。

Hillary Steinberg, Tamara Garfield, Alec Becker, Lindsay Shea
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摘要

导言:过去 5 年来,为了解变性人的经历而改进性别认同测量方法的呼声迅速高涨。在这一主题领域进行方法创新的需求对自闭症人群尤为重要,因为自闭症患者中变性身份的共存率较高,这一点已有记录,但人们对其了解不多。我们使用了一项调查,其中的问题反映了 2018 年的标准,以说明二元性别概念化如何无法充分捕捉变性自闭症患者的性别认同:本研究利用对 1527 名自闭症成年人(平均年龄 27.5 岁)进行的全州调查的描述性统计,将自我报告的调查回答与当时有关性别认同的封闭式标准问题进行比较,以了解在真实捕捉这一人群方面存在的不足:结果:我们发现,受访者在回答自己是变性人、出生时被分配的性别和性别认同这三个问题时,存在不匹配的情况。我们推测,变性男女在被问及性别认同时很可能选择二元回答。此外,我们还发现,在自选的 "其他 "类别中,许多定性回答反映了非二元身份,并使用了特定的术语,揭示了他们对性别身份理解的细微差别:我们敦促研究人员在测量自闭症人群的性别认同时提供多种灵活的选择,因为他们很可能包含多种身份。我们认可自闭症研究中测量性别认同的最佳实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Category Best Fits: Understanding Transgender Identity in a Survey of Autistic Individuals.

Introduction: Calls for improved measures of gender identity to understand the experience of transgender individuals have grown rapidly in the past 5 years. The need for methodological innovation in this topic area has particular importance for the autistic population since a higher co-occurrence of transgender identities among autistic people has been documented but is not well understood. We use a survey with questions that reflect standards in 2018 to demonstrate how binary conceptualizations of gender did not adequately capture gender identities of transgender autistic individuals.

Methods: Using descriptive statistics from a statewide survey of 1527 autistic adults (mean age 27.5 years), this study compared self-reported survey responses to close-ended standard questions at the time about gender identity to understand shortcomings in capturing this population authentically.

Results: We found a mismatch between respondents answering that they were transgender, the sex assigned at birth, and gender identity on separate questions. We postulate that transgender men and women were likely selecting binary responses when asked about gender identity. Furthermore, we found that many qualitative responses reported in the self-selected "other" category reflected nonbinary identities and utilized specific terminology that revealed nuance in how they understood gender identities.

Conclusions: We urge researchers to provide multiple flexible options when measuring gender identity in autistic populations as they are likely to encompass many identities. We endorse best practices for measuring gender identity for autistic research.

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