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Revista de investigación e innovación en ciencias de la salud

On-line version ISSN 2665-2056

Rev. Investig. Innov. Cienc. Salud vol.5 no.1 Medellín Jan./June 2023  Epub July 18, 2023

https://doi.org/10.46634/riics.176 

Research Article

Vocal Repercussions after Occupational Voice Use and Stress in Primary School Teachers under the Teleworking Modality in Temuco City. A Pilot Study

Gerson Jara Cabrera1  * 
http://orcid.org/0000-0002-6813-8394

Carla Figueroa Saavedra2 
http://orcid.org/0000-0002-4184-8951

Damián Medina Valdebenito3 
http://orcid.org/0009-0002-0046-6962

Felipe Cerda Sandoval4 
http://orcid.org/0000-0003-0794-8497

1 Carrera de Fonoaudiología; Departamento de Ciencias de la Rehabilitación; Facultad de Medicina; Universidad de la Frontera; Temuco; Chile.

2 Carrera de Fonoaudiología; Facultad de Ciencias de la Salud; Universidad Autónoma de Chile; Temuco; Chile.

3 Departamento de Psicología; Facultad de Educación, Ciencias Sociales y Humanidades; Universidad de La Frontera; Temuco; Chile.

4 Carrera de Fonoaudiología; Facultad de Medicina; Pontificia Universidad Católica de Chile; Santiago; Chile.


Abstract

Introduction:

Teleworking as a result of COVID-19 has generated high demands that could promote the generation of vocal overexertion.

Aim:

To evaluate how working conditions can affect changes in vocal health, evaluate work stress, and assess changes in the vocal quality of elementary teachers in Temuco.

Method:

Eighteen elementary school teachers from Temuco, Chile, who were teleworking in 2021, were evaluated at the beginning and end of the school year through the Voice Handicap Index (VHI-30), Vocal Tract Discomfort (VTD), Maslach Burnout Inventory (MBI), and acoustic analysis using long-term average spectrum and disturbance measurements.

Results:

Only 21% of the teachers had adequate physical space for teleworking. In addition, 52.6% had to share household responsibilities such as taking care of minor children during their teleworking day. The results show an increase in symptoms and feelings of discomfort at the level of the vocal tract measured by the VHI-30 and the VTD. Regarding job stress measured by the Burnout scale, a significant value was found only for the emotional exhaustion subscale. In addition, there were no significant differences in the acoustic parameters Jitter, Shimmer, HNR, and Alpha ratio.

Conclusions:

The vast majority of the participants reported increased discomfort and self-perceived vocal symptoms (dry throat, vocal fatigue) together with a higher level of stress, which over time can trigger voice disorders.

Keywords: Teleworking; teachers; psychological exhaustion; psychological stress; voice quality; voice disorders

Resumen

Introducción:

El teletrabajo producto del COVID-19 ha generado exigencias que podrían promover la generación de un sobreesfuerzo vocal.

Objetivo:

Evaluar cómo las condiciones de trabajo pueden afectar la salud vocal, evaluar el estrés laboral y valorar los cambios en la calidad vocal de profesoras de primaria de la comuna de Temuco.

Método:

Se evaluó a 18 profesoras de primaria de la comuna de Temuco, Chile, quienes se encontraban trabajando en modalidad de teletrabajo durante el año 2021, realizando una evaluación al comienzo y al final del año escolar, a través del Voice Handicap Index (VHI-30), Vocal Tract Disconfort (VTD), Maslach Burnout Inventory (MBI) y análisis acústico mediante medidas de perturbación y espectro promedio a largo plazo.

Resultados:

Solo el 21% de las profesoras contaba con un espacio físico adecuado para el teletrabajo. El 52,6% debía compartir responsabilidades del hogar, como el cuidado de hijos menores durante su jornada de teletrabajo. Los resultados muestran un aumento de la sintomatología y sensaciones de incomodidad a nivel del tracto vocal medidas mediante el VHI-30 y el VTD. En cuanto al estrés laboral medido por la escala de Burnout, solo se evidenció un valor significativo para la subescala agotamiento emocional. No se evidenciaron diferencias significativas en los parámetros acústicos Jitter, Shimmer, HNR y Alpha ratio.

Conclusiones:

La gran mayoría de las participantes manifestó un aumento del malestar y sintomatología vocal autopercibida (sequedad de garganta, fatiga vocal) en conjunto con un mayor nivel de estrés, lo que a la larga puede desencadenar trastornos de voz.

Palabras clave: Teletrabajo; docentes; maestras; agotamiento psicológico; estrés psicológico; calidad de la voz; trastornos de la voz

Introduction

Occupational voice refers to a working tool used by different voice professionals, which includes speakers, singers, telephone operators, speakers, actors, and, in particular, teachers, who are a group of great concern due to the intense use of the voice [1]. The International Labor Organization (ILO) establishes that teachers are the primary professional category at risk of contracting diseases due to voice use [2] because they perform their job with no preparation, ignoring the mechanism and the functions of the vocal system, so they do their job with physical, biological, psychosocial and ergonomic risks, which leads to the development and onset of voice issues [3].

Dysphonia in teachers is a public health problem. Some authors report that the international prevalence of dysphonia in teachers is between 11% and 29% [4]; other studies place it around 34.7%, being more frequent in those teachers with greater seniority, women, and other people with disorders such as anxiety or gastroesophageal reflux, etc. [5] However, Preciado [6] indicates in two of his works that it is around 57%. Regarding the national prevalence, a study by Castillo [7] describes 3 of every 4 teachers as presenting a voice disorder of varying severity, and only 6% of them have been formally assessed and diagnosed. This dysphonia is characterized by a partial loss of the voice that affects a teacher’s job performance, associated with symptoms of discomfort or fatigue, demonstrating an association between the amount of vocal use and the voice disorder [8].

Different risk factors can affect a teacher’s voice during the exercise of their work, including physical factors of the environment, chemical factors, and organizational factors, all of which can lead to vocal overexertion [9]. In addition, Castillo [7] indicates that vocal difficulties in teachers are not an isolated problem, but depend on many factors, which are: 1) little awareness of their problem, 2) absence of an adequate vocal technique, 3) smoking habit, 4) presence of gastroesophageal reflux, and 5) high workloads requiring a vocal load.

This vocal load consists of the application of a mechanical force on the tissues that act on vocal function, in this case, the vocal folds [10], with teachers being the ones who generally experience a greater load due to the prolonged use of their voice with excessive intensity [11]. This causes an increase in heat in the vocal folds, which contributes to reducing the existing humidity in the folds, changing the biomechanical properties of the collagen and elastin, which accelerates the fatigue of the lamina propria, predisposing the appearance of damage to the tissues exposed to the vibration [10].

The COVID-19 pandemic has created a new context for the vocal and psychological morbidity of occupational voice users [12]. The current situation of teachers in Chile and part of the world is framed by public health policies that most countries have adopted, which has led to teachers working from home, facing new challenges that add additional pressure and facilitate deleterious results for health [12]. In this sense, a 2020 survey in Chile reveals that 77% of the teachers surveyed suffer from stress with long-distance learning [13]. The vocal interpretation in the classroom differs considerably from remote education, as the teacher is only in a room in their house and only has contact with the students through the Internet [14]. Some studies indicate that psychological stress is associated with higher levels of vocal symptoms in university professors during the transition from classroom to virtual education due to the COVID-19 pandemic, especially in subjects already suffering from higher stress levels before the pandemic [15]. In this sense, it is essential to consider the emotion-related motor component since the vocal process takes place through movements of the effector muscle system, which is also responsible for fulfilling the structural and functional components of the larynx [16]. Therefore, variations in emotions and/or stress have their physiological correlate at the neuromuscular level, which can be measured objectively through vocal biomarkers, such as the acoustic parameters of the voice (fundamental frequency, intensity, shimmer, jitter) [17,18]. In an attempt to explain the changes, some studies emphasize that psychological stress increases the activity of the hypothalamic adrenal axis, which elevates the circulating cortisol levels, which has various effects on the body. This includes an increase in the respiratory rate, muscle tension, and changes in the salivation rate, affecting vocal production [19,20].

One study reports a relationship between voice disorders and chronic occupational stress [21]. In the present context of the pandemic and working from home, teachers’ physical and mental health is affected by the nonexistent boundary between home and work activities [22]. In addition, working from home increases the sedentary lifestyle, which causes higher stress levels [12]. Although teleworking can be favorable in some ways due to the comfort of staying home, in other situations, the combination of telework and family life can trigger stress [23].

Mental well-being and care of the voice are subjects of great relevance to examine in teachers, considering how this impacts teaching quality, teaching performance, and vocal and psychological health [24]. Accordingly, this study aimed to evaluate how working conditions can affect the voice, assess occupational stress, and evaluate the changes in vocal quality in elementary teachers in Temuco after the implementation of working from home between April and November 2021.

Method

Group evolution longitudinal design. Using nonprobability purposive sampling, 18 Chilean teachers were recruited, ranging in age from 28 to 55 years, with an average of 44.21 years (SD = 11.34). The participants belonged to the schools Los Avellanos, Colegio Adventista, and Llaima in Temuco. The inclusion criteria were: 1) elementary teachers working from home; the cycle was selected for having the greatest prevalence of dysphonia [7]; 2) working 15 synchronous hours or more. The exclusion criteria were: 1) presenting voice disorders associated with neurological, psychiatric or vocal organic or functional pathologies; 2) presenting chronic respiratory diseases or acute respiratory infections at the time of the evaluation; 3) being a smoker.

The presence of dysphonia was ruled out by the perceptual analysis of the voice by two speech therapists external to the study and with more than six years of experience in the clinical area of speech.

The decision was made to exclude smokers because prolonged tobacco use causes thickening of the superficial epithelium and carries squamous metaplasia, edema, and submucosal inflammation [25], which would alter voice quality, but no longer as a result of the occupational use of the voice.

Instruments

Voice Handicap Index (VHI-30)

This questionnaire subjectively assesses vocal disability, measuring the perceived impact and behavior of the voice in three dimensions: physical, functional, and emotional. Each item has a score from 0 to 4 according to the subject’s perception. The questionnaire has high test-retest reliability and high total item correlations [26]. As a result, it has been widely used in voice studies nationally [27].

Vocal Tract Discomfort (Scale to determine discomfort in the vocal tract)

This is a self-report instrument that includes signs and symptoms of vocal discomfort. The more of these factors that are present, the higher the level of affliction or severity of the disorder. The values range from 0 to 108 points, classifying the difficulties as mild, moderate, or severe. This scale has been validated in other countries, testing on both teachers and a healthy population [28,29]. In Chile, it has been validated in a group of teachers, proving to be a rapid, easy-to-use tool that can identify vocal symptoms [30].

Maslach Burnout Inventory (MBI)

This is the most frequently used tool to measure burnout syndrome in teachers and service staff. It comprises 22 questions in the form of statements about teachers’ feelings and attitudes in their daily work with students. High exhaustion scores, high cynicism scores, and low scores of professional efficacy are indicators of burnout. This tool has been validated in Chile [31], showing high consistency and reliability close to 90% [32].

Praat software version 6.1.08

This software is used for the acoustic analysis of the voice, processing the quantitative data of the voice, manipulating the audio signals, and observing the emission parameters of the voice [33].

The measurements in the voice samples were done with the participants’ mobile devices, given the impossibility of assessing them in a laboratory during the pandemic. In this sense, some studies have shown highly favorable results using this methodology [34,35].

To avoid changes in the intrasubject voice samples as a result of the cell phone used, it was confirmed that the recordings at the beginning and end of the year were done on the same device, details of which are in Table 1.

Table 1 Mobile devices used by the participants. 

Subject Brand mobile device Subject Brand mobile device
1 Huawei P30 10 Motorola E30
2 Samsung Galaxy J6 11 IPhone Xs
3 iPhone 11 12 iPhone 8 plus
4 Huawei P30 13 Motorola G20
5 Huawei Y9s 14 Xiaomi Redmi note 11
6 LG K42 15 iPhone 12
7 Huawei P40 16 Samsung Galaxy A32
8 Samsung Galaxy A53 17 Motorola G31
9 Samsung Galaxy A32 18 Samsung S20

Procedure

The study was approved by the South Araucanía Health Service Ethics Committee (Temuco, Chile), Exempt resolution Nº 15871, respecting all the bioethics principles for research with human beings. After approval, the principals of the three schools were contacted, presented with the study, and their permission was sought to work with their teachers. For the signature of the informed consent, using the online Zoom platform, the consent was read aloud, any questions were answered, and then they were asked if they agreed to participate voluntarily. In addition, the document was sent, which they had to return signed to the principal investigator’s email. Then, an evaluation took place at the beginning of classes in April 2021 and another at the end of classes in December of the same year. To take the voice samples, a recording manual was created exclusively for this study, which was reviewed by two speech therapists with experience in the area of voice and external to the study. To measure the noise of the place in which the recording was made, the “Sound Meter” application was downloaded, and it was explained that it was important to be in a comfortable place, ideally carpeted and far from exposure to the street, trying not to be interrupted during the process, and with a noise level below 40 dB [36]. Later, when recording, the “Audio Recorder” application was used, making sure to record in wav format (see Annex).

The cell phone had to be 10 cm from the mouth [36-37], and requested samples were: 1) sustained emission of an /a/ vowel at a relaxed tone and intensity for 6 seconds [36,38,39]; 2) numerical count from 1 to ten at a relaxed tone and intensity; 3) reading from the text “The Grandfather” at a relaxed tone and intensity for 1 minute.

After this, the VTD, VHI, and MBI were applied online through the ZOOM® platform due to the pandemic.

For the analysis of the voice samples, the recordings were transferred to wav format, sent by the participants to the principal investigator’s personal computer, for analysis with the Praat software. The acoustic variables F0 (hz), Jitter rap (%), Shimmer apq11 (%), and HNR (dB) were included, extracted from a segment of recording of the sustained emission of the /a/ vowel, preferably not including the beginning and end of the recording. In addition, the variable Alpha ratio was obtained from the emission of the text “The Grandfather”.

Plan of analysis

For the statistical analysis, the data were input into the IBM statistics package SPSS version 23. An exploratory analysis was performed using the Shapiro-Wilk test to find the distribution of the study variables. In relation to the descriptive analysis, medians and standard deviations were obtained. X2 and Wilcoxon were used to verify the hypothesis, accepting the hypothesis with p < 0.05.

Results

Table 2 describes the sample around the conditions of teleworking with respect to the space and time used in the performance of their job.

Table 2 Description of the teleworking conditions in terms of space and time used in their work activity in 2021. 

Categories Frequency Percentage
Workplace Desk in isolated room 3 16.7%
Desk in bedroom 4 22.2%
Desk in living room 7 38.9%
No desk; uses dining room or other room in the house| 4 22.2%
Total 18 100%
Children cared for during the workday Small children to care for during the workday 10 55.6%
No children to care for 8 44.4
Total 18 100%
Direct classroom hours 15 3 16.7%
20 3 16.7%
22 2 11.1%
25 1 5.6%
30 7 38.9%
32 1 5.6%
35 1 5.6%
Total 18 100%

When comparing the vocal discomfort at the beginning and end of the school year, it is noted that both p values are statistically significant for the application of the VHI (p = 0.002) and the VTD (p = 0.004), which demonstrates an increase in the sensations and symptoms of self-perceived vocal discomfort between the two periods of time (see Table 3).

Table 3 Comparison of vocal tract discomfort at the beginning and end of the school year 2021 

Beginning: End Chi2 Value P
Mi Mo S Total Mi Mo S Total
VHI 15 3 0 19 11 5 2 18 12.240 0.002
VTD 11 7 0 19 2 11 5 18 11.115 0.004

Note: Mi: mild, Mo: moderate, S: severe

With respect to the raw scores of vocal tract discomfort at the beginning and end of the school year, 39% of the teachers increased their discomfort, 22% had the same discomfort, and 39% reduced it (see Figure 1).

Figure 1 Comparison of the VHI scores at the beginning and end of the year. 

Table 4 compares occupational stress levels at the beginning and end of the year. For the dimension emotional exhaustion, there is a significant p value (p < 0.001) for the beginning and end comparison, with high values in both measurements. Among the participants manifesting severe exhaustion, there was a decrease from 10 to 9 teachers between the beginning and end of the year. However, there was an increase in the perception of exhaustion, a moderate increase from 3 to 5 teachers who showed that level in the course of the school year. In relation to the dimension of depersonalization, a nonsignificant p value (p = 0.803) reveals no variations between the beginning and end of the year, with 18 teachers remaining on the mild level. The personal accomplishment subscale shows that the values in both time measurements remain steady (high level), so the probability of chi2 cannot be determined. It must be emphasized that the high scores in this item indicate that the teachers maintain a positive attitude towards themselves and their work, observing that all teachers hold a high level at both the beginning and end of the school year.

Table 4 Level of stress at the beginning and end of the school year 2021 

Beginning End Chi2 Value P
Burnout (emotional exhaustion) Mi Mo S Total Mi Mo S Total
6 2 10 18 5 4 9 18 23.400 < 0.001
Burnout Depersonalization 17 1 0 18 17 1 0 19 0.062 0.803
Burnout (personal accomplishment) 18 18 18 18 -- --
Note: Burnout (personal accomplishment) the “severe” score is considered a high level of personal accomplishment. Mi: mild, Mo: moderate, S: severe.

Note: Burnout (personal accomplishment) the “severe” score is considered a high level of personal accomplishment. Mi: mild, Mo: moderate, S: severe.

When seeking to establish an association between the number of hours of synchronous classes and the level of initial and final stress in the different burnout dimensions, the number of class hours in this study was not associated with the stress level that elementary teachers experience (see Table 5)

Table 5 Association between the number of synchronous hours and stress level. 

Class hours IBEE IBD IBPD FBEE FBD FBPD
Correlation coefficient 1.000 .107 -.148 -.124 .105 -.371 -.198
Sig. (bilateral) .663 .546 .612 .667 .118 .416
N 19 19 19 19 19 19 19

Note. IBEE: Initial Burnout Emotional Exhaustion; IBD: Initial Burnout Depersonalization; IBPD: Initial Burnout Personal Depersonalization; FBEE: Final Burnout Emotional Exhaustion; FBD: Final Burnout Depersonalization; FBPD: Final Burnout Personal Depersonalization.

Finally, to compare the acoustic parameters, 3 participants were excluded due to the lack of the final measurement to make the comparison, resulting in a sample size of 15. Nonsignificant p values for the five beginning-end relations of the parameters: F0 (hz), Jitter rap (%), Shimmer apq11(%), HNR (db) and Alpha ratio. These results indicate that the teachers did not present significant vocal variations to the objective voice evaluation between the beginning and end of the school year (Table 6).

Table 6 Comparison of the acoustic parameters obtained at the beginning and end of the school year 2021. 

F0 (hz) beginning - F0 (hz) End Jitter rap(%)beginning - Jitter rap(%)End Shimm er apq11(%) beginning - Shimmer apq11 (%) end HNR(db) beginning - HNR end Alpha ratio beginning - Alpha ratio end
Z -0.283 -0.157 -0.847 -0.596 -1.475
Value P 0.777 0.875 0.397 0.551 0.140

Discussion

The aim of the study was to describe teleworking conditions with respect to the context, evaluate stress, and how these could affect the vocal quality of teachers working from home in Temuco.

The sample was comprised exclusively of women, which was within our objective, apart from which nationally, there are more women dedicated to teaching [40]. In addition, other studies [7,41] indicate a greater prevalence of symptoms and voice disorders in this group. In this sense, the hypothesis has been posited that women are more susceptible to voice disorders because their vocal folds are shorter and their fundamental frequency is more acute, with a smaller amount of tissue to cushion the greater number of vibrations [42]. At the same time, women have less hyaluronic acid at the molecular level, a substance fundamental to tissue repair [43].

With respect to the working conditions in which teachers performed during their teleworking day, they all worked from home, so they needed a computer with a camera, microphone, and Internet connection. 79% did not have a suitable physical space. A study in 2010 observed that the combination of telework with a family, household responsibilities, and personal occupations triggers great stress in the worker [44]. In our study, 52.6% of the teachers reported they had to care for minor children at the same time they were working remotely, being associated with a gender and cultural factor, as some authors express [45] because the care of the children and domestic work are mainly female tasks. As for direct classroom hours, these ranged between 15 and 35 hours weekly. However, they all showed that they had no delimited schedules, since there were also work meetings and parent meetings, which increased the weekly vocal load with the resulting wear and tear and fatigue of tissues [10]. In this regard, studies indicate that having largely unlimited schedules increases the sedentary lifestyle, which, added to poor eating can generate gastroesophageal reflux, which often does not present symptoms, but damages the vocal folds in any case [46].

In that sense, a study on teachers before and during the pandemic indicates a lack of defined limits between personal and work time, making it necessary to establish limits between working from home and family life [23].

In relation to the stress level, in our study, the teachers did not present burnout syndrome, but they maintained high levels of stress at the beginning and end of the school year, mainly in the dimension emotional exhaustion, which refers to a high work overload. This is consistent with the literature that indicates high levels of psychological stress among teachers [47]. However, the effect of the pandemic likely worsened this situation, as some authors suggest, because a high mental overload and time pressure arise due to a lack of scheduling boundaries [48]. Another important factor affecting the increase in psychological stress is that many of the teachers indicate a lack of knowledge about using ICTs, causing worry and anxiety when working from home [23].

In the perceptive assessment that the teachers made of their voice, there were significant changes in terms of the increase in vocal discomfort and self-perceived symptoms. The symptoms that most increased when comparing the beginning and end of the school year were dryness and vocal fatigue. Throat dryness is one of the most common symptoms in teachers. Our results are consistent with similar studies, demonstrating this symptom as one of the most reported by teachers during the pandemic [21,24,49]. This could be attributed to poor hydration, allergies, inadequate eating, and teachers not knowing self-care measures for the voice and stress [24,49,50]. In relation to vocal fatigue, some authors note that during the pandemic, fatigue increased, often moving from mild to severe vocal fatigue [51,52]. Vocal symptoms are considered a good correlate of voice disorder in voice professionals, expressing their severity and functional impact [53]. Symptoms such as dryness, itchiness, burning, and irritation are attributable to inflammatory changes and/or changes in the larynx tissue. By contrast, symptoms of tightness, pain, and sensation of “something in your throat” are related to the increase in muscle tension in the vocal tract found in functional dysphonia [54]. In this sense, the questionnaires and vocal self-perception scales are useful tools in diagnosing vocal problems by enabling an approach to the levels of etiological load, detecting vocal symptoms, and even measuring the impact of dysphonia on patients’ quality of life [55,56].

A possible hypothesis to explain the increase in vocal symptoms is the predominant role that stress could be exerting by generating greater tension in the muscles and changes in the tone and intensity of the voice, which in the long run generates overexertion and vocal fatigue [49].

Physiologically, as the stress levels in the body increase, so do the levels of cortisol, and this has multiple neuromuscular effects [20], emphasizing a constant alert status in the brain, preventing body relaxation; little secretion of saliva, producing mouth dryness; an increase in gastric juices, generating gastroesophageal reflux; at muscular level, there is stiffness particularly in the neck, restricting tongue movement, with greater laryngeal elevation due to the consequent increase in vocal fatigue and overexertion [50]. On the other hand, the increase in vocal symptoms is associated with an increase in vocal disability perceived by the teachers. These results reveal a comparison between subjective voice problems and the VHI score, which is consistent with other studies [14,57].

With respect to the results obtained when comparing the acoustic parameters, these show that they are within normal ranges, with no significant differences between the beginning and end of the year, objectively demonstrating an absence of dysphonia in the teachers. However, the obtained results must be considered with caution, taking into account the small sample size, but among the possible hypotheses is that the indices of disturbance and noise (jitter, shimmer, and HNR) were calculated from the emission of a sustained vocalization, which is not a representative sample of a person’s voice. On the other hand, the recordings were made by the participants themselves in their homes, which can also cause certain biases. However, due to the pandemic and social distancing, taking the samples in a voice laboratory was impossible.

The literature indicates that vocal overload, added to other factors, such as stress and detrimental habits (smoking, poor hydration, inadequate eating, sedentary life), increases the risk of voice disorders, beginning with an increase in self-perceived disagreeable sensations (clearing the throat, overexertion, dryness), inadequate functional adaptations (mainly hyperfunctional) and in some cases structural laryngeal injuries of functional origin [58]. Therefore, we could suppose that if the current conditions are maintained, the teachers could trigger a functional voice disorder or some type of structural injury to the vocal folds in the future. By virtue of all this, it becomes necessary to implement some preventive work with the teachers in terms of self-care measures and to equip them with specific vocal techniques according to this way of working in order to preserve their teaching work and occupation and social well-being [58].

Our investigation has evident limitations related to the sample size and the selection criterion due to the difficulties imposed by the COVID-19 pandemic, which prevented greater participation due to the teachers’ difficulty in managing ICTs. Moreover, the recording conditions for the acoustic analysis were not optimal, since, as a result of quarantine during the pandemic, it was not possible to make the voice recordings in a laboratory with all the required conditions, which could have altered the results, being a possible factor to consider as to why the differences were not significant. Although there are some studies on the matter in which cell phones have been used for recording, the evidence is still insufficient, but we believe our study is a contribution to continue advancing in this line. Another limitation could be that the sample comprises only women due to the low availability of male elementary teachers. However, this study has a strength in its longitudinal panel design, making it possible to compare the evaluated parameters at both the beginning and end of the school year with the same participants.

Conclusions

The present study offers an idea of the impact on the voice after remote classes in teachers in Temuco, Chile. Although the acoustic conditions were better working this way, because the teachers are alone in a room and only have contact with the students through a computer, it is worth noting that despite having healthy voices, a large percentage indicated an increase in discomfort and self-perceived vocal symptoms (throat dryness, vocal fatigue) with a greater level of stress, which over time can trigger a voice disorder. This underscores the importance of implementing training and prevention programs as well as preventive examinations for the early detection of these symptoms, particularly in elementary teachers, which is one of the groups with the greatest prevalence of symptoms and voice disorders and which, in addition, is exposed to a greater stress level inherent to their profession, which could have increased due to this new way of working. On the other hand, greater regulation from the Ministry of Labor is needed to define work schedules and conditions to avoid mental and physical overload, which means making the working area compatible with activities in the home so that the increase in stress with the possible influence that this can have on voice disorders can be avoided.

References

1. Morawska J, Niebudek E. Risk factors and prevalence of voice disorders in different occupational gropus. A review of literature. Otorynolaryngologia [Internet]. 2017;16(3):94-102. Disponible en: http://www.otorynolaryngologia-pk.pl/f/file/orl-17-3-a3-morawska.pdfLinks ]

2. Gavica W, Miño, G, Escobar K, Arias, C. Percepción de la perturbación de la voz en docentes de cinco instituciones educativas de un distrito de la ciudad de Guayaquil. 2020. III Jornadas Internacionales de investigación científica UTN [Internet]. Disponible en: https://tinyurl.com/2jx2tg5rLinks ]

3. Gassull C, Godall P, Martorell M. La educación de la voz y la salud vocal en la formación de los maestros. Revista Electrónica de LEEME [Internet]. 2000;(5):1-5. Disponible en: https://ojs.uv.es/index.php/LEEME/article/view/9691Links ]

4. Agostini M., Barlatey, C., Barlatey M, ArcaFabre, A. Prevalencia de disfonías funcionales en docentes argentinos. Aten Fam [Internet]. 2013 July;20(3):81-85. doi: https://doi.org/10.1016/S1405-8871(16)30097-9Links ]

5. Moreira M, Maffei S, Durán A, Nesello F, Eumann A. Frequência de problemas vocais autorreferidos e fatores ocupacionais associados em profesores da educação básica de Londrina, Paraná, Brasil. Cad Saúde [Internet]. 2016 Jan;32:e00026015. doi: https://doi.org/10.1590/0102-311X00026015Links ]

6. Preciado J, Pérez C, Calzada M, Preciado P. Incidencia y prevalencia de los trastornos de la voz en el personal docente de la Rioja. Acta Otorrinolaringol Esp [Internet]. 2005 May;56(5):202-210. doi: https://doi.org/10.1016/S0001-6519(05)78601-5Links ]

7. Castillo A, Casanova C, Valenzuela D, Castañon S. Prevalencia de disfonía en profesores de colegios de la comuna de Santiago y factores de riesgo asociados. Cienc Trab [Internet]. 2015 Apr;17(52):15-21. doi: http://dx.doi.org/10.4067/S0718-24492015000100004Links ]

8. Cerda F. Disfonía ocupacional: prevenciones para cuidar las cuerdas vocales en el trabajo. Dínamo [Internet]. 2016 Nov 16. Disponible en: https://tinyurl.com/2e6al7fpLinks ]

9. Mora K, Clavijo F, Galdames S, Maya C, Soto V. Contexto ocupacional, abuso y mal uso vocal en profesores de la ciudad de Iquique. Cienc Trab [Internet]. 2018 Aug;20(62):116-120. doi: http://dx.doi.org/10.4067/S0718-24492018000200116Links ]

10. Fuentes C. La carga vocal. 1ª ed. Córdova: Brujas; 2018. [ Links ]

11. Farías P. La disfonía ocupacional. 1ª ed. Buenos Aires: Akadia; 2012. [ Links ]

12. Carrillo A, Atará A. Vocal health and stress: the occupational voice users` perspective during the Covid-19 pandemic. Revista de Investigación e Innovación en Ciencias de la Salud [Internet]. 2020 dic 28;2(2):102-110. doi: https://doi.org/10.46634/riics.38Links ]

13. Elige Educar. Situación de docentes y educadores en contexto de pandemia, reporte de resultados [Internet]. 2020 Mayo 19. Disponible en: https://tinyurl.com/2ec22lfxLinks ]

14. Patjas M, Vertanen H, Pietarinen P, Geneid A. Voice symptoms in teachers during distance teaching: a survey during the Covid-19 pandemic in Finland. Eur Arch Otorhinolaryngol [Internet]. 2021 July 04;278(11):4383-4390. doi: https://doi.org/10.1007/s00405-021-06960-wLinks ]

15. Besser A, Lotem S, Zeigler V. Psychological stress and vocal symptoms among university professors in Israel: Implications of the shift to online synchronous teaching during the Covid-19 pandemic. Journal of voice [Internet]. 2020 june 05;36(2):291.e9-291.e16. doi: https://doi.org/10.1016/j.jvoice.2020.05.028Links ]

16. Lorig T. The Respiratory System. In: Cacioppo JT, Tassinary LG, Berntson GG, editors. Handbook of Psychophysiology. 4th ed. Cambridge: Cambridge University Press; 2016. p. 244-57. [ Links ]

17. López M, Medina V. Efecto de la expresión de emociones básicas sobre los parámetros acústicos y los formantes vocálicos en profesionales de la voz de la ciudad de Concepción, Chile. [Tesis de pregrado] Concepción: Universidad del Desarrollo [Internet], 2016. Disponible en: https://tinyurl.com/2ncgt4guLinks ]

18. Taguchi T, Tachikawa H, Nemoto K, Suzuki M, Nagano T, Tachibana R, Nishimura M, Arai T. Major depressive disorder discrimination using vocal acoustic features. Journal of affective disorders [internet]. 2018 January 1;225:214-220. doi: https://doi.org/10.1016/j.jad.2017.08.038Links ]

19. Scherer K, Zei B. Vocal Indicators of Affective Disorders. Psychother Psychosom [Internet]. 1988;49(3-4):179-186. doi: https://doi.org/10.1159/000288082Links ]

20. Kirchhübel C, Howard D, Stedmon A. Acoustic correlates of speech when under stress: research, methods and future directions. International Journal of Speech Language and the Law [Internet]. 2011 September 13;18(1):75-98. doi: https://doi.org/10.1558/ijsll.v18i1.75Links ]

21. Ferreira A, Giannini S, de Oliveira I, Paparelli R, Dornelas R, Ferreira L. Voice disorder and burnout syndrome. Journal of the voice [Internet]. 2019 July 01;33(4):581.e7-581.e16. doi: https://doi.org/10.1016/j.jvoice.2018.01.022Links ]

22. Oakman J, Kinsman N, Stuckey R, Graham M, Weale V. A rapid review of mental and physical health effects of working at home: how do we optimize health? BMC Public Health [Internet]. 2020 november 30;20:1825. doi: https://doi.org/10.1186/s12889-020-09875-zLinks ]

23. Barrera L, Casas M, Lizarralde A. Manual de prevención de riesgos psicosociales en teletrabajadores. [Tesis de grado] Universidad Católica de Colombia [Internet], 2019. Disponible en: https://tinyurl.com/2fjf575xLinks ]

24. Rovere A. Percepción de trastornos de la voz y burnout durante teletrabajo en un grupo de docentes universitarios de la ciudad de Quito. [Tesis de maestría] Universidad Internacional SEK [Internet], 2021. Disponible en: https://repositorio.uisek.edu.ec/handle/123456789/4333Links ]

25. Farías, P. Guía Clínica para el Especialista en Laringe y Voz. 1ª ed: Buenos Aires Akadia; 2016. [ Links ]

26. Núñez F, Corte P, Señaris B, Llorente J, Górriz C, Suarez C. Adaptación y validación del índice de incapacidad vocal (VHI 30) y su versión abreviada (VHI 10) al español. Acta Otorrinolaringológica España [Internet]. 2007 November;58(9):386-392. doi: https://doi.org/10.1016/S0001-6519(07)74954-3Links ]

27. Centeno D, Penna M. Caracterización de los pacientes con disfonía evaluados en la unidad de voz pediátrica del Hospital Dr. Luis Calvo Mackenna. Revista de Otorrinolaringología y cirugía de cabeza y cuello [Internet]. 2019 Mar;79:18-24. doi: http://dx.doi.org/10.4067/S0718-48162019000100018Links ]

28. Troncoso I. Influencia de la percepción de la incapacidad vocal y de la autoeficacia de profesionales de la voz en la participación de un programa preventivo vocal en la Provincia de Concepción. J. health med. Sci [Internet]. 2018;4(2):101-108. Disponible en: https://revistas.uta.cl/pdf/170/johamsc-42-101-108-2018.pdfLinks ]

29. Woźnicka E, Niebudek E, Wiktorowicz J, Sliwińska M. Comparison of vocal tract discomfort scale results with objective and instrumental phoniatric parameters among teacher rehabilitees from voice disorders. Medycyna Pracy [Internet]. 2013 March;64(2):199-206. doi: https://doi.org/10.13075/mp.5893/2013/0016Links ]

30. Cerda F, Jara G, Bittner V, Riffo C, Saballa F, Galgano G. Estudio preliminar para la validación de la versión Chilena del Vocal Tract Discomfort-VTD en población docente. Revista Chilena de Fonoaudiología [Internet]. 2023 January;22(1):1-9. doi: https://doi.org/10.5354/0719-4692.2023.67497Links ]

31. Olivares V, Mena L, Macía F, Jélvez C. Validez factorial del Maslach Burnout Inventory Human Services (MBI-HSS) en profesionales chilenos. Universitas Psychologica [Internet]. 2014 abr 20;13:145-159. doi: https://doi.org/10.11144/Javeriana.UPSY13-1.vfmbLinks ]

32. Zuniga S, Pizarro V. Mediciones de estrés laboral en docentes de un colegio público regional chileno. Inf Tecnol [Internet]. 2018 Feb;29:171-180. doi: http://dx.doi.org/10.4067/S0718-07642018000100171Links ]

33. Núñez F, González R, Peláez M, González I, Fernández M, Morato M. Acoustic voice analysis using the Praat program: comparative study with the Dr. Speech program. Acta Otorrinolaringológica [Internet]. 2014 June; 65(3):170-176. doi: https://doi.org/10.1016/j.otoeng.2014.05.007Links ]

34. Grillo E, Brosious J, Sorrell S, Anand S. Influence of smartphones and software on acoustic voice measures. International Journal of Telerehabilitation [Internet]. 2016 December 15;15(8):9-14. doi: https://doi.org/10.5195/ijt.2016.6202Links ]

35. Maryn Y, Ysenbaert F, Zarowski A, Vanspauwen R. Mobile communication devices, ambient noise, and acoustic voice measures. Journal of Voice [Internet]. 2017 September 27;31(2):248e11-248e23. doi: https://doi.org/10.1016/j.jvoice.2016.07.023Links ]

36. Patel R, Awan S, Barkmeier J, Courey M, Deliyski D, Eadie T, Paul D, Svec J, Hillman R. Recommended Protocols for Instrumental Assesment of voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assesment of Vocal Function. American Journal of Speech-Language Pathology [Internet]. 2018 Aug 06;27:887-905. doi: https://doi.org/10.1044/2018_AJSLP-17-0009Links ]

37. Uloza V, Padervinskis E, Vegiene A, Pribuisiene R, Saferis V, Vaiciukynas E, Gelzinis A, Verikas A. Exploring the feasibility of smart phone microphone for measurement of acoustic voice parameters and voice pathology screening. European Archives of Oto-Rhino-Laryngology [Internet]. 2015 July 11;272(11),3391-3399. doi: https://doi.org/10.1007/s00405-015-3708-4Links ]

38. Vogel A, Rosen K, Morgan A, Reilly S. Comparability of modern recording devices for speech analysis: smartphone, landline, laptop, and hard disc recorder. Folia Phoniatrica et Logopaedica [Internet]. 2014 April;66(6):244-250. doi: https://doi.org/10.1159/000368227Links ]

39. Farías P. Guía Clínica para el especialista de laringe y voz. 1ªed. Buenos Aires: Akadia; 2016. [ Links ]

40. Centro de Perfeccionamiento, Experimentación e Investigaciones Pedagógicas. Mujeres en Pedagogía [Internet]. 2020. Disponible en: https://www.cpeip.cl/mujeres-en-pedagogia/Links ]

41. Assunção A, Bassi I, Medeiros A, de Souza C, Gama A. Occupational and individual risk factors for dysphonia in teachers. Occup Med [Internet]. 2012 September 27;62(7):553-9. doi: https://doi.org/10.1093/occmed/kqs145Links ]

42. Farías P. Estudio retrospectivo para describir la prevalencia del hiatus longitudinal y su relación con la patología orgánica en pacientes adultos con disfonía. [Tesis de maestría] Instituto Universitario y Hospital Italiano de Buenos Aires [Internet]. 2021. Disponible en: https://tinyurl.com/2nmupkhpLinks ]

43. Hammond T, Zhou R, Hammond E, Pawlak A, Gray S. The intermediate layer: a morphologic study of the elastin and hyaluronic acid constituents of normal human vocal folds. Journal of Voice [Internet]. 1997 March;11:59-66. doi: https://doi.org/10.1016/S0892-1997(97)80024-0Links ]

44. Pérez C. El teletrabajo: ¿Más libertad o una nueva forma de esclavitud para los trabajadores?. Revista de internet, derecho y política [Internet]. 2010 December;11:24-33. Disponible en: https://raco.cat/index.php/IDP/article/view/225853Links ]

45. Sánchez C, Mozo A. Teletrabajo y vida cotidiana: ventajas y dificultades para la conciliación de la vida laboral, personal y familiar. Athenea Digital [Internet]. 2009;15:57-79. Disponible en: https://raco.cat/index.php/Athenea/article/view/130689Links ]

46. Mateos P. Estrés, alimentación y malos hábitos que dañan la voz. Los Andes [Internet]. 2017 Abril 17. Disponible en: https://tinyurl.com/2ejrpefgLinks ]

47. Ayuso J. Profesión docente y estrés laboral: una aproximación a los conceptos de Estrés Laboral y Burnout. Revista Iberoamericana De Educación [Internet]. 2006 July 10;39(3),1-15. doi: https://doi.org/10.35362/rie3932575Links ]

48. García M, Torrano F, García G. Analysis of stress factors for female professors at online universities. International Journal of Environmental Research and Public Health [Internet]. 2020 April 24;17(8):2958. doi: https://doi.org/10.3390/ijerph17082958Links ]

49. Nemr K, Simoes M, Cássia V, Amaral G, Tiemi I. Covid-19 and the teacher´s voice: self-perception and contributions of speech therapy to voice and communication during the pandemic. Clinics [Internet]. 2021;26;76:e2641. doi: http://dx.doi.org/10.6061/clinics/2021/e2641Links ]

50. Barrio J, García M, Ruiz I, Arce A. El estrés como respuesta. International Journal of Developmental and Educational Psychology [Internet]. 2006;1:37-48. Disponible en: https://www.redalyc.org/articulo.oa?id=349832311003Links ]

51. Tenorio M, Medina R. Análisis comparativo de la fatiga laboral antes y durante la pandemia covid-19 en docentes de las unidades educativas fiscales de la ciudad de Cuenca. [Tesis de Grado]. Universidad del Azuay, Ecuador [Internet]. 2020. Disponible en: http://dspace.uazuay.edu.ec/handle/datos/10419Links ]

52. Flores J, Torres R. Evaluación de la fatiga laboral por teletrabajo del personal docente de la unidad educativa Carlos Freile Zaldumbide ante la emergencia sanitaria del COVID-19. [Tesis de grado] Universidad SEK, Ecuador [Internet]. 2020. Disponible en: http://repositorio.uisek.edu.ec/handle/123456789/3855Links ]

53. Cobeta I, Núñez F, Fernández S. Patología de la voz. Madrid: Marge Médica Books; 2013. [ Links ]

54. Mathieson L, Hirani S, Epstein R, Baken J, Wood G, Rubin J. Laryngeal manual therapy: A preliminary study to examine its effects in the management of muscle tension dysphonia. J Voice [Internet]. 2007 Nov;23(3):353-366. doi: https://doi.org/10.1016/j.jvoice.2007.10.002Links ]

55. Koojiman P, Thomas G, Graamans K, Jong F. Psychosocial impact of the teacher´s voice throughout the career. J Voice [Internet]. 2007 March; 21(3):316-324. doi: https://doi.org/10.1016/j.jvoice.2005.12.007Links ]

56. Vila-Rovira J, Valero J, González L. Indicadores fonorrespiratorios de normalidad y patología en la clínica vocal. Revista de investigación en Logopedia [Internet]. 2011 Apr;1:35-55. doi: https://doi.org/10.5209/rlog.58706Links ]

57. Rantala L, Hakala S, Holmqvist E. Connections between voice ergonomic risk factors and voice symptoms, voice handicap and respiratory tract diseases. Journal of Voice [Internet]. 2012 Nov;26(6):P819.E13-819.E20. doi: https://doi.org/10.1016/j.jvoice.2012.06.001Links ]

58. Castejón L. Prevención de disfonías funcionales en el profesorado universitario: tres niveles de acción preventiva. Aula abierta [internet]. 2014 June;42:9-14. doi: https://doi.org/10.1016/S0210-2773(14)70002-2Links ]

Cite like this: Jara Cabrera, Gerson; Figueroa Saavedra, Carla; Medina Valdebenito, Damián; Cerda Sandoval, Felipe (2023). Vocal Repercussions after Occupational Voice Use and Stress in Primary School Teachers under the Teleworking Modality in Temuco City. A Pilot Study. Revista de Investigación e Innovación en Ciencias de la Salud. 5(1), 6-28. https://doi.org/10.46634/riics.176

Editor: Fraidy-Alonso Alzate-Pamplona, MSc., https://orcid.org/0000-0002-6342-3444

Copyright: © 2023. Fundación Universitaria María Cano. La Revista de Investigación e Innovación en Ciencias de la Salud provides open access to the entirety of its contents under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

Declaration of interest: The authors declare they have no conflicts of interest.

Data availability: All the relevant data are in the article. For further information, contact the corresponding author.

Funding: None. This study did not receive specific subsidies from public, commercial, or non-profit financing agencies.

Disclaimer: The content of this article is the exclusive responsibility of the authors. It does not represent an official opinion of their institutions or the Revista de Investigación e Innovación en Ciencias de la Salud.

Contribution of the authors:

Gerson Jara Cabrera: conceptualization, data curation, formal analysis, research, methodology, project management, resources, software, supervision, validation, visualization, writing: original draft, writing: revision and editing.

Carla Figueroa Saavedra: conceptualization, data curation, formal analysis, methodology, software, validation, visualization, writing: original draft, writing: revision and editing.

Damián Medina Valdebenito: data curation, research, software, validation, writing: original draft, writing: revision and editing.

Felipe Cerda Sandoval: data curation, research, methodology, software, validation, visualization, writing: original draft, writing: revision and editing.

Annex

Recording instructions

In the following document, you will find all the steps to follow to record your voice in the most optimal way. We ask that you be rigorous in following these steps, since any interference, external noise, etc., could affect the quality of the results. We are grateful for your participation in this process.

Previous steps

- Download the “Sound Meter” application by clicking on the following link: https://play.google.com/store/apps/details?id=com.splendapps.decibel&hl=es_419&gl=US. This application measures the amount of noise in the environment, since having a lot of noise when recording will alter the recording of your voice. Therefore, when you open the application before recording, it is important for the noise not to exceed 40 db.

- Also download the “Audio Recorder” application by clicking on the following link: https://play.google.com/store/apps/details?id=com.dema121.audiorecorder&hl=es_419&gl=US. This application will record your voice

Step 1: Use the “Sound Meter” application to measure the noise in the place where you will make the recording. This needs to be a comfortable place, ideally carpeted and far from exposure to the street, where you will not be interrupted during the process. Make sure the numbers indicated in the application are below 40dB (see Figure 2).

Figure 2 Sound meter. 

Step 2: Now open the “Audio Recorder” application to record your voice. When you open it, the application will ask you for access to your files, which you must accept.

Step 3: Then, you click the + icon to record your voice (see Figure 3).

Figure 3 Audio Recorder. 

Step 4: To record your voice, the application must be configured by moving the arrow down next to “Record name” and where it says “Format” click again, and several options will appear. You must select the one that says “WAV - No compression” (see Figure 4).

Figure 4 Audio Recorder: configuration for voice recording. 

Step 5: Press the microphone icon to begin the recording and press outside the microphone to stop the recording (see Figure 5).

Figure 5 Audio recorder: voice recording. 

Step 6: To record, you must have your cell phone 10 cm from your mouth. Respecting this distance is important so the recording truly reflects what happens in your vocal folds. The following details how the cell phone must be placed when recording (see Figure 6).

Figure 6 Position of the cell phone when recording the voice. 

With the recording application open, point the lower inferior of the telephone towards your mouth. Most Android devices have the microphone in the lower part. Make sure that your hands do not cover the microphone when it records. Then, with the index finger of your other hand, press the record button.

Step 7: You must record your voice by producing an “a” vowel in your normal tone and volume, which is done in a comfortable voice without shouting or whispering. It will last as long as your breath without forcing. Make two recordings of “a”.

Step 8: You must record your voice counting the numbers from one to ten (in Spanish) at a relaxed tone and intensity, without shouting or whispering. Make 2 recordings of the number count.

Step 9: Finally, you must record your reading voice by reading the text “The Grandfather”, which is in the Annex at the end of this manual. You must read it twice in a row without stopping the recording, so the duration of the recording is approximately one minute. The reading must be done using a relaxed tone and intensity without forcing your voice or whispering. You must only make one recording. (The text is attached at the end)

It would be best if you recorded the vowels first and then proceeded to the other recordings.

When each recording is stopped, it is automatically saved in the application.

Step 10: Send the three files to gerson.jara@ufrontera.cl, indicating “Voice study” in the subject line and attaching your name. As indicated previously, each recording is automatically saved in the application. Once all the recordings have been completed, a list of them will appear in the application with a star beside as shown in the following image (see Figure 7):

Figure 7 Audio Recorder: list of recordings. 

Press the recording for 3 seconds, and the following icon will appear to share. Click on it, and the option to send will appear. Next, click the icon where the envelope icon appears that says Gmail, place the email gerson.jara@ufrontera.cl, and finally send (see Figure 8). You must perform this procedure with each recording made.

Figure 8 Audio recorder: sending recordings. 

Reading “The Grandfather”

You want to know about my grandfather. Well, he is almost ninety-three years old and still thinks as clearly as always. He dresses himself and puts on his old black jacket, which is usually missing several buttons.

He has a long, hanging beard inspiring a deep feeling of respect in those who see it. When he speaks, his voice seems a little broken and trembly.

Twice a day, he enjoys skillfully playing a small organ.

Every day, Grandfather takes a short stroll, except in the winter when it rains, or the cold prevents him.

Received: December 26, 2022; Revised: March 13, 2023; Accepted: March 30, 2023

*Correspondence: Gerson Jara Cabrera. Email: gerson.jara@ufrontera.cl

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