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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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Who Benefits Most From Voice Use Reduction? Baseline Predictors Of Vocal Fatigue Improvement In Occupational Voice

Rouxjeanne Vermeulen1, Maria du Toit2, Marien Alet Graham3

  • 1Department of Speech-Language Pathology, United Arab Emirates University, 15551 Al Ain, United Arab Emirates.

Journal of Voice : Official Journal of the Voice Foundation
|July 14, 2026
PubMed
Summary

Occupational voice users with lower baseline vocal load and fatigue severity experience better outcomes after voice use reduction (VUR) programs. Understanding these predictors helps tailor interventions for vocal fatigue management.

Keywords:
Occupational voice usersVocal Fatigue IndexVocal fatigueVocal loadVoice use reduction

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Area of Science:

  • Occupational health
  • Speech-language pathology
  • Voice science

Background:

  • Occupational voice users face high vocal fatigue risk.
  • Voice Use Reduction (VUR) programs help manage symptoms.
  • Predictors of VUR success require further investigation.

Purpose of the Study:

  • Identify baseline factors predicting vocal fatigue post-VUR.
  • Analyze predictors in occupational voice users undergoing VUR.

Main Methods:

  • Secondary analysis of 30 occupational voice users in an 8-week VUR program.
  • Vocal fatigue assessed using Vocal Fatigue Index (VFI) Factor 1 pre- and post-intervention.
  • Generalized linear model used to identify predictors of post-intervention VFI Factor 1 scores.

Main Results:

  • The model was statistically significant (χ²(3) = 12.52, P = 0.006).
  • Higher baseline VFI Factor 1 scores predicted greater post-intervention fatigue (B = 0.344, P < 0.001).
  • Moderate voice use predicted lower post-intervention fatigue compared to high voice use (B = -3.508, P = 0.002). GERD status was not significant.

Conclusions:

  • Baseline vocal load and symptom severity predict vocal fatigue after VUR.
  • Lower baseline voice use demands correlate with better outcomes.
  • Tailoring VUR interventions based on vocal load is crucial.