Evidence map›Paper›PMID 42257691›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2026

The Effect of Phonotrauma Severity on the Discriminative Power of Different Ambulatory Voice Measures.

Hamzeh Ghasemzadeh, Daryush D Mehta, Jarrad H Van Stan, Robert E Hillman

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hamzeh GhasemzadehVoice & Speech Informatics Lab, School of Communication Sciences and Disorders, College of Health Professions and Sciences, University of Central Florida, Orlando.ORCID 0000-0001-5395-1908
Daryush D MehtaCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston.ORCID 0000-0002-6535-573X
Jarrad H Van StanCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston.ORCID 0000-0001-8932-3276
Robert E HillmanCenter for Laryngeal Surgery and Voice Rehabilitation, Massachusetts General Hospital, Boston.ORCID 0000-0002-7374-994X

Funding

Use of ambulatory biofeedback to improve behavioral treatment of vocal hyperfunctionP50DC015446 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Robert E Hillman · 2017 to 2026
$25.5M
Ambulatory monitoring of vocal function to improve voice disorder assessmentR33DC011588 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HILLMAN, ROBERT E · 2012 to 2015
$2.3M
Objective assessment of vocal fatigue in laboratory and real-world settingsR00DC021235 · NIDCD · UNIVERSITY OF CENTRAL FLORIDA · PI Hamzeh Ghasemzadeh · 2026 to 2026
$249k
NIDCD NIH HHS P50 DC015446NIDCD NIH HHS R00 DC021235NIDCD NIH HHS R33 DC011588
6 · The paper itself

Abstract

objectivePhonotraumatic vocal hyperfunction (PVH) involves a "vicious cycle" where individuals compensate for pathology to sustain functional voice, but those compensations can exacerbate the phonotrauma. Within this framework, compensation increases with severity. We used a cross-sectional design to quantify severity effects on ambulatory voice measures such that severity-linked patterns have the potential to distinguish etiology from compensation in daily voice use.

methodThree laryngologists rated phonotrauma severity from still videostroboscopic images of 142 females with PVH (66 mild, 64 moderate, 12 severe). Daily vocal function and behavior were monitored for approximately 1 week in all patients and in 136 vocally healthy matched controls. Machine learning quantified the discriminative power of six ambulatory voice measures (difference between the magnitude of the first two harmonic magnitudes [H1-H2], sound pressure level [SPL], fundamental frequency [

resultsIn the mild group, only H1-H2, SPL, and resting duration differentiated patients from controls. In the moderate-severe group, all measures except CPP were discriminative. H1-H2 showed the strongest severity dependence, with substantially higher discriminative power in the moderate-severe group, whereas SPL and resting duration performed similarly across severities. Composite models achieved average accuracies of 75.1% (mild), 79.9% (moderate), and 91.5% (severe).

conclusionsMore severe phonotrauma was associated with increasingly atypical H1-H2 profiles reflecting more abrupt vocal fold closure, consistent with stronger compensatory patterns. In contrast, louder phonation and shorter vocal rests differentiated patients from controls regardless of severity, suggesting etiological contributions. These findings support treatment approaches that target both components: addressing loudness and rest patterns to modify etiologic tendencies, while simultaneously reducing abrupt vocal fold closure to address compensation. This dual focus may enhance prevention, intervention, and long-term outcomes for individuals with PVH.

Indexed as

VoiceVoice DisordersAdultCase-Control StudiesCross-Sectional StudiesFemaleHumansMachine LearningMiddle AgedSeverity of Illness IndexVoice Quality

Identifiers

PMID42257691
PMCPMC13371709

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.