2021
DOI: 10.1007/s00420-021-01681-3
|View full text |Cite
|
Sign up to set email alerts
|

Which teachers are most at risk for voice disorders? Individual factors predicting vocal acoustic parameters monitored in situ during a workweek

Abstract: Purpose: To identify the factors affecting teachers' vocal acoustic parameters, with the aim of detecting individuals at risk of phonotrauma. Method:The voicing time, voice sound pressure level [SPL] and fundamental frequency [fo] of 87 teachers were measured during one workweek using a voice dosimeter. We retrospectively investigated the impact of 10 factors (gender, age, teaching experience, teaching level, tobacco, gastro-esophageal problems, nonoccupational voice activity, voice education, past voice prob… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
7
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(9 citation statements)
references
References 58 publications
1
7
0
1
Order By: Relevance
“…When using random matrices for processing and analysis, anomalies in the data can have a relatively large impact on the analysis of the results and produce erroneous results. Such anomalies adversely affect our analysis results and can produce relatively large errors in our classification accuracy, so it is necessary to clean and remove such anomalous data [23]. In the experiments and studies in this paper, kurtosis values are extracted to clean the data that may have anomalies.…”
Section: Random Matrix Model Performance Testmentioning
confidence: 99%
“…When using random matrices for processing and analysis, anomalies in the data can have a relatively large impact on the analysis of the results and produce erroneous results. Such anomalies adversely affect our analysis results and can produce relatively large errors in our classification accuracy, so it is necessary to clean and remove such anomalous data [23]. In the experiments and studies in this paper, kurtosis values are extracted to clean the data that may have anomalies.…”
Section: Random Matrix Model Performance Testmentioning
confidence: 99%
“…bruit ambiant élevé), tantôt d'ordre personnel (ex. risque accru chez les femmes) (Cantor Cutiva et al, 2013 ;Remacle, Lefèvre, 2021).…”
Section: Resumunclassified
“…Its score ranges from 0 to 48. A score of 0-7 designates a normal voice whereas a score of 8-48 shows a voice which is slightly (scores 8-14), moderately (scores [15][16][17][18][19][20][21][22], or profoundly disordered (scores…”
Section: Design Of the Questionnairementioning
confidence: 99%
“…Significant voice disorder risk factors that were identified included daily teaching hours, classroom humidity, certain types of voice usage during teaching such as falsetto voice, speaking more than other teachers, throat clearing, etc. Remacle and Lefèvre [15] pinpointed the factors influencing vocal acoustic parameters (e.g., fundamental frequency) in kindergarten, elementary school, secondary school, and university teachers in order to assess the group of teachers who are more at risk of voice disorders. The results revealed that factors such as sex, teaching level, and nonoccupational voice activity affected fundamental frequency.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation