Background In this paper, we argue for Gender as a Sociocultural Variable (GASV) as a complement to Sex as a Biological Variable (SABV). Sex (biology) and gender (sociocultural behaviors and attitudes) interact to influence health and disease processes across the lifespan—which is currently playing out in the COVID-19 pandemic. This study develops a gender assessment tool—the Stanford Gender-Related Variables for Health Research—for use in clinical and population research, including large-scale health surveys involving diverse Western populations. While analyzing sex as a biological variable is widely mandated, gender as a sociocultural variable is not, largely because the field lacks quantitative tools for analyzing the influence of gender on health outcomes. Methods We conducted a comprehensive review of English-language measures of gender from 1975 to 2015 to identify variables across three domains: gender norms, gender-related traits, and gender relations. This yielded 11 variables tested with 44 items in three US cross-sectional survey populations: two internet-based (N = 2051; N = 2135) and a patient-research registry (N = 489), conducted between May 2017 and January 2018. Results Exploratory and confirmatory factor analyses reduced 11 constructs to 7 gender-related variables: caregiver strain, work strain, independence, risk-taking, emotional intelligence, social support, and discrimination. Regression analyses, adjusted for age, ethnicity, income, education, sex assigned at birth, and self-reported gender identity, identified associations between these gender-related variables and self-rated general health, physical and mental health, and health-risk behaviors. Conclusion Our new instrument represents an important step toward developing more comprehensive and precise survey-based measures of gender in relation to health. Our questionnaire is designed to shed light on how specific gender-related behaviors and attitudes contribute to health and disease processes, irrespective of—or in addition to—biological sex and self-reported gender identity. Use of these gender-related variables in experimental studies, such as clinical trials, may also help us understand if gender factors play an important role as treatment-effect modifiers and would thus need to be further considered in treatment decision-making.

School-based behavioral consultation with classroom teachers is one of the primary ways school psychologists deliver intervention services to students. The present study aimed to evaluate the acceptability of videoconferencing (VC) with teachers as an alternative medium of consultative communication. Specifically, problem identification interviews (PIIs) were conducted with 60 classroom teachers to simulate a typical consultation interaction. Each teacher completed two PIIs with the researcher consultants, one in a traditional face-to-face (FtF) format and one in a videoconference (VC) format Teachers completed two brief pre-post measures, the Fast Form of the Technology Acceptability Model (FF-TAM) and the Distance Communication Comfort Scale (DCCS) to evaluate the acceptability of VC. Demographic moderators of the acceptability of VC were evaluated using a multiple regression analysis. The results suggest that although teachers rated VC as an acceptable communication medium prior to participating in the VC interview, teacher acceptability ratings increased to "highly acceptable" after participating in the study. Finally, no variables were identified that significantly moderated the relationship between teachers' acceptability rating of VC and their demographic variables. Implications for practice and future research are discussed. C 2016 Wiley Periodicals, Inc.

This study develops a gender assessment tool for use in clinical and population research, including large-scale health surveys involving diverse Western populations. While analyzing sex as a biological variable is widely mandated, gender as a sociocultural variable is not, largely because the field lacks quantitative tools for analyzing the influence of gender on health outcomes. We conducted a comprehensive review of English-language measures of gender from 1975 to 2015 to identify variables across three domains: gender norms, gender-related traits, and gender relations. This yielded 11 variables tested with 44 items in three US cross-sectional survey populations: two internet-based (N= 2,051; N= 2,135) and a patient-research registry (N= 489), conducted between May 2017 and January 2018. Exploratory and confirmatory factor analyses distilled 11 constructs to 7 gender-related variables: caregiver strain, work strain, independence, risk-taking, emotional intelligence, social support, and discrimination. Regression analyses, adjusted for age, ethnicity, income, education, sex assigned at birth, and self-reported gender identity, identified associations between these gender-related variables and self-rated general health, physical and mental health, and health-risk behaviors. Our new instrument can be used to develop health interventions based on a fuller understanding of gender associations with health.

Adults who are homeless smoke at greater rates and quit at lower rates than domiciled adults, leading to significant smoking-related health disparities among this group. Findings suggest that cigarette purchasing patterns are linked with readiness to quit smoking among smokers who are homeless. Results elucidate one of the myriad factors that contribute to tobacco-related disparities among this group and findings may have implications for cessation interventions in homeless shelters and other contexts where resources are limited.

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