Development of a Body Image Concern Scale using both exploratory and confirmatory factor analyses in Chinese university students.

Neuropsychiatr Dis Treat

Department of Clinical Psychology and Psychiatry, School of Public Health, Zhejiang University College of Medicine, Hangzhou, People's Republic of China.

Published: May 2017

Background: The body dysmorphic disorder is prevalent in general population and in psychiatric, dermatological, and plastic-surgery patients, but there lacks a structure-validated, comprehensive self-report measure of body image concerns, which is established through both exploratory and confirmatory factor analyses.

Methods: We have composed a 34-item matrix targeting the body image concerns and trialed it in 328 male and 365 female Chinese university students. Answers to the matrix dealt with treatments including exploratory factor analyses, reserve of qualified items, and confirmatory factor analyses of latent structures.

Results: Six latent factors, namely the Social Avoidance, Appearance Dissatisfaction, Preoccupation with Reassurance, Perceived Distress/Discrimination, Defect Hiding, and Embarrassment in Public, were identified. The factors and their respective items have composed a 24-item questionnaire named as the Body Image Concern Scale. Each factor earned a satisfactory internal reliability, and the intercorrelations between these factors were in a median level. Women scored significantly higher than men did on the Appearance Dissatisfaction, Preoccupation with Reassurance, and Defect Hiding.

Conclusion: The Body Image Concern Scale has displayed its structure validation and gender preponderance in Chinese university students.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457153PMC
http://dx.doi.org/10.2147/NDT.S138762DOI Listing

Publication Analysis

Top Keywords

body image
20
image concern
12
concern scale
12
confirmatory factor
12
factor analyses
12
chinese university
12
university students
12
exploratory confirmatory
8
image concerns
8
appearance dissatisfaction
8

Similar Publications

True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially available and dramatically increase system sensitivity over conventional AFOV PET/CT. The Siemens Biograph Vision Quadra (Quadra), with an AFOV of 106cm, potentially allows use of significantly lower administered radiopharmaceuticals as well as reduced scan times. The aim of this study was to optimise acquisition protocols for routine clinical imaging with FDG on the Quadra the prioritisation of reduced activity given physical infrastructure constraints in our facility.

View Article and Find Full Text PDF

Background: To define optimal parameters for the evaluation of vessel visibility in intracranial stents (ICS) and flow diverters (FD) using photon-counting detector computed tomography angiography (PCD-CTA) with spectral reconstructions.

Methods: We retrospectively analyzed consecutive patients with implanted ICS or FD, who received a PCD-CTA between April 2023 and March 2024. Polyenergetic, virtual monoenergetic, pure lumen, and iodine reconstructions with different keV levels (40, 60, and 80) and reconstruction kernels (body vascular [Bv]48, Bv56, Bv64, Bv72, and Bv76) were evaluated by two radiologists with regions of interests and Likert scales.

View Article and Find Full Text PDF

Optimizing dental implant identification using deep learning leveraging artificial data.

Sci Rep

January 2025

Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kita-gun, Takamatsu, 761-0793, Kagawa, Japan.

This study aims to evaluate the potential enhancement in implant classification performance achieved by incorporating artificially generated images of commercially available products into a deep learning process of dental implant classification using panoramic X-ray images. To supplement an existing dataset of 7,946 in vivo dental implant images, a three-dimensional scanner was employed to create implant surface models. Subsequently, implant surface models were used to generate two-dimensional X-ray images, which were compiled along with original images to create a comprehensive dataset.

View Article and Find Full Text PDF

Preferences for the ocular region aesthetics and elective double eyelid surgery in Chinese: A nationwide discrete choice experiment.

J Plast Reconstr Aesthet Surg

July 2024

Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong, China. Electronic address:

Objective: This study aimed to investigate preferences for elective double eyelid surgery and explore the psychosocial underpinnings influencing ocular aesthetics and attitudes toward aesthetic surgery.

Method: This nationwide online experiment was conducted throughout four tiers of cities in China using quota sampling, which included self-administered Likert scales for general self-efficacy and modified body image and a set of discrete choice experiments (DCE) that measured the relative value and odds ratio of elective double eyelid surgery surgical options and marginal willingness to pay for procedure attributes.

Results: A total of 554 respondents were included in the final analysis (41.

View Article and Find Full Text PDF

"I sometimes feel like I can't win!": An exploratory mixed-methods study of women's body image and experiences of exercising in gym settings.

PLoS One

January 2025

Centre for Appearance Research, School of Social Sciences, College of Health, Science and Society, University of the West of England, Bristol, United Kingdom.

Despite an increase in gym memberships, women are less active than men and little is known about the barriers women face when navigating gym spaces. This study explored women's body image and experiences exercising in gyms. Two-hundred and seventy-nine women (84% current gym-goers; 68.

View Article and Find Full Text PDF

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!