Titulo:
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
.
Sumario:
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 productivi... Ver más
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Revista de Investigación e Innovación en Ciencias de la Salud - 2022
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FUNDACION UNIVERSITARIA MARIA CANO |
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Colombia |
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Revista de Investigación e Innovación en Ciencias de la Salud |
| title |
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 |
| spellingShingle |
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 Atará-Piraquive, Ángela Patricia Rute Sanabria, Bibiana Omaira Cantor-Cutiva, Lady Catherine Stress sleep quality voice symptoms COVID-19 teachers productivity voice quality costs and cost analysis health occupational universities Estrés calidad del sueño síntomas de voz COVID-19 docentes productividad calidad de voz costos y análisis de costo salud laboral universidades |
| title_short |
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 |
| title_full |
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 |
| title_fullStr |
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 |
| title_full_unstemmed |
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 |
| title_sort |
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 |
| description |
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.
|
| description_eng |
Objective. To estimate the productivity reduction costs associated to self-reported voice symptoms, low sleep quality, and high stress levels among college professors during homeworking in times of COVID-19 pandemic.
Methods. This cross-sectional study included fifty-eight college professors who reported their reduction in productivity at work due to self-perceived stress levels, sleep quality, and voice symptoms.
Results. High stress levels were reported by 24% of the participants, whereas 19% reported voice symptoms, and 3% low sleep quality. Costs associated with the three conditions were calculated for twenty-nine subjects. Productivity costs associated with high stress levels were higher (COP$32.345.925) than those for voice symptoms (COP$1.872.703) and low sleep quality (COP$319.733).
Conclusion: Productivity reduction costs were higher for professors who reported high levels of stress followed by participants with self-reported voice symptoms and low sleep quality, which highlight the importance of prioritizing activities to reduce stress levels and voice symptoms in workplace health promotion programs implemented in educational settings.
|
| author |
Atará-Piraquive, Ángela Patricia Rute Sanabria, Bibiana Omaira Cantor-Cutiva, Lady Catherine |
| author_facet |
Atará-Piraquive, Ángela Patricia Rute Sanabria, Bibiana Omaira Cantor-Cutiva, Lady Catherine |
| topic |
Stress sleep quality voice symptoms COVID-19 teachers productivity voice quality costs and cost analysis health occupational universities Estrés calidad del sueño síntomas de voz COVID-19 docentes productividad calidad de voz costos y análisis de costo salud laboral universidades |
| topic_facet |
Stress sleep quality voice symptoms COVID-19 teachers productivity voice quality costs and cost analysis health occupational universities Estrés calidad del sueño síntomas de voz COVID-19 docentes productividad calidad de voz costos y análisis de costo salud laboral universidades |
| topicspa_str_mv |
Estrés calidad del sueño síntomas de voz COVID-19 docentes productividad calidad de voz costos y análisis de costo salud laboral universidades |
| citationvolume |
4 |
| citationissue |
1 |
| publisher |
Fundación Universitaria María Cano |
| ispartofjournal |
Revista de Investigación e Innovación en Ciencias de la Salud |
| source |
https://riics.info/index.php/RCMC/article/view/131 |
| language |
eng |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Revista de Investigación e Innovación en Ciencias de la Salud - 2022 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references_eng |
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J Voice. 1997;11(3):254–9. doi: https://www.doi.org/10.1016/S0892-1997(97)80002-1 6. 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 7. 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 8. 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 9. 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 10. 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 11. 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 12. 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 13. 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 14. Musa NA, Moy FM, Wong LP. Prevalence and factors associated with low sleep quality among secondary school teachers in a developing country. 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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 28. Carrillo-González Á. Caracterización de la relación sueño y estrés con el funcionamiento vocal en docentes universitarios. Bogotá, Colombia: Universidad Nacional de Colombia; 2020. 29. 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 30. 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 31. 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 32. Sonnentag S, Binnewies C. 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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 |
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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 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 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. Objective. To estimate the productivity reduction costs associated to self-reported voice symptoms, low sleep quality, and high stress levels among college professors during homeworking in times of COVID-19 pandemic. Methods. This cross-sectional study included fifty-eight college professors who reported their reduction in productivity at work due to self-perceived stress levels, sleep quality, and voice symptoms. Results. High stress levels were reported by 24% of the participants, whereas 19% reported voice symptoms, and 3% low sleep quality. Costs associated with the three conditions were calculated for twenty-nine subjects. Productivity costs associated with high stress levels were higher (COP$32.345.925) than those for voice symptoms (COP$1.872.703) and low sleep quality (COP$319.733). Conclusion: Productivity reduction costs were higher for professors who reported high levels of stress followed by participants with self-reported voice symptoms and low sleep quality, which highlight the importance of prioritizing activities to reduce stress levels and voice symptoms in workplace health promotion programs implemented in educational settings. Atará-Piraquive, Ángela Patricia Rute Sanabria, Bibiana Omaira Cantor-Cutiva, Lady Catherine Stress sleep quality voice symptoms COVID-19 teachers productivity voice quality costs and cost analysis health occupational universities Estrés calidad del sueño síntomas de voz COVID-19 docentes productividad calidad de voz costos y análisis de costo salud laboral universidades 4 1 Artículo de revista Journal article 2022-02-05T00:00:00Z 2022-02-05T00:00:00Z 2022-02-05 application/pdf text/xml Fundación Universitaria María Cano Revista de Investigación e Innovación en Ciencias de la Salud 2665-2056 https://riics.info/index.php/RCMC/article/view/131 10.46634/riics.131 https://doi.org/10.46634/riics.131 eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Revista de Investigación e Innovación en Ciencias de la Salud - 2022 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 4 15 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 2. Gotaas C, Starr CD. Vocal fatigue among teachers. Folia Phoniatr (Basel). 1993;45(3):120–9. doi: https://www.doi.org/10.1159/000266237 3. 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 4. 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 5. 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 6. 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 7. 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 8. 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 9. 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 10. 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 11. 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 12. 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 13. 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 14. Musa NA, Moy FM, Wong LP. Prevalence and factors associated with low sleep quality among secondary school teachers in a developing country. 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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 https://riics.info/index.php/RCMC/article/download/131/243 https://riics.info/index.php/RCMC/article/download/131/252 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 http://purl.org/redcol/resource_type/ART info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |