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Study Design: Observational cross-sectional study.
Objective: The aim of this study was to investigate the association between text neck and neck pain (NP) in adults.
Summary Of Background Data: It has been hypothesized that the inappropriate neck posture adopted when texting and reading on a smartphone, called text neck, is related to the increased prevalence of NP.
Methods: The sample was composed of 582 volunteers aged between 18 and 65 years. Sociodemographics, anthropometrics, lifestyle, psychosocial, NP, and smartphone use-related questions were assessed by a self-reported questionnaire. Text neck was assessed by measuring the cervical flexion angle of the participants standing and sitting while typing a text on their smartphones, using the Cervical Range of Motion (CROM) device.
Results: Multiple logistic regression analysis and linear regression analysis showed the cervical flexion angle of the standing participant using a smartphone did not associate with the prevalence of NP (odds ratio [OR] = 1.00; 95% confidence interval [CI]: 0.98-1.02; P = 0.66), NP frequency (OR = 1.01; 95% CI: 1.00-1.03; P = 0.056), or maximum NP intensity (beta coefficient = -5.195 × 10-5; 95% CI: -0.02 to 0.02; P = 0.99). Also, the cervical flexion angle of the sitting participant using the smartphone did not associate with NP (OR = 0.99; 95% CI: 0.98-1.01; P = 0.93), NP frequency (OR = 1.01; 95% CI: 0.99-1.02; P = 0.13), or maximum NP intensity (beta coefficient = 0.002; 95% CI: -0.002 to 0.02; P = 0.71).
Conclusion: Text neck was not associated with prevalence of NP, NP frequency, or maximum NP intensity in adults.Level of Evidence: 4.
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http://dx.doi.org/10.1097/BRS.0000000000003854 | DOI Listing |
Auris Nasus Larynx
September 2025
Objective: To systematically evaluate the diagnostic accuracy, educational utility, and communication potential of generative AI, particularly Large Language Models (LLMs) such as ChatGPT, in otolaryngology.
Data Sources: A comprehensive search of PubMed, Embase, Scopus, Web of Science, and IEEE Xplore identified English-language peer-reviewed studies from January 2022 to March 2025.
Review Methods: Eligible studies evaluated text-based generative AI models used in otolaryngology.
Eur Arch Otorhinolaryngol
August 2025
State Key Laboratory of Military Stomatology, Shaanxi Clinical Research Center for Oral Diseases, Department of Clinical Laboratory, School of Stomatology, National Clinical Research Center for Oral Diseases, The Fourth Military Medical University, Xian, Shaanxi, 710045, China.
Background: Head and neck cancer ranks as the sixth most common malignant tumor globally, with the majority of patients detected at advanced stages. Consequently, this study assessed the clinical diagnostic efficiency of exosomal microRNAs (miRNAs) for head and neck malignancies by meta-analysis.
Methods: The pertinent literature about exosomal miRNAs for the diagnosis of head and neck cancer was retrieved from the Chinese full-text journal database, Wanfang database, Wipu database, and the databases of PubMed, Embase, and Web of Science, spanning from the inception of the databases to April 30, 2024.
Braz J Phys Ther
August 2025
Postgraduate Program in Rehabilitation Sciences, Centro Universitário Augusto Motta (UNISUAM), Rio de Janeiro-RJ, Brazil; School of Rehabilitation Science, Faculty of Health Sciences, Institute for Applied Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Background: There is a lack of longitudinal studies investigating the association between cervical flexion posture during smartphone use (commonly referred to as text neck [TN]) and neck pain (NP).
Objective: To investigate whether TN is a risk factor for NP, considering the influence of lifestyle and psychosocial factors.
Methods: A 12-month longitudinal study.
Diagnostics (Basel)
August 2025
Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.
: Generative AI (GenAI) models like ChatGPT have gained significant attention in recent years for their potential applications in healthcare. This study evaluates the concordance of responses generated by ChatGPT (versions 3.5 and 4.
View Article and Find Full Text PDFInt J Lang Commun Disord
August 2025
Faculty of Health Sciences, School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada.
Background: Dysphagia (swallowing impairment) can lead to malnutrition, dehydration, aspiration pneumonia, social isolation and even death. Current interventions for dysphagia include rehabilitation that improves swallowing physiology and function. Physical exercise is known to directly benefit skeletal muscles and may also benefit non-targeted skeletal muscles involved in swallowing, as these muscles are often engaged during vigorous exercise.
View Article and Find Full Text PDF