Department of Psychiatry, University of Pittsburgh, Pittsburgh.
Am J Psychiatry. 2022 May;179(5):388-392. doi: 10.1176/appi.ajp.21070758.
The authors examined representation and accuracy of descriptions of sociodemographic identities in psychiatric research through quantifying data contained in recently published articles from a high-impact psychiatry journal.
Sociodemographic data were aggregated from articles (i.e., studies that provide information on individual samples) published in the in 2019 and 2020 (N=125). Articles were coded by two raters for sociodemographic data, acknowledgment of lack of representation as a limitation, and focus on health disparities or inequities.
While 90% of studies provided the age of participants and 84% provided information about the sex/gender of participants, only 43% presented information about the racial or ethnicity identities of participants. One study reported the sexual identity of participants. Lack of representation relative to 2019 U.S. Census data was found for multiple racial groups, Latino/Hispanic individuals, and women (genetic studies only). Only 25% of studies acknowledged lack of representation as a limitation, and two studies focused on health disparities or inequities.
These findings highlight a need to increase representation in psychiatric research and improve accuracy of language when describing the sociodemographic characteristics of participants.
作者通过量化最近发表的一篇高影响力精神病学期刊文章中的数据，研究了精神医学研究中社会人口统计学身份描述的代表性和准确性。
从 2019 年和 2020 年发表的（提供个体样本信息的研究）中提取社会人口统计学数据（n=125）。由两名评估者对社会人口统计学数据、将代表性不足作为局限性的承认以及对健康差异或不平等的关注进行编码。
尽管 90%的研究提供了参与者的年龄，84%的研究提供了参与者的性别/性别信息，但只有 43%的研究提供了参与者的种族或民族身份信息。一项研究报告了参与者的性身份。与 2019 年美国人口普查数据相比，多个种族群体、拉丁裔/西班牙裔个体和女性（仅遗传研究）的代表性不足。只有 25%的研究承认代表性不足是一个局限性，有两项研究关注健康差异或不平等。
这些发现强调了在精神医学研究中增加代表性和提高描述参与者社会人口统计学特征的语言准确性的必要性。
