Research article

How does noise pollution exposure affect vocal behavior? A systematic review

  • Received: 22 February 2021 Accepted: 19 April 2021 Published: 28 April 2021
  • Background

    Various types of pollution, like atmospheric, water, soil, noise, have been reported as voice risk factors and exposure can result in vocal problems. Particularly, environmental noise causes the Lombard effect, forcing individuals to raise their voice volume. Exposure to noisy environments could provoke vocal folds lesions such as nodules, oedema, cysts, polyps as well as according to WHO (2018) annoyance, sleep disturbance, cognitive impairment in children, and adverse impacts on the cardiovascular and the metabolic system.

    Objective

    The purpose of the current study was to systematically review the current literature for the impact of environmental noise on vocal behavior.

    Methods

    Quires in Scholar Google and PubMed databases for peer-reviewed articles that reported environmental noise pollution exposure outcomes at voice behavior were conducted during the last 20 years. Primary Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) together with the Assessment for Multiple Systematic Reviews (AMSTAR) were employed for this study.

    Results

    32 articles were included for the final analysis according to the inclusion criteria. Environmental noise conditions in work and leisure settings were examined. Main findings indicated vocal annoyance, while when comparing patients with vocal lesions to control group, it was pinpointed that (i) they work in higher noise environments, with the consequence to raise voice levels and therefore causing hoarseness, vocal trauma and lesions on vocal cords (ii) average voice level and fundamental frequency were also significantly higher during work (iii) no significant differences in average noise, voice level and fundamental frequency were noted during leisure conditions.

    Conclusions

    This systematic review indicated that noise pollution exposure especially at work conditions affects vocal behavior and therefore human health. It reveals the need of further in-depth future research regarding vocally demanding professions and environmental noise along with procedures that contribute towards vocal health and prevent occupational voice disorders.

    Citation: Eugenia I. Toki, Polyxeni Fakitsa, Konstantinos Plachouras, Konstantinos Vlachopoulos, Neofytos Kalaitzidis, Jenny Pange. How does noise pollution exposure affect vocal behavior? A systematic review[J]. AIMS Medical Science, 2021, 8(2): 116-137. doi: 10.3934/medsci.2021012

    Related Papers:

  • Background

    Various types of pollution, like atmospheric, water, soil, noise, have been reported as voice risk factors and exposure can result in vocal problems. Particularly, environmental noise causes the Lombard effect, forcing individuals to raise their voice volume. Exposure to noisy environments could provoke vocal folds lesions such as nodules, oedema, cysts, polyps as well as according to WHO (2018) annoyance, sleep disturbance, cognitive impairment in children, and adverse impacts on the cardiovascular and the metabolic system.

    Objective

    The purpose of the current study was to systematically review the current literature for the impact of environmental noise on vocal behavior.

    Methods

    Quires in Scholar Google and PubMed databases for peer-reviewed articles that reported environmental noise pollution exposure outcomes at voice behavior were conducted during the last 20 years. Primary Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) together with the Assessment for Multiple Systematic Reviews (AMSTAR) were employed for this study.

    Results

    32 articles were included for the final analysis according to the inclusion criteria. Environmental noise conditions in work and leisure settings were examined. Main findings indicated vocal annoyance, while when comparing patients with vocal lesions to control group, it was pinpointed that (i) they work in higher noise environments, with the consequence to raise voice levels and therefore causing hoarseness, vocal trauma and lesions on vocal cords (ii) average voice level and fundamental frequency were also significantly higher during work (iii) no significant differences in average noise, voice level and fundamental frequency were noted during leisure conditions.

    Conclusions

    This systematic review indicated that noise pollution exposure especially at work conditions affects vocal behavior and therefore human health. It reveals the need of further in-depth future research regarding vocally demanding professions and environmental noise along with procedures that contribute towards vocal health and prevent occupational voice disorders.



    加载中


    1 When producing speech in noisy backgrounds talkers reflexively adapt their speaking style in ways that increase speech-in-noise intelligibility. This adaptation is known as the Lombard effect [67].

    Conflict of interest



    All authors declare no conflicts of interest in this paper.

    [1] de Jong FICRS (2010) An introduction to the teacher's voice in a biopsychosocial perspective. Folia Phoniatr Logop 62: 5-8. doi: 10.1159/000239058
    [2] Fernández MD, Quintana S, Chavarría N, et al. (2009) Noise exposure of workers of the construction sector. Appl Acoust 70: 753-760. doi: 10.1016/j.apacoust.2008.07.014
    [3] Boominathan P, Desai V (2012) Synergy between speech language pathologists and ENT surgeons to promote patient care. J Laryngol Voice 2: 51. doi: 10.4103/2230-9748.106977
    [4] Fidêncio VLD, Moret ALM, Jacob RTS (2014) Measuring noise in classrooms: a systematic review. CoDAS 26: 155-158. doi: 10.1590/2317-1782/2014029IN
    [5] Feder RJ (1983) Noise pollution as factor in voice disorders. Otolaryngol Head Neck Surg 91: 469-469. doi: 10.1177/019459988309100501
    [6] Niebudek-Bogusz E, Śliwińska-Kowalska M (2013) An overview of occupational voice disorders in Poland. Int J Occup Med Environ Health 26: 659-669. doi: 10.2478/s13382-013-0146-7
    [7] Lyberg-Åhlander V, Rydell R, Löfqvist A, et al. (2015) Teachers' voice use in teaching environment. Aspects on speakers' comfort. Energy Procedia 78: 3090-3095. doi: 10.1016/j.egypro.2015.11.762
    [8] Hijleh M (2019)  Towards a global music history: intercultural convergence, fusion, and transformation in the human musical story Abingdon, Oxon; New York, NY: Routledge.
    [9] Martins RHG, do Amaral HA, Tavares ELM, et al. (2016) Voice disorders: etiology and diagnosis. J Voice 30: 761.e1-761.e9. doi: 10.1016/j.jvoice.2015.09.017
    [10] Milovanovic J, Vukasinovic M, Jotic A, et al. (2018) Relationship between socio-demographic characteristics and vocal fold nodules, polyps and oedema. Acta Otorhinolaryngol Ital 38: 424-430. doi: 10.14639/0392-100X-1983
    [11] Singh S, Vanka S (2019) Voice matters: why HR should listen to employee voice? Strateg HR Rev 18: 268-271. doi: 10.1108/SHR-04-2019-0026
    [12] Jarosińska D, Héroux MÈ, Wilkhu P, et al. (2018) Development of the WHO environmental noise guidelines for the European region: an introduction. Int J Environ Res Public Health 15: 813. doi: 10.3390/ijerph15040813
    [13] Šujanová P, Rychtáriková M, Sotto Mayor T, et al. (2019) A healthy, energy-efficient and comfortable indoor environment, a review. Energies 12: 1414. doi: 10.3390/en12081414
    [14] Quintana S, Fernandez MD, Chavarria N, et al. (2008) Measurement method for noise exposure of jobs of the construction sector. J Acoust Soc Am 123: 3678-3678. doi: 10.1121/1.2935038
    [15] Zhang Z (2016) Mechanics of human voice production and control. J Acoust Soc Am 140: 2614-2635. doi: 10.1121/1.4964509
    [16] Colton RH, Casper JK, Leonard R (2006)  Understanding voice problems: a physiological perspective for diagnosis and treatment Baltimore, MD: Lippincott Williams & Wilkins.
    [17] Behlau M, Madazio G, Oliveira G (2015) Functional dysphonia: strategies to improve patient outcomes. Patient Relat Outcome Meas 6: 243-253. doi: 10.2147/PROM.S68631
    [18] Wu Y, Chen P, Yao Y, et al. (2017) Dysphonic voice pattern analysis of patients in Parkinson's disease using minimum interclass probability risk feature selection and bagging ensemble learning methods. Comput Math Methods Med 2017: 4201984.
    [19] Al-Nasheri A, Muhammad G, Alsulaiman M, et al. (2018) Voice pathology detection and classification using auto-correlation and entropy features in different frequency regions. IEEE Access 6: 6961-6974. doi: 10.1109/ACCESS.2017.2696056
    [20] Cohen SM, Kim J, Roy N, et al. (2012) Prevalence and causes of dysphonia in a large treatment-seeking population. Laryngoscope 122: 343-348. doi: 10.1002/lary.22426
    [21] Schiller IS, Morsomme D, Remacle A (2018) Voice use among music theory teachers: a voice dosimetry and self-assessment study. J Voice 32: 578-584. doi: 10.1016/j.jvoice.2017.06.020
    [22] Tafiadis D, Tatsis G, Ziavra N, et al. (2017) Voice data on female smokers: coherence between the voice handicap index and acoustic voice parameters. AIMS Med Sci 4: 151-163. doi: 10.3934/medsci.2017.2.151
    [23] Moreti F, Zambon F, Oliveira G, et al. (2014) Cross-cultural adaptation, validation, and cutoff values of the Brazilian version of the voice symptom scale—VoiSS. J Voice 28: 458-468. doi: 10.1016/j.jvoice.2013.11.009
    [24] Martins RHG, Tavares ELM, Ranalli PF, et al. (2014) Psychogenic dysphonia: diversity of clinical and vocal manifestations in a case series. Braz J Otorhinolaryngol 80: 497-502. doi: 10.1016/j.bjorl.2014.09.002
    [25] Borghi B, Safi A, Santangelo C, et al. (2015) Recovery of post thyroidectomy aphonia with peri recurrent laryngeal nerve injection of meloxicam. Glob J Anesthesiol 2: 019-021. doi: 10.17352/2455-3476.000011
    [26] Ta JH, Liu YF, Krishna P (2015) Medicolegal aspects of iatrogenic dysphonia and recurrent laryngeal nerve injury. Otolaryngol Head Neck Surg 154: 80-86.
    [27] Roy N, Merrill RM, Thibeault S, et al. (2004) Prevalence of voice disorders in teachers and the general population. J Speech Lang Hear Res 47: 281-293. doi: 10.1044/1092-4388(2004/023)
    [28] Nusseck M, Richter B, Spahn C, et al. (2018) Analysing the vocal behaviour of teachers during classroom teaching using a portable voice accumulator. Logoped Phoniatr Vocol 43: 1-10. doi: 10.1080/14015439.2017.1295104
    [29] Kelleher JE, Siegmund T, Du M, et al. (2013) Empirical measurements of biomechanical anisotropy of the human vocal fold lamina propria. Biomech Model Mechanobiol 12: 555-567. doi: 10.1007/s10237-012-0425-4
    [30] Ali Z, Elamvazuthi I, Alsulaiman M, et al. (2016) Automatic voice pathology detection with running speech by using estimation of auditory spectrum and cepstral coefficients based on the all-pole model. J Voice 30: 757.e7-757.e19. doi: 10.1016/j.jvoice.2015.08.010
    [31] Kuang J, Liberman M (2016) Pitch-range perception: the dynamic interaction between voice quality and fundamental frequency. InterSpeech 1350-1354. doi: 10.21437/Interspeech.2016-1483
    [32] Gonzalez JA, Cheah LA, Gilbert JM, et al. (2016) A silent speech system based on permanent magnet articulography and direct synthesis. Comput Speech Lang 39: 67-87. doi: 10.1016/j.csl.2016.02.002
    [33] Bruno E, De Padova A, Napolitano B, et al. (2009) Voice disorders and posturography: variables to define the success of rehabilitative treatment. J Voice 23: 71-75. doi: 10.1016/j.jvoice.2007.06.002
    [34] Shea BJ, Grimshaw JM, Wells GA, et al. (2007) Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol 7: 10. doi: 10.1186/1471-2288-7-10
    [35] Moher D, Liberati A, Tetzlaff J, et al. (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6: e1000097. doi: 10.1371/journal.pmed.1000097
    [36] Södersten M, Ternström S, Bohman M (2005) Loud speech in realistic environmental noise: phonetogram data, perceptual voice quality, subjective ratings, and gender differences in healthy speakers. J Voice 19: 29-46. doi: 10.1016/j.jvoice.2004.05.002
    [37] Niebudek-Bogusz E, Fiszer M, Kotylo P, et al. (2006) Diagnostic value of voice acoustic analysis in assessment of occupational voice pathologies in teachers. Logoped Phoniatr Vocol 31: 100-106. doi: 10.1080/14015430500295756
    [38] Zannin PHT, Marcon CR (2007) Objective and subjective evaluation of the acoustic comfort in classrooms. Appl Ergon 38: 675-680. doi: 10.1016/j.apergo.2006.10.001
    [39] de Alvear RB, Martínez-Arquero G (2009) Teachers' voice disorders collateral effects. Otorynolaryngologia 8.
    [40] Åhlander VL, Rydell R, Löfqvist A (2011) Speaker's comfort in teaching environments: voice problems in Swedish teaching staff. J Voice 25: 430-440. doi: 10.1016/j.jvoice.2009.12.006
    [41] Rantala LM, Hakala S, Holmqvist S, et al. (2012) Connections between voice ergonomic risk factors in classrooms and teachers' voice production. Folia Phoniatr Logop 64: 278-282. doi: 10.1159/000346864
    [42] Simões-Zenari M, Bitar ML, Nemr NK, et al. (2012) The effect of noise on the voice of preschool institution educators. Rev Saude Publica 46: 657-664. (In Portuguese). doi: 10.1590/S0034-89102012005000038
    [43] Franca MC (2013) A comparison of vocal demands with vocal performance among classroom student teachers. J Commun Disord 46: 111-123. doi: 10.1016/j.jcomdis.2012.11.001
    [44] Lyberg Åhlander V, Pelegrín García D, Whitling S, et al. (2014) Teachers' voice use in teaching environments: a field study using ambulatory phonation monitor. J Voice 28: 841.e5-841.e15. doi: 10.1016/j.jvoice.2014.03.006
    [45] Kristiansen J, Lund SP, Persson R, et al. (2014) A study of classroom acoustics and school teachers' noise exposure, voice load and speaking time during teaching, and the effects on vocal and mental fatigue development. Int Arch Occup Environ Health 87: 851-860. doi: 10.1007/s00420-014-0927-8
    [46] Cutiva LCC, Burdorf A (2015) Effects of noise and acoustics in schools on vocal health in teachers. Noise Health 17: 17-22. doi: 10.4103/1463-1741.149569
    [47] Rantala LM, Sala E (2015) Effects of classroom acoustics on teachers' voices. Build Acoust 22: 243-258. doi: 10.1260/1351-010X.22.3-4.243
    [48] Cutiva LCC, Burdorf A (2016) Work-related determinants of voice complaints among school workers: an eleven-month follow-up Study. Am J Speech Lang Pathol 25: 590-597. doi: 10.1044/2016_AJSLP-14-0191
    [49] Kristiansen J, Lund SP, Persson R, et al. (2016) The effects of acoustical refurbishment of classrooms on teachers' perceived noise exposure and noise-related health symptoms. Int Arch Occup Environ Health 89: 341-350. doi: 10.1007/s00420-015-1077-3
    [50] Yassin MF, Almutairi H, Alhajeri N, et al. (2016) Assessment of noise exposure and associated health risk in school environment. Int J Environ Sci Technol 13: 2011-2024. doi: 10.1007/s13762-016-1035-y
    [51] Abo-Hasseba A, Waaramaa T, Alku P, et al. (2017) Difference in voice problems and noise reports between teachers of public and private schools in upper Egypt. J Voice 31: 508.e11-508.e16. doi: 10.1016/j.jvoice.2016.10.016
    [52] Cantor Cutiva LC, Puglisi GE, Astolfi A, et al. (2017) Four-day follow-up study on the self-reported voice condition and noise condition of teachers: relationship between vocal parameters and classroom acoustics. J Voice 31: 120.e1-120.e8. doi: 10.1016/j.jvoice.2016.02.017
    [53] Pirilä S, Pirilä P, Ansamaa T, et al. (2017) Relationship between activity noise, voice parameters, and voice symptoms among female teachers. Folia Phoniatr Logop 69: 94-102. doi: 10.1159/000484204
    [54] Cantor-Cutiva LC, Bottalico P, Hunter E (2018) Factors associated with vocal fry among college students. Logoped Phoniatr Vocol 43: 73-79. doi: 10.1080/14015439.2017.1362468
    [55] Rabelo ATV, Santos JN, Souza BO, et al. (2019) The influence of noise on the vocal dose in women. J Voice 33: 214-219. doi: 10.1016/j.jvoice.2017.10.025
    [56] Phadke KV, Abo-Hasseba A, Švec JG, et al. (2019) Influence of noise resulting from the location and conditions of classrooms and schools in upper Egypt on teachers' voices. J Voice 33: 802.e1-802.e9. doi: 10.1016/j.jvoice.2018.03.003
    [57] Karjalainen S, Brännström JK, Christensson J, et al. (2020) A pilot study on the relationship between primary-school teachers' well-being and the acoustics of their classrooms. Int J Environ Res Public Health 17: 2083. doi: 10.3390/ijerph17062083
    [58] Munier C, Brockmann-Bauser M, Laukkanen AM, et al. (2020) Relationship between laryngeal signs and symptoms, acoustic measures, and quality of life in Finnish primary and kindergarten school teachers. J Voice 34: 259-271. doi: 10.1016/j.jvoice.2018.12.006
    [59] Rezende BA, Abreu MNS, Assunção AÁ, et al. (2020) Factors associated with the limitation at work because of the voice: study with teachers of basic education in Brazil. J Voice Online ahead of print.
    [60] Silva BG, Chammas TV, Zenari MS, et al. (2017) Analysis of possible factors of vocal interference during the teaching activity. Rev Saude Publica 51: 124. doi: 10.11606/S1518-8787.2017051000092
    [61] Stathopoulos ET, Huber JE, Richardson K, et al. (2014) Increased vocal intensity due to the Lombard effect in speakers with Parkinson's disease: simultaneous laryngeal and respiratory strategies. J Commun Disord 48: 1-17. doi: 10.1016/j.jcomdis.2013.12.001
    [62] Szabo Portela A, Granqvist S, Ternström S, et al. (2018) Vocal behavior in environmental noise: comparisons between work and leisure conditions in women with work-related voice disorders and matched controls. J Voice 32: 126.e23-126.e38. doi: 10.1016/j.jvoice.2017.04.010
    [63] Hoffman-Ruddy B, Lehman J, Crandell C, et al. (2001) Laryngostroboscopic, acoustic, and environmental characteristics of high-risk vocal performers. J Voice 15: 543-552. doi: 10.1016/S0892-1997(01)00054-6
    [64] Sharma A, Sharma H, Munjal S, et al. (2020) Acoustic, perceptual, and laryngoscopic changes post vocal abuse at a college fest. J Voice Online ahead of print.
    [65] Lehto L, Laaksonen L, Vilkman E, et al. (2008) Changes in objective acoustic measurements and subjective voice complaints in call center customer-service advisors during one working day. J Voice 22: 164-177. doi: 10.1016/j.jvoice.2006.08.010
    [66] Ben-David BM, Icht M (2016) Voice changes in real speaking situations during a day, with and without vocal loading: assessing call center operators. J Voice 30: 247.e1-247.e11. doi: 10.1016/j.jvoice.2015.04.002
    [67] Marxer R, Barker J, Alghamdi N, et al. (2018) The impact of the Lombard effect on audio and visual speech recognition systems. Speech Commun 100: 58-68. doi: 10.1016/j.specom.2018.04.006
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3990) PDF downloads(261) Cited by(3)

Article outline

Figures and Tables

Figures(1)  /  Tables(4)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog