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在跨性别,非二进制和性别多样性的人的观察队列研究中收集和分析纵向数据的考虑因素

S Bailey¹, N Newton¹, Y Perry²

¹The Matilda Centre for Research in Mental Health and Substance Use, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

International journal of transgender health

|October 28, 2024

概括

纵向研究可以改善对跨性别,非二进制和性别多样性健康的理解. 持续且包容性的性别数据收集对于准确的流行病学研究和有效的因果关系声明至关重要.

科学领域:

公共卫生研究公共卫生研究
流行病学流行病学
社会医学科学社会医学科学

背景情况:

纵向观察队列研究越来越多地用于检查跨性别,非二进制和性别多样性 (TGD) 人群的健康状况.
这些研究比横截面设计提供了优势,因为它们可以捕捉随时间变化的变化,并使暴露和结果的前性测量成为可能,从而增强因果推断.
然而,在这些研究中,目前收集的关于性别的数据往往不一致或不充分,这给方法学带来了挑战.

研究的目的:

解决收集TGD个体纵向性别数据的方法问题.
为流行病学研究中严格和包容的数据收集提供基于证据的建议.
改善在纵向健康研究中准确地反映性别多样性.

主要方法:

关于在纵向研究中收集性别数据的现有文献的审查.
分析因不一致或不充分的性别测量而产生的潜在偏见和错误.
根据流行病学原则和包容性制定建议.

主要成果:

不一致或单一时间点的性别收集可能导致错误分类错误.
不充分的性别问题可能无法捕捉到性别多样性的全部范围.
展望和一致的数据收集对于关于TGD健康的有效因果陈述至关重要.

结论:

收集纵向性别数据的方法严谨性对于TGD健康研究至关重要.
建议侧重于提高性别数据收集的一致性,包容性和时间准确性.
采用这些建议将提高有关TGD健康的研究的流行病学有效性和包容性.

关键词:

一个纵向的设计.数据分析数据分析数据分析数据收集数据收集数据收集性别性别性别性别性别性别多样性的性别多样性.非二进制的非二进制.翻译翻译翻译翻译

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