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- Computer Supported Cooperative Work (CSCW)
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The contemporary understanding of gender continues to highlight the complexity and variety of gender identities beyond a binary dichotomy regarding one’s biological sex assigned at birth. The emergence and popularity of various online social spaces also makes the digital presentation of gender even more sophisticated. In this paper, we use non-cisgender as an umbrella term to describe diverse gender identities that do not match people’s sex assigned at birth, including Transgender, Genderfuid, and Non-binary.We especially explore non-cisgender individuals’ identity practices and their challenges in novel social Virtual Reality (VR) spaces where they can present, express, and experiment their identity in ways that traditional online social spaces cannot provide. We provide one of the first empirical evidence of how social VR platforms may introduce new and novel phenomena and practices of approaching diverse gender identities online. We also contribute to re-conceptualizing technology-supported identity practices by highlighting the role of (re)discovering the physical body online and informing the design of the emerging metaverse for supporting diverse gender identities in the future.more » « less
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Sexual and gender minority (SGM) adolescents disproportionately report disordered eating, yet have primarily been considered under a larger SGM umbrella. The current study 1) compared disordered eating between sexual minority (SM) and gender minority (GM) adolescents; 2) examined how general psychological factors (self‐esteem, depression, and stress) and SGM‐specific factors (e.g., feelings about SGM identity, access to SGM resources) were associated with disordered eating; and 3) examined whether associations between these factors differed for SM versus GM adolescents.
SGM adolescents in the U.S. (
N= 8814; 35.0% GM; 43.7% cisgender girls; 66.9% White; Mage = 15.6) reported their disordered eating, depressive symptoms, stress, self‐esteem, and SGM‐related experiences on an anonymous, cross‐sectional online survey. Results
GM adolescents exhibited a higher prevalence of clinical threshold disordered eating than SM adolescents. Self‐esteem was associated with lower odds of caloric restriction, purging, and binge eating. Depression was associated with higher odds of caloric restriction, diet pill use, purging, laxatives, and binge eating. Stress was associated with higher odds of purging. Associations were stronger for GM adolescents' caloric restriction. Positive feelings about SGM identity were associated with lower odds of caloric restriction, purging, and binge eating, whereas greater stress of “coming out” was associated with higher odds of caloric restriction, purging, and binge eating.
These results suggest that SGM adolescents' disordered eating is associated with both general psychological factors and unique SGM experiences. Results highlight the importance of considering how the unique experiences of SGM youth may leave them vulnerable to disordered eating behaviors.
Public Significance Statement
Sexual and gender minority (SGM) youth are disproportionately affected by disordered eating. The current study found that higher depression and stress, and lower self‐esteem, were associated with SGM adolescents' disordered eating. Furthermore, unique SGM experiences, such as stress about coming out, were also associated with eating pathology. Results highlight the importance of considering SGM adolescents' perceptions of their identity and social support.
The purpose of this NSF CAREER project is to explore the participation of LGBTQ students in STEM fields. LGBTQ students leave engineering and other STEM majors and careers at higher rates than their heterosexual, cisgender peers, and the climate within these fields is a contributing factor to this difference in attrition. In order to develop a diverse engineering workforce and adequately prepare the next generation of engineers and other STEM professionals, engineering educators and departments must address inequities such as these to ensure broad participation. This purpose of this poster is to highlight progress toward meeting the first research aim of the overall project, to examine the social networks and related STEM outcomes of LGBTQ students. The project comprises three primary research aims, which also include future work comparing STEM degree completion rates between LGBTQ students and their cisgender, heterosexual peers, and exploring the intersection of STEM discipline-based identity (e.g., engineering identity, science identity) with sexual and gender identity. This project stands to improve our understanding of how to broaden participation in engineering and other STEM fields by pursuing robust research efforts that illuminate the ways sexual and gender identity shape trajectories into, through, and out of STEM. Over the past year of the project, we have accomplished developing and administering a survey to college students nationally. We administered the survey at two universities in Spring 2022 followed by a third in Fall 2022, and administration will conclude at two more in Spring 2023.The survey itself uses an egocentric social network analysis approach to gather data on the characteristics of a subset of students’ social networks, measures of several affective outcomes known to lead to academic persistence, and data on students’ college experiences and personal demographics. For this poster, we present our work testing how well the outcome measures performed in the survey instrument. Overall, our dataset as collected to date includes 404 students who completed the survey. Of these students, over half were women (58.2%), about a quarter were men (28.1%), and 8.9% were nonbinary, genderqueer, or gender nonconforming. In terms of sexual identity, 38.8% of were heterosexual, 30.1% were bisexual or pansexual, 14.4% were gay or lesbian, and 6.5% were asexual. Our survey measured three affective outcomes: sense of belonging in one’s major, commitment to one’s major, and science and engineering identity. Reliability testing and factor analysis demonstrated that our data performed well in replicating the factor structure of our measures, and content validity testing demonstrated these measures related as expected with other variables in the dataset.more » « less