Evidence map›Paper›PMID 39395878›Full record

ArticleJournal of voice : official journal of the Voice Foundation2024

Personality Traits and Self-Reported Vocal Fatigue and Other Voice Measures Among Teachers.

Lynn Maxfield, Darla Lowe, Lady Catherine Cantor-Cutiva, Eric J Hunter

Abstract read
In one paragraph

Article in Journal of voice : official journal of the Voice Foundation, 2024. 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

What it found

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2 · The registry

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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.

Lynn MaxfieldUtah Center for Vocology, University of Utah, Salt Lake City, Utah, USA. Electronic address: Lynn.Maxfield@utah.edu.
Darla LoweUtah Center for Vocology, University of Utah, Salt Lake City, Utah, USA.
Lady Catherine Cantor-CutivaDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City, Iowa, USA.
Eric J HunterDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City, Iowa, USA.

Funding

Protecting Teachers’ Voices: Investigating Risk Factors, Conducting Cost AnalysisR01DC012315 · NIDCD · UNIVERSITY OF UTAH · PI HUNTER, ERIC J · 2013 to 2025
$5.5M
NIDCD NIH HHS R01 DC012315
6 · The paper itself

Abstract

backgroundPrevious research has examined the correlation between certain personality traits and specific voice disorders. These studies indicated that a predictive relationship exists between an individual's personality and their likelihood of experiencing certain types of voice disorders. The personality type classified as "extravert" was most commonly correlated with voice problems associated with high vocal use such as inflammation or nodules.

aimThe purpose of this study was to determine if a relationship exists between self-reported vocal fatigue, demographic characteristics, such as assigned sex at birth and age, perception of current voice condition, aerodynamic measures, and voice acoustic parameters with any of the five personality traits measured by the Big Five Personality Index: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. We hypothesized that vocal fatigue scores and spirometry measurements may be good predictors of specific personality traits, and therefore, can be useful measures to complement vocal assessment.

methodsParticipants in this cross-sectional correlational study included 73 full-time elementary and middle school teachers. Participants completed the Vocal Fatigue Index (VFI) and the Big Five Inventory (BFI)-10 personality index; further, microphone recordings were collected from a battery of voice tasks in addition to spirometry. Descriptive analyzes of the dependent variables (BFI personality traits) and independent variables (demographics, acoustics, spirometry, and VFI total score) were performed, calculating frequency values. Kruskal-Wallis tests were conducted to evaluate independent variables' differences across the scores of the five BFI personality traits. The association between the independent and dependent variables was then investigated using a Generalized Estimating Equations multinomial logit model. The level of significance was defined at 0.05, and the associations are expressed as betas and standard error. RESULTS AND

conclusionThe results suggest that high scores for the traits of extraversion and agreeableness were both predicted by lower scores on the VFI (P ≤ 0.05), indicating that individuals with lower perception of vocal fatigue may be more likely to be identified as extraverted and/or agreeable personalities. These results support previous study's conclusion as well as add additional insights that could be translated into screening protocols and additional supportive care of occupational voice users.

Indexed as

Voice markers—Personality traits—Acoustic parameters—Voice assessment—Screening— Teachers

Identifiers

PMID39395878
PMCPMC11985542

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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.