ARTICLE

Burnout in Primary Health Care Professionals During the COVID-19 Pandemic and Associated Factors *

Burnout en profesionales de la Atención Primaria de Salud en la pandemia de covid-19 y factores asociados **

Burnout em profissionais da Atenção Primária à Saúde na pandemia da covid-19 e fatores associados ***



Marcelo Nunes da Silva Fernandes 1 
Polla Victória Paim Rodrigues Finckler 2 
Teresinha Heck Weiller 3
Letícia de Lima Trindade 4
Juliana Petri Tavares 5 
Daiane Dal Pai 6 

1 Universidade Federal do Rio Grande do Sul, Brazil
0000-0003-0566-0174
marcelonsf@gmail.com

2 Universidade Federal do Rio Grande do Sul, Brazil
0000-0003-2540-5699
pollavictoriapaim@gmail.com

3 Universidade Federal de Santa Maria, Brazil
0000-0003-2531-0155
teresinha.weiller@ufsm.br

4 Universidade do Estado de Santa Catarina, Brazil
0000-0002-7119-0230
letrindade@hotmail.com

5 Universidade Federal do Rio Grande do Sul, Brazil
0000-0003-4121-645X
jupetritavares@gmail.com

6 Universidade Federal do Rio Grande do Sul, Brazil
0000-0002-6761-0415
daiane.dalpai@gmail.com


* This article stems from the doctoral thesis entitled "Work environment of Primary Health Care teams: risks of illness and burnout during the COVID-19 pandemic", by the Universidade Federal do Rio Grande do Sul (Federal University of Rio Grande do Sul). Available at: https://lume.ufrgs.br/handle/10183/279336

** Este artigo es derivado da tese de doutorado "Contexto de trabalho das equipes da atenção primária à saúde: riscos de adoecimento e Burnout na pandemia da Covid-19", presentado a Universidade Federal do Rio Grande do Sul. Disponível em: https://lume.ufrgs.br/handle/10183/279336

*** Este artigo é derivado da tese de doutorado "Contexto de trabalho das equipes da Atenção Primária à Saúde: riscos de adoecimento e burnout na pandemia da covid-19", pela Universidade Federal do Rio Grande do Sul. Disponível em: https://lume.ufrgs.br/handle/10183/279336


Theme: Well-being and quality of life

Contributions to the field: This study makes a significant contribution to the field of healthcare, especially nursing, which represents the largest healthcare workforce in Brazil and worldwide. The research addresses the dimensions that constitute burnout in Primary Health Care (PHC) professionals who have worked during the COVID-19 pandemic, allowing for reflection on current public health policies to subsidize care and management measures in the PHC setting. In addition, it also highlights the need to strengthen initiatives aimed at self-care and reducing levels of occupational stress among these professionals, especially community health workers, who comprise the main healthcare professional contingent in PHC in Brazil.


Received: 27/10/2024
Sent to peers: 04/02/2025
Approved by peers: 31/03/2025
Accepted: 01/04/2025


Para citar este artigo / Para citar este artículo / To reference this article Fernandes MNS, Finckler PVPR, Weiller TH, Trindade LL, Tavares JP, Dal Pai D. Burnout in Primary Health Care professionals during the COVID-19 pandemic and associated factors. Aquichan. 2025;25(3):e2536. DOI: https://doi.org/10.5294/aqui.2025.25.3.6


Abstract

Introduction: Burnout is considered a public health problem, meaning that it is important to address it in a pandemic health care scenario.
Objective: To analyze burnout in association with sociodemographic and work characteristics of Primary Health Care professionals during the COVID-19 pandemic.
Materials and methods: This is a quantitative study conducted from September 2021 to February 2022 in a municipality in southern Brazil, with 295 professionals, 224 of whom had been working for at least six months. Participants answered an electronic form with sociodemographic and work-related variables and the Burnout Assessment Tool scale. The data was analyzed using Poisson regression, with a p-value < 0.10.
Results: Emotional exhaustion was more prevalent among community health workers (r = 0.37; p = 0.01) and nurses (r = 0.52; p = 0.04). Participants with a good diet had lower emotional exhaustion (r = 0.64; p < = 0.001) and a decline in emotional control (r = -0.97; p < 0.001); older age was associated with lower exhaustion (r = - 0.20; p < 0.001). The use of continuous medication was associated with better mental detachment (r = 0.39; p = 0.01). Community health workers had less cognitive decline (r = 0.61; p = 0.09).
Conclusion: This study emphasizes the need to build a healthy work environment, promote self-care, and reduce occupational stress to mitigate burnout among professionals working during the COVID-19 pandemic.

Keywords (Source: DeCS):  Occupational Health; Coronavirus; Professional Burnout; Primary Health Care


Resumen

Introducción: El agotamiento se considera un problema de salud pública, por lo que es importante abordarlo en el contexto del cuidado de la salud durante la pandemia.
Objetivo: Analizar el agotamiento en relación con las características sociodemográficas y laborales de los profesionales de la Atención Primaria de Salud en la pandemia de covid-19.
Materiales y métodos: Estudio cuantitativo, realizado entre septiembre de 2021 y febrero de 2022, en un municipio del sur de Brasil, con 295 profesionales, de los cuales 224 llevaban trabajando al menos seis meses. Los participantes respondieron a un formulario electrónico con variables sociodemográficas y laborales y a la escala Burnout Assessment Tool. Los datos se sometieron a análisis estadístico con regresión de Poisson, valor p < 0,10.
Resultados: El agotamiento emocional fue más prevalente entre los agentes comunitarios de salud (r = 0,37; p = 0,01) y los enfermeros (r = 0,52; p = 0,04). Los participantes con una buena alimentación presentaron un menor agotamiento emocional (r = 0,64; p < 0,001) y un menor control emocional (r = -0,97; p < 0,001); la mayor edad se asoció con un menor agotamiento (r = -0,20; p < 0,001). El uso continuo de medicamentos se asoció con un mejor distanciamiento mental (r = 0,39; p = 0,01). Los agentes comunitarios de salud tuvieron un menor deterioro cognitivo (r = 0,61; p = 0,09).
Conclusión: Se destaca la necesidad de crear un entorno de trabajo saludable, de autocuidado y de reducción del estrés laboral para mitigar el agotamiento de los profesionales que trabajaron durante la pandemia de covid-19.

Palabras clave (Fuente: DeCS):  Salud ocupacional; coronavírus; agotamiento profesional; Atención Primaria de Salud


Resumo

Introdução: O burnout é considerado um problema de saúde pública, tornando-se importante sua abordagem no cenário pandêmico de assistência à saúde.
Objetivo: Analisar o burnout em associação com características sociodemográficas e laborais de profissionais da Atenção Primária à Saúde na pandemia da covid-19.
Materiais e métodos: Estudo quantitativo, realizado de setembro de 2021 a fevereiro de 2022, em um município do Sul brasileiro, com 295 profissionais, dos quais 224 trabalhavam há pelo menos seis meses. Os participantes responderam a um formulário eletrônico com variáveis sociodemográficas e laborais e à escala Burnout Assessment Tool. Os dados foram submetidos à estatística analítica com regressão de Poisson, p-valor < 0,10.
Resultados: A exaustão emocional foi mais prevalente entre agentes comunitários de saúde (r = 0,37; p = 0,01) e enfermeiros (r = 0,52; p = 0,04). Participantes com boa alimentação apresentaram menor exaustão emocional (r = 0,64; p < = 0,001) e declínio no controle emocional (r = -0,97; p < 0,001); maior idade associou-se com menor exaustão (r = - 0,20; p < 0,001). O uso de medicamento contínuo associou-se com melhor distanciamento mental (r = 0,39; p = 0,01). Agentes comunitários de saúde tiveram menor declínio cognitivo (r = 0,61; p = 0,09).
Conclusão: Enfatiza-se a necessidade da construção de um ambiente de trabalho saudável, do autocuidado e da redução do estresse ocupacional para mitigar o burnout nos profissionais que atuaram na pandemia da covid-19.

Palavras-chave (Fonte DeCS): Saúde ocupacional; coronavírus; esgotamento profissional; Atenção Primária à Saúde



Introduction

The impact of the Coronavirus disease 2019 (COVID-19) pandemic on the population has been reflected in healthcare services 1. From this perspective, Primary Health Care (PHC) is the user's main gateway to health services, coordinating care and organizing the measures and services available in the health care network 2. This level of care, which already shows deficiencies in its structure and processes, suffered from the overload of the health system during the pandemic 3, which reflected on the work routine, leading to exposure to risk and illness among healthcare professionals 4.

Studies point to an increase in emotional burden as a result of work and the pandemic setting 5-7. In this sense, the COVID-19 pandemic has caused psychological distress due to the fear of contamination and transmission of the virus to family members, work overload, stress, uncertainty regarding the future, fear of the disease, reduced social relationships caused by isolation, long working hours, physical and emotional exhaustion, economic impacts, and death among family and friends 8-10.

All these circumstances stemming from the COVID-19 pandemic may have made professional relationships exhausting and stressful for PHC professionals, directly impacting their mental health 11,12. Among the possible psychological problems, burnout syndrome stands out, characterized as a state of profound exhaustion associated with the work environment due to the presence of extreme tiredness; the occurrence of mental detachment; and the inability to regulate cognitive and emotional processes 13. In this syndrome, the inability to use the necessary effort to perform work activities is captured through exhaustion and emotional and cognitive incapacity, and the lack of desire to perform them is analyzed through mental detachment 14.

Emotional exhaustion is characterized by chronic fatigue and a severe loss of physical and mental energy. Mental detachment represents the occurrence of a high level of aversion or reluctance towards work, combined with a cynical and indifferent attitude towards it. The cognitive disability dimension is defined by the occurrence of a decrease in the ability to regulate cognitive processes, resulting in deficits in memory, concentration, and attention 13,14. In turn, the main dimension corresponds to emotional disability, which encompasses a reduction in the ability to adequately regulate emotional processes. With this disability, individuals express their emotions intensely and experience feelings of overload regarding their own emotions.

Burnout syndrome has been found in studies with PHC health professionals 8,15,16. From this perspective, it is important to understand its dimensions in the workplace in the pandemic health care scenario, especially regarding the work of PHC professionals who have worked on the front line of the COVID-19 pandemic, since this syndrome has been considered a public health problem, given the increase in its incidence in recent years in several countries, especially in Brazil 17.

In light of the above, this study aims to assess burnout in association with the sociodemographic and work characteristics of PHC professionals during the 2019 COVID pandemic.

Materials and Methods

Study Design

This is a cross-sectional study, guided by the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guideline, used to report observational studies 18.

Data Collection Site

The setting for the study was a reference municipality for the training of healthcare professionals in the state of Rio Grande do Sul, Brazil, with an urban area of approximately 121 km2 and a population of 233,181 inhabitants 19 covered by 52 PHC teams, of which 29 were Primary Care Teams and 23 were Family Health Strategies.

Period

Data collection for the study was conducted from September 2021 to February 2022 using an electronic form (Google Forms). The invitation to participate in the study was sent by institutional email. After acceptance, data was collected in person by two previously trained nursing students.

Population

The population consisted of 295 healthcare professionals working in PHC services-medical doctors, nursing staff (nursing assistants, nurses, nursing technicians), dental staff (dental assistants and dentists), and community health workers (CHWs).

Selection Criteria

The inclusion criteria were being a healthcare professional in one of the aforementioned categories and having worked in PHC for at least six months. Healthcare professionals who were on vacation or leave of any kind during the data collection period were excluded from the study.

Sample Definition

The random sample consisted of 224 (75.9 %) PHC professionals who answered the electronic form.

Study Variables

Sociodemographic data were collected using dichotomous categorical variables, such as sex (female or male), skin color (white, black, brown, and others), and marital status (with or without a partner, married or single), as well as numerical variables (age, number of children, average hours of sleep within 24 hours, level of education, length of experience in the healthcare field and the healthcare unit). Work data included polytomous categorical variables, such as professional category, and dichotomous variables, such as supervisory or coordinating position (yes or no) and working in another job (yes or no).

Data on lifestyle and health habits related to the pandemic (use of continuous medication and illnesses) were obtained using dichotomous categorical variables (yes or no), as well as numerical variables (use of alcohol, diet, and physical activity). A seven-point Likert scale was used for the variables "alcohol use" and "physical activity" ("1" means never and "7" means always), and a five-point Likert scale for diet ('1' means very bad and "5" means very good).

Data Collection Instruments

To collect quantitative data, an online form prepared by the authors of the manuscript was used, based on the object of study. It is an instrument that has neither been validated nor refined, applied without a pilot test, with the aim of characterizing the participants through sociodemographic, work-related, pandemic-related, and health-related questions. It also included the Burnout Assessment Tool (BAT) scale -a work-related version- which assesses burnout syndrome, aiming to identify aspects that trigger it in association with work relationships and conditions.

The questionnaire included the following items: sex; age; skin color; level of education; marital status; number of children; average hours of sleep within 24 hours; use of alcoholic beverages; use of continuous medication; illnesses; diet; physical activity; professional category; coordination/supervision position; work in another job; length of experience in the healthcare field and the healthcare unit; and total weekly workload. The BAT was developed and validated in 2019 13 and was culturally adapted and validated for the Brazilian context in 2022 14. It is a Likert-type scale, with 23 questions related to primary symptoms, of which eight assess exhaustion; five, mental detachment; five, cognitive impairment; and five, emotional capacity 13. It is also a five-point scale, where 1 - never, 2 - rarely, 3 - sometimes, 4 - often, 5 - always 13. It should be noted that the BAT version for work, used in this study, lacks defined cut-off points and a classification of burnout.

Data Collection

Data collection was conducted following institutional authorization, in person, by two research assistants, using a tablet provided by the main researcher to access the instruments used to collect data via the electronic form. A mean time of 15 to 20 minutes was allotted for filling in the form. The survey was also publicized among PHC healthcare professionals by institutional e-mail, via the municipality's Continuing Education Center.

Data Treatment and Analysis

The data were coded and transferred to Microsoft Windows Excel software and analyzed using the Statistical Package for the Social Sciences (SPSS), version 20.0. The continuous variables were described using measures of central tendency and dispersion, namely: mean, standard deviation, and Cronbach's alpha.

The Shapiro-Wilk normality test was conducted to verify the distribution of the variables; the Chi-squared or Fisher's exact test, depending on the frequency of the cell, for the association between categorical variables; and Mann-Whitney for asymmetrical continuous variables. Pearson's bivariate correlations were conducted for symmetrical variables and Spearman's correlations for asymmetrical variables. The independent variables (exposure) were sociodemographic, work-related issues, lifestyle, and health habits. BAT was the dependent variable (outcome - burnout).

In the multivariate analysis, Poisson regression was used to verify the strengths of association, with robust variance expressed in the prevalence ratio and its respective confidence intervals (95 % CI). The criterion for including the variables in the final multiple regression model was a p-value < 0.10. The significance level adopted was a p-value < 0.05.

Ethical Aspects

The study respected the ethical considerations recommended by Resolution 466/2012 of the National Health Council, concerning research with human beings, and the standards applicable to research in the Humanities and Social Sciences, presented in Resolution 510/2016. It was approved by the Research Ethics Committee of the Universidade Federal do Rio Grande do Sul via Plataforma Brasil, under registration CAAE (Certificate of Presentation for Ethical Appreciation) 47666121.0.0000.5347 and Opinion 4.848.979, dated July 15, 2021. The informed consent form was sent along with the online form, ensuring confidentiality and anonymity in the use of the data.

Results

A total of 224 healthcare professionals participated in the study, of whom 34 (15.2 %) were medical doctors; 45 (20.1 %) were nurses; 16 (7.1 %) were dentists; 44 (19.7 %) were nursing technicians/ assistants and care assistants; 79 (35.3 %) were CHWs; and six (2.7 %) were dental assistants/attendants.

There was a prevalence of females (81.2 %), with a mean age of 43.84 years (± 10.41), self-declared white race/color (83.5 %), and 158 (70.5 %) were married or had partners. Regarding the health of the participants, 125 (55.8 %) used medication continuously, and 101 (44.1 %) lived with illnesses. In terms of employment data, 178 (79.5 %) had no other employment relationship, and 39 (17.4 %) had a coordinating/supervisory position.

Table 1 shows the factors of the BAT scale according to the domains of exhaustion, mental detachment, decline in cognitive control, and decline in emotional control. Table 2 shows the differences in means and correlations found between the factors of the BAT scale and the sociodemographic and work-related variables of PHC professionals. Table 3 shows the best Poisson regression model for the variables associated with burnout.

Table 1 Descriptive Statistics and Cronbach's Alpha of the BAT Scale Factors. Porto Alegre, Rio Grande do Sul, Brazil, 2024 

Factor

Item

Mean

Standard deviation

Cronbach’s alpha

Exhaustion (µ = 2.80; SD = 0.63)

At work, I feel mentally exhausted.

3.39

1.10

0.91

Everything I do at work requires a lot of effort.

2.90

1.10

I find it difhcult to recover my energy after a day of work.

1.16

2.76

At work, I feel physically exhausted.

2.87

1.23

When I wake up in the morning, I lack energy to start a new day at work.

2.64

1.29

Mental detachment (µ = 1.92; DP = 0.65)

I want to be active at work, but somehow, I cannot manage it.

2.30

1.25

0.88

When I work hard, I become tired more quickly than usual.

2.30

1.23

At the end of my working day, I feel mentally exhausted and drained.

3.31

1.25

I struggle to find any enthusiasm for my work.

2.35

1.37

I do not think about what I am doing in my job; I work on autopilot.

2.26

1.25

I feel a strong aversion to my job.

1.59

1.04

I feel indifferent about my job.

1.63

1.06

I am pessimistic about what my work means to others.

1.80

1.16

At work, I have difhculty staying focused.

1.77

1.06

Decline in cognitive control (µ = 1.87; DP = 0.63)

At work, I make an effort to think clearly.

2.29

1.36

0.89

I am forgetful and distracted at work.

1.86

1.13

I have difficulty concentrating when I am working.

1.81

1.05

I make mistakes at work because my mind is focused on other things.

1.65

0.96

Decline in emotional control (µ = 1.79; DP = 0.60)

At work, I feel unable to control my emotions.

1.75

1.00

0,90

I do not recognize how I react emotionally at work.

1.63

1.02

During work, I become irritable when things do not go the way I want.

2.10

1.11

I become dissatisfied and sad at work without knowing why.

1.80

1.13

At work, I can have unintentionally exaggerated reactions.

1.71

1.05

Note: Considering the asymmetrical distribution of the continuous variables, the Mann-Whitney test was used. However, it was decided to present the means and standard deviation to facilitate the interpretation of the findings.
Source: Prepared by the authors.

Table 1 shows the descriptive statistics for the BAT factors: Emotional exhaustion (μ = 2.80; SD = 0.63), mental detachment (μ = 1.92; SD = 0.65), decline in cognitive control (μ = 1.87; SD = 0.63), decline in emotional control (μ = 1.79; SD = 0.60), and their respective Cronbach's alpha coefficients.

Table 2 Mean Differences and Spearman Correlations between the Factors of the BAT Scale and the Sociodemographic and Work-Related Variables of PHC Healthcare Professionals during the COVID-19 Pandemic. Porto Alegre, Rio Grande do Sul, Brazil, 2024 

BAT Factors

Burnout

Mental
Detachment

Decline in
cognitive control

Decline in
emotional control

Variables

Mean ± SD

p

Mean ± SD

p

Mean ± SD

p

Mean ± SD

p

Sex

Female Male

2,84±0,95
2,63±0,94

0,18

1,91±0,95
1,98±1,09

0,66

1,90±0,90
1,77±1,12

0,43

1,85±0,88
1,55±0,95

0,05

Idade*

-0,14

0.03

0,001

0,95

-0,02

0,69

0,001

0,84

Cor da pele

White
Black, brown, other

2,76±0,94
3,03±0,96

0,11

1,89±0,96
2,06±1,09

0,35

1,85±0,94
2,00±0,98

0,36

1,77±0,87
1,94±1,04

0,30

Hours of sleep*

-0,08

0,22

0,001

0,81

-0,06

0,34

-0,05

0,47

Marital status

Without a partner
With a partner

2,89±0,88
2,77±0,97

0,37

2,03±1,01
1,88±0,97

0,30

1,86±0,95
1,88±0,95

0,90

1,83±0,92
1,78±0,90

0,65

Number of children*

0,04

0,53

0,08

0,20

0,08

0,21

0,07

0,23

Continuous medication

No
Yes

2,56±0,87
3,00±0,96

0,00
1

1,72±0,88
2,08±1,02

0,00
1

1,67±0,86
2,03±0,98

0,00
1

1,60±0,79
1,95±0,95

0,00
1

Living with a disease

No
Yes

2,57±0,87
3,08±0,97

0,00
1

1,79±0,94
2,08±1,01

0,03

1,74±0,93
2,03±0,94

0,02

1,64±0,84
1,98±0,95

0,00
1

Level of education

0,03

0,57

-0,03

0,64

0,001

0,99

-0,01

0,79

Professional category

Medical doctor

2,60±0,95

1,70±0,85

1,66±0,84

1,48±0,68

Nurse

2,93±0,91

1,87±0,96

1,93±0,97

1,87±0,88

Dentist

2,29±0,66

1,68±0,74

1,46±0,60

1,50±0,61

Nursing technician/ assistant

2,71±1,08

1,67±0,91

1,75±0,97

1,67±0,85

Health workers/Care assistants

0,01

0,00
1

0,00
1

0,00
1

CHWs

3,02±0,90

2,29±1,05

2,14±0,97

2,06±1,03

Time of experience working in the field of healthcare*

2,10±0,28

1,30±0,20

1,13±0,24

1,26±0,16

Tempo de experiência na área da saúde*

-0,17

0,00
1

-0,07

0,25

-0,08

0,21

-0,08

0,25

Tempo experiência na unidade de saúde*

0,10

0,13

0,19

0,00
1

0,08

0,21

0,13

0,06

Weekly workload*

0,09

0,15

0,001

0,84

0,06

0,35

0,001

0,84

Coordination/supervision position

No
Yes

2,80±0,96
2,81±0,90

0,96

1,95±1,01
1,80±0,82

0,39

1,89±0,98
1,77±0,79

0,48

1,80±0,94
1,75±0,68

0,76

Working in another job

No
Yes

2,79±0,95
2,87±0,96

0,59

1,93±0,96
1,88±1,06

0,73

1,89±0,95
1,80±0,92

0,59
1,79±

1,80±0,88
1,01

0,94

Alcohol use*

-0,06

0,37

-0,06

0,36

0,02

0,66

-0,06

0,38

Diet evaluation*

-0,18

1

-0,22

1

-0,10

0,00

-0,18

0,00
1

Days of physical activity*

-0,01

0,84

0,04

0,48

0,05

0,49

0,001

0,99

Note: Given the asymmetrical distribution of the continuous variables, the Mann-Whitney test was used.
However, for presentation purposes, it was decided to include the means and standard deviation in the table to facilitate the interpretation of the findings.
*Spearman correlations
Source: Prepared by the authors.


Table 2 shows the differences in means and correlations between the BAT factors and the sociodemographic and work-related variables of PHC professionals during the COVID-19 pandemic. It is therefore related to Table 1, as it shows the association between the factors and the BAT scale, according to its four domains.

Table 3 Poisson Regression Model for Variables Associated with Burnout. Porto Alegre, Rio Grande do Sul, Brazil, 2024 

BAT factors

Emotional exhaustion

Mental detachment

Decline in
cognitive control

Decline in
emotional control

Variables

RP
(95 % CI)

P

RP
(95 % CI)

P

RP
(95 % CI)

P

RP
(95 % CI)

P

Age

-0.20
(-0.31/- 0.00)

0.0
01

-

-

-

Continuous
medication

0.25
(-0.51/0.55)

0.1
0

0.39
(0.07/0.80)

0.0
1

0.30
(- 0.12/0.62)

0.6
0

0.26
(- 0.48/0.56)

0.1
0

Professional category

Nurse

0.52
(0.24/1.00)

0.0
4

-0.18
(- 0.33/0.70)

0.4
8

-0.37
(- 1.21/0.48)

0.4
0

-0.40
(- 1.20/0.42)

0.3
4

CHWs

0.37
(-0.13/0.87)

0.0
1

0.43
(-0.08/0.920)

0.1
1

0.61
(0.12/1.10)

0.0
9

0.53
(- 0.44/0.55)

0.8
3

Diet
evaluation

0.64
(0.18/1.10)

0.0
01

-0.24
(-0.37/-0.11)

0.0
01

-0.10
(- 0.24/0.26)

0.1
2

-0.17
(-0.30/-0.05)

0.0
01

Note: The age variable does not present regression for the domains of mental detachment, decline in cognitive control, and decline in emotional control.
Source: Prepared by the authors.


In Table 3, 'emotional exhaustion' presented higher levels in CHWs (r = 0.37; p = 0.01) and nurses (r = 0.52; p = 0.04). Professionals who had a good diet presented lower emotional exhaustion (r = 0.64; p < 0.001) and a decline in emotional control (r = -0.97; p < 0.001); those who were older also presented lower exhaustion (r = - 0.20; p < 0.001). The use of continuous medication was associated with better mental detachment (r = 0.39; p = 0.01). As for 'decline in cognitive control,' CHWs presented lower cognitive decline (r = 0.61; p = 0.09).

Discussion

This study assessed burnout in association with the sociodemographic and work characteristics of PHC professionals during the COVID-19 pandemic. Findings show that professionals who had a better diet during this period had less emotional exhaustion.

This result is corroborated by the findings of another study, in which participants who had a healthy diet reported not feeling mentally exhausted 20. Furthermore, this study reinforces the importance of the finding, since physical exercise, rest, and ade quate nutrition are described in the scientific literature as practices that prevent mental health problems and improve immunity, especially in a pandemic setting 20,21.

There is a need to recognize the value of adopting these practices by professionals, since reducing emotional exhaustion contributes significantly to better performance by professionals who, if faced with severe levels of loss of physical and mental energy, are unable to perform their work activities to the best of their ability, which can strain the coexistence of team members 22,23.

The mean age of the participants studied was 43.84 years (± SD), similar to that of another Brazilian study on the theme 24. The study identified an association between older professionals and lower emotional exhaustion. In other words, it is hypothesized that experience contributed to better coping with the pandemic. Similarly, an international study identified a high number of young professionals with high emotional exhaustion scores 25. In this sense, it is believed that emotional ability is closely related to better coping with the problems and emotional stress generated by the pandemic.

In addition, both national and international studies show that younger professionals are the ones who report less professional fulfillment, especially in times of instability, such as during the COVID-19 pandemic, as they have no previous experience of this nature 5,25. However, a study conducted in Germany revealed an opposite result to that of this study, since professionals over the age of 55 reported higher levels of stress, exhaustion, and depressive mood, as well as lower levels of professional fulfillment compared to their peers 26.

When analyzing the factor use of continuous medication, there was an association with participants showing better mental detachment. Thus, it is worth noting that, although the use of continuous medication is associated with better coping in these cases, this practice also raises concerns, such as the potential to generate dependency. In contrast to the findings of this manuscript, a European study showed that higher rates of emotional exhaustion were associated with professionals who used continuous medication 27.

Another study proposed a reflection on the harmful use of medication in relation to the current paradigm that all conflict and suffering must be eliminated, even if this leads to an increase in the use of psychotropic medication, a technique considered valid in a society that imposes the search for constant productivity, health, and success, and in which suffering, as an obstacle to these ideals, is a target condition for interventions 28.

A study conducted in China with professionals from the nation of Taiwan found that those who did not use medication during the pandemic maintained lower levels of stress and occupational burnout. However, those who used complementary practices, such as meditation, were also better able to cope with the adversities imposed by the COVID-19 pandemic 26.

An American study suggests that occupational burnout is not only prevalent among professionals who use medication, but also among those who misuse psychotropic medication based on their occupational level. However, these medications need to be used correctly and with the guidance of a specialized professional 30.

Regarding mental detachment, there was a significant association between participants who had a healthy diet and those who reported better mental detachment. This was also shown by another study, in which workers who reported consuming foods such as low-fat dairy products, fruit, vegetables, and white meat were associated with a lower level of burnout symptoms 31.

Thus, there is a need for professionals to seek the inclusion of functional foods in their diet that adequately regulate the response to burnout, as well as focus on the prevention and treatment of associated psychological disorders, particularly burnout symptoms 32.

The study also contradicts these findings and states that professionals suffering from burnout tend to eat emotionally and uncontrollably, that is, they eat in response to negative emotions 33. Stress factors also promote a tendency to overeat, leading professionals to opt for comfort foods which, when consumed, generate a temporary reduction in stress and provide a superficial feeling of well-being 34.

Based on the results obtained, it is important for professionals to maintain their habits based on healthy eating, since healthcare professionals have a complex routine that often leads them to eat at any time during a 24-hour period, increasing weight gain and causing obesity 35.

In addition, there is a need to implement strategies in their routine with the aim of promoting an adequate diet, by planning healthy meals and making choices based on balanced nutritional tables, ensuring these professionals' intake of beneficial nutrients 36.

This study found that CHWs were associated with a greater decline in cognitive control and emotional exhaustion. A scoping review study reiterated that the COVID-19 pandemic has had unfavorable repercussions on the mental health of CHWs working in PHC, especially in terms of feelings of hopelessness, fear, and anguish, which are directly associated with these professionals 37.

Corroborating the above, a Brazilian study also found a significant increase in emotional tension and chronic stress in these professionals, in addition to physical, emotional, and psychological working conditions. These factors contributed to the lower performance of these professionals 38.

It is therefore of the utmost importance that work institutions adopt strategies and measures aimed at minimizing mental health problems for these professionals, as well as promoting training and preventive measures to eliminate and/or reduce these symptoms in their staff. Furthermore, responsibility for the health of staff is vital to the quality of the care they provide 39.

Furthermore, this study found that nursing professionals also sustained high levels of emotional exhaustion during the study period. A study conducted in Spain showed that nursing professionals were the ones with the most symptoms and medical diagnoses of burnout syndrome, directly associated with job dissatisfaction and psychosomatic health problems 40.

In this sense, it is necessary to highlight the factors that influence these emotions, since these professionals deal daily with the negative feelings of patients, peers, and family members, which can trigger similar emotions and feelings in nurses, influencing the perceived stress among them and leaving them more vulnerable to emotional exhaustion 41. In addition, greater professional demands, workload, work complexity, professional pressure, and working hours during the COVID-19 pandemic are all factors that increase work-related stress among nurses, leading to emotional exhaustion 42.

Moreover, this is a concerning issue, as it is well known that these professionals have been struggling for years in search of strategies to minimize the symptoms generated by burnout and other psychological problems that affect this class more often than other healthcare professionals. In this context, the scientific literature already indicates that nursing professionals are currently dealing not only with their own feelings, but also with the negative feelings of their patients, consequences that affect family members, colleagues, and healthcare organizations 43.

It is estimated that burnout has caused an economic loss of more than a billion dollars to the public budget, due to expenses related to training and hiring new professionals, as some become unable to cope with the mental and physical challenges caused by this syndrome and decide to quit their jobs 44,45.

After analyzing all the aforementioned aspects, the manuscript reflects upon the importance of burnout, since work-related psychological problems, including emotional exhaustion, also represent an economic burden for health systems, for society and, in particular, for the people who are affected by this condition.

Conclusion

In the domain of emotional exhaustion, the study identified higher levels in professional nurses and CHWs, and lower levels in those who had a healthier diet. In the mental detachment domain, it was found that participants who used continuous medication were the best performers. However, those who followed a healthier diet had less mental detachment.

As for the decline in cognitive control, it was noted that CHWs showed the greatest association with high rates, but professionals who maintained a healthy diet in this domain had the least decline in cognitive control. This emphasizes the need for interventions to expand strategies to minimize the dimensions that comprise burnout in healthcare professionals, making it essential to devise public health policies to subsidize care and management measures.

The main limitation of the present study is the low geographical representativeness of the sample, which hinders the generalization of the findings, as well as the scarcity of comparative studies in the field. This highlights the need for longitudinal and multicenter studies to expand and deepen the results obtained.

The study highlights the need to strengthen measures aimed at healthcare professionals' self-care, building a healthy work environment and reducing occupational stress levels among PHC professionals who have worked during the COVID-19 pandemic to enable safe and comprehensive care for users, as recommended by public health policies.

Conflicts of interest: None declared.



References

1. Crowe S, Howard AF, Vanderspank WB, Gillis P, McLeod F, Penner C, et al. The effect of COVID-19 pandemic on the mental health of Canadian critical care nurses providing patient care during the early phase pandemic: A mixed method study. Intensive Crit Care Nurs. 2021; 63:102999. DOI: https://doi.org/10.1016/j.iccn.2020.102999

2. Brasil. Ministerio da Saude. Gabinete do Ministro. Portaria no 2.436 de 21 de setembro de 2017. Aprova a Politica Nacional de Atencao Basica, estabelecendo a revisao de diretrizes para a organizacao da Atencao Basica, no ambito do Sistema Unico de Saude (SUS) [Internet]. Brasilia: Ministerio da Saude; 2017. Disponivel em: https://bvsms.saude.gov.br/bvs/saudelegis/gm/2017/prt2436_22_09_2017.html

3. Medina MG, Giovanella L, Bousquat A, Mendonca MHM, Aquino R. Primary healthcare in times of COVID-19: What to do?. Cad Saude Publica. 2020;36(8):e00149720. DOI: https://doi.org/10.1590/0102-311x00149720

4. World Health Organization. WHO calls for healthy, safe and decent working conditions for all health workers, amidst COVID-19 pandemic [Internet]. 2020. Disponivel em: https://www.who.int/news/item/28-04-2020-who-calls-for-healthysafe-and-decent-working- conditions-for-all-health-workersamidst-covid-19-pandemic

5. Santos HMM, Fontes CF, Lima DS. Burnout syndrome and quality of life of primary health care professionals during the COVID-19 pandemic in the municipality of the Brazilian Amazon. Debates em Psiquiatria. 2022;12:1-19. DOI: https://doi.org/10.25118/2763- 9037.2022.v12.410

6. Pedrosa BL, Santos JDF, Silva TCL, Alves LC, Araujo CAFL, Rego MA. Prevalence of Burnout Syndrome in primary health care professionals when dealing with COVID-19. REAS. 2022;15(10):e10983. DOI: https://doi.org/10.25248/reas.e10983.2022

7. Temsah M, Al-Sohime F, Alamro N, Al-Eyadhy A, Al- Hasan K, Jamal A, et al. The psychological impact of COVID-19 pandemic on health care workers in a MERS-CoV endemic country. J Infect Public Health.2020;13(6):877-82. DOI: https://doi.org/10.1016/j.jiph.2020.05.021

8. Costa WA, Carvalho NC, Coelho PAB, Silva KMJO. Burnout and patient safety in Primary Health Care: legal-sanitary aspects in times of the COVID-19 pandemic. Cad. Ibero-amer. Dir. Sanit. 2022;11(3):133-47. DOI: https://doi.org/10.17566/ciads.v11i3.934

9. Pfefferbaum B, North CS. Mental Health and the Covid-19 Pandemic. N Engl J Med. 2020;383:510-12. DOI: https://doi.org/10.1056/NEJMp2008017

10. Liang T. Handbook of COVID-19: Prevention and treatment [Internet]. Paris: International Association of Universities, UNESCO. 2020. Disponivel em: https://globalce.org/downloads/Handbook_of_COVID_19_Prevention_en_Mobile.pdf

11. Mo Y, Deng L, Zhang L, Lang Q, Liao C, Wang N, et al. Work stress among Chinese nurses to support Wuhan in fighting against COVID-19 epidemic. J Nurs Manag. 2020;13(4):856-21. DOI: https://doi.org/10.1111/jonm.13014

12. Lima AS, Farah BF, Bustamante TMT. Analysis of the prevalence of burnout syndrome in professionals of primary health. Trab educ saude. 2018;16(1):283-304. DOI: https://doi.org/10.1590/1981-7746-sol00099

13. Schaufeli WB, Witte H, Desart S. Manual Burnout Assessment Tool (BAT). Publisher: KU Leuven, Belgium; 2019.

14. Sinval J, Vazquez ACS, Hutz CS, Schaufeli WB, Silva S. Burnout Assessment Tool (BAT): Validity Evidence from Brazil and Portugal. International Journal of Environmental Research and Public Health. 2022;19(3):1344. DOI: https://doi.org/10.3390/ijerph19031344

15. Ribeiro LM, Vieira TA, Naka KS. Burnout syndrome in healthcare professionals before and during the COVID-19 pandemic. REAS. 2020;12(11):e5021. DOI: https://doi.org/10.25248/reas.e5021.2020

16. Dubale BW, Friedman LE, Chemali Z, Denninger JW, Mehta DH, Alem A, et al. Systematic review of burnout among healthcare providers in sub-Saharan Africa. BMC Public Health. 2019;19(1):e1247. DOI: https://doi.org/10.1186/s12889-019-7566-7

17. Jarruche LT, Mucci S. Burnout syndrome in healthcare professionals: An integrative review. Rev Bioet. 2021;29(1):162-73. DOI: https://doi.org/10.1590/1983-80422021291456

18. Von EE, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies [Internet]. Oxford: The UK Equator Centre; 2007. https://doi.org/10.1371/journal.pmed.0040296

19. Instituto Brasileiro de Geografia e Estatistica. Censo Demografico 2010 [Internet]. Rio de Janeiro: IBGE; 2010. Disponivel em: https://cidades.ibge.gov.br/

20. Ampos LF, Vecchia LPD, Tavares JP, Camatta MW, Magnago TSBS, Pai DD. Implications of nursing performance in coping with COVID-19: Emotional exhaustion and strategies used. Esc Anna Nery. 2023;27:e20220302. DOI: https://doi.org/10.1590/2177-9465-ean-2022-0302pt

21. Fernandez LD, Gonzalez BJJ, Sanchez SN, Navascues LJ, Ascaso DRA, Mielgo AJ. Physical exercise as a multimodal tool for COVID-19: Could it be used as a preventive strategy? Int J Environ Res Public Health. 2020;17(22):84-96. DOI: https://doi.org/10.3390/ijerph17228496

22. Wilson CA, Metwally H, Heavner S, Kennedy AB, Britt TW. Chronicling moral distress among healthcare providers during the COVID-19 pandemic: A longitudinal analysis of mental health strain, burnout, and maladaptive coping behaviours. Int J Ment Health Nurs. 2022;31(1):111-27. DOI: https://doi.org/10.1111/inm.12942

23. Villagran CA, Dalmolin GL, Barlem ELD, Greco PBT, Lanes TC, Andolhe R. Association between Moral Distress and Burnout Syndrome in university-hospital nurses. Rev Latino-Am Enfermagem. 2023;31:e3747. DOI: https://doi.org/10.1590/1518-8345.6071.3747

24. Magalhaes AMM, Trevilato DD, Pai DD, Barbosa A da S, Medeiros NM, Seeger VG, et al. Professional burnout of nursing team working to fight the new coronavirus pandemic. Rev Bras Enferm. 2022;75:e20210498. DOI: https://doi.org/10.1590/0034-7167-2021-0498

25. Barello S, Palamenghi L, Graffigna G. Burnout and somatic symptoms among frontline healthcare professionals at the peak of the Italian COVID-19 pandemic. Psychiatry Research. 2020;290:113129. DOI: https://doi.org/10.1016/j.psychres.2020.113129

26. Zerbini G, Ebigbo A, Reicherts P, Kunz M, Messman H. Psychosocial burden of healthcare professionals in times of COVID-19 A survey conducted at the University Hospital Augsburg. Ger Med Sci. 2020;(18):1-9. DOI: https://doi.org/10.3205/000281

27. Soler JK, Yaman H, Esteva M. Burnout in european general practice and Family medicine.

28. Soc Behav Pessoal Int J. 2022;35(8):1149-50. DOI: https://doi.org/10.2224/sbp.2007.35.8.1149

29. Oliveira V, Guimaraes DA, Gama CAP, Coelho VAA, Coelho FBP. Tensioning in Mental Healthcare related to Psychoactive Substance use: difficulties reported by public health professionals. Saude debate. 2023;47(137):133-45. DOI: https://doi.org/10.1590/0103-1104202313709

30. Hsieh HF, Huang YT, Ma SC, Wang YW. Occupational burnout and stress of nurses in Taiwan regarding COVID-19: An intervention with gong medication. J Nurs Manag. 2022;30(8):3909-17. DOI: https://doi.org/10.1111/jonm.13653

31. Hoopsick RA, Las S, Sun R. Differential effects of healthcare worker burnout on psychotropic medication use and misuse by occupational level. Soc Psychiatry Psychiatr Epidemiol. 2023;5(6):1-11. DOI: https://doi.org/10.1007/s00127-023-02496-y

32. Penttinen MA, Virtanen J, Laaksonen M, Erkkola M, Vepsalainen H, Kautiainen H, Korhonen P. The Association between Healthy Diet and Burnout Symptoms among Finnish Municipal Employees. Nutrients. 2021;13(7):2393. DOI: https://doi.org/10.3390/nu13072393

33. Vasquez-Puri C, Plaza-Ccuno JNR, Soriano-Moreno AN, Calizaya- Milla YE, Saintila J. Burnout, Fat Intake, and Body Mass Index in Health Professionals Working in a Public Hospital: A Cross-Sectional Study. Inquiry. 2023;60:e469580231189601. DOI: https://doi.org/10.1177/00469580231189601

34. Calderon-Asenjo RE, Jalk-Munoz MC, Calizaya-Milla YE, Calizaya-Milla SE, Ramos- Vera C, Saintila J. Association Between Emotional Eating, Sociodemographic Characteristics, Physical Activity, Sleep Duration, and Mental and Physical Health in Young Adults. J Multidiscip Saude. 2022;15:2845-59. DOI: https://doi.org/10.2147/JMDH.S391752

35. Ateş OB, Yeşilkaya B. Adverse effect of emotional eating developed during the COVID- 19 pandemic on healthy nutrition, a vicious circle: A cross-sectional descriptive study. Rev Esp Nutr Hum y Diet. 2021;25: e1144. DOI: https://doi.org/10.14306/renhyd.25.S2.1144

36. Gao J, Zheng P, Jia Y, Chen H, Mao Y, Chen S, Wang Y, Fu H, Dai J. Mental health problems and social media exposure during COVID-19 outbreak. PLoS One. 2020;15(4):e0231924. DOI: https://doi.org/10.1371/journal.pone.0231924

37. Lima JPM, Costa SA, Brandao TRS, Rocha A. Food consumption determinants and barriers for healthy eating at the Workplace-A university setting. Foods. 2021;10(4):1-13. DOI: https://doi.org/10.3390/foods10040695

38. Schons AK, May AF, Muller CT, Albuquerque FMP, Rodrigues EF, Lachno MS. Repercussoes da pandemia da covid-19 nos profissionais de saude: como esta quem esta na linha de frente?. Arch. Health. 2021;2(3):359-76. DOI: https://doi.org/10.46919/archv2n3-014

39. Souza NVDO, Carvalho EC, Soares SSS, Varella TCMYML, Pereira SRM, Andrade KBS de. Nursing work in the COVID-19 pandemic and repercussions for workers’ mental health. Rev Gaucha Enferm. 2021;42(spe):e20200225. DOI: https://doi.org/10.1590/1983- 1447.2021.20200225

40. Soto-Rubio A, Gimenez-Espert MDC, Prado-Gasco V. Effect of Satisfaction, and Nurses’ Health during the COVID-19 Pandemic. Int J Environ Res Public Health. 2020;17(21):79-98. DOI: https://doi.org/10.3390/ijerph17217998

41. Joshi G, Sharma G. Burnout: A risk factor amongst mental health professionals during COVID-19. Asian J Psychiatr. 2020;54:102300. DOI: https://doi.org/10.1016/j.ajp.2020.102300

42. Galanis P, Vraka I, Fragkou D, Bilali A, Kaitelidou D. Nurses’ burnout and associated risk factors during the COVID-19 pandemic: A systematic review and meta-analysis. J Adv Nurs. 2021;77(8):3286-302. DOI: https://doi.org/10.1111/jan.14839 [42]

43. Pappa S, Ntella V, Giannakas T, Giannakoulis, VG, Papoutsi E, Katsaounou P. Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis. Brain Behav Immun. 2020;88:901-7. DOI: https://doi.org/10.1016/j.bbi.2020.05.026 [43]

44. Patel RS, Bachu R, Adikey A, Malik M, Shah M. Factors related to physician burnout and its consequences: A review. Behav Sci. 2019;8(11):1-7. DOI: https://doi.org/10.3390/bs8110098 [44]

45. Wright AA, Katz IT. Beyond burnout - redesigning care to restore meaning and sanity for physicians. New Engl J Med. 2019;378(4):309-11. DOI: https://doi.org/10.1056/NEJMp1716845 [45]




Home