(1) Background: Patients and survivors of head and neck cancer (HNC) are at a high risk of developing body image concerns. Despite the prevalence of body image concerns in patients with HNC, there is a lack of longitudinal research exploring the wide array of its associated determinants. The current longitudinal study examined the determinants and longitudinal course of body image dissatisfaction in patients with HNC. (2) Methods: Patients participated in Structured Clinical Interviews and self-administered questionnaires at four time-points: (T1) upon cancer diagnosis, (T2) at 3 months post-diagnosis, (T3) at 6 months post-diagnosis, and (T4) at 12 months post-diagnosis. They also underwent a disfigurement rating on an objective scale. (3) Results: Two hundred and twenty-four patients participated in our study. Fourteen percent to twenty-eight percent of patients reported at least moderate body image concerns across time points, with the lowest rates at baseline and the highest at 3 months (T1). It was found that patients more predisposed to developing higher levels of body image concerns presented physical markers (i.e., advanced cancer stage, lower physical functioning, higher disfigurement), psychosocial markers (i.e., higher depression, higher anxiety, and higher levels of coping with denial), and health disparities (i.e., younger age, female sex, French language, and marital status, with divorced and widowers most affected). (4) Conclusions: The findings of this study highlight the multifaceted nature of body image concerns in patients with HNC and its biopsychosocial determinants. Clinicians should pay specific attention to these biopsychosocial markers in their clinics to predict high levels of body image concerns and tailor communication/refer for support accordingly.
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http://dx.doi.org/10.3390/curroncol29070353 | DOI Listing |
Asia Pac J Oncol Nurs
December 2025
Department of Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi, China.
Objective: This study aimed to assess the feasibility, acceptability, and preliminary efficacy of a Systematic Transaction Model (STM)-guided dyadic coping nursing intervention for patients with breast cancer and their spouses.
Methods: A single-arm, pre-test/post-test pilot study was conducted at a tertiary hospital in Wuxi, China, recruiting 28 breast cancer patient-caregiver pairs. Each dyad participated in six hybrid intervention sessions.
Eng Comput
December 2024
Center for Real-Time Computing, Department of Computer Science, Old Dominion University, Norfolk, VA, United States of America.
Converting a three-dimensional medical image into a 3D mesh that satisfies both the quality and fidelity constraints of predictive simulations and image-guided surgical procedures remains a critical problem. Presented is an image-to-mesh conversion method called CBC3D. It first discretizes a segmented image by generating an adaptive Body-Centered Cubic (BCC) mesh of high-quality elements.
View Article and Find Full Text PDFData Brief
December 2024
Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, United States.
Cone and spectral opponency are fundamental to colour processing in many species and are well studied in primates. The data required to make interspecific comparisons of the neural mechanisms associated with colour processing is spread across a broad body of literature reaching back to the 1950's across four retinal cell types and multiple brain regions. We aimed to produce a comprehensive dataset of all known cone opponent cells in non-primate vertebrates in image forming visual pathways.
View Article and Find Full Text PDFJ Vis Exp
December 2024
CFD Research Corporation;
Military personnel involved in weapon training are subjected to repeated low-level blasts. The prevailing method of estimating blast loads involves wearable blast gauges. However, using wearable sensor data, blast loads to the head or other organs cannot be accurately estimated without knowledge of the service member's body posture.
View Article and Find Full Text PDFQual Health Res
December 2024
École de Santé Publique de l'Université de Montréal and Centre de Recherche en Santé Publique, Montreal, QC, Canada.
Multimodal critical discourse analysis is a dynamic approach to qualitative data analysis that expands critical discourse analysis to include multiple communicative modes-such as images, graphics, video, and sound/music-into the semiotic analysis of ideology and power relations within contemporary forms of communication. We reflect on the potential of multimodal critical discourse analysis to be combined with arts-based health research as an analytic method to deconstruct discourses that shape the health and well-being of marginalized communities. Specifically, we frame this potential within our research about men's body image based a project using cellphilming and the deconstruction of cis-heteronormative and related ideologies.
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