Reconsidering tools for measuring gender dimensions in biomedical research.

IF 4.9 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Rosemary Morgan, Anna Yin, Anna Kalbarczyk, Janna R Shapiro, Patrick J Shea, Helen Kuo, Carmen H Rodriguez, Erica N Rosser, Andrew Pekosz, Sean X Leng, Sabra L Klein
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Abstract

Sex and gender play important roles in contributing to disease and health outcomes and represent essential, but often overlooked, measures in biomedical research. The context-specific, multifaceted, and relational nature of gender norms, roles, and relations (i.e., gender dimensions) make their incorporation into biomedical research challenging. Gender scores-measures of gender dimensions-can help researchers incorporate gender into quantitative methodologies. These measures enable researchers to quantify the gendered dimensions of interest using data collected from survey respondents. To highlight the complexities of using gender scores within biomedical research, we used the application of the Bem Sex Role Inventory (BSRI) scale, a commonly used gender score, to explore gender differences in adverse events to the influenza vaccine among older adults (75+). Within this paper, we focus on the findings from our longitudinal gender score data collected over three influenza seasons (2019-20, 2020-21, and 2021-22), irrespective of adverse event data, to provide commentary on the reliability of gender scores, such as the BSRI, and the complexities of their application. Of the 162 total study participants included within the study, 69 were enrolled in all three consecutive seasons and 35 participants were enrolled in two consecutive seasons. The majority of participants had a different gender score in at least one of the years, demonstrating the nuances and fluidity of gender identity. Interpretations of BSRI data (or other gender score data) when measured against outcome data must, therefore, be time and context specific, as results are unlikely to be replicated across years.

重新考虑生物医学研究中的性别测量工具。
性和性别在导致疾病和健康结果方面发挥着重要作用,是生物医学研究中不可或缺但却经常被忽视的衡量标准。性别规范、角色和关系(即性别维度)具有特定背景、多面性和关联性,因此将其纳入生物医学研究具有挑战性。性别评分--性别维度的测量方法--可以帮助研究人员将性别问题纳入定量方法中。通过这些测量方法,研究人员可以利用从调查对象那里收集到的数据对所关注的性别维度进行量化。为了强调在生物医学研究中使用性别评分的复杂性,我们采用了常用的性别评分方法--贝姆性别角色量表 (BSRI) 来探讨老年人(75 岁以上)接种流感疫苗后不良反应的性别差异。在本文中,我们将重点关注我们在三个流感季节(2019-20、2020-21 和 2021-22)收集的纵向性别评分数据的结果,而不考虑不良事件数据,从而对 BSRI 等性别评分的可靠性及其应用的复杂性进行评述。本研究共纳入了 162 名参与者,其中 69 人连续三个赛季都参加了研究,35 人连续两个赛季都参加了研究。大多数参与者至少有一年的性别得分不同,这表明了性别认同的细微差别和流动性。因此,在根据结果数据衡量 BSRI 数据(或其他性别得分数据)时,必须根据具体的时间和背景进行解释,因为不同年份的结果不太可能重复。
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来源期刊
Biology of Sex Differences
Biology of Sex Differences ENDOCRINOLOGY & METABOLISM-GENETICS & HEREDITY
CiteScore
12.10
自引率
1.30%
发文量
69
审稿时长
14 weeks
期刊介绍: Biology of Sex Differences is a unique scientific journal focusing on sex differences in physiology, behavior, and disease from molecular to phenotypic levels, incorporating both basic and clinical research. The journal aims to enhance understanding of basic principles and facilitate the development of therapeutic and diagnostic tools specific to sex differences. As an open-access journal, it is the official publication of the Organization for the Study of Sex Differences and co-published by the Society for Women's Health Research. Topical areas include, but are not limited to sex differences in: genomics; the microbiome; epigenetics; molecular and cell biology; tissue biology; physiology; interaction of tissue systems, in any system including adipose, behavioral, cardiovascular, immune, muscular, neural, renal, and skeletal; clinical studies bearing on sex differences in disease or response to therapy.
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