Purpose: To assess the effectiveness of voice disorder prevention programs and to verify the effectiveness of direct and indirect voice training on the Voice Handicap Index (VHI), Voice-Related Quality of Life (V-RQOL), maximum phonation time (MPT), fundamental frequency and shimmer, for the prevention of voice disorders in regular-school teachers.
Methods: This is a literature review with meta-analysis, carried out through an electronic search in PubMed, Cochrane Central, Embase, Web of Science, Scopus and BVS, and Google Scholar, as well as ClinicalTrials.gov databases for gray literature.
Selection Criteria: Randomized clinical trials and quasi-experimental studies were selected. The population consisted of regular schoolteachers, adults, with no vocal complaints submitted to a vocal health education and prevention program of voice disorders classified as direct (direct vocal tract training) and indirect (vocal hygiene guidelines that influence voice production). The outcomes vocal self-assessment: fundamental frequency, aerodynamic measurements (maximum phonation time), acoustic measures (shimmer) was analyzed in comparison with other vocal interventions or no vocal intervention.
Data Analysis: Studies were independently assessed using the Cochrane Risk of bias and ROBINS-I tools. Effect sizes were calculated only at post-treatment. GRADE criteria were used to assess the quality of evidence.
Results: Twenty-six studies were included but, only 12 studies were included in the meta-analysis and investigated for direct and/or indirect intervention compared to no intervention. No studies were judged to be at low risk of bias, and the quality of evidence was considered high only for the Voice Handicap Index. No evidence was found that suggested effectiveness of direct and indirect voice training for any of the outcomes: VHI -1.87 (95% CI -7.03, 3.30), maximum phonation time -1.11 (95% CI -3.40, 1.17), fundamental frequency 0.87 (-1.06, 2.79) and shimmer 0, 28 (-1.50, 2.05).
Conclusion: Results of this study were not considered significant to conclude on the effectiveness of voice training for preventing dysphonia in teachers.
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http://dx.doi.org/10.1016/j.jvoice.2022.09.017 | DOI Listing |
Rural Remote Health
January 2025
Rural Clinical School Western Australia, University of Western Australia, UWA Science Building, Albany, WA 6330, Australia.
Introduction: The geographic, cultural, social and economic milieu that impacts mental health in rural communities globally has been well documented. However, few studies have addressed how rural ecosystems impact specifically upon the mental health and wellbeing of young people. Furthermore, the limited explorations of factors contributing to poorer mental health outcomes in rural youth have primarily included adult voices.
View Article and Find Full Text PDFNpj Health Syst
December 2024
Center for Interventional Oncology, Clinical Center, National Institutes of Health (NIH), Bethesda, MD USA.
Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors that could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient data. Ethical concerns surrounding clinical AI systems for social behavior verification can be divided into two main categories: (1) the potential for inaccuracies/biases within such systems, and (2) the impact on trust in patient-provider relationships with the introduction of automated AI systems for "fact-checking", particularly in cases where the data/models may contradict the patient.
View Article and Find Full Text PDFJ Voice
January 2025
Department of Communication Sciences and Disorders, The University of Iowa, Iowa City, IA.
Introduction: Laryngeal muscle physiology is integral to many speech, voice, swallowing, and respiratory functions. A key determinant of a muscle's contractile properties, including its fatigue profile and capacity for force production, is the myosin heavy chain (MyHC) isoform that predominates in the muscle. This study surveys literature on the MyHC compositions of mammalian intrinsic laryngeal skeletal muscle to illustrate trends and gaps in laryngeal muscle fiber typing techniques, models, and concepts.
View Article and Find Full Text PDFJ Voice
January 2025
School of Behavioral and Brain Sciences, Department of Speech, Language, and Hearing, Callier Center for Communication Disorders, University of Texas at Dallas, Richardson, TX; Department of Otolaryngology - Head and Neck Surgery, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address:
Introduction: Patients with primary muscle tension dysphonia (pMTD) commonly report symptoms of vocal effort, fatigue, discomfort, odynophonia, and aberrant vocal quality (eg, vocal strain, hoarseness). However, voice symptoms most salient to pMTD have not been identified. Furthermore, how standard vocal fatigue and vocal tract discomfort indices that capture persistent symptoms-like the Vocal Fatigue Index (VFI) and Vocal Tract Discomfort Scale (VTDS)-relate to acute symptoms experienced at the time of the voice evaluation is unclear.
View Article and Find Full Text PDFJ Voice
January 2025
Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany.
Objectives: This study investigates the use of sustained phonations recorded during high-speed videoendoscopy (HSV) for machine learning-based assessment of hoarseness severity (H). The performance of this approach is compared with conventional recordings obtained during voice therapy to evaluate key differences and limitations of HSV-derived acoustic recordings.
Methods: A database of 617 voice recordings with a duration of 250 ms was gathered during HSV examination (HS).
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