Prevalence of and Risk Factors for Self-Reported Voice Problems Among Carnatic Singers

Devadas, Usha; Kumar, Pooja Chandgal; Maruthy, Santosh

doi:10.1016/j.jvoice.2018.09.013

Cited by 27 publications

(4 citation statements)

References 39 publications

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“…[8–10] These studies have reported that occupation, gender, the misuse and abuse of voice, excessive smoking and drinking, caffeine, noise environment, gastric acid reflux, external wound in the tunica mucosa laryngis, and upper airway infection are the major health risk factors of laryngeal disorders. [11–15] Among them, some lifestyle factors such as smoking and drinking can be changed. Therefore, it is possible to prevent laryngeal disorders or delay the deterioration of symptoms by altering the lifestyle of an individual.…”

Section: Introductionmentioning

confidence: 99%

A laryngeal disorders prediction model based on cluster analysis and regression analysis

Byeon

2019

Medicine

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This study provided the baseline for establishing policies for community health promotion programs to propose the clusters of multiple health risk factors and identify the risks of laryngeal disorders according to the clusters by using the national level survey representing the South Korean population. This study targeted 5941 people who completed the 5th Korean National Health and Nutrition Examination Survey. The independent variables were age, sex, smoking, high-risk drinking, education level, occupation, household income, and self-reported voice problems. The identify cluster relationship with laryngeal disorders by conducting 2-way cluster analysis and multinomial logit analysis. The prevalence of laryngeal disorder was 6.7%. The results of analysis, 3 clusters were automatically extracted. Multinomial logistic regression analysis showed that sociodemographic factors, health risk behaviors, and health status clusters were significantly related to the risk of laryngeal disorders. The males who were smoking, high-risk drinking, college graduate and above, high income, and non-manual workers had a higher risk of laryngeal disorders than females who were non-smokers, non-drinkers, 60 years old and older, economically inactive, and high school graduate. The results of this study suggested that it may be effective to classify population according to sociodemographic and health behaviors and develop health education materials and health promotion program accordingly in order to prevent laryngeal disorders.

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Section: Introductionmentioning

confidence: 99%

A laryngeal disorders prediction model based on cluster analysis and regression analysis

Byeon

2019

Medicine

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“…Chinese bel canto singers pointed out that the problems of white voice, tremolo, throat, nasal, and straight voice are the key to the voice problems of bel canto singers; Gunjawate et al [2], through statistical research, analyze the influence of the popular folk arts in Karnataka, India, including singing and dancing, on the health of the voice. It is preliminarily concluded that both innate and acquired voice problems will affect the voice health of singers emotionally; Devadas et al [3] explored the relationship between voice problems and different health problems such as dental problems, frequent colds, hearing difficulties, occupational nature, and regular medication in the study of Western opera singing methods; in Baird et al [4], acoustic and laryngoscopic evaluation of voice health care in a cappella choirs in colleges and universities shows that there is little difference between professional and nonprofessional singers in voice health care, but there are differences in access to health-related information, resulting in certain differences; Arunachalam et al [5] evaluated the voice problems caused by the training of a classical music style. Through research, they found that voice change, high pitch difficulty, voice fatigue, pharyngitis, muscle tension, dysphonia, chronic pharyngitis, and so on are the key to voice problems; Tepe et al [6] investigated the voice problems of chorus singers by questionnaire and found that the key factors causing chorus voice problems are morning hoarseness, chronic fatigue, insomnia, emotional tension, adolescent girls' physiological period, and so on; Flavia et al [7] established a 20-item singer's singing ability assessment scale, which includes the singer's background, education, work experience, professional direction, etc.…”

Section: Research Status Of Voice Health Care In Professional Vocal M...mentioning

confidence: 99%

Research on the Fusion Model of Professional Vocal Music Performance Voice Care and Artificial Intelligence Technology in Intelligent Medical Treatment

Qin

Lin

2022

Wireless Communications and Mobile Computing

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Intelligent medical treatment is an important research field in today’s world. Artificial intelligence technology is the key factor to construct intelligent medical treatment. In the development of artificial intelligence technology, it is necessary to establish a scientific, systematic, and comprehensive system analysis model, inevitably with certain professional characteristics. At present, in the research of vocal health care in professional vocal music performance, the application of intelligent medical care and vocal health care in professional vocal music performance is studied. According to the DEMATEL-ISM research method, this paper constructs 4 internal and external factors and 16 influencing factors to build a comprehensive and systematic weight analysis model, which provides a theoretical and practical basis for the scientific construction of AI technology algorithms. The aim is to improve the value and research significance of intelligent medical artificial intelligence technology in professional vocal music performance sound care.

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“…The risk factors for voice disorders among Carnatic singers were as follows: clenching of teeth; frequent colds; difficulty hearing; stress related to the profession; and regular intake of medications [9]. Among Yakshagana performers, a form of folk theater in India, only frequent throat clearing (OR 6.2 [95% CI 1.6; 23.7]) was found to be a significant risk factor associated with a higher prevalence of self-reported voice problems [10].…”

Section: Introduction 1singing and Riskmentioning

confidence: 99%

Risk Factors for Voice Disorders among Fado Singers: A Cross-Sectional Study

Pestana

Freitas

Manso

2023

OHBM

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Fado is an urban Portuguese musical style rooted in popular culture. Previously found data suggests that Fado singers may have an increased risk of developing voice disorders. (1) Aim: To determine the risk factors for the development of voice disorders among Fado singers. (2) Methods: A cross-sectional study was conducted through the administration of a questionnaire containing questions related to voice disorders in singers. The relationship between personal and social data, musical background, performance demands and habits, vocal health and wellbeing, and strategies to overcome voice problems are reported. Beyond a comprehensive characterization, odds ratios (ORs) and their 95% confidence intervals (CIs) for the association with voice disorders were calculated through univariate and multivariate logistic regression analyses. (3) Results: The significant risk factors for voice disorders were as follows in decreasing order: nose-related disorders; decongestants or antihistamines; oral contraceptives or hormone replacement therapy; previous smoking habits; and vocal fatigue after performances. (4) Conclusion: These activities significantly increased the risk of developing voice disorders. The evidence from this study and the relative low prevalence of self-reported voice disorders suggest that these singers may develop a kind of protective combination of factors beyond the scope of this research.

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Prevalence of and Risk Factors for Self-Reported Voice Problems Among Carnatic Singers

Cited by 27 publications

References 39 publications

A laryngeal disorders prediction model based on cluster analysis and regression analysis

A laryngeal disorders prediction model based on cluster analysis and regression analysis

Research on the Fusion Model of Professional Vocal Music Performance Voice Care and Artificial Intelligence Technology in Intelligent Medical Treatment

Risk Factors for Voice Disorders among Fado Singers: A Cross-Sectional Study

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