Related Experiment Video
Updated: Feb 6, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
Voice Disorders and Impact of Voice Handicap in Norwegian Student Teachers
Karen Greve1, Evie Kjellaas Bryn1, Susanna Simberg2
1Department of Special Needs Education, Faculty of Educational Sciences, University of Oslo, Oslo, Norway.
Objectives:
The primary objectives of the present study were to determine the prevalence of voice disorders in students studying to become elementary school teachers and to investigate the presence of potential risk factors for voice disorders. The amount of voice training offered during the students' education and the connection between voice disorders were also explored.
Method:
A web-based questionnaire was distributed to all elementary school student teachers throughout Norway. In total, 968 answers were received. The questionnaire consisted of questions on background, education, and risk factors; the Norwegian translation of the Voice Handicap Index (VHI-30(N)); and voice symptoms (Screen6).
Results:
The results showed that 14.1% of the students had voice disorders, defined as experiencing two or more voice symptoms weekly or more often in Screen6. The most common symptoms were throat clearing, followed by strained or tired voice and sensation of pain or lump in the throat. The data showed a significant association between the scores of VHI-30(N) and results of Screen6. The amount of voice training within teacher education was not found to significantly reduce voice disorders. Results showed no significant differences in prevalence of voice disorders between female and male students.
Conclusions:
According to the answers given by the students participating in this study, voice problems appear to be common in student teachers. As they are to embark on a voice-demanding occupation, regular screening is paramount. More voice training is needed than offered in their education.
More Related Videos
09:09Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Related Concept Videos
Self-Presentation: Self-Monitoring and Self-Handicapping
Student t Distribution
The Student t distribution was developed by William S. Goset (1876–1937) of the...
Microsoft Excel: Student's t-Test
To conduct a t-test in Excel, use the T.TEST function or the "Data...
Comparing Experimental Results: Student's t-Test
Impact of Groups on Groups
Intrinsically Disordered Proteins