重新考虑在生物医学研究中衡量性别层面的工具
Rosemary Morgan1, Anna Yin2, Anna Kalbarczyk3
1Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Rosemary.Morgan@jhu.edu.
Biology of sex differences
|November 26, 2024
概括
性别分数,就像Bem性别角色库存 (BSRI) 一样,随着时间的推移显示性别认同的流动性. 这凸显了在生物医学研究中需要特定于时间和环境的解释.
科学领域:
- 生物医学研究的研究.
- 社会科学 社会科学 社会科学
- 老年学是一门学科.
背景情况:
- 性和性别是影响健康结果的关键因素,但往往被忽视.
- 将复杂的性别层面纳入定量生物医学研究提出了挑战.
- 性别分数提供了一种使用调查数据量化性别维度的方法.
研究的目的:
- 检查生物医学研究中性别分数的可靠性和应用复杂性.
- 通过使用Bem性别角色清单 (BSRI) 尺度分析纵向性别分数数据.
- 探索老年人 (75岁以上) 流感疫苗不良事件的性别差异.
主要方法:
- 利用了来自Bem性别角色库存 (BSRI) 规模的纵向数据,涵盖了三个流感季节 (2019-2022年).
- 分析了来自162名老年成人 (75岁以上) 的性别评分数据.
- 专注于性别得分的可靠性,无论不良事件数据如何.
主要成果:
- 大多数参与者在研究期间表现出不同的性别分数,这表明性别流动性.
- 很大一部分参与者 (69/162) 参与了所有三个赛季,其中35人参加了两个赛季.
- 调查结果强调了BSRI测量的性别认同的动态性质.
结论:
- 性别分数,如BSRI,证明了性别认同的细微差别和流动性随着时间的推移.
- 对性别评分数据的解释必须是特定于时间和环境的,以实现准确的生物医学研究.
- 性别评分分析的结果不太可能在不同年份一致复制.
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