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ORIGINAL RESEARCH article

Front. Public Health, 06 May 2024
Sec. Public Mental Health
This article is part of the Research Topic Cognitive and Mental Health Improvement Under- and Post-COVID-19 View all 30 articles

Musculoskeletal disorders and quality of life for Chilean teachers during the COVID-19 pandemic at the academic year-end

  • 1Laboratory of Epidemiology and Morphological Sciences, Instituto de Biología, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
  • 2Programa de Magister en Ciencias Biológicas, Instituto de Biología, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
  • 3Instituto de Ciencias de la Salud, Universidad de O’Higgins, Rancagua, Chile

Introduction: Schoolteachers have reported multiple demands contributing to poor perceptions regarding their quality of life and high rates of musculoskeletal disorders. However, there are few studies about the association between musculoskeletal disorders and quality of life from the end of the academic period during the COVID-19 pandemic.

Objective: Evaluate musculoskeletal disorders rates and their association with quality of life perceptions among teachers from the last academic period during the COVID-19 pandemic.

Participants and methods: A total sample of 161 Chilean schoolteachers was included in a cross-sectional study musculoskeletal disorders prevalence was evaluated using the Standardized Nordic Questionnaire, and quality of life was evaluated through the Short-Form 12 Health Survey Instrument. A logistic regression was applied to evaluate the association between musculoskeletal disorders and quality of life perceptions adjusted by gender, age, and contract type.

Results: 98% of teachers have suffered from some type of musculoskeletal disorders during the last 12 months, and 64% have had six or more painful regions. Women showed a higher musculoskeletal disorders rate than men. The group of teachers with the most musculoskeletal disorders (≥p50) saw significantly greater risk of low scores on the physical (OR: 2.16; p < 0.05) and mental components (OR: 4.86; p < 0.01) of quality of life, regardless of gender, age, and contract type.

Conclusion: High musculoskeletal disorders rates suggest that preventive and informative actions must be taken regarding these disorders in order to protect teachers’ mental and physical health, considering the effects of the school year and the COVID-19 health crisis.

1 Introduction

The arrival of the COVID-19 pandemic in early 2020 led to quarantines and lockdowns for billions of people worldwide (1, 2). Confinement due to COVID-19 generated structural changes for the daily activities of most people (3, 4). In this sense, one job measure adapted worldwide to avoid spreading the SARS-CoV-2 virus was changing from in-person work to remote working in a wide range of job areas (5). The occupational format of remote working combined with COVID-19 confinement has been described as one of the main causes in the rise of occupational stress among working populations in general (6), with reports associating this phenomenon with the presence of musculoskeletal pain and deteriorating quality of life (QoL) with a subsequent impact on public health (7).

Teachers saw their work format severely impacted during the pandemic due to school closures, particularly due to increased work demand, less time for planning in-person tasks and transforming them into online formats, and precarious organizational factors in work (8, 9). In this context, reports during the COVID-19 health crisis indicated that schoolteachers saw significant QoL decreases compared to before the pandemic, due to longer work hours and deteriorated work-family balance (8, 10). Remote working among teachers was also reported as a factor associated with increased burnout, stress, and high emotional demands (11, 12) together with reports of significant mental health deteriorations like higher levels of distress, worsened lifestyle quality, and increased emotional exhaustion (1315). In this regard, pre-pandemic reports indicated high rates of musculoskeletal disorders (MSD) among schoolteachers linked with significant QoL particularly their mental QoL (1618). The evaluation of MSDs in Chilean teachers is of great importance due to the high prevalence of these disorders and their association with a low perception of quality of life (QoL). Reports before the pandemic by COVID-19 indicated that 91% had experienced some MSD in the last 12 months, and 28.86% had had pain in 6 or more body regions. Conversely, teachers without MSDs reported higher QoL scores than those with MSDs. In addition, those teachers with the highest prevalence of MSD (≥p75) showed a significantly increased risk of having low scores on the physical (OR: 2.82) and mental (OR: 2.65) components of the QoL (16). This report suggests that preventive and informative actions regarding MSDs should be taken to protect the mental and physical health of teachers, considering the multiple risk factors to which they are exposed due to their working conditions in Chile and worldwide. Therefore, although there is a substantial body of literature on the impaired mental health of teachers (815), the evaluation of MSDs in teachers needs to be assessed due to their high prevalence and association with QoL (16, 17).

In this sense, due to remote working among teachers during the pandemic, there have been reports of high exposure to job stress and heavy psychosocial demands, which in turn have led to more sedentary behavior and deficient ergonomic practices, as long workdays in front of screens have led to developing various MSD (1922). However, both at the global level and in Chile, there are no reports about the rates of MSD associated with teachers’ QoL in the context of the pandemic and especially during the end of the academic calendar, when teachers report greater time and effort spent on fulfilling the timeframes stipulated by their employers, thereby generating stress increases by up to 20% compared with the first months of the school year (23, 24). In addition, a UNESCO-conducted survey revealed that in Chile, about one-third of teachers work at two or three different schools daily, and nearly 20% have additional employment outside of teaching. These educators often perform extra work-related tasks at home or after hours (25). This perceived workload is highlighted in various studies as a potential health risk factor for Chilean teachers (8, 10, 16, 17, 26). In this regard, there is a research gap on the simultaneous impact of two critical periods that affect teachers’ QoL and MSD, such as the COVID-19 pandemic and the end of the academic year-end. The following research problem focuses on understanding how the COVID-19 pandemic has affected the prevalence of MSD and QoL among Chilean teachers at the end of the last academic year. The pandemic has significantly altered teaching practices, possibly increasing stress and changing teachers’ working conditions, which could influence the prevalence of MSD and their perception of QoL. However, the objective of the present study is to evaluate the prevalence of MSD and the QoL among Chilean school teachers at the end of the last academic school year during the COVID-19 pandemic. Therefore, we hypothesize that if we consider the new working conditions during the end of the school year, coupled with the pandemic context, and taking into account the particularly uncertain health, social, and political context of Chile (2326), teachers will exhibit high prevalences of MSD and a deteriorated QoL, mainly in its mental component.

2 Materials and methods

2.1 Participants

166 teachers responded to the survey, of which six were excluded due to unsatisfactory responses to different instruments (exclusion criterion), leaving a total of 161 participants for analyses. Of these 161 teachers, 79.5% were female. The mean age was 40.2 years (SD ± 11.2 years) (for women 39.7 years and for men 42.5 years). Regarding marital status, 50.3% were married or lived in a steady relationship, 41% were single, and 8.7% were divorced. 62.1% had an indefinite-term contract. Concerning school types, 35.5% of the teachers belonged to public schools, 51.4% to subsidized private schools, and 13.1% to unsubsidized private schools. Finally, 58.4% of the teachers reported having children (see Table 1).

Table 1
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Table 1. Sociodemographic characteristics, prevalence of musculoskeletal disorders and quality of life according to gender and age.

2.2 Procedures

A cross-sectional study was done between the months of November and December 2021, the final month of academic activities among schoolteachers in Chile (27). Snowball sampling was used for data gathering (28) with teachers contacted via social media (Facebook and Instagram) due to the impossibility of physical contact arising from the pandemic. The main criterion for the inclusion of teachers is that they are teaching. Each professor went through the instruments online using the SurveyMonkey platform (SurveyMonkey, San Mateo, CA) with detailed instructions, research objectives, and the researchers’ contacts in case of any doubts. Before taking the surveys, the participants read and signed informed online consent on the same platform, detailing that their participation was totally anonymous, voluntary, and with a confidentiality commitment from the researchers, as well as being totally without remuneration, compensation, or economic incentives in any part of the study. This study was approved by the Ethics Committee at Pontificia Universidad Católica de Valparaíso (BIOEPUCV-H 393–2021).

2.3 Instruments

The descriptive variables gathered included gender, age grouped into two categories (≤44 years and ≥ 45 years) according to the cutoff points used in the Chilean National Health Survey (29), marital status (single, married/cohabitating, divorced/widowed), number of children, school-age children, type of school where they taught by funding category (public, private, charter) (30) and contract type (fixed term or indefinite). The dependent variable was QoL, and the independent variable was the presence of MSD.

QoL perceptions were evaluated with the Short-Form 12 Health Survey (SF-12), validated for the Chilean population (31). The survey consists of 12 Likert-type personal appreciation questions grouped into two summary measurements: the Physical Health Component (PHC) and the Mental Health Component (MHC). Participants’ scores for each scale and summary measurement were transformed into a 0–100 scale, followed by calculating a z-score and t-score value for PHC and MHC using internationally standardized methods (32, 33). Values above T-Score 50 indicated good QoL perceptions, while scores below T-Score 50 indicated poor QoL perceptions.

For MSD evaluation, we used the Standardized Nordic Questionnaire for Musculoskeletal Symptoms, validated for the Chilean population (34) and previously used among Chilean schoolteachers (16, 17). The survey comprises a graphic representation of a human body’s posterior view, divided into nine different anatomical regions including neck, shoulders, upper back, lower back, elbows, wrists/hands, hips/thighs, knees, ankles/feet. For each of these areas, there is a “yes” or “no” question that assesses the prevalence of self-reported musculoskeletal symptoms experienced by the respondents over the last 12 months (At any time during the last 12 months, have you had problems (pain, aches, discomfort) in the following parts of your body?). The symptoms may include aches, pain, or discomfort in these body segments. The prevalence rates were calculated based on the proportion of teachers who reported MSDs in any body part to the total number of respondents. In addition, the segments have been grouped to analyze major body segments, generating the following analysis segments: neck/shoulder, back, upper limb, and lower limb. Therefore, Standardized Nordic Questionnaire was crafted to evaluate issues related to the musculoskeletal system within a specific population, focusing on identifying the body parts where these problems are concentrated.

2.4 Statistical analyses

Data analyses were done using STATA v16 software for Windows (StataCorp. 2019. Stata Statistical Software: Release 16. College Station, TX: StataCorp LLC). Descriptive statistics were processed using medians with standard deviations (M ± SD) for continual variables, and frequencies with percentages for categorical variables (n, %). Sociodemographic variables were compared between teachers by gender. MSD rates were presented as frequency and percentage (n, %) and evaluations were done on subjects with the greatest number of painful regions grouping them into percentile 50 according to the previous 12 months (p50: ≥ 6 regions). Sociodemographic characteristics, QoL, and MSD were compared between the PHC and MHC QoL categories according to the standardized t-score (< 50 and ≥ 50 respectively). QoL was also compared in each of its components (PHC and MHC), among teachers with 6 or more painful regions (≥ p50). Median comparisons were done according to data distribution according to the Shapiro–Wilk normality test (t-test: parametric; Mann–Whitney: non-parametric). Chi-squared and Fisher’s Exact tests were used to analyze categorical variables. A logistic regression was also done to analyze the association between the most prevalent cases of MSD (≥ p50), with QoL in its PHC and MHC summary measures, adjusted by age, gender, and contract type. Finally, to evaluate the models’ goodness of fit, a Hosmer-Lemeshow test was used where values above 0.05 indicated that the model fit the data. The significance alpha value was 0.05.

3 Results

3.1 Sociodemographic characteristics of the study group

Table 1 presents the sociodemographic characteristics, MSD prevalence, and teachers’ QoL by gender and age category. We can observe a significant association in the gender and MHC categories for QoL (p < 0.01) where over 90% of women were below the T-Score. On the other hand, the age categories allow us to distinguish significant associations in marital status (p < 0.001), contract type (p < 0.05), number of children (p < 0.001) and the MHC area on QoL (p < 0.05) where 94% of teachers aged 44 or less fell below the T-Score.

3.2 MSD prevalence

MSD rates by age and gender appear in Table 2, indicating that the body regions with the highest MSD rates regardless of age or gender are the lower back and neck, at 83.85 and 83.23%, respectively. Along with this point, having 6 or more body regions with MSD occurred among 63.98% of respondents, while Any MSD stood at 98.14% of respondents. We can also observe that teachers over 45 years old and female teachers reported a higher rate of general MSD compared to younger teachers and male teachers.

Table 2
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Table 2. Prevalence of musculoskeletal disorders according to age and gender in Chilean teachers.

3.3 Association between MSD and QoL

The association between sociodemographic characteristics and MSD with teachers’ QoL appears in Table 3. The PHC on QoL has a significant association with the p50 of MSD (p = 0.023). On the other hand, in the MHC of QoL, there are significant associations in age, contract type, and p50 category (p < 0.01). Significant associations allow us to observe that most teachers below the T-Score for MHC are those age 44 or less and indicating that they had 6 or more body regions with MSD. Teachers with indefinite work contracts also had better mental health (87%).

Table 3
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Table 3. Sociodemographic characteristics and prevalence of musculoskeletal disorders according to physical and mental health components of quality of life.

Finally, Table 4 reports the results of the logistic regression done between the MHC and PHC areas for QoL with MSD rates and work characteristics by gender and age. This table shows that the p50 category for MSD is associated with worse scores on both the physical and mental domains (OR = 2.160; p = 0.029 and OR = 4.857; p = 0.011), while being female (OR = 3.417; p = 0.041) is also a risk factor for the QoL MHC. Finally, after incorporating age as a continuous variable within the model, we can observe a trend whereas teachers’ age increases, there is a proportional decrease in the odds of having worse scores in the mental health component for QoL (OR = 0.946; p = 0.043).

Table 4
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Table 4. Logistic regression for the association between physical and mental health components of quality of life with prevalence of musculoskeletal disorders and work characteristics adjusted for gender and age.

4 Discussion

The study evaluated the relationship between MSD and QoL in a sample of teachers in Chile during the end of the academic period during the COVID-19 pandemic. The presence of 6 or more regions with MSDs seems to be an important risk factor for poor QoL, considering its physical and mental components, independent of age, gender, and type of contract. In our study, the prevalence of MSD in any part of the body was 98.1%, and for 6 or more parts of the body was 64.0%, these results show an increase in the prevalence of musculoskeletal disorders in teachers compared to previous studies carried out both inside and outside the country (16, 17, 35, 36). For example, while the prevalence of musculoskeletal disorders in 6 or more parts of the body in our results was 64.0%, the Solis-Soto study carried out prior to the pandemic in Bolivia reported a prevalence of 47.8% and only considering 3 or more body parts (35). Other previous studies also carried out on Chilean teachers during the pandemic present lower prevalences than those reported in this study, for example, Vega-Fernandez reported only a 28.9% prevalence of MSD in 6 or more parts of the body, a much lower value compared with our results (16), which could mean a progressive increase in teachers’ musculoskeletal disorders as the pandemic progressed.

Although the prevalence of MSD in the back, neck, and upper limbs has been previously reported as the most affected, our results suggest that its prevalence has increased during the period of the COVID-19 pandemic. Compared to one study before the pandemic, including rural and urban areas in Chile, and using the same questionnaire, it shows that any upper limbs discomfort increased by 20% (from 76 to 96.3%), back by 21% (from 71 to 92%) and neck/shoulders by 22% (from 62 to 89%). At the same time, slight variation was reported in other parts of the body, such as knees, which reported an increase of 5% (from 46 to 51%), and ankles/feet by 3% (from 36 to 39%) (16). This difference could be explained due to the change in class modality from face-to-face to virtual learning. Zyznawska and Bartecka reported that the average degree of declared back pain is significantly associated with the number of hours spent at the computer (37). Possibly during the pandemic, pre-existing complaints have intensified and become more persistent. Likewise, the most common discomforts in the body are related to the type of work and common postures exercised in the virtual classes of most schools. Sitting for long hours in front of the computer, inappropriate rest breaks, increased and inappropriate use of smart devices, improper keyboard and mouse position, uncomfortable table and chair for work, and the physical and environmental conditions of the room have been related to the increased MSD in employees using a computer (1922, 38). Additionally, before the pandemic, most teachers did not have training in ergonomics for working in front of the computer, which could cause rapid MSD due to inadequate postures.

On the other hand, women presented higher prevalences in all parts of the body. It is consistent with other studies, which generally reported a higher prevalence and severity of MSD in women, partly explained by the higher overload of domestic tasks (36). However, during the pandemic, this difference may have deepened and decreased the work–non-work balance, especially at the beginning of the health crisis (39, 40). To those mentioned above it is essential to add that, during the study, Chilean teachers were at the end of the academic period and in the first steps toward the return to face-to-face teaching, so the amount of telework may have decreased, but the traditional work and the time dedicated to it were still at the worrying levels that have been described for years (4144), or could even be higher, due to the greater effort required for end-of-semester activities (23).

Our study also found differences in MSD by age. People over 45 years of age have reported higher prevalences of MSD in different body parts, which may have a direct relationship with the human body’s aging process (45). However, our study found a higher prevalence in the lower and upper back areas in younger people (under 45 years of age), which could be related to lifestyle changes due to the lockdown imposed during the pandemic. Restriction on social gatherings, financial problems, and housing conditions seems particularly stressful for younger adults (46). On the other hand, younger teachers could face a career shock at the beginning of their working life (47).

In consistency with previous studies in Chile (16), our results show a significant association between MSD and QoL, both for its physical and mental components. In our study, QoL scores, especially for the mental component, have been reported to be significantly lower in women and younger people. Female teachers showed higher fatigue and anxiety with using technology for education during the Covid-19 pandemic (4850). On the other hand, work-family and domestic and professional task conflicts could influence QoL and explain the higher techno-overload, techno-invasion, techno-complexity, and role overload reported more frequently in women than men (10, 51). Younger people have also reported lower QoL scores. It could be explained by the economic impact of the pandemic, uncertainty, and loneliness, as previously reported (52). In this sense, our results found that young teachers with more than six body regions with MSD are more at risk to have worse QoL in their mental component. In this line, by incorporating Age as a continuous variable in our regression models, it can be observed that as the teacher’s age increases, there is a proportional decrease in the probability of having worse scores in the mental health domain of QoL, reinforcing the results of previous studies mentioned above on a greater impact of teleworking on younger teachers.

5 Limitations and strengths

Several limitations of the study can be identified. One of them refers to the cross-sectional design of the study. For this reason, it is impossible to ensure a causal association since it is impossible to guarantee the temporality criterion. It is possible that the sample needs to be representative of teachers in Chile. As we implemented an online survey, some teachers with limited internet access or use of digital tools may have yet to be able to participate in the study, possibly in rural areas or more peripheral to the city. However, the characteristics of the sample, in general, are similar to those of a previous study where randomized sampling and face-to-face surveys were carried out in various regions of Chile (16). On the other hand, the number of responses has been lower than initially expected. This may be due to non-response survey fatigue, which has been reported before and has been more significant during the pandemic due to limitations in face-to-face activities (53). To minimize response fatigue and improve the quality of the information, the implemented survey has paid particular attention to factors that have been reported to be essential for response fatigue, such as survey length, question complexity, and question type (54).

Additionally, some variables not considered in the analysis, such as socioeconomic level, hours of work per week, and teaching level, could be potential confounders in the relationship studied and could explain some of the results.

Among the strengths of the study, we highlight in the first place the simultaneous approach to the impact of the COVID-19 pandemic and the end of the academic semester on teachers’ health. This issue is relevant to developing public and labor policies adapted to the current circumstances. Second, the study highlights the identification of particularly critical groups, such as women and younger teachers, highlighting the need to design specific and targeted interventions for these subgroups to address the challenges faced by teachers effectively.

6 Conclusion

This study provides insight into the impact of the COVID-19 pandemic during the end of the academic year on the health of teachers in Chile, specifically focusing on the prevalence of MSDs and their association with HRQoL. Our results indicate that working conditions during the critical period for COVID-19 at the end of the academic year have contributed to the increase of work stress and MSDs among teachers, negatively affecting their physical and mental health. The prevalence of MSDs is alarmingly high, with a marked prevalence in women and younger teachers, underscoring the need to consider gender and age dynamics in policy and public health responses.

Furthermore, this study highlights the direct relationship between MSDs and decreased HRQoL, suggesting that interventions to improve working conditions and ergonomics in telework settings are crucial. Public health policies and work practices must be adjusted to address these challenges, especially in health emergencies like the COVID-19 pandemic.

Finally, the results highlight the importance of conducting additional research to understand how working conditions during critical periods (e.g., remote work) effect teachers’ health and to develop effective strategies to improve their quality of life. This study provides valuable evidence that can inform policy decisions and institutional practices to support teacher health and well-being in times of crisis and increased workload, such as the end of the academic year.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Ethics Committee at Pontificia Universidad Católica de Valparaíso (BIOEPUCV-H 393-2021). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

GV-F: Writing – review & editing, Writing – original draft, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization. CG-T: Writing – review & editing, Writing – original draft, Formal analysis, Data curation. MS-S: Investigation, Writing – original draft, Writing – review & editing. PL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by Vicerrectoría de Investigación y Estudios Avanzados of the Pontificia Universidad Católica de Valparaíso Grant 039.346/2016–039.460/2021 (PI GV-F) and Vicerrectoría de Investigación, Creación e innovación Grant 039.353/2023 (PI PL).

Acknowledgments

The authors of this work thank the teachers for their willingness to participate in this study.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Panneer, S, Kantamaneni, K, Akkayasamy, VS, Susairaj, AX, Panda, PK, Acharya, SS, et al. The great lockdown in the wake of COVID-19 and its implications: lessons for low and middle-income countries. Int J Environ Res Public Health. (2022) 19:610. doi: 10.3390/IJERPH19010610

PubMed Abstract | Crossref Full Text | Google Scholar

2. del Valle, MF, Valenzuela, J, Godoy, L, Sol, M, Lizana, PA, Escobar-Cabello, M, et al. Letter from Chile. Respirology. (2022) 27:173–4. doi: 10.1111/resp.14196

Crossref Full Text | Google Scholar

3. Soubelet-fagoaga, I, Arnoso-martínez, M, Guerendiain-gabás, I, Martínez-moreno, E, and Ortiz, G. (tele)work and care during lockdown: labour and socio-familial restructuring in times of COVID-19. Int J Environ Res Public Health. (2021) 18:12087. doi: 10.3390/IJERPH182212087

PubMed Abstract | Crossref Full Text | Google Scholar

4. Luong, N, Barnett, I, and Aledavood, T. The impact of the COVID-19 pandemic on daily rhythms. J Am Med Inform Assoc. (2023) 30:1943–53. doi: 10.1093/jamia/ocad140

PubMed Abstract | Crossref Full Text | Google Scholar

5. Galanti, T, Guidetti, G, Mazzei, E, Zappalà, S, and Toscano, F. Work from home during the COVID-19 outbreak: the impact on employees’ remote work productivity, engagement, and stress. J Occup Environ Med. (2021) 63:e426:–e432. doi: 10.1097/JOM.0000000000002236

PubMed Abstract | Crossref Full Text | Google Scholar

6. Brooks, SK, Webster, RK, Smith, LE, Woodland, L, Wessely, S, Greenberg, N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. (2020) 395:912–20. doi: 10.1016/S0140-6736(20)30460-8

PubMed Abstract | Crossref Full Text | Google Scholar

7. Iglesias-López, E, García-Isidoro, S, and Castellanos-Sánchez, VO. COVID-19 pandemic: pain, quality of life and impact on public health in the confinement in Spain. Ann Palliat Med. (2021) 10:4338–53. doi: 10.21037/apm-20-2514

PubMed Abstract | Crossref Full Text | Google Scholar

8. Lizana, PA, and Vega-Fernadez, G. Teacher teleworking during the COVID-19 pandemic: association between work hours, work–family balance and quality of life. Int J Environ Res Public Health. (2021) 18:7566. doi: 10.3390/IJERPH18147566

Crossref Full Text | Google Scholar

9. Mahmood, F, Ariza-Montes, A, Saleem, M, and Han, H. Teachers’ teleworking job satisfaction during the COVID-19 pandemic in Europe. Curr Psychol. (2021) 42:8540–53. doi: 10.1007/S12144-021-02355-6

Crossref Full Text | Google Scholar

10. Lizana, PA, Vega-Fernadez, G, Gomez-Bruton, A, Leyton, B, and Lera, L. Impact of the COVID-19 pandemic on teacher quality of life: a longitudinal study from before and during the health crisis. Int J Environ Res Public Health. (2021) 18:3764. doi: 10.3390/IJERPH18073764

PubMed Abstract | Crossref Full Text | Google Scholar

11. Hilger, KJE, Scheibe, S, Frenzel, AC, and Keller, MM. Exceptional circumstances: changes in teachers’ work characteristics and well-being during COVID-19 lockdown. Sch Psychol. (2021) 36:516–32. doi: 10.1037/spq0000457

PubMed Abstract | Crossref Full Text | Google Scholar

12. Stang-Rabrig, J, Brüggemann, T, Lorenz, R, and McElvany, N. Teachers’ occupational well-being during the COVID-19 pandemic: the role of resources and demands. Teach Teach Educ. (2022) 117:103803. doi: 10.1016/j.tate.2022.103803

PubMed Abstract | Crossref Full Text | Google Scholar

13. Aperribai, L, Cortabarria, L, Aguirre, T, Verche, E, and Borges, Á. Teacher’s physical activity and mental health during lockdown due to the COVID-2019 pandemic. Front Psychol. (2020) 11:2673. doi: 10.3389/FPSYG.2020.577886/BIBTEX

Crossref Full Text | Google Scholar

14. Quiñones-Laveriano, DM, Cervera-Ocaña, MS, Porro-Diaz, LV, Reynel, KJ, and De La Cruz-Vargas, JA. Correlation between stress and lifestyle in teachers at some schools in Lima, Peru, during telework in 2020. Work. (2022) 72:409–19. doi: 10.3233/WOR-211224

PubMed Abstract | Crossref Full Text | Google Scholar

15. Bleck, V, and Lipowsky, F. Teachers’ emotional exhaustion before and during the COVID-19 pandemic: neither emotional exertion nor vacation feeling. Front Psychol. (2022) 13:887494. doi: 10.3389/fpsyg.2022.887494

PubMed Abstract | Crossref Full Text | Google Scholar

16. Vega-Fernández, G, Olave, E, and Lizana, PA. Musculoskeletal disorders and quality of life in Chilean teachers: a cross-sectional study. Front Public Health. (2022) 10:36. doi: 10.3389/FPUBH.2022.810036

Crossref Full Text | Google Scholar

17. Vega-Fernández, G, Lera, L, Leyton, B, Cortés, P, and Lizana, PA. Musculoskeletal disorders associated with quality of life and body composition in urban and rural public school teachers. Front Public Health. (2021) 9:607318. doi: 10.3389/FPUBH.2021.607318

PubMed Abstract | Crossref Full Text | Google Scholar

18. Durmus, D, and Ilhanli, I. Are there work-related musculoskeletal problems among teachers in Samsun, Turkey? J Back Musculoskelet Rehabil. (2012) 25:5–12. doi: 10.3233/BMR-2012-0304

PubMed Abstract | Crossref Full Text | Google Scholar

19. Prieto-González, P, Šutvajová, M, Lesňáková, A, Bartík, P, Buľáková, K, and Friediger, T. Back pain prevalence, intensity, and associated risk factors among female teachers in Slovakia during the COVID-19 pandemic: a cross-sectional study. Healthcare. (2021) 9:860. doi: 10.3390/HEALTHCARE9070860

PubMed Abstract | Crossref Full Text | Google Scholar

20. Kraemer, K, Moreira, MF, and Guimarães, B. Musculoskeletal pain and ergonomic risks in teachers of a federal institution. Rev Bras Med Trab. (2020) 18:343–51. doi: 10.47626/1679-4435-2020-608

PubMed Abstract | Crossref Full Text | Google Scholar

21. Aydın, A. Examination of musculoskeletal system disorders and ergonomic conditions in the work environment of academics providing distance education during the COVID-19 pandemic: controlled study. Med Sci Monit. (2023) 29:e939901. doi: 10.12659/MSM.939901

PubMed Abstract | Crossref Full Text | Google Scholar

22. Kayabınar, E, Kayabınar, B, Önal, B, Zengin, HY, and Köse, N. The musculoskeletal problems and psychosocial status of teachers giving online education during the COVID-19 pandemic and preventive telerehabilitation for musculoskeletal problems. Work. (2021) 68:33–43. doi: 10.3233/WOR-203357

PubMed Abstract | Crossref Full Text | Google Scholar

23. von der Embse, N, and Mankin, A. Changes in teacher stress and wellbeing throughout the academic year. J Appl Sch Psychol. (2020) 37:165–84. doi: 10.1080/15377903.2020.1804031

Crossref Full Text | Google Scholar

24. Cece, V, Guillet-Descas, E, and Lentillon-Kaestner, V. The longitudinal trajectories of teacher burnout and vigour across the scholar year: the predictive role of emotional intelligence. Psychol Sch. (2022) 59:589–606. doi: 10.1002/PITS.22633

Crossref Full Text | Google Scholar

25. UNESCO. Condiciones de trabajo y salud docente: estudios de casos en Argentina, Chile, Ecuador, México, Perú y Uruguay, Chile, México, UNESCO Oficina Regional de Educación para América Latina y el Caribe. (2005). 11–20.

Google Scholar

26. Lizana, PA, Aballay, J, Vicente-Rodríguez, G, and Gómez-Bruton, A. Low interest in physical activity and higher rates of obesity among rural teachers. Work. (2020) 67:1015–22. doi: 10.3233/WOR-203351

PubMed Abstract | Crossref Full Text | Google Scholar

27. Ayuda Mineduc. (2023). Calendarios Escolares Regionales. Available at:https://www.ayudamineduc.cl/ficha/calendarios-escolares-regionales

Google Scholar

28. Johnson, TP. Snowball sampling: introduction. Hoboken: Wiley (2014).

Google Scholar

29. ENS, EPI. (2023). Departamento de Epidemiologia. Available at:http://epi.minsal.cl/encuesta-ens/

Google Scholar

30. Ayuda Mineduc. (2023). Tipos de establecimiento según financiamiento. Available at:https://www.ayudamineduc.cl/ficha/tipos-de-establecimiento-segun-financiamiento-4

Google Scholar

31. Martínez, MP, Gallardo, I, Martínez, MP, and Gallardo, I. Reliability and construct validity of SF-12 to measure health related quality of life in Chilean subjects. Rev Med Chile. (2020) 148:1568–76. doi: 10.4067/S0034-98872020001101568

PubMed Abstract | Crossref Full Text | Google Scholar

32. Ware, JE, Kosinski, M, and Keller, SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. (1996) 34:220–33. doi: 10.1097/00005650-199603000-00003

Crossref Full Text | Google Scholar

33. Ware, JE, Ware, J, and Turner-Bowker, DM. (2002). How to score SF-12 items estimation of medical care total expenditures view project. Available at:https://www.researchgate.net/publication/291994160

Google Scholar

34. Martínez, MM, and Muñoz, RA. Validación del cuestionario Nórdico estandarizado de síntomas musculoesqueléticos para la población trabajadora chilena, adicionando una escala de dolor. Rev Saude Publica. (2017) 21:43–53. doi: 10.31052/1853.1180.V21.N2.16889

Crossref Full Text | Google Scholar

35. Solis-Soto, MT, Schön, A, Solis-Soto, A, Parra, M, and Radon, K. Prevalence of musculoskeletal disorders among school teachers from urban and rural areas in Chuquisaca, Bolivia: a cross-sectional study. BMC Musculoskelet Disord. (2017) 18:425. doi: 10.1186/s12891-017-1785-9

PubMed Abstract | Crossref Full Text | Google Scholar

36. Erick, PN, and Smith, DR. A systematic review of musculoskeletal disorders among school teachers. BMC Musculoskelet Disord. (2011) 12:260. doi: 10.1186/1471-2474-12-260

PubMed Abstract | Crossref Full Text | Google Scholar

37. Zyznawska, J, and Bartecka, W. Remote working forced by COVID-19 pandemic and its influence on neck pain and low back pain among teachers. Med Pr. (2021) 72:677–84. doi: 10.13075/mp.5893.01189

PubMed Abstract | Crossref Full Text | Google Scholar

38. Keown, GA, and Tuchin, PA. Workplace factors associated with neck pain experienced by computer users: a systematic review. J Manip Physiol Ther. (2018) 41:508–29. doi: 10.1016/j.jmpt.2018.01.005

PubMed Abstract | Crossref Full Text | Google Scholar

39. Giurge, LM, Whillans, AV, and Yemiscigil, A. A multicountry perspective on gender differences in time use during COVID-19. Proc Natl Acad Sci U S A. (2021) 118:e2018494118. doi: 10.1073/pnas.2018494118

PubMed Abstract | Crossref Full Text | Google Scholar

40. Syrek, C, Kühnel, J, Vahle-Hinz, T, and Bloom, J. Being an accountant, cook, entertainer and teacher—all at the same time: changes in employees’ work and work-related well-being during the coronavirus (COVID-19) pandemic. Int J Psychol. (2022) 57:20–32. doi: 10.1002/ijop.12761

PubMed Abstract | Crossref Full Text | Google Scholar

41. Zhang, L, Zhao, J, Xiao, H, Zheng, H, Xiao, Y, Chen, M, et al. Mental health and burnout in primary and secondary school teachers in the remote mountain areas of Guangdong Province in the People’s republic of China. Neuropsychiatr Dis Treat. (2014) 10:123–30. doi: 10.2147/NDT.S56020

PubMed Abstract | Crossref Full Text | Google Scholar

42. Cladellas-Pros, R, Castelló-Tarrida, A, and Parrado-Romero, E. Satisfaction, health and work-related stress of the university professorship according to their contractual status. Rev Saude Publica. (2018) 20:53–9. doi: 10.15446/RSAP.V20N1.53569

PubMed Abstract | Crossref Full Text | Google Scholar

43. Bottiani, JH, Duran, CAK, Pas, ET, and Bradshaw, CP. Teacher stress and burnout in urban middle schools: associations with job demands, resources, and effective classroom practices. J Sch Psychol. (2019) 77:36–51. doi: 10.1016/j.jsp.2019.10.002

Crossref Full Text | Google Scholar

44. Gluschkoff, K, Elovainio, M, Kinnunen, U, Mullola, S, Hintsanen, M, Keltikangas-Järvinen, L, et al. Work stress, poor recovery and burnout in teachers. Occup Med. (2016) 66:564–70. doi: 10.1093/occmed/kqw086

PubMed Abstract | Crossref Full Text | Google Scholar

45. Souza, CS, Cardoso, JP, Aguiar, AP, MacÊdo, MMSR, and Da Silva, OJ. Work-related musculoskeletal disorders among schoolteachers. Rev Bras Med Trab. (2021) 19:140–50. doi: 10.47626/1679-4435-2020-545

PubMed Abstract | Crossref Full Text | Google Scholar

46. Pieh, C, Budimir, S, and Probst, T. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res. (2020) 136:110186. doi: 10.1016/j.jpsychores.2020.110186

PubMed Abstract | Crossref Full Text | Google Scholar

47. Akkermans, J, Richardson, J, and Kraimer, ML. The Covid-19 crisis as a career shock: implications for careers and vocational behavior. J Vocat Behav. (2020) 119:103434. doi: 10.1016/j.jvb.2020.103434

PubMed Abstract | Crossref Full Text | Google Scholar

48. Estrada-Muñoz, C, Vega-Muñoz, A, Castillo, D, Müller-Pérez, S, and Boada-Grau, J. Technostress of Chilean teachers in the context of the COVID-19 pandemic and teleworking. Int J Environ Res Public Health. (2021) 18:5458. doi: 10.3390/ijerph18105458

PubMed Abstract | Crossref Full Text | Google Scholar

49. Lizana, PA, and Lera, L. Depression, anxiety, and stress among teachers during the second COVID-19 wave. Int J Environ Res Public Health. (2022) 19:5968. doi: 10.3390/ijerph19105968

PubMed Abstract | Crossref Full Text | Google Scholar

50. Leo, A, Holdsworth, EA, Wilcox, KC, Khan, MI, Ávila, JAM, and Tobin, J. Gendered impacts of the COVID-19 pandemic: a mixed-method study of teacher stress and work-life balance. Community Work Fam. (2022) 25:682–703. doi: 10.1080/13668803.2022.2124905

Crossref Full Text | Google Scholar

51. La Torre, G, De Leonardis, V, and Chiappetta, M. Technostress: how does it affect the productivity and life of an individual? Results of an observational study. Public Health. (2020) 189:60–5. doi: 10.1016/j.puhe.2020.09.013

PubMed Abstract | Crossref Full Text | Google Scholar

52. Onyeaka, H, Anumudu, CK, Al-Sharify, ZT, Egele-Godswill, E, and Mbaegbu, P. COVID-19 pandemic: a review of the global lockdown and its far-reaching effects. Sci Prog. (2021) 104:003685042110198. doi: 10.1177/00368504211019854

PubMed Abstract | Crossref Full Text | Google Scholar

53. de Koning, R, Egiz, A, Kotecha, J, Ciuculete, AC, Ooi, SZY, Bankole, NDA, et al. Survey fatigue during the COVID-19 pandemic: an analysis of neurosurgery survey response rates. Front Surg. (2021) 8:690680. doi: 10.3389/fsurg.2021.690680

PubMed Abstract | Crossref Full Text | Google Scholar

54. Menon, V, and Muraleedharan, A. Internet-based surveys: relevance, methodological considerations and troubleshooting strategies. Gen Psychiatr. (2020) 33:e100264. doi: 10.1136/gpsych-2020-100264

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: quality of life, mental health, physical health, school teachers, musculoskeletal disorders, academic period

Citation: Vega-Fernández G, Gonzalez-Torres C, Solis-Soto M and Lizana PA (2024) Musculoskeletal disorders and quality of life for Chilean teachers during the COVID-19 pandemic at the academic year-end. Front. Public Health. 12:1277578. doi: 10.3389/fpubh.2024.1277578

Received: 14 August 2023; Accepted: 17 April 2024;
Published: 06 May 2024.

Edited by:

Yuka Kotozaki, Iwate Medical University, Japan

Reviewed by:

Sabina Valente, Polytechnic Institute of Portalegre, Portugal
Stanislav Sabaliauskas, Vilnius University, Lithuania

Copyright © 2024 Vega-Fernández, Gonzalez-Torres, Solis-Soto and Lizana. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Pablo A. Lizana, pablo.lizana@pucv.cl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.