Lynn-Green Erika E, Ofoje Avery A, Lynn-Green Robert H, Jones David S
Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
The Medical University of South Carolina, 171 Ashley Avenue, Charleston, SC 29425, USA.
EClinicalMedicine. 2023 Mar 14;58:101903. doi: 10.1016/j.eclinm.2023.101903. eCollection 2023 Apr.
The use of demographic variables in the medical literature has been a topic of much recent debate. Recent studies found that race and socioeconomic status (SES) are inconsistently reported. Best-practice use of sex and gender has been contentious. We aimed to characterise the state of medical demographic reporting in greater detail, especially regarding geography and specific terms used in articles.
Original articles were included from issues of the (), , , and the () published from 1 January to 31 December 2020 (n = 640). Articles without human participants, case reports, or with only aggregate data were excluded, leaving 594 articles. Use of age, sex, gender, race, ethnicity, and SES were coded, as well as corresponding author and participant geography.
99.0% of articles reported age. While 92.9% reported sex alone, only 4.7% used the term gender and 1.0% transgender. 47.8% of articles reported race and 29.6% reported ethnicity. Studies with U.S. corresponding authors or participants were significantly more likely to report race (72.9% and 73.7% respectively) or ethnicity (47.3% and 45.3% respectively) than those without (25.9% and 25.6% for race, 14.2% and 16.3% for ethnicity), p < 0.01 for all. Of articles reporting race, 40.9% used only a Black-white binary; of those reporting ethnicity, 85.2% included two or fewer terms. Under 5.0% of all articles used Office of Management and Budget (OMB) categories. Across all articles, 33.0% reported SES, from 15.2% in to 80.2% in .
We found that while some factors (age, sex) are reported consistently, others (gender, race, ethnicity, SES) are not, despite recent attention. Authors often rely on binary or limited categories that inadequately capture human diversity. The presence of U.S. researchers or participants increased the reporting of race and/or ethnicity, highlighting wide variations that persist even as multinational collaborations become widespread. Researchers should reflect on their use of these terms, justify their decisions, and report results with care.
None.
在医学文献中使用人口统计学变量是近期备受争议的话题。近期研究发现,种族和社会经济地位(SES)的报告并不一致。性别在最佳实践中的使用一直存在争议。我们旨在更详细地描述医学人口统计学报告的现状,尤其是关于文章中使用的地理信息和特定术语。
纳入2020年1月1日至12月31日出版的《[期刊名称1]》《[期刊名称2]》《[期刊名称3]》和《[期刊名称4]》(n = 640)的原始文章。排除无人类参与者的文章、病例报告或仅有汇总数据的文章,最终留下594篇文章。对年龄、性别、种族、民族和SES的使用情况进行编码,同时对通讯作者和参与者的地理位置进行编码。
99.0%的文章报告了年龄。虽然92.9%的文章仅报告了性别,但只有4.7%的文章使用了“gender”一词,1.0%的文章使用了“transgender”。47.8%的文章报告了种族,29.6%的文章报告了民族。与没有美国通讯作者或参与者的研究相比,有美国通讯作者或参与者的研究报告种族(分别为72.9%和73.7%)或民族(分别为47.3%和45.3%)的可能性显著更高(种族方面分别为25.9%和25.6%,民族方面分别为14.2%和16.3%),所有比较的p值均<0.01。在报告种族的文章中,40.9%仅使用了黑人和白人二元分类;在报告民族的文章中,85.2%使用的术语不超过两个。所有文章中,不足5.0%的文章使用了管理和预算办公室(OMB)的分类。在所有文章中,33.0%的文章报告了SES,在《[期刊名称1]》中为15.2%,在《[期刊名称4]》中为80.2%。
我们发现,尽管最近受到了关注,但一些因素(年龄、性别)的报告较为一致,而其他因素(gender、种族、民族、SES)并非如此。作者通常依赖二元或有限的分类,无法充分体现人类的多样性。美国研究人员或参与者的存在增加了种族和/或民族的报告,这凸显了即使跨国合作广泛开展,差异仍然很大。研究人员应该反思这些术语的使用,为自己的决策提供合理依据,并谨慎报告结果。
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