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Association of smartphone overuse and neck pain: a systematic review and meta-analysis.
Postgrad Med J
January 2025
Department of Orthopedics, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan.
Background: Smartphone overuse is associated with both psychological and physical health problems, including depression and musculoskeletal disorders. However, the association between smartphone overuse and neck pain remains unclear. We performed a meta-analysis to examine the relation between smartphone overuse and neck pain, and to identify high-risk usage patterns.
View Article and Find Full Text PDFMachine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the convenient and non-invasive nature of data acquisition. Our group has successfully developed a novel approach that uses convolutional neural network with transfer learning to analyze spectrogram images of the sustained vowel /a/ to identify people with Parkinson's disease.
View Article and Find Full Text PDFDevelopment and validation of the Italian digit-in-noise test.
Acta Otorhinolaryngol Ital
December 2024
Unit of Audiology, Regional Centre of Cochlear Implants and ENT Diseases, Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
Objectives: This research aims to validate the digits-in-noise (DIN) test for the Italian language and develop a version capable of independently assessing both ears while maintaining acceptable administration times.
Methods: Individual digits from 0 to 9 in Italian were recorded and adjusted to equalise recognition probabilities. An iOS application (APP) was developed for the independent ear test using triplets in noise.
Promoting Physical Activity in People With Parkinson's Disease Through a Smartphone App: A Pilot Study.
J Neurol Phys Ther
January 2025
Center of Expertise for Parkinson & Movement Disorders, Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Gelderland, the Netherlands (S.S., N.M.V., S.K.L.D., B.R.B.); Harvard Medical School, Boston, Massachusetts (A.A., M.A.S., E.A.M.); Departments of Epidemiology and Nutrition, T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts (A.A.); Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts (M.A.S., E.A.M.); Mass General Institute for Neurodegenerative Disease, Massachusetts General Hospital, Boston, Massachusetts (M.A.S.); and Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts (E.A.M.).
Background And Purpose: Physical activity has beneficial symptomatic effects for people with Parkinson's disease (PD), but increasing-and sustaining-a physically active lifestyle remains challenging. We investigated the feasibility (ability to increase step counts) and usability of a behavioral intervention using a motivational smartphone application to remotely increase physical activity in PD.
Methods: We performed a 4-week, double-blind pilot trial.
A qualitative study assessing acceptability and appropriateness of a technology-assisted mental health intervention by community frontline workers: mPareshan implementation research in rural Pakistan.
BMC Psychiatry
January 2025
Brain and Mind Institute, Aga Khan University, Stadium Road, Karachi, 74800, Pakistan.
Background: With a shortage of mental health specialists and a significant rural population in Pakistan, leveraging community-based healthcare workers becomes crucial to address mental health needs. Equipping the healthcare workers with digital tools such as mobile applications have the potential to increase access to mental health support in low-resource areas. This study examines the acceptability, appropriateness, barriers, and facilitators to implementing a technology-assisted mental health intervention (mPareshan) delivered by Lady Health Workers (LHWs) in rural Pakistan.
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