Introduction And Objective: Individuals who are not professional and competitive athletes but who engage in regular (even daily) physical activity may experience a different body image in the context of physical activity compared with that in everyday life. The Contextual Body Image Questionnaire for Athletes (CBIQA) has been developed to assess aspects of body image within these two dimensions, but has not yet been validated in the Polish population. This study aimed to conduct a cross-cultural adaptation of the CBIQA for physically active Polish adults.

Material And Methods: The study sample comprised 90 young Polish adults (49 women and 41 men). All respondents regularly participated in recreational sports. The average age of the sample was 21.4 years. All participants engaged in physical activity at least 3 times per week. The average training experience was 8.6 years. A 3-phase study was conducted: 1) translation of the CBIQA for use in a Polish sample, 2) pretesting and cognitive debriefing, and 3) evaluation of the test-retest reliability. The test-retest interval was 7 days. Interclass correlation coefficients were calculated.

Results: The 1-week test- retest results (ICC) ranged from 0.83-0.94 in the daily life subscales and from 0.86-0.95 in the athletic subscales among all participants. The reliability of the CBIQA was high. The alpha value for the internal consistency of the translated and adapted instrument was 0.91. After the translation and cognitive interview, 3 sentences were reworded to adapt the instrument to Polish culture.

Conclusions: The CBIQA exhibited a high tes-retest reliability and good validity for assessing daily and physical activity-related body image in a Polish population.

Download full-text PDF

Source
http://dx.doi.org/10.26444/aaem/162686DOI Listing

Publication Analysis

Top Keywords

body image
20
physical activity
12
cross-cultural adaptation
8
contextual body
8
image questionnaire
8
questionnaire athletes
8
physically active
8
active polish
8
polish adults
8
daily physical
8

Similar Publications

Background And Objective: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive user data must be transmitted to untrusted cloud servers. Existing privacy-preserving solutions are hindered by significant latency issues, stemming from the computational complexity of inner product operations in convolutional layers and the high communication costs of evaluating nonlinear activation functions.

View Article and Find Full Text PDF

Introduction And Importance: Debulking surgery is the main approach for recurrent adult granulosa cell tumors (AGCTs), but the effectiveness of laparoscopic extensive cytoreduction in advanced cases and its impact on quality of life (QoL) remains unclear.

Case Presentation: A 34-year-old woman, who had a right adnexectomy for AGCT in 2020, was referred with an 8-month history of a large left ovarian cyst and amenorrhea. Preoperative evaluations indicated a recurrence 18 months post-diagnosis.

View Article and Find Full Text PDF

Exploring factors influencing body acceptance in women with breast cancer: A cross-sectional study.

Eur J Oncol Nurs

January 2025

College of Nursing, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, 04763, Seoul, Republic of Korea. Electronic address:

Purpose: Body acceptance in women with breast cancer is a crucial factor related to their physical, psychological health, and quality of life. However, research on the factors influencing body acceptance in this population is lacking. This study aims to identify these factors to provide insights for developing tailored interventions.

View Article and Find Full Text PDF

Multiple token rearrangement Transformer network with explicit superpixel constraint for segmentation of echocardiography.

Med Image Anal

January 2025

General Hospital of the Southern Theatre Command, PLA, Guangzhou, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China. Electronic address:

Diagnostic cardiologists have considerable clinical demand for precise segmentation of echocardiography to diagnose cardiovascular disease. The paradox is that manual segmentation of echocardiography is a time-consuming and operator-dependent task. Computer-aided segmentation can reduce the workflow greatly.

View Article and Find Full Text PDF

Intraindividual Comparison of Image Quality Between Low-Dose and Ultra-Low-Dose Abdominal CT With Deep Learning Reconstruction and Standard-Dose Abdominal CT Using Dual-Split Scan.

Invest Radiol

January 2025

From the Department of Radiology, Ulsan University Hospital, Ulsan, Republic of Korea (T.Y.L.); Department of Radiology, University of Ulsan College of Medicine, Seoul, Republic of Korea (T.Y.L.); Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea (J.H.Y., H.K., J.M.L.); Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea (J.H.Y., S.H.P., J.M.L.); Department of Radiology, Inje University Busan Paik Hospital, Busan, Republic of Korea (J.Y.P.); Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea (S.H.P.); Department of Radiology, Hanyang University College of Medicine, Seoul, Republic of Korea (C.L.); Division of Biostatistics, Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea (Y.C.); and Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea (J.M.L.).

Objective: The aim of this study was to intraindividually compare the conspicuity of focal liver lesions (FLLs) between low- and ultra-low-dose computed tomography (CT) with deep learning reconstruction (DLR) and standard-dose CT with model-based iterative reconstruction (MBIR) from a single CT using dual-split scan in patients with suspected liver metastasis via a noninferiority design.

Materials And Methods: This prospective study enrolled participants who met the eligibility criteria at 2 tertiary hospitals in South Korea from June 2022 to January 2023. The criteria included (a) being aged between 20 and 85 years and (b) having suspected or known liver metastases.

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!