Previous studies have found gender differences in body-related attentional bias (AB), with women showing AB towards weight-related body parts. However, few studies have assessed the relationship between body-related AB and muscularity dissatisfaction (MD) in men. This study aimed to assess the presence of muscle-related AB in men, using a combination of a virtual reality (VR) embodiment-based technique and eye-tracking (ET) technology. Twenty men with high MD and 20 with low MD, owned a virtual avatar that had the same silhouette and body mass index as the participant. To analyze the gaze data, muscle-related areas of interest (M-AOIs) and nonmuscle-related areas of interest (NM-AOIs) were defined. The complete fixation time and the number of fixations on each AOI were recorded. Mixed between (group)-within (AOI_condition) analyses of variance showed a statistically significant interaction between group and time ( < 0.05) in both AB measures. Follow-up analyses revealed an AB towards M-AOIs only in men with high MD. Overall, men with high MD spent more time looking and displayed a higher number of fixations on M-AOIs, specifically the chest and shoulders, compared to men with low MD. This study provides new information about the relationship between MD and body-related AB in men. Combining VR with ET technologies presents interesting opportunities in the study of body image in men.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355895 | PMC |
| http://dx.doi.org/10.3390/jcm9061736 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Application of machine learning for detecting high fall risk in middle aged workers using video-based analysis of the first three steps.
J Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Age-specific and sex-specific associations of visceral adipose tissue with metabolic health status and cardiovascular disease risk.
Acta Diabetol
January 2025
Division of Life Sciences and Medicine, Department of Endocrinology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, China.
Background: Visceral adipose tissue (VAT) is known to play a role in the development of metabolic and cardiovascular disease (CVD). However, the age- and sex-specific associations between VAT and these diseases remain unclear.
Methods: In this cross-sectional study, 1,150 participants (39.
Predictive Factors of Resilience in Early Childhood Care Professionals.
Healthcare (Basel)
January 2025
Faculty of Medicine, University of Granada, 18012 Granada, Spain.
Early childhood intervention professionals have higher rates of work-related stress and burnout compared to other health professionals. Furthermore, this is exacerbated by exposure to negative emotions, the stigma associated with mental health, and even the stress experienced by families due to the impact of having a child with a developmental disability. The aim of this study was to determine whether emotional intelligence and empathy were able to predict resilience in early childhood care professionals.
View Article and Find Full Text PDFHealth Literacy and Internet Use Among Japanese Older Adults: A Gender-Stratified Cross-Sectional Analysis of the Moderating Effects of Neighborhood Relationships.
Healthcare (Basel)
December 2024
Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan.
: Internet use positively impacts mental health in older adults, with health literacy (HL) playing a key role. While social networks may complement individual HL, the role of neighborhood relationships in this association, particularly by gender, remains unclear. This study examined how the association between HL and Internet use among older adults was modified by neighborhood relationships.
View Article and Find Full Text PDFMinimum number of readings necessary for determining long-term visit-to-visit blood pressure variability to predict cardiovascular outcomes in people with diabetes.
J Hypertens
December 2024
Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Background: People with diabetes often have increased blood pressure (BP) variability because of autonomic dysfunction and arterial stiffness, making it a critical factor in predicting clinical outcomes. We investigated the reproducibility of long-term visit-to-visit BP variability (VVV) and the minimum number of BP readings to reliably determine VVV in people with diabetes.
Methods: This multicenter retrospective study used data from electronic health records of the Korea University Medical Center database.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!