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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.

Abstract Introduction Active and passive surveillance studies have found that a greater proportion of females report adverse events (AE) following receipt of either the COVID-19 or seasonal influenza vaccine compared to males. In a predominately young adult female population of healthcare workers, we sought to determine the intersection of biological sex and sociocultural gender differences in prospective active reporting of vaccine outcomes, which remains poorly characterized. Methods This cohort study enrolled Johns Hopkins Health System healthcare workers (HCWs) who were recruited from the mandatory annual fall 2019–2022 influenza vaccine and the fall 2022 COVID-19 bivalent vaccine campaigns. Vaccine recipients were enrolled the day of vaccination and AE surveys were administered two days post-vaccination for bivalent COVID-19 and influenza vaccine recipients. Data were collected regarding the presence of a series of solicited local and systemic AEs. Open-ended answers about participants’ experiences with AEs also were collected for the COVID-19 vaccine recipients. Results Females were more likely to report local AEs after either influenza (OR = 2.28, p = 0.001) or COVID-19 (OR = 2.57, p = 0.008) vaccination compared to males, regardless of age or race. Males and females had comparable probabilities of reporting systemic AEs after either influenza (OR = 1.18, p = 0.552) or COVID-19 (OR = 0.96, p = 0.907) vaccination. Hormonal birth control use did not impact the rates of reported AEs following influenza vaccination among reproductive-aged female HCWs. Women reported more interruptions in their daily routine following COVID-19 vaccination than men and were more likely to seek out self-treatment. More women than men scheduled their COVID-19 vaccination before their days off in anticipation of AEs. Conclusions Our findings highlight the need for sex- and gender-inclusive policies to inform more effective mandatory occupational health vaccination strategies. Further research is needed to evaluate the potential disruption of AEs on occupational responsibilities following mandated vaccination for healthcare workers, a predominately female population, and to more fully characterize the post-vaccination behavioral differences between men and women.