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http://dx.doi.org/10.1097/00001888-199710001-00027 | DOI Listing |
Australian Football (AF) is a fast-paced contact invasion sport that requires players to execute a variety of kicks to effectively pass the football and score a goal. Current assessment of elite senior kicking skills in AF is confined to isolated and static skill tests that do not adequately represent match-like skill demands. The purpose of this study is to overcome the test design issues currently present in elite senior testing protocols, within the applied setting, and assess the validity and reliability of a modified Level-3 Australian football field-based dynamic kicking assessment (AFFB-DKA) for senior elite AF players.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Health Care Management, School of Information and Management, Guangxi Medical University, Nanning, Guangxi, China.
Background: The aging population presents a significant public health challenge, particularly concerning mental health and injury prevention. Anxiety and depression are common among the older adult, affecting their quality of life and increasing the risk of unintentional injuries (UI). This study aims to explore the association between anxiety and depression and UI risk among the older adult in Guangxi, China, using data from the 2023 National Health Service Survey.
View Article and Find Full Text PDFInt J Clin Health Psychol
January 2025
Département de Psychologie, Université de Montréal, Montréal, Canada.
The Sexual Abuse History Questionnaire (SAHQ), a widely used screening tool for childhood sexual abuse (CSA) and adolescent/adult sexual assault (AASA) experiences, has limited examination of its psychometric properties in diverse populations. Our study assessed the SAHQ's psychometric properties (i.e.
View Article and Find Full Text PDFCureus
December 2024
Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, IRN.
Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.
View Article and Find Full Text PDFCureus
December 2024
Department of Family and Community Medicine, Arabian Gulf University, Manama, BHR.
Introduction: Mumps is a vaccine-preventable disease caused by the paramyxovirus affecting the salivary gland and may be complicated by orchitis, oophoritis, and encephalitis. This study aims to describe the epidemiology, clinical presentation, and transmission of mumps cases in the Kingdom of Bahrain between 2012 and 2022.
Methodology: A retrospective cross-sectional study was conducted using national surveillance data of confirmed mumps cases, including all age groups and both Bahraini and non-Bahraini nationals, from January 2012 to December 2022.
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