Exploring Intrinsic Gender Identity Using Second Life

Virtual Worlds (VWs) provide an environment to understand and explore notions of gender and identity, particularly given the ability for users to experiment with gender in online worlds. Our study analyses gender identity using the virtual space of Second Life (SL) to explore experiences and responses to gender in an avatar. We introduced 46 novice users to the VW of SL in order to see if real life gender influenced their choices of avatar. Participants selected the gender of their original avatar and once they were used to SL, they were then asked to change the gender of that avatar. We used mixed methods research consisting of paper based questionnaires (n=34) and focus groups (n=46) conducted in SL. Nearly all participants chose an initial avatar that reflected their real-life gender with females (n=22) reporting higher levels of identification with this initial avatar. Females were significantly more concerned with the gender-specific appearance of their initial avatar. On swapping gender, females reported higher levels of discomfort and many changed back before 7 minutes. Males (n=24) did not report significant discomfort with their changed-gender avatar and did not revert back to their original avatar as quickly. Our findings suggest that female participants in this study tended to reinforce gender binaries through such things as clothing, hairstyles and behaviors of their avatars. Male participants were less likely to experience discomfort through changing the gender of their avatar (with the males noting they still perceived an avatar with a female appearance as male).

History of Premenstrual Mood Change and Postpartum Episodes are Associated with Perimenopausal Episodes in Women with Bipolar Disorder

Background and Aims: Reproductive life events are potential triggers of mood episodes in women with bipolar disorder. We aimed to establish whether a history of premenstrual mood change and postpartum episodes are associated with perimenopausal episodes in women who have bipolar disorder. Methods: Participants were 339 post-menopausal women with DSM-IV bipolar disorder recruited into the Bipolar Disorder Research Network (www.bdrn.org). Women self-reported presence (N = 200) or absence (N = 139) of an illness episode during the perimenopausal period. History of premenstrual mood change was measured using the self-report Premenstrual Symptoms Screening Tool (PSST), and history of postpartum episodes was measured via semi-structured interview (Schedules for Clinical Assessment in Neuropsychiatry, SCAN) and inspection of case-notes. Results: History of a postpartum episode within 6 months of delivery (OR = 2.13, p = 0.03) and history of moderate/severe premenstrual syndrome (OR = 6.33, p < 0.001) were significant predictors of the presence of a perimenopausal episode, even after controlling for demographic factors. When we narrowed the definition of premenstrual mood change to premenstrual dysphoric disorder, it remained significant (OR = 2.68, p = 0.007). Conclusions: Some women who have bipolar disorder may be particularly sensitive to reproductive life events. Previous mood episodes in relation to the female reproductive lifecycle may help clinicians predict individual risk for women with bipolar disorder approaching the menopause. There is a need for prospective longitudinal studies of women with bipolar disorder providing frequent contemporaneous ratings of their mood to overcome the limitations of retrospective self-report data.