11 research outputs found

    The juror's story

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    Thesis (B.S.)--University of Illinois at Urbana-Champaign, 1999.Includes bibliographical reference (leaves 19-21)U of I OnlyTheses restricted to UIUC community onl

    The influence of weight on psychosocial well-being in diabetes

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    Abstract Background Individuals with diabetes experience a wide variety of psychosocial responses to their illness due, in part, to the nature of type 1 and type 2 diabetes. Variation in patient weight may play a central role in these differences, yet its influence on psychosocial variation is largely unknown. The current study investigates the relationship between patients’ perceived weight status and aspects of psychosocial well-being among individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D). Methods Individuals who were diagnosed with type 1 or type 2 diabetes were assessed via an online survey from the Diabetes, Identity, Attributions, and Health Study. Participants were categorized into a lower v. higher weight status group based on their self-reported perceived weight. Analyses of covariance were conducted to assess differences in measures of disease onset blame, diabetes stigma, and identity concerns among diabetes type and perceived weight status. Covariates included in our models were gender, age, education, and time since diagnosis. Bonferroni correction was used for post-hoc tests to assess any significant interactions found in our models. Results Findings indicated that weight moderates multiple psychosocial outcomes pertinent to illness experience. Those with T2D and lower weight blamed themselves less for their disease onset, while those with higher weight felt blamed more for their disease onset by others, regardless of diabetes type. Individuals with T1D and higher weight were more frequently and more concerned about being mistaken for having the other disease type (i.e., T2D) compared to those with lower weight. Conclusions Weight is a key influence on the psychosocial outcomes for people with diabetes, but it operates differently in type 1 versus type 2 diabetes. By further examining the unique interaction between disease type and weight status we may be able to improve psychological well-being among affected individuals of all sizes

    Gender differences in cybersickness: Clarifying confusion and identifying paths forward

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    Cybersickness is a barrier to widespread adoption of virtual reality (VR). We summarize the literature and conclude that women experience more cybersickness than do men, but that the size of the gender effect is modest. We present a mediation and moderation framework for organizing existing research and proposing new questions about gender and cybersickness. A mediator causally connects gender and cybersickness, and a moderator changes the magnitude of the gender difference in cybersickness.This is a pre-print of the article Kelly, Jonathan, Stephen B. Gilbert, Michael Dorneich, and Kristi Costabile. 2023. “Gender Differences in Cybersickness: Clarifying Confusion and Identifying Paths Forward.” PsyArXiv. DOI:10.31234/osf.io/qrkdx. Attribution 4.0 International (CC BY 4.0). Copyright 2023 The Authors. Posted with permission
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