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Background: The overuse of smartphones can cause and trigger painful musculoskeletal conditions due to the derangement of muscle function. This study aimed to investigate the impact of daily smartphone usage on the surface electromyographic activity of the masticatory, sternomastoid, and trapezius muscles as there is limited research in this area.
Materials And Methods: A total of 120 young adult smartphone users were categorized into three groups based on their daily duration of mobile usage. They underwent surface electromyography (sEMG) assessment using the Neuropack X1 surface EMG device from Nihon Kohden. Using appropriate statistical methods, the sEMG parameters were compared and correlated within the three groups.
Results: The study found a significant increase in resting sEMG activity in the right Trapezius muscle among smartphone users who used their devices for more than 7 hours daily, compared to the other user groups (median interquartile range: 0.49 (0.026, 0.161) vs 0.025 (0.014, 0.049)). Furthermore, the maximum voluntary contraction testing revealed significantly higher sEMG activity in the right Temporalis muscle among smartphone users who used their devices for more than 7 hours daily, compared to the other user groups (median interquartile range: 2.342 (0.972, 3.364) vs 1.391 (0.525, 2.732) vs 1.301 (0.482, 2.083)).
Conclusions: The findings suggest that the daily duration of smartphone usage could potentially impact the surface EMG activity of the masticatory, neck, and upper back muscles.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165307 | PMC |
http://dx.doi.org/10.4103/abr.abr_288_24 | DOI Listing |
Int Psychogeriatr
September 2025
Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States. Electronic address:
Background: As demand for mental healthcare access grows among older adult populations, digital mental health tools have emerged as promising tools. However, bridging the digital divide among older technology users remains critical. This post-hoc analysis evaluated potential factors influencing the adoption of a digital mental health tool in older adults.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
College of Nursing, Yonsei University, Seoul, Republic of Korea.
Background: Mobile health (mHealth) interventions can be effective for people living with HIV, who are sensitive to privacy breach risks. Understanding the perceived experiences of intervention participants can provide comprehensive insights into potential users and predict intervention effectiveness. Thus, it is necessary to plan engagement measurement and consider ways to enhance engagement during the app development phase.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
School of Governance and Policy Science, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).
Background: Older adults are more vulnerable to severe consequences caused by seasonal influenza. Although seasonal influenza vaccination (SIV) is effective and free vaccines are available, the SIV uptake rate remained inadequate among people aged 65 years or older in Hong Kong, China. There was a lack of studies evaluating ChatGPT in promoting vaccination uptake among older adults.
View Article and Find Full Text PDFJ Speech Lang Hear Res
September 2025
Department of Clinical Research, University of Southern Denmark, Odense.
Background: Ecological momentary assessment (EMA) combined with acoustic data logging can provide insights into the real-world listening experiences of hearing aid (HA) users. Previous research conducted on individuals with normal hearing has shown that higher sound pressure level (SPL) and lower signal-to-noise ratio (SNR) to be associated with poorer EMA ratings. Furthermore, including listening intent in the analyses revealed higher heart rate to be linked with better EMA ratings during focused listening compared to nonfocused listening.
View Article and Find Full Text PDFJ Foot Ankle Res
September 2025
Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Introduction: We developed a smartphone application capable of automatically measuring the hallux valgus angle (HVA) and various intermetatarsal angles by capturing radiographic images displayed on a monitor. This study aimed to evaluate the accuracy of these measurements using the application.
Methods: Three users-a board-certified orthopedic surgeon, a resident, and a nonhealthcare professional (Users 1, 2, and 3)-independently used the application to measure angles on 92 radiographs from 92 consecutive patients.