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http://dx.doi.org/10.1007/s00431-024-05633-0 | DOI Listing |
Nurs Open
August 2025
Faculty of Nursing, Department of Public Health Nursing, Ege University, Turkey.
Aim: This study aims to systematically review the real-time prediction of yoga asanas using artificial intelligence (AI) techniques to improve the quality of life in healthy individuals.
Design: Systematic review.
Methods: A comprehensive literature review was conducted in English using the keywords 'yoga', 'asana', 'pose', 'posture', 'machine learning', 'deep learning' and 'prediction' in the Web of Science, Google Scholar, PubMed and Scopus databases.
Soc Sci Med
August 2025
Mental Health and Neuroscience Research Institute, Maastricht University, Maastricht, the Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Objective: Trust in institutions such as the government is lower in the context of mental health problems and socio-economic disadvantage. However, the roles of structural inequality, interpersonal factors, and mental health on institutional trust remain unclear. This study aimed to examine the associations of social and mental health factors, from early life to adulthood, with institutional trust.
View Article and Find Full Text PDFJMIR Aging
March 2025
Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Background: The rapid advancement of technology has made mobile health (mHealth) a promising tool to mitigate health problems, particularly among older adults. Despite the numerous benefits of mHealth, assessing individual acceptance is required to address the specific needs of older people and promote their intention to use mHealth.
Objective: This study aims to adapt and validate the senior technology acceptance model (STAM) questionnaire for assessing mHealth acceptance in the Thai context.
Clin Orthop Surg
February 2025
Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Background: A 24-item early-onset scoliosis questionnaire (EOSQ-24) has been developed as a valid tool for assessing the physical and emotional function of patients with early-onset scoliosis (EOS). Previous studies that conducted transcultural adaptation of the original EOSQ-24 into other languages have demonstrated the high reliability of the questionnaire. However, a Korean version of the EOSQ-24 is not available, limiting optimal patient assessment in this nation.
View Article and Find Full Text PDF