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ORIGINAL RESEARCH article

Front. Public Health, 09 March 2023
Sec. Occupational Health and Safety
This article is part of the Research Topic Psychosocial Work Environment During the COVID-19 Pandemic View all 17 articles

Teachers at risk: Depressive symptoms, emotional intelligence, and burnout during COVID-19

\nLaura Snchez-PujalteLaura Sánchez-Pujalte1Talía Gmez Yepes
Talía Gómez Yepes1*Edgardo Etchezahar,,,Edgardo Etchezahar1,2,3,4Diego Navarro Mateu,Diego Navarro Mateu1,2
  • 1Faculty of Education, International University of Valencia, Valencia, Spain
  • 2Department of Inclusive Education, Faculty of Education, Catholic University of Valencia, Valencia, Spain
  • 3Faculty of Psychology, University of Buenos Aires, Buenos Aires, Argentina
  • 4National Scientific and Technical Research Council, Buenos Aires, Argentina

Background: Previous studies indicated that depressive symptoms are common among teachers due to job stress and difficulty in managing emotions. The aim of this research was to determine the levels of depressive symptomatology in a sample of secondary school teachers who worked during the COVID-19 pandemic and to analyze the relationships with their levels of burnout and emotional intelligence.

Methods: The study involved 430 secondary school teachers residing in Madrid (Spain) who worked during the COVID-19 pandemic. Participants' age was between 25 and 60 (M = 41.40; SD = 11.07) and the gender distribution was 53.72% men and 46.28% women. We used the Spanish version of the Patient Health Questionnaire (PHQ-9), the Maslach Burnout Inventory Educators Survey (MBI-ES) and the Trait Meta-Mood Scale (TMMS-24).

Results: The main results indicated that teachers presented high means of depressive symptomatology, with women obtaining higher scores than men. Significant relationships were also observed between the levels of depressive symptomatology and the dimensions of burnout and emotional intelligence. Finally, the three dimensions of emotional intelligence would contribute to the depressive symptomatology of teachers, while of the burnout dimensions only Emotional Exhaustion would make a contribution.

Conclusion: The possible consequences of depressive symptomatology in teachers during the pandemic are discussed, as well as the need to enhance protective factors such as emotional intelligence and to study burnout levels.

Introduction

The COVID-19 pandemic, one of the greatest challenges faced by humanity this century, has had negative consequences on the psychosocial wellbeing of the world's population (13). Multiple studies highlight that one of the population groups that was most affected by the appearance or increase of symptoms that could be associated with stress is the teachers one (46). Different researches carried out during the last years confirms that, within the multiplicity of existing professional groups, teachers are one of the most exposed to occupational stress (79) and to different common mental disorders associated with it (10, 11). One aspect that characterizes teaching, and is shared by health and social care professions, is the high level of “work emotion” required (4, 12, 13). That is, workers are expected to manage their feelings according to the norms and guidelines defined by the organization, place and type of work (14, 15). In the particular case of teachers, a large part of their work involves direct interaction with students and their families or legal representatives, an action that requires an adequate emotional education to be able to manage and express emotions diligently during the different encounters (16). Such contextual conditions coupled with unsustainable work environments, as well as personal characteristics (17), can make teaching challenging and lead to prolonged episodes of stress and physical and emotional exhaustion (7, 18).

Teaching is one of the professions in which there are high levels of sick leave. Teachers are vulnerable to physical ailments, such as headaches, but also to psychological conditions such as anxiety, stress and depressive symptoms (19). Such conditions can lead to sick leave, decreased professional commitment and absenteeism as a result of prolonged stress (20, 21). In the case of Spain, figures from the Confederación Salud Mental España (CSME) (22) show that one of the most affected professional fields is the educational one, with a higher prevalence of stress, anxiety and depressive symptomatology caused or aggravated by work. According to the CSME report (22), 90% of the teaching staff suffered sleep disturbances due to the pandemic, 89.5% feel more irritable and 42.7% feel depressed or unhappy at work. In the same line, a study carried out by Affor Prevención Psicosocial (23), 54% of teachers show symptoms of anxiety and depression caused by COVID-19 and the return to the classroom. According to the consultancy firm, the impact of COVID-19 has caused psychological imbalances in the working population, as they are immersed in an unknown and hostile environment such as the one generated by the pandemic. In addition, the education sector has traditionally been one of the most exposed to pathologies associated with the workplace. The COVID-19 pandemic highlighted the need to develop sustainable policies and work environments that provide wellbeing to teachers in different aspects (7), which would be reflected both in higher performance—even in borderline scenarios—, as in the case of job performance during the COVID-19 pandemic (3, 24, 25). It would also be reflected in the reduction of physical ailments such as sore throat or headache for which teachers are part of the vulnerable working population, as well as mental health problems (9) that can cause sick leave, disengagement and even absenteeism as some of its consequences (21). With the start of a new school year, education departments and schools should reinforce the monitoring of psychosocial risks and mental health problems associated with prolonged stress (7, 26) among teachers, to avoid its persistence over time. This phenomenon is known as Burnout—recently recognized as a disease by the World Health Organization (27) in the 11th revision of the International Classification of Diseases (ICD-11) (28)—and its incidence can lead not only to a decrease in the effectiveness of professionals, but also to depressive symptoms (10).

Different studies and theoretical approaches developed during the last decades (29, 30) show how different crises, regardless of whether they are economic (31), health (5), war (3234), etc., affect people's mental health (35). In Spain, the recent health crisis due to COVID-19 seems to have negatively affected the mental health of its residents, generating or increasing depressive symptomatology-particularly secondary school teachers. According to CSME reports (22), this group of professionals would require a more accurate assessment and diagnoses for adequate care and intervention, due to depression is one of the main causes of disability.

International guidelines recommend the assessment of depressive symptomatology from primary care centers (36), however, some authors also raise concerns about mass assessment, not only because of the overestimation of symptomatology, but also because of the number of existing assessments (37). In this regard, one of the most reliable assessments is the Patient Health Questionnaire (PHQ-9) (3840), a tool that makes it possible to establish a provisional diagnosis of major depressive disorder on the basis of the answers to the questions in the questionnaire.. According to the Diagnostic and Statistical Manual of Mental Disorders (41), major depressive disorder is likely to be present if at least five of the nine symptoms “during the same period within 2 weeks and represent a change from previous functioning.” At least one of the symptoms is (1) depressed mood or (2) loss of interest or pleasure (41) in performing activities (questions 1 and 2 of the PHQ-9)—suicidal ideation should also be taken into account in this criterion. The symptomatology should also lead to elevated distress and loss of operability. Also, symptoms should not be further defined by substance use or another medical or psychiatric condition. “Other” depression is diagnosed if there is significant wasting or discomfort in core areas of functioning, but not all criteria for any specific depressive disorder are met. While the PHQ-9 can be used to diagnose major depressive syndrome, additional information is also required on the occurrence of manic episodes, other mental disorder, medication side effects, among others (39).

Another ailment that most afflicts teachers is prolonged stress or burnout. Burnout syndrome is defined (21) as a persistent negative emotional state, which is characterized by low self-esteem, decreased motivation and professional commitment, and generalized psychological discomfort. This is a consequence of the long-term stress caused by the working environment (42). Burnout syndrome is characterized by three dimensions: depersonalization, Emotional Exhaustion and reduced personal accomplishment. The first dimension refers to an apathetic or numb response to professional commitments (43). Emotional exhaustion refers to extreme feelings of emotional and physical exhaustion. The last dimension refers to the worker's self-perception of his or her ability to cope with professional challenges (2, 42), which can lead to feelings of failure, worthlessness and low self-esteem.

Studies on burnout syndrome in teachers determine the convergence of different factors related to individual differences (4, 14) and emotional exhaustion, caused by the increase and level of stressors—as may be the case of increased workload—(44, 45). In the educational setting, teachers may go through periods of burnout due to changes in their professional conditions—as is the case of the change of circumstances due to the COVID-19 pandemic—(46). Teachers experienced the increase or appearance of stressors such as decreased professional autonomy (9, 47), interpersonal disputes with co-workers and relatives (5, 48) due to the inability to distinguish work hours from leisure or rest hours (49), among others. Such changes can lead to fluctuations in motivation, causing burnout and decreasing the capacity to regulate internal emotional reactions (50), leading over time to the appearance of depressive symptomatology (51). However, not all people present symptomatology at the same level (52, 53). What happens so that under the same working conditions some individuals suffer extreme stress or present depressive symptomatology and others do not? It is clear that not all people respond in the same way (54). The evaluation that each person makes to respond to the same events could be influenced, among other factors, by emotional intelligence as a skill, which would function as a coping mechanism, a protective factor (55) that allows people to develop resources to protect themselves from deviant behavior (5658). Therefore, the lack or poor development of emotional intelligence could generate or increase vulnerability to the consequences of Burnout (59, 60).

As a coping mechanism against the negative effects of burnout, emotional intelligence has been reported to have a high effect on people's ability to cope with it (59, 61). Emotional intelligence is the collection of skills involved in the processing of emotions and affective information (6265), which are divided into three major dimensions: emotional clarity, mindfulness and repair (66). On the one hand, Emotional Clarity has to do with the way in which people perceive their emotions. Teachers' unstable moods would be related to low levels in this dimension. Such moods would lead to harmful thoughts and result in situations of significant stress (59, 63, 67). The psychological inability to modify emotional states would result in negative consequences at the work level (18, 42), such as inappropriate teaching practice, burnout or abandonment, as psychosocial wellbeing would be affected (50, 63). On the other hand, Attention dimension refers to the degree of attention that people believe they pay to their moods. Being affected would mean a decrease in performance and an increase in distracters, leading teachers to neglect daily tasks. The third dimension is Repair, or people's belief in their ability to regulate their emotional states, prolonging positive ones and interrupting negative ones. When this dimension is affected in teachers, there is a decrease in the strategies and capacity to regulate stress, leading to burnout (59, 68). The repair dimension, at high levels, would lead to intellectual and emotional growth of teachers. High levels in the three dimensions would function as a protective measure against burnout experienced by teachers in stressful and complex situations, as in the case of the COVID-19 pandemic (21, 59, 66).

Given that teaching-specific stressors are mainly related to emotional factors (69), and the significant increase in interventions aimed at teachers' emotional learning in recent years (49, 59, 70, 71), an investigation was carried out to find out the levels of depressive symptoms in secondary school teachers associated with prolonged stress caused by the COVID-19 pandemic containment. The role of emotional intelligence as a regulatory mechanism or protective shield against the appearance or increase of such symptomatology was investigated.

The aim of this work was to analyze whether teachers felt that their work performance was affected by the COVID-19 pandemic, to know their depressive severity indexes and to analyze their levels of stress and emotional intelligence as possible obstructive-protective factors.

In this sense, the following research hypotheses are proposed: H1. Teachers' levels of depressive symptoms are medium; H2. There are differences in depressive symptomatology according to gender, but not according to the age and years of experience of the teachers, H3. Depressive symptomatology is related to the burnout and emotional intelligence dimensions. H4. The burnout and emotional intelligence dimensions (Attention, Clarity and Repair) influenced participants' depressive symptomatology.

Materials and methods

Participants

We conducted a cross-sectional study, with a sample of 430 secondary school teachers from Madrid (Spain) who worked during the COVID-19 Pandemic in 2020/2021. The age of the participants was 25–60 years (M = 41.40; SD = 11.07) and the distribution on the gender was 231 males (53.72%), and 199 (46.28%) females.

Measures

Patient Health Questionnaire (PHQ-9)

The Spanish version of the Patient Health Questionnaire scale was used, which consists of nine items that evaluate the presence of depressive symptoms present in the last 2 weeks. The items has a severity index corresponding to: 0 = “never,” 1 = “some days,” 2 = “more than half of the days” and 3 = “almost every day.” According to the scores obtained on the scale, the following classification is obtained: (1) Normal (scores from 0 to 4), (2) Mild (scores from 5 to 9), (3) Moderate (scores from 10 to 14), and (4) The reliability reported by the Cronbach's alpha for the instrument was adequate (α = 0.88).

Maslach Burnout Inventory Educators Survey

Burnout levels were evaluated with the Maslach Burnout Inventory Educators Survey (MBI-ES) adapted for teachers (19). The MBI-ES has demonstrated adequate reliability and validity of the three-factor structure in different research reports. Cronbach's alpha for the MBI-ES scales ranged from 0.88 to 0.90 for Emotional Exhaustion, 0.74 to 0.76 for Depersonalization, and 0.72 to 0.76 for Personal Accomplishment. Adequate convergent and discriminant validity of the original MBI was established as the measure was developed (72). The scale has 22 items with answer choices on a six-point Likert-type scale (from 0 = never to 6 = always/every day), on three scales: Emotional Exhaustion (feeling of not being able to do more, finding oneself physically and emotionally exhausted), Depersonalization (an unfeeling and impersonal response toward recipients of one's instruction), and Personal Accomplishment (feelings of competence and successful achievement in one's work). The reliability reported by the Cronbach's alpha for the three dimensions was adequate (0.77 ≤ α ≤ 0.82).

Emotional intelligence (TMMS-24)

We use the TMMS-24, the Spanish version (62) of the TMMS-48 (63, 64). The TMMS-24 is original composed of 24 items that make up three dimensions: Attention, Emotional Clarity and Emotional Regulation, with a five-point response format Likert-type scale (1 = strongly disagree, to 5 = strongly agree). The original Spanish version of the scale analyses the descriptive statistics of the items, and the internal consistency of the three dimensions (0.77 < α < 0.82), as well as the construct validity was adequate. Regarding the psychometric properties of our study, we observed an adequate reliability (Attention: α = 0.80; Clarity: α = 0.79 and Regulation: α = 0.78).

Sociodemographic data

We use an ad-hoc questionnaire to ask age, gender, and years of experience as a teacher.

Procedure

The data was collected on an online survey delivered via social media to several groups of teachers in Madrid (Spain). The inclusion/exclusion criteria for being able to participate in our study was that the teacher had given classes in secondary schools during 2020 and 2021. Before completing the questionnaire, teachers were provided with the appropriate instructions and their participation was optional and anonymous. The average time estimated to complete the questionnaire was between 10–15 min.

Data analysis

The statistical analysis was carried out with SPSS 24 (73). First, to test H1, the descriptive statistics of teachers' PHQ9 levels were analyzed (frequencies and percentages). Subsequently, to test the H2 about gender differences in depressive symptomatology a set of student's t-test was applied (as well as the Cohen's d for effect size). Likewise, Person's correlations were used to study the relationships between age and years of teaching experience of the participants with their depressive symptomatology. Regarding H3, a series of Pearson's correlations was conducted to find out whether there were differences between PHQ9, the burnout dimensions according and emotional intelligence dimensions. Finally, linear regressions were used to analyse the extent to which burnout and emotional intelligence dimensions (Attention, Clarity, and Repair) influenced participants' PHQ9 levels. In all cases, the normality criteria and the outliers of the structured variables were calculated to perform the parametric analyses.

Results

First, we analyzed the extent to which teachers felt that their work performance was affected by the COVID-19 pandemic. Only 9% of the participants indicated that they had not been affected, while 29% reported feeling somewhat affected, 44% quite affected, and 18% very affected.

According to the PHQ9 results, Table 1 shows the percentages of teachers who do not have symptoms of severity and those who have mild depression. Likewise, when adding the percentages of moderate, moderate to severe and severe depression, 16.2% is observed (Table 1).

TABLE 1
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Table 1. Level of severity of PHQ9 in the sample of teachers.

Female teachers (M = 1.96; SD = 1.04) had significantly more depressive symptomatology (t = 2.275; p < 0.05; Cohen's d = 0.35) than male teachers (M = 1.62; SD = 0.88). No differences were observed according to the age and years of teaching experience of the participants with respect to their depressive symptomatology.

Subsequently, we proceeded to analyze the relationships between the levels of depressive severity, burnout and emotional intelligence of the participants (Table 2).

TABLE 2
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Table 2. Relationships between PHQ9, burnout, and emotional intelligence.

As can be seen in Table 2, the levels of depressive severity ascertained through the PHQ are significantly related to the Clarity and Repair dimensions of emotional intelligence. That is, the higher the levels of these two dimensions of emotional intelligence, the lower the level of depression. Conversely, the higher the levels of the three dimensions of burnout, the higher the levels of depressive symptomatology, particularly the levels of Emotional Exhaustion, which has a medium-high strength.

Finally, the contribution of the dimensions of emotional intelligence and burnout on the levels of depressive severity was analyzed through a series of regressions (Table 3).

TABLE 3
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Table 3. Regression model results for the PHQ9.

The three dimensions of emotional intelligence contribute to the levels of depressive severity, as can be seen in Table 3. With respect to the burnout dimensions, the only one that makes a significant contribution is Emotional Exhaustion, while depersonalization and Personal Accomplishment do not contribute to the PHQ9 levels.

Discussion and conclusions

Although an important part of the participants indicated that they had been significantly affected emotionally by the pandemic (91% indicated having been affected between a little and a lot), this percentage decreased in terms of the severity of depression assessed by the PHQ-9, since 39.7% presented indicators of mild depression, while 16.2% were between moderate and severe (the sum of both percentages results in 51.9%, also a significant number). This may be due to the ad hoc overestimation and generalization of depressive symptomatology by the participants. Most people experience transitory mood fluctuations, however, the pandemic brought with it extreme situations never before experienced by human beings (2, 4, 5, 9). Some authors (37) also posit that the overestimation of symptomatology could be due to the massive assessment, and also to the number of existing assessments.

Also, women presented higher levels of depressive symptomatology compared to men. These results are consistent with previous studies showing a higher incidence of depressive disorders in women than in men (74). These gender differences could be partly explained by women's greater exposure to adverse situations, risk factors within which include violence against women, structural gender inequality, among others (75). These risk factors were enhanced by the isolation decreed by the COVID-19 pandemic. According to multiple studies carried out during and post pandemic, the circumstances of confinement would have potentiated daily stressors, with women being the group most affected by health, work and personal measures both globally (76, 77) and in the case of Spain (78, 79). No differences were observed in other demographics (age, years of experience in teaching practice).

Regarding the relationships between the PHQ9 and the dimensions of emotional intelligence, negative relationships were observed with the Clarity and Repair dimensions, i.e., the higher the levels in these dimensions, the lower the depressive severity assessed through the PHQ9. No differences were observed with the Attention dimension. Regarding the relationships between the PHQ9 and the burnout dimensions, significant and positive relationships were observed with Emotional Exhaustion and Personal Accomplishment (i.e., the higher the levels of this variable, the greater the depressive severity) and negative relationships with Depersonalization (the higher the levels of these variables, the lower the levels of depressive severity). Taking into account the above information and results, and with the assumption that work environment is one of the main factors to be taken into account for the development of psychologically healthier teachers (7, 18), the promotion of teachers' wellbeing becomes a key factor for their own productivity and sustainability (3), helping to prevent pathologies like burnout and depressive symptoms associated with work and teaching environments (42). Much remains to be investigated and explored after a pandemic such as the one the whole world has experienced, although the efficacy of these protective factors has been extensively studied.

Regarding burnout, of the three dimensions (Emotional Exhaustion, Personal Accomplishment, and Depersonalization) only Emotional Exhaustion was significant. These results are consistent with previous studies on burnout symptoms (51, 80, 81) that showed that depressive symptomatology correlated more strongly with emotional exhaustion (82) considered the central dimension of the MBI-ES.

Finally, when we testing to what extent the dimensions of burnout and emotional intelligence contributed to the levels of depressive severity, it was observed that the three dimensions of emotional intelligence made a significant contribution. These results are consistent with previous research findings which showed that a high development of emotional skills could be considered a valuable resource in the prevention of mental illness (5, 83). This implies that emotional intelligence would function as a protective factor, indicating the need for training in each of its dimensions.

Taking into account previous literature and the results of this study, it is concluded that it is important for teachers to have training in emotional intelligence (10, 55), not only to be able to manage their own emotions, but also to provide support for the resolution of similar problems, both to the rest of the teaching staff and to the students (18). In this way, the knowledge, attitudes, training and educational models from which teachers work come into play (4, 5). With a view to the future, it is necessary to include in teacher training plans a perspective that includes instruction in emotional education and in the recognition of symptoms associated with exposure and situations of prolonged stress (84, 85). In this way, it will be possible to prevent and deal with different forms of socio-labor exclusion that teachers suffer in the educational context as a consequence of burnout (19). Thus, education must participate at the institutional and professional level as an engine for transformation and improvement in terms of education and public health, seeking to achieve more inclusive and safer future societies for teachers and by extension for students.

Limitations

One of the main limitations of this study is that since it was a cross-sectional study, it was not possible to examine the trajectory of depressive symptomatology, nor the symptoms of Burnout. Another limitation would also be the size of the sample (72). Although the size of the sample allowed us to corroborate the hypotheses, it is not large enough, an aspect that will be taken into consideration for future studies. Therefore, it was not possible to analyze with certainty whether the depressive symptomatology observed in the participants is a product of burnout or vice versa. It is also uncertain whether the Burnout symptoms are a consequence of the change in working conditions due to the confinement decreed by the COVID-19 pandemic (9, 85), or whether it was a symptomatology that the participants could be carrying over from the work routine prior to the pandemic (17). Also, the participants did not have a previous diagnosis, therefore the results should be considered provisional, and it is necessary to continue to investigate empirically the relationships between the variables. Future studies could investigate through longitudinal studies the levels of PHQ9 in teachers, in order to know with greater certainty to what extent their levels of emotional intelligence are associated.

Practical implications

Beyond the limitations, this research provides evidence on the implications of burnout and emotional intelligence on the mental health and thus on the job performance of teachers (84). Teachers are one of the main assets in a society as they are in charge of transmitting knowledge and educating citizens (18). Therefore, the development of their emotional capabilities should be a priority. The implementation of programs that promote health in work environments, which have been shown to be an investment and not an expense, by having a positive return so, is posed as imperative. In the current global situation, every small contribution can make a big difference, so a useful solution to reduce the impact of burnout is to develop emotional skills. For this reason, training programs should aim not only to develop the emotional skills of professionals to prevent burnout problems, but also to promote individual outcomes (17). Also, this approach could help to improve the management of emotions, reducing the high impact that negative institutional and personal consequences—such as sick leave or constant rotations—have on the schools' competitiveness.

Data availability statement

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

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent from the participants was not required to participate in this study in accordance with the national legislation and the institutional requirements.

Author contributions

LS-P, TG, EE, and DN conceived the study, participated in study design, data collection, interpretation of the result, drafting the manuscript, and revised the manuscript critically. All authors contributed to the article and approved the submitted version.

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. Duran Vila NI. El Teletrabajo y la conciliación con el entorno de convivencia familiar durante la Pandemia COVID-19. Rev Invest Psicol. (2020) 1:68–72.

Google Scholar

2. Jaguaco D, Turpo-Chaparro J, Vásquez-Villanueva S, Apaza-Romero A. Social support and general self-efficacy: two predictors of quality of life at work in Ecuadorian teachers. Front Educ. (2022) 7:946723. doi: 10.3389/feduc.2022.946723

CrossRef Full Text | Google Scholar

3. Zajdel M, Michalcewicz-Kaniowska M, Modrzyński P, Komarnicka A, Modrzyńska J. Conditions and determinants of distance education for students during the COVID-19 pandemic—evaluation in the Kuyavia-Pomerania Region in Poland. Sustainability. (2021) 13:10373. doi: 10.3390/su131810373

CrossRef Full Text | Google Scholar

4. Mérida-López S, Extremera N, Rey L. Emotion-regulation ability, role stress and teachers' mental health. Occup Med. (2017) 67:540–5. doi: 10.1093/occmed/kqx125

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sánchez-Pujalte L, Mateu DN, Etchezahar E, Gómez Yepes T. Teachers' Burnout during COVID-19 pandemic in Spain: trait emotional intelligence and socioemotional competencies. Sustainability. (2021) 13:7259. doi: 10.3390/su13137259

CrossRef Full Text | Google Scholar

6. Prati G, Mancini A. The psychological impact of COVID-19 pandemic lockdowns: a review and meta-analysis of longitudinal studies and natural experiments. Psychol Med. (2021) 51:201–11. doi: 10.31234/osf.io/pqct5

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Baka L. Does job burnout mediate negative effects of job demands on mental and physical health in a group of teachers? Testing the energetic process of Job Demands-Resources model. Int J Occup Med Environ Health. (2015) 28:335–347. doi: 10.13075/ijomeh.1896.00246

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Eaton WW, Anthony JC, Mandel W, Garrison R. Occupations and the prevalence of major depressive disorder. J Occup Med. (2015) 32:11, 1079–87. doi: 10.1097/00043764-199011000-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Sokal L, Trudel LE, Babb J. Canadian teachers' attitudes toward change, efficacy, and burnout during the COVID-19 pandemic. Int J Educ Res Open. (2020) 1:00016. doi: 10.1016/j.ijedro.2020.100016

CrossRef Full Text | Google Scholar

10. Booth A, Scantlebury A, Hughes-Morley A, Mitchell N, Wright K, Scott W, et al. Mental health training programmes for non-mental health trained professionals coming into contact with people with mental ill health: a systematic review of effectiveness. BMC Psychiatry. (2017) 17:1. doi: 10.1186/s12888-017-1356-5

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Stansfeld SA, Rasul FR, Head J, Singleton N. Occupation and mental health in a national UK survey. Soc Psychiatry Psychiatr Epidemiol. (2009) 46:101–10. doi: 10.1007/s00127-009-0173-7

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Hussey I, Barnes-Holmes D. The implicit relational assessment procedure as a measure of implicit depression and the role of psychological flexibility. Cogn Behav Pract. (2012) 19:573–82. doi: 10.1016/j.cbpra.2012.03.002

CrossRef Full Text | Google Scholar

13. Wieclaw J, Esben A, Preben BM, Jens PB. Occupational risk of affective and stress-related disorders in the Danish workforce. Scandi J Work Environ Health. (2005) 31:343–51. doi: 10.5271/sjweh.917

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Wharton AS. The sociology of emotional labor. Ann Rev Sociol. (2009) 35:147–65. doi: 10.1146/annurev-soc-070308-115944

CrossRef Full Text | Google Scholar

15. Brunetto Y, Shacklock K, Teo S, Farr-Wharton R. The impact of management on the engagement and well-being of high emotional labour employees. Int J Hum Resour Manag. (2014) 25:2345–63. doi: 10.1080/09585192.2013.877056

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Hargreaves A. The emotional practice of teaching. Teach Teach Educ. (1998) 14:835–54. doi: 10.1016/S0742-051X(98)00025-0

CrossRef Full Text | Google Scholar

17. Toropova A, Myrberg E, Johansson S. Teacher job satisfaction: the importance of school working conditions and teacher characteristics. Educ Rev. (2020) 73:1–27. doi: 10.1080/00131911.2019.1705247

CrossRef Full Text | Google Scholar

18. Tsouloupas CN, Carson RL, Matthews R, Grawitch MJ, Barber LK. Exploring the association between teachers' perceived student misbehaviour and emotional exhaustion: the importance of teacher efficacy beliefs and emotion regulation. Educ Psychol. (2010) 30:173–89. doi: 10.1080/01443410903494460

CrossRef Full Text | Google Scholar

19. Maslach C, Jackson SE, Schwab R. Maslach Burnout Inventory – Educators Survey (MBI-ES) – Assessments, Tests. Mind Garden. Available online at: www.mindgarden.com/316-mbi-educators-survey (accessed February 26, 2023).

Google Scholar

20. Ozamiz-Etxebarria N, Idoiaga Mondragon N, Bueno-Notivol J, Pérez-Moreno M, Santabárbara J. Prevalence of anxiety, depression, and stress among teachers during the COVID-19 pandemic: a rapid systematic review with meta-analysis. Brain Sci. (2021) 11:1172. doi: 10.3390/brainsci11091172

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annu Rev Psychol. (2001) 52:397–422. doi: 10.1146/annurev.psych.52.1.397

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Confederación Salud Mental España. Salud Mental y COVID-19, un año de pandemia. Confederación SALUD MENTAL ESPAÑA. (2021). Available online at: https://www.consaludmental.org/publicaciones/Salud-mental-covid-aniversario-pandemia.pdf (accessed February 26, 2023).

Google Scholar

23. Affor Prevención Psicosocial. El 54% de los Docentes Muestra Síntomas de Ansiedad Provocados por el COVID-19 y el Regreso a las Aulas. Affor Prevención Psicosocial. (2022). Available online at: https://afforhealth.com/mas-de-la-mitad-docentes-muestra-ansiedad-covid-19/ (accessed February 26, 2023).

24. Martínez-López JÁ, Lázaro-Pérez C, Gómez-Galán J. Death anxiety in social workers as a consequence of the COVID-19 pandemic. Behav Sci. (2021) 11:61. doi: 10.3390/bs11050061

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ivancevic S, Ivanovic T, Maricic M, Cudanov M. Student heavy work investment, burnout, and their antecedents: the case of Serbia. Amfiteatru Econ. (2020) 22:1182–205. doi: 10.24818/EA/2020/S14/1182

CrossRef Full Text | Google Scholar

26. Ortega-Galán ÁM, Ruiz-Fernández MD, Lirola M-J, Ramos-Pichardo JD, Ibáñez-Masero O, Cabrera-Troya J, et al. Professional quality of life and perceived stress in health professionals before COVID-19 in Spain: primary and hospital care. Healthcare. (2020) 8:484. doi: 10.3390/healthcare8040484

PubMed Abstract | CrossRef Full Text | Google Scholar

27. World Health Organization. World Health Statistics Overview 2019. World Health Organization (2019). Available online at: https://apps.who.int/iris/bitstream/handle/10665/311696/WHO-DAD-2019.1-eng.pdf (accessed February 5, 2022).

28. World Health Organization. Burn-Out an “Occupational Phenomenon”: International Classification of Diseases. Geneva: World Health Organization (2019). Available online at: https://wwwwhoint/mental_health/evidence/burn-out/en/ (accessed February 5, 2023).

Google Scholar

29. Alonso J, Angermeyer MC, Bernert S, Bruffaerts R, Brugha TS, Bryson H, et al. Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatr Scand. (2004) 109:21–7. doi: 10.1111/j.1600-0047.2004.00325.x

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Navarro-Mateu F, Tormo MJ, Salmerón D, Vilagut G, Navarro C, Ruíz-Merino G, et al. Prevalence of mental disorders in the South-East of Spain, one of the European regions most affected by the economic crisis: the cross-sectional PEGASUS-Murcia Project. PLoS ONE. (2015) 10:1–22. doi: 10.1371/journal.pone.0137293

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Belloni M, Meschi E, Pasini G. The effect on mental health of retiring during the economic crisis. Health Econ. (2016) 25:126–40. doi: 10.1002/hec.3377

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Creech SK, Swift R, Zlotnick C, Taft C, Amy E. Combat exposure, mental health, and relationship functioning among women veterans of the Afghanistan and Iraq wars. J Fam Psychol. (2016) 30:43–51. doi: 10.1037/fam0000145

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Cobo A, Porras-Segovia A, Pérez-Rodríguez M, Artés-Rodríguez A, Barrigón M, Courtet P, et al. Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study. BJPsych Open. (2021) 7:82. doi: 10.1192/bjo.2021.43

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Summerfield D. Conflict and health: war and mental health: a brief overview. BMJ. (2000) 321:232–5. doi: 10.1136/bmj.321.7255.232

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Oliva J, López-Varcárcel BG, Pérez PB, Peña-Longobardo LM, Garrido RMU, González NZ. El impacto de la Gran Recesión en la salud mental en España. Gaceta Sanitaria. (2020) 34:48–53. doi: 10.1016/j.gaceta.2020.05.009

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Siu A. Screening for depression in adults: US Preventive Services Task Force recommendation statement. J Am Med Assoc. (2016) 315:380–7. doi: 10.1542/peds.2015-4467

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Thombs BD, Coyne JC, Cuijpers P, de Jonge P, Gilbody S, Ioannidis J, et al. Rethinking recommendations for screening for depression in primary care. CMAJ. (2012) 184:413–8. doi: 10.1503/cmaj.111035

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Diez-Quevedo C, Rangil T, Sanchez-Planell L, Kroenke K, Spitzer RL. Validation and utility of the patient health questionnaire in diagnosing mental disorders in 1003 general hospital Spanish inpatients. Psychosom Med. (2001) 63:679–86. doi: 10.1097/00006842-200107000-00021

PubMed Abstract | CrossRef Full Text | Google Scholar

39. El-Den S, Chen TF, Gan Y-L, Wong E, O'Reilly CL. The psychometric properties of depression screening tools in primary healthcare settings: a systematic review. J Affect Disord. (2018) 225:503–22. doi: 10.1016/j.jad.2017.08.060

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Levis B, Benedetti A, Thombs BD. Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ. (2019) 365:11476. doi: 10.1136/bmj.l1476

PubMed Abstract | CrossRef Full Text | Google Scholar

41. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Washington, DC: APA (2013). doi: 10.1176/appi.books.9780890425596

CrossRef Full Text | Google Scholar

42. Smeds MR, Janko MR, Allen S, Amankwah K, Arnell T, Ansari P, et al. Burnout and its relationship with perceived stress, self-efficacy, depression, social support, and programmatic factors in general surgery residents. Am J Surg. (2020) 219:907–12. doi: 10.1016/j.amjsurg.2019.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Bakker AB, Schaufeli WB, Demerouti E, Janssen PPM, Van Der Hulst R, Brouwer J. Using equity theory to examine the difference between burnout and depression. Anxiety Stress Coping. (2000) 13:247–68. doi: 10.1080/10615800008549265

CrossRef Full Text | Google Scholar

44. Bang H, Reio TG. Examining the role of cynicism in the relationships between burnout and employee behavior. Rev Psicol Trab Las Organ. (2017) 33:217–27. doi: 10.1016/j.rpto.2017.07.002

CrossRef Full Text | Google Scholar

45. Castellani V, Perinelli E, Gerbino M, Caprara GV. Positive orientation and interpersonal styles. Pers Individ Dif. (2016) 98:229–34. doi: 10.1016/j.paid.2016.04.048

CrossRef Full Text | Google Scholar

46. Răducu C-M, Stănculescu E. Adaptability to online teaching during Covid-19 pandemic: a multiple mediation analysis based on Kolb's theory. Int J Environ Res Public Health. (2021) 18:8032. doi: 10.3390/ijerph18158032

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Morote R, Las Hayas C, Izco-Basurko I, Anyan F, Fullaondo A, Donisi V, et al. Co-creation and regional adaptation of a resilience-based universal whole-school program in five European regions. Eur Educ Res J. (2022) 21:138–64. doi: 10.1177/1474904120947890

CrossRef Full Text | Google Scholar

48. Ungar M, Russell P, Connelly G. School-based interventions to enhance the resilience of students. J Educ Dev Psychol. (2014) 4. doi: 10.5539/jedp.v4n1p66

CrossRef Full Text | Google Scholar

49. Ansley BM, Houchins DE, Varjas K, Roach A, Patterson D, Hendrick R. The impact of an online stress intervention on burnout and teacher efficacy. Teach Teach Educ. (2021) 98:103251. doi: 10.1016/j.tate.2020.103251

CrossRef Full Text | Google Scholar

50. Alarcon GM. A meta-analysis of burnout with job demands, resources, and attitudes. J Vocat Behav. (2011) 79:549–62. doi: 10.1016/j.jvb.2011.03.007

CrossRef Full Text | Google Scholar

51. Bianchi R, Boffy C, Hingray C, Truchot D, Laurent E. Comparative symptomatology of burnout and depression. J Health Psychol. (2013) 18:782–7. doi: 10.1177/1359105313481079

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Bühler K-E, Land T. Burnout and personality in intensive care: an empirical study. Hosp Top. (2003) 81:5–12. doi: 10.1080/00185860309598028

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Agai–Demjaha T, Karadzinska Bislimovska J, Mijakoski D. Level of work related stress among teachers in elementary schools. Open Access Maced J Med Sci. (2015) 3:484. doi: 10.3889/oamjms.2015.076

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Klapproth F, Federkeil L, Heinschke F, Jungmann T. Teachers' experiences of stress and their coping strategies during COVID-19 induced distance teaching. J Pedagog Res. (2020) 4:4. doi: 10.33902/JPR.2020062805

CrossRef Full Text | Google Scholar

55. Persich MR, Smith R, Cloonan SA, Woods-Lubbert R, Strong M, Killgore WDS. Emotional intelligence training as a protective factor for mental health during the COVID-19 pandemic. Depress Anxiety. (2021) 38:1018–25. doi: 10.1002/da.23202

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Ghorpade J, Lackritz J, Singh G. Burnout and personality: evidence from academia. J Career Assess. (2007) 15:240–56. doi: 10.1177/1069072706298156

CrossRef Full Text | Google Scholar

57. Liu Y, Zhang Z, Zhao H. The influence of the COVID-19 event on deviant workplace behavior taking Tianjin, Beijing and Hebei as an example. Int J Environ Res Public Health. (2021) 18:59. doi: 10.3390/ijerph18010059

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Chen H, Richard OC, Dorian Boncoeur O, Ford DL. Work engagement, emotional exhaustion, and counterproductive work behavior. J Bus Res. (2020) 114:30–41. doi: 10.1016/j.jbusres.2020.03.025

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Mérida-López S, Extremera N. When pre-service teachers' lack of occupational commitment is not enough to explain intention to quit: emotional intelligence matters! Rev Psicodidáctica. (2020) 25:52–8. doi: 10.1016/j.psicoe.2019.05.001

CrossRef Full Text | Google Scholar

60. Papastylianou A, Kaila M, Polychronopoulos M. Teachers' burnout, depression, role ambiguity and conflict. Soc Psychol Educ. (2009) 12:295–314. doi: 10.1007/s11218-008-9086-7

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Brackett MA, Palomera R, Mojsa-Kaja J, Reyes MR, Salovey P. Emotion-regulation ability, burnout, and job satisfaction among British secondary-school teachers. Psychol Sch. (2010) 47:406–17. doi: 10.1002/pits.20478

CrossRef Full Text | Google Scholar

62. Fernandez-Berrocal P, Extremera N, Ramos N. Validity and reliability of the spanish modified version of the trait meta-mood scale. Psychol Rep. (2004) 94:751–5. doi: 10.2466/pr0.94.3.751-755

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Mayer JD, Salovey P. What is emotional intelligence? In:Salovey P, Sluyter D, , editors. Emotional Development and Emotional Intelligence: Implications for Educators. New York, NY: Basic Books (1997), p. 3–31.

Google Scholar

64. Salovey P, Mayer JD, Goldman SL, Turvey C, Palfai TP. Emotional attention, clarity, and repair: exploring emotional intelligence using the Trait Meta-Mood Scale. In:Pennebaker JW, , editors. Emotion, Disclosure, and Health. Washington, DC: American Psychological Association (1995) 125–154. doi: 10.1037/10182-006

CrossRef Full Text | Google Scholar

65. Mayer JD, Caruso DR, Salovey P. The ability model of emotional intelligence: principles and updates. Emot Rev. (2016) 8:290–300. doi: 10.1177/1754073916639667

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Extremera N. Coping with the stress caused by the COVID-19 pandemic: future research agenda based on emotional intelligence (Afrontando el estrés causado por la pandemia COVID-19: futura agenda de investigación desde la inteligencia emocional). Int J Soc Psychol. (2020) 35:631–8. doi: 10.1080/02134748.2020.1783857

CrossRef Full Text | Google Scholar

67. O'Boyle EH, Humphrey RH, Pollack JM, Hawver TH, Story PA. The relation between emotional intelligence and job performance: a meta-analysis. J Organ Behav. (2011) 32:788–818. doi: 10.1002/job.714

CrossRef Full Text | Google Scholar

68. Johnson SJ, Machowski S, Holdsworth L, Kern M, Zapf D. Age, emotion regulation strategies, burnout, and engagement in the service sector: advantages of older workers. Rev Psicol Trab Organ. (2017) 33:205–16. doi: 10.1016/j.rpto.2017.09.001

CrossRef Full Text | Google Scholar

69. Oliveira S, Roberto MS, Veiga-Simão AM, Marques-Pinto A. A meta-analysis of the impact of social and emotional learning interventions on teachers' Burnout symptoms. Educ Psychol Rev. (2021) 33:1779–808. doi: 10.1007/s10648-021-09612-x

CrossRef Full Text | Google Scholar

70. Valiente C, Swanson J, DeLay D, Fraser AM, Parker JH. Emotion-related socialization in the classroom: considering the roles of teachers, peers, and the classroom context. Dev Psychol. (2020) 56:578–94. doi: 10.1037/dev0000863

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Schutz PA, Pekrun R. Emotion in Education. Amsterdam: Elsevier Academic Press (2007).

Google Scholar

72. Ferradás MDM, Freire C, García-Bértoa A, Núñez JC, Rodríguez S. Teacher profiles of psychological capital and their relationship with burnout. Sustainability. (2019) 11:5096. doi: 10.3390/su11185096

CrossRef Full Text | Google Scholar

73. Hernández Sampieri R, Mendoza Torres CP. Metodología de la Investigación. New York, NY: McGraw-Hill (2018). http://repositorio.uasb.edu.bo:8080/handle/54000/1292

74. Altemus M, Sarvaiya N, Neill Epperson C. Sex differences in anxiety and depression clinical perspectives. Front Neuroendocrinol. (2014) 35:320–30. doi: 10.1016/j.yfrne.2014.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Muehlenhard CL, Peterson ZD. Distinguishing between sex and gender: history, current conceptualizations, and implications. Sex Roles. (2011) 64:791–803. doi: 10.1007/s11199-011-9932-5

CrossRef Full Text | Google Scholar

76. United Nations Entity for Gender Equality and the Empowerment of Women. In Focus: Gender Equality Matters in COVID-19 response. ONU-WOMEN. (2020). Availble online at: https://www.unwomen.org/en/news/in-focus/in-focus-gender-equality-in-covid-19-response (accessed February 26, 2023).

77. United Nations Entity for Gender Equality the Empowerment of Women. (2021). Hand Over the Mic: Women on the Front Lines of Violence Against Women during COVID-19. ONU-WOMEN. Available online at: https://www.unwomen.org/en/news/stories/2020/11/hand-over-the-mic-compilation-on-the-front-lines-of-covid-19 (accessed February 26, 2023).

78. Acosta ML. Violencia de género en tiempos de pandemia y confinamiento. Rev Esp Med Leg. (2020) 46:139–45. doi: 10.1016/j.reml.2020.05.005

CrossRef Full Text | Google Scholar

79. Acosta ML, Luna del Castillo J, Montero Alonso MA, Badenes Sastre M. Nos Queremos Vivas. Impacto por COVID-19 en la Violencia de Género en España. Centro de publicaciones Ministerio de Igualdad. (2022). Available online at: https://violenciagenero.igualdad.gob.es/violenciaEnCifras/estudios/investigaciones/2022/pdf/Estudio_Impacto_COVID-19.pdf (accessed February 26, 2023).

80. Bakker AB, Demerouti E, Verbeke W. Using the job demands-resources model to predict burnout and performance. Hum Resour Manag. (2004) 43:83–104. doi: 10.1002/hrm.20004

CrossRef Full Text | Google Scholar

81. Bianchi R, Schonfeld IS, Laurent E. Burnout–depression overlap: a review. Clin Psychol Rev. (2015) 36:28–41. doi: 10.1016/j.cpr.2015.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Bonde JPE. Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occup Environ Med. (2008) 65:438–45. doi: 10.1136/oem.2007.038430

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Mérida-López S, Extremera N. Emotional intelligence and teacher burnout: a systematic review. Int J Educ Res. (2017) 85:121–30. doi: 10.1016/j.ijer.2017.07.006

CrossRef Full Text | Google Scholar

84. Drgas A, Chara P. The need for emotional intelligence training education in critical and stressful situations: the case of Covid-19. Depress Anxiety. (2020) 38:1018–25. doi: 10.3991/ijes.v8i3.17235

CrossRef Full Text | Google Scholar

85. Chang ML, Gaines RE, Mosley KC. Effects of autonomy support and emotion regulation on teacher burnout in the era of the COVID-19 pandemic. Front Psychol. (2022) 13:846290. doi: 10.3389/fpsyg.2022.846290

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: teachers wellbeing, depressive symptoms, emotional intelligence, burnout, COVID-19

Citation: Sánchez-Pujalte L, Gómez Yepes T, Etchezahar E and Navarro Mateu D (2023) Teachers at risk: Depressive symptoms, emotional intelligence, and burnout during COVID-19. Front. Public Health 11:1092839. doi: 10.3389/fpubh.2023.1092839

Received: 08 November 2022; Accepted: 20 February 2023;
Published: 09 March 2023.

Edited by:

Evangelos C. Fradelos, University of Thessaly, Greece

Reviewed by:

Marcello Nonnis, Università di Cagliari, Italy
Elena Stanculescu, University of Bucharest, Romania
David Aparisi, University of Alicante, Spain

Copyright © 2023 Sánchez-Pujalte, Gómez Yepes, Etchezahar and Navarro Mateu. 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: Talía Gómez Yepes, dGFsaWEuZ29tZXomI3gwMDA0MDtjYW1wdXN2aXUuZXM=

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