Costos de productividad asociados a síntomas de voz, baja calidad del sueño y estrés en profesores universitarios durante el trabajo en casa en tiempos de COVID-19
Productivity costs associated to voice symptoms, low sleep quality, and stress among college professors during homeworking in times of COVID-19 Pandemic
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Objetivo. Estimar los costos de reducción de productividad asociados con los síntomas de voz, la baja calidad del sueño y los altos niveles de estrés entre los profesores universitarios durante el trabajo en casa en tiempos de COVID-19.
Métodos. Este estudio transversal incluyó la participación de 58 docentes universitarios, los cuales reportaron la reducción de la productividad en el trabajo relacionada con sus percepciones de los niveles de estrés, la calidad del sueño y los síntomas de voz .
Resultados. El 24% de los participantes informó altos niveles de estrés, mientras que el 19% informó síntomas de voz y el 3% mala calidad del sueño. Los costos asociados con las tres condiciones se calcularon para 29 sujetos. Los costos de productividad asociados a altos niveles de estrés fueron mayores (COP$32.345.925) en comparación con los síntomas de voz (COP$1.872.703) y la mala calidad del sueño (COP$319.733).
Conclusiones: Los costos asociados a la reducción en la productividad fueron altos en docentes que reportaron altos niveles de estrés, seguidos de los que reportaron síntomas de voz y baja calidad del sueño. Lo anterior resalta la importancia de priorizar actividades dirigidas a reducir los niveles de estrés y los síntomas vocales en los programas de promoción de la salud en los lugares de trabajo que se implementan en las instituciones educativas.
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- Cantor-Cutiva LC, Vogel I, Burdorf A. Voice disorders in teachers and their associations with work-related factors: a systematic review. J Commun Disord. 2013;46(2):143–55. doi: https://www.doi.org/10.1016/j.jcomdis.2013.01.001
- Gotaas C, Starr CD. Vocal fatigue among teachers. Folia Phoniatr (Basel). 1993;45(3):120–9. doi: https://www.doi.org/10.1159/000266237
- Roy N, Merrill RM, Gray SD, Smith EM. Voice Disorders in the General Population: Prevalence, Risk Factors, and Occupational Impact: The Laryngoscope. 2005;115(11):1988–95. doi: https://www.doi.org/ 10.1097/01.mlg.0000179174.32345.41
- Sapir S, Keidar A, Mathers-Schmidt B. Vocal attrition in teachers: survey findings. Eur J Disord Commun J Coll Speech Lang Ther Lond. 1993;28(2):177–85. doi: https://www.doi.org/10.3109/13682829309041465
- Titze IR, Lemke J, Montequin D. Populations in the U.S. workforce who rely on voice as a primary tool of trade: a preliminary report. J Voice. 1997;11(3):254–9. doi: https://www.doi.org/10.1016/S0892-1997(97)80002-1
- Williams NR. Occupational groups at risk of voice disorders: a review of the literature. Occup Med. 2003;53(7):456–60. doi: https://www.doi.org/10.1093/occmed/kqg113
- Azevedo ÁCB de, Lopes X de F de M, Lima JR de, Valença CN, Guedes DT, Souza JC de. Relationship between work context and sleep problems of high school teachers. Res Soc Dev. 2021;10(7):e31910716195. doi: https://www.doi.org/10.33448/rsd-v10i7.16195
- Souza JC de, Sousa IC de Belísio AS, Azevedo CVM de. Sleep habits, daytime sleepiness and sleep quality of high school teachers. Psychol Neurosci. 2012;5:257–63. doi: https://www.doi.org/10.3922/j.psns.2012.2.17
- Hadi AA, Naing NN, Daud A, Nordin R, Sulong MR. Prevalence and factors associated with stress among secondary school teachers in Kota Bharu, Kelantan, Malaysia. Southeast Asian J Trop Med Public Health. 2009;40(6):1359–70. PMID: 20578472
- Li W, Kou C. Prevalence and correlates of psychological stress among teachers at a national key comprehensive university in China. Int J Occup Environ Health. 2018;24(1–2):7–16. doi: https://www.doi.org/10.1080/10773525.2018.1500803
- Tai KL, Ng YG, Lim PY. Systematic review on the prevalence of illness and stress and their associated risk factors among educators in Malaysia. Bulduk S, editor. PLOS ONE. 2019;14(5):e0217430. doi: https://www.doi.org/10.1371/journal.pone.0217430
- Yiu EM-L. Impact and Prevention of Voice Problems in the Teaching Profession: Embracing the Consumers’ View. J Voice. 2002;16(2):14. doi: https://www.doi.org/ 10.1016/s0892-1997(02)00091-7
- Thoits PA. Mechanisms linking social ties and support to physical and mental health. J Health Soc Behav. 2011;52(2):145–61. doi: https://www.doi.org/ 10.1177/0022146510395592
- Musa NA, Moy FM, Wong LP. Prevalence and factors associated with low sleep quality among secondary school teachers in a developing country. Ind Health. 2018;56(5):407–18. doi: https://www.doi.org/10.2486/indhealth.2018-0052
- Agostini-Zampieron M, Barlatey-Frontera C, Barlatey-Frontera MF, Arca-Fabre A. Prevalencia de disfonías funcionales en docentes argentinos. Aten Fam. 2013;20(3):81–5. doi: https://www.doi.org/10.1016/S1405-8871(16)30097-9
- Atará-Piraquive ÁP. Efecto de un programa de promoción de la salud vocal en los lugares de trabajo en la demanda vocal de docentes universitarios [Internet]. Universidad Nacional de Colombia; 2020 [cited 2021 May 3]. Available from: https://repositorio.unal.edu.co/handle/unal/79152
- Lemos M, Calle G, Roldán T, Valencia M, Orejuela JJ, Román-Calderón JP, et al. Factores psicosociales asociados al estrés en profesores universitarios colombianos. Divers Perspect En Psicol. 2019;15(1):61–72. doi: https://doi.org/10.15332/s1794-9998.2019.0015.05
- Sanabria-Mazo JP, Riaño-Lara V, Gómez JSR, Meritxell Carmona, Ulrich JLM, Feliu-Soler A, et al. Efectos en la salud mental de la población colombiana durante la pandemia del COVID-19. 2020 [cited 2020 Aug 16]; Available from: http://rgdoi.net/10.13140/RG.2.2.33334.52805/3
- Cantor-Cutiva LC, Puglisi GE, Astolfi A, Carullo A. 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. 2017;31(1):120.e1-120.e8. doi: https://doi.org/10.1016/j.jvoice.2016.02.017
- Giannini SPP, Latorre M do RD de O, Ferreira LP. Factors associated with voice disorders among teachers: a case-control study. CoDAS. 2013;25(6):566–76. doi: https://doi.org/ 10.1590/S2317-17822014000100009
- Verdolini K, Ramig LO. Review: occupational risks for voice problems. Logoped Phoniatr Vocol. 2001;26(1):37–46. doi: https://doi.org/10.1080/140154301300109125
- Cantor-Cutiva LC, Burdorf A. Medical Costs and Productivity Costs Related to Voice Symptoms in Colombian Teachers. J Voice. 2015;29(6):776.e15-776.e22. doi: https://doi.org/10.1016/j.jvoice.2015.01.005
- Lages Moselli LD, Ávila Assunção A, Mesquita de Medeiros A. Absenteísmo por distúrbios da voz em professores: revisão da literatura, 2005-2015. Distúrb Comun. 2017;29(3):579. doi: https://doi.org/10.23925/2176-2724.2017v29i3p579-587
- Vedovato TG, Monteiro I. Health Conditions and Factors Related to the Work Ability of Teachers. Ind Health. 2014;52(2):121–8. doi: https://doi.org/10.2486/indhealth.2013-0096
- Hafner M, Stepanek M, Taylor J, Troxel WM, van Stolk C. Why Sleep Matters—The Economic Costs of Insufficient Sleep. Rand Health Q. 2017;6(4):11. Available from: https://www.rand.org/pubs/research_reports/RR1791.html.
- Hassard J, Teoh K, Cox T, Dewe P, Cosmar M, Gründler R, et al. Calculating the cost of stress and psychosocial risks [Internet]. Luxembourg: Luxembourg: Publications Office of the European Union.; 2014 [cited 2022 Feb 14]. doi: http://doi.org/10.2802/20493
- Cantor Cutiva LC, Burdorf A. Factors associated with voice-related quality of life among teachers with voice complaints. J Commun Disord. 2014;52:134–42. doi: https://doi.org/10.1016/j.jcomdis.2014.05.003
- Carrillo-González Á. Caracterización de la relación sueño y estrés con el funcionamiento vocal en docentes universitarios. Bogotá, Colombia: Universidad Nacional de Colombia; 2020.
- Nanjundeswaran C, Jacobson BH, Gartner-Schmidt J, Verdolini Abbott K. Vocal Fatigue Index (VFI): Development and Validation. J Voice. 2015;29(4):433–40. doi: https://doi.org/10.1016/j.jvoice.2014.09.012
- Hogikyan ND, Sethuraman G. Validation of an instrument to measure voice-related quality of life (V-RQOL). J Voice. 1999;13(4):557–69. doi: https://doi.org/10.1016/S0892-1997(99)80010-1
- Elo A-L, Leppänen A, Jahkola A. Validity of a single-item measure of stress symptoms. Scand J Work Environ Health. 2003;29(6):444–51. doi: https://doi.org/ 10.5271/sjweh.752
- Sonnentag S, Binnewies C. Daily affect spillover from work to home: Detachment from work and sleep as moderators. J Vocat Behav. 2013;83(2):198–208. doi: https://doi.org/ 10.1016/j.jvb.2013.03.008
- Osterhaus JT, Purcaru O, Richard L. Discriminant validity, responsiveness and reliability of the rheumatoid arthritis-specific Work Productivity Survey (WPS-RA). Arthritis Res Ther. 2009;11(3): R73. doi: https://doi.org/10.1186/ar2702
- Kyriakou K, Petinou K, Phinikettos I. Risk Factors for Voice Disorders in University Professors in Cyprus. J Voice. 2018;32(5):643.e1-643.e9. doi: https://doi.org/ 10.1016/j.jvoice.2017.07.005
- Korn GP, Augusto de Lima Pontes A, Abranches D, Augusto de Lima Pontes P. Vocal Tract Discomfort and Risk Factors in University Teachers. J Voice. 2016;30(4):507.e1-507.e8. doi: https://doi.org/10.1016/j.jvoice.2015.06.001
- Giannini SPP, Ferreira LP. Voice disorders in teachers and the International Classification of Functioning, Disability and Health (ICF). Rev Investig E Innov En Cienc Salud. 2021;3(1):33–47. doi: https://doi.org/10.46634/riics.60
- Higgins KP, Smith AB. Prevalence and Characteristics of Voice Disorders in a Sample of University Teaching Faculty. Contemp Issues Commun Sci Disord. 2012;39(Fall):69–75. doi: https://doi.org/10.1044/cicsd_39_F_69
- Rocha BR, Behlau M. The Influence of Sleep Disorders on Voice Quality. J Voice. 2018;32(6):771.e1-771.e13. doi: https://doi.org/10.1016/j.jvoice.2017.08.009
- Burton WN, Chen C-Y, Conti DJ, Schultz AB, Pransky G, Edington DW. The association of health risks with on-the-job productivity. J Occup Environ Med. 2005;47(8):769–77. doi: https://doi.org/10.1097/01.jom.0000169088.03301.e4
- Gaultney JF, Collins-McNeil J. Lack of Sleep in the Workplace: What the Psychologist-Manager Should Know About Sleep. Psychol-Manag J Taylor Francis Ltd. 2009;12(2):132–48. doi: https://doi.org/10.1080/10887150902905454
- Rosekind MR, Gregory KB, Mallis MM, Brandt SL, Seal B, Lerner D. The Cost of Low sleep: Workplace Productivity Loss and Associated Costs. J Occup Environ Med. 2010;52(1):91–8. doi: https://doi.org/10.1097/JOM.0b013e3181c78c30
- Vij R. A Study of Workplace Stress and the Stifling Productivity of Teaching Faculty of B-schools of National Capital Region of Delhi. Drishtikon Manag J [Internet]. 2014;5(2). Available from: http://ezproxy.unal.edu.co/scholarly-journals/study-workplace-stress-stifling-productivity/docview/1525629887/se-2?accountid=137090
- Hassan Z, Mohamad N. Factors contribute to stress among teachers. Conference: The 2nd International Conference on Business Management. In Indonesia; 2016.
- Kourmousi N, Alexopoulos EC. Stress Sources and Manifestations in a Nationwide Sample of Pre-Primary, Primary, and Secondary Educators in Greece. Front Public Health [Internet]. 2016 [cited 2022 Feb 18];4. Available from: https://www.frontiersin.org/article/10.3389/fpubh.2016.00073
- Paniagua MS, Pérez CJ, Calle-Alonso F, Salazar C. An Acoustic-Signal-Based Preventive Program for University Lecturers’ Vocal Health. J Voice. 2018; S0892199718301097. doi: https://doi.org/10.1016/j.jvoice.2018.05.011