对性别代表性不足的自闭症成年人的叙述性话语进行定量分析。

Kelly L Coburn, Diane L Williams
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引用次数: 0

摘要

背景:叙事能力是自闭症诊断过程的重要组成部分。关于自闭症患者叙事能力的现有研究大多集中在顺性别男性和男孩身上。其他性别的成员(即非二元人、变性男性、变性和顺性女性)在研究文献中的代表性不足。对非自闭症成年人的研究一致报告了叙事创作中的性别差异。当性别代表性不足的成年人在成年后寻求自闭症诊断时,他们可能会被误诊,因为人们对自闭症交流的误解是基于顺性别男性说话者:20 名不同性别的成年自闭症患者分别讲述了四段叙事:两段基于图片,两段关于他们的个人经历。因变量测量了叙述长度、语法复杂性、词汇多样性、填充停顿和内部状态术语。研究人员使用非参数统计对以下几组进行了比较:(1) 顺性别男性和所有其他参与者;(2) 出生时被分配为男性的参与者和被分配为女性的参与者;(3) 自我认同的女性、非二元人和男性:结果:女性使用的多样化词汇明显少于男性。与非二元人和男性相比,女性使用了更多的词汇来指代内部状态,但这一结果在进行多重比较校正后并不显著。所有其他比较均无统计学意义:不同性别的自闭症叙述者在语言上的相似之处多于不同之处。女性自闭症患者可能比男性自闭症患者更倾向于谈论情绪和其他内心状态。基于性别的内心状态口语交流期望应重新仔细考虑。有必要进行更多的研究,以确定这项小型研究的结果是否能推广到更大的自闭症患者样本中,因为目前在研究文献中,自闭症患者的性别代表性不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Analysis of Narrative Discourse by Autistic Adults of Underrepresented Genders.

Background: Narrative production is an important part of the diagnostic process for autism. Most existing research on narrative production by autistic people has focused on cisgender men and boys. Members of other genders (i.e., nonbinary people, transgender men, and trans and cisgender women) are underrepresented in the research literature. Research with non-autistic adults consistently reports gender differences in narrative production. When adults whose genders are underrepresented seek autism diagnosis as adults, they may be misdiagnosed due to misconceptions about autistic communication that are based on cisgender male speakers.

Methods: Twenty autistic adults of various genders each told four narratives: two based on a picture and two about their personal experiences. Dependent variables measured narrative length, grammatical complexity, vocabulary diversity, filled pauses, and internal state terms. Researchers used nonparametric statistics to compare groups of (1) cisgender men and all other participants, (2) participants assigned male at birth and those assigned female, and (3) self-identified women, nonbinary people, and men.

Results: Women used significantly less diverse vocabulary than men. Women used more terms to refer to internal states than both nonbinary people and men, but this finding was not significant after correction for multiple comparisons. All other comparisons were not statistically significant.

Conclusions: Autistic narrators of diverse genders have more linguistic similarities than differences. Autistic women may be more likely to talk about emotions and other internal states than autistic men. Gender-based expectations for spoken communication about internal states should be carefully reconsidered. More research is necessary to determine whether the results of this small study will generalize to larger samples of autistic people whose genders are currently underrepresented in the research literature.

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