Vocal Quality, Symptoms, and Habits in Musical Theater Actors

D’haeseleer, Evelien; Quintyn, Fien; Kissel, Imke; Papeleu, Tine; Meerschman, Iris; Claeys, Sofie; Lierde, Kristiane Van

doi:10.1016/j.jvoice.2020.05.019

Cited by 6 publications

(6 citation statements)

References 32 publications

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“…53,54 Those involved in musical theater were more than twice as likely to report a voice problem, likely reflecting the high physical demands of concurrent acting, singing, and dance. 55 Similarly, adolescents with chronic problems were twice as likely to sing rock music as those with acute problems, suggesting that genre of singing may be associated with vocal behaviors and risk for laryngeal pathology. [56][57][58] Future research may determine what vocal biomechanics underlie this finding and whether these relationships are causal.…”

Section: Discussionmentioning

confidence: 99%

Voice Disorder Prevalence and Vocal Health Characteristics in Adolescents

Fujiki,

Thibeault

2024

JAMA Otolaryngol Head Neck Surg

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ImportanceVoice disorders impede communication and detract from quality of life, yet little is known about how voice problems present in adolescents. This study characterized the prevalence of voice problems and vocal health characteristics of adolescents throughout the US.ObjectiveTo determine the prevalence of adolescent voice problems in the US as well as the symptoms, voice use patterns, and risk factors associated with these problems.Design, Setting, and ParticipantsThis prospectively performed, cross-sectional survey study conducted from March to June 2023 included a probability sample of adolescents (aged 13-17 years) who were located across the US.Main Outcome and MeasuresAdolescents were surveyed concerning voice use, voice symptoms, demographic information, and substance use patterns. The Vocal Fatigue Index (VFI) was also completed. Fisher exact tests, χ2 tests, and logistic regression were used to compare those with and without reported voice problems.ResultsFive-hundred and two adolescents participated (51.6% participation rate), including 248 female (49.4%), 7 nonbinary (1.3%), 254 male (50.6%), 4 transfemale (0.7%), and 3 transmale individuals (0.5%) (mean [SD] age, 15.2 [1.3] years). The lifetime prevalence of voice problems was 24.3%, and current prevalence was 7.4%. Voice-related diagnoses included dysphonia associated with acute illness, vocal hyperfunction, benign lesions, and muscle tension. The mean (SD) VFI score was 4.7 (8.09) for part 1, 1.6 (3.2) for part 2, and 2.1 (3.2) for part 3. Adolescents with voice complaints presented with significantly higher VFI scores than those without voice problems (Cohen d for part 1 = 0.78, part 2 = 0.59, and part 3 = 0.79). Voice problems interfered with daily tasks, prevented participation in extracurricular activities, limited the ability to sing, and were associated with school absences. Voice use patterns associated with voice problems included frequent loud voice use, coughing, and/or throat clearing. Risk factors for increased voice problem prevalence included part-time employment in childcare (odds ratio [OR], 6.4; 95% CI, 1.6-26.3), singing (OR, 2.08; 95% CI, 1.3-3.1), performance-related extracurricular activities (ie, musical theater [OR, 2.67; 95% CI, 1.1-6.6 ], karaoke [OR, 3.08; 95% CI, 1.3-6.9]), vaping (OR, 1.99; 95% CI, 1.1-3.5), and/or secondhand smoke exposure (OR, 1.83; 95% CI, 1.2-2.7). Adolescents identifying as transgender were more than 4 times (OR, 4.44; 95% CI, 0.63-31.2) as likely to report voice problems compared with cisgender adolescents.ConclusionsThe results of this survey study illuminate the nature of voice problems in adolescents and may guide clinicians in preventing and treating voice disorders in this population. Future work may define the mechanisms through which these factors are associated with the risk for voice disorders in adolescents and determine whether observed relationships are causal or associative.

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Section: Discussionmentioning

confidence: 99%

Voice Disorder Prevalence and Vocal Health Characteristics in Adolescents

Fujiki,

Thibeault

2024

JAMA Otolaryngol Head Neck Surg

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“…In both groups, the fundamental frequency rose. Dheleeser et al [50] conducted a study on musical theater actors who had comparably good objective voice measurements (DSI, AVQI). There has been an upsurge in the number of VTDs and complaints about the singing voice.…”

Section: Measurement Of the Effects Of Vocal Fatigue And Related Impa...mentioning

confidence: 99%

Pareto-Optimized AVQI Assessment of Dysphonia: A Clinical Trial Using Various Smartphones

et al. 2023

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Multiparametric indices offer a more comprehensive approach to voice quality assessment by taking into account multiple acoustic parameters. Artificial intelligence technology can be utilized in healthcare to evaluate data and optimize decision-making processes. Mobile devices provide new opportunities for remote speech monitoring, allowing the use of basic mobile devices as screening tools for the early identification and treatment of voice disorders. However, it is necessary to demonstrate equivalence between mobile device signals and gold standard microphone preamplifiers. Despite the increased use and availability of technology, there is still a lack of understanding of the impact of physiological, speech/language, and cultural factors on voice assessment. Challenges to research include accounting for organic speech-related covariables, such as differences in conversing voice sound pressure level (SPL) and fundamental frequency (f0), recognizing the link between sensory and experimental acoustic outcomes, and obtaining a large dataset to understand regular variation between and within voice-disordered individuals. Our study investigated the use of cellphones to estimate the Acoustic Voice Quality Index (AVQI) in a typical clinical setting using a Pareto-optimized approach in the signal processing path. We found that there was a strong correlation between AVQI results obtained from different smartphones and a studio microphone, with no significant differences in mean AVQI scores between different smartphones. The diagnostic accuracy of different smartphones was comparable to that of a professional microphone, with optimal AVQI cut-off values that can effectively distinguish between normal and pathological voice for each smartphone used in the study. All devices met the proposed 0.8 AUC threshold and demonstrated an acceptable Youden index value.

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“…One of the current approaches to improve the (1,1) GM model is to construct a sequence of background values (1) () Zt from (1) () xt for suitably chosen values of  in the sequence of background values…”

Section: Improvement Of Grey Mining Modelmentioning

confidence: 99%

“…The most charming means of expression in musical theater is the use of music for narrative and characterization, which is reflected in the actors' use of singing techniques to convey the emotions required in the plot as well as the rise and fall of specific songs to the audience so that the audience can gain emotional resonance [1][2][3]. Musical theater is a comprehensive musical and theatrical art, and such an art form itself requires the integration of various artistic elements, one of which is very important is the singing of the actors [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the use of pop singing in musical theater singing based on data analysis

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, we first systematically sorted out the characteristics of pop singing and musical theater singing and explored the generation of emotion and melody application of pop singing in musical theater singing. Then, the gray GM(1,1) model is analyzed, and a gray data mining model based on data analysis is constructed to predict the application of pop singing in combination with the data mining model under data analysis. Finally, the prediction analysis was conducted to use characterization, timbre and style in pop singing, respectively. The results showed that the score of character building was 90, and the errors between the predicted and actual values of timbre and style were between ±0.1 and ±1, respectively, which were within an acceptable range.

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Vocal Quality, Symptoms, and Habits in Musical Theater Actors

Cited by 6 publications

References 32 publications

Voice Disorder Prevalence and Vocal Health Characteristics in Adolescents

Voice Disorder Prevalence and Vocal Health Characteristics in Adolescents

Pareto-Optimized AVQI Assessment of Dysphonia: A Clinical Trial Using Various Smartphones

Analysis of the use of pop singing in musical theater singing based on data analysis

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