Women tend to overestimate their body size, including space needed to pass through gaps/apertures. These results were generated using static apertures resembling doorways. However, body image is influenced by other bodies around us, and how estimations of passability may be influenced by social context is unknown. To investigate, a series of apertures were created comprising two women facing each other, with the space between creating the 'doorway'. The apertures were created using either two larger-bodied or two smaller-bodied women. Non-social versions were generated using the social aperture silhouettes. Thirty-four undergraduate women viewed a series of apertures - varying in width relative to their own size - and judged whether they believed they could pass through them. State and trait body dissatisfaction measurements were also taken. Point of subjective equality (PSE) data suggested that participants did not overestimate the space needed to pass through apertures overall, but showed an overestimation of space for the larger-bodied social doorways. Correlations suggested higher levels of state body dissatisfaction associated with higher PSEs, but only in the social conditions. Results showed that participants may have been engaging in different mechanisms regarding social versus non-social doorways, and the importance of social context when investigating own body size estimations.
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http://dx.doi.org/10.1016/j.bodyim.2022.01.017 | DOI Listing |
J Med Internet Res
January 2025
Division of Surgery & Interventional Science, Faculty of Medical Sciences, University College London, London, United Kingdom.
Background: The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Background: Information exchange regarding the scope and content of health studies is becoming increasingly important. Digital methods, including study websites, can facilitate such an exchange.
Objective: This scoping review aimed to describe how digital information exchange occurs between the public and researchers in health studies.
PLoS One
January 2025
Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, Utah, United States of America.
The objective of this study was to develop and to test the validity and reliability of a survey aimed to evaluate internal and external factors associated with college food insecurity. Researchers used a mixed methods approach to evaluate the College Perspectives around Food Insecurity survey. Survey items were constructed from interview data and assigned a social cognitive theory concept (environment, personal, or behavior).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Psychology, University of Rochester, Rochester, New York, United States of America.
Individuals embody various social identities that can impact how they interface with the social environment. Stigma theories suggest that members of low-status or marginalized groups possess devalued social identities, and therefore, experience more stress. While social identities can lead to increased stress, individuals' appraisals of their identities are not necessarily perceived as harmful/demanding.
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