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ORIGINAL RESEARCH article

Front. Public Health, 23 April 2024
Sec. Occupational Health and Safety
This article is part of the Research Topic Environmental and occupational exposure and chronic diseases View all 24 articles

Prevalence of work-related burnout and associated factors among police officers in central Gondar zone, Northwest Ethiopia, 2023

  • 1Department of Occupational Health and Safety, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
  • 2Department of Environmental and Occupational Health and Safety, College of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia
  • 3Department of Environmental Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia

Introduction: Work-related burnout is a state of physical and psychological fatigue and exhaustion resulting from chronic workplace stress related to work. The police workforce is vulnerable to this psychosocial hazard, which affects service delivery by police workers. However, there is little evidence about the prevalence of work-related burnout and associated factors among police officers in Ethiopia. Therefore, this research investigated the prevalence and predictor variables of work-related burnout among police officers in central Gondar zone, Northwest Ethiopia, 2023.

Methods: An institution-based cross-sectional study was carried out from April 12 to May 12, 2023. A sample of 633 police officers was recruited through multistage random sampling techniques. To measure work-related burnout, a standardized, self-administered Copenhagen Burnout Inventory was used. To enter the collected data, EpiData V 4.6 and to analyze SPSS V 26 were used. To examine the association between work-related burnout and its predictor variables, both bivariable (p < 0.2) and multivariable (<0.05) logistic regression analyses were performed, and statistical significance was established via multivariable logistic regression.

Results: The response rate in this study was 96.05% (n = 608). The majority, 452 (74.3%) of the police officers, were male; the median (IQR) age of participants was 28. In the past six months, 45.7% of the police officers had experienced work-related burnout (n = 278). Being female, having a high job demand, having a high level of organizational police stress, having a moderate level of operational police stress, having a high level of operational police stress, experiencing job dissatisfaction, and sleeping troubles were risk factors significantly related to the occurrence of work-related burnout among police officers.

Conclusion: According to this study, a significant number of police officers suffer from burnout due to their work. Police officers’ work-related burnout was found to be influenced by factors such as sex, job demands, job satisfaction, workplace stress, organizational police stress, and sleeping troubles. To address this problem, improving the handling of work pressure, developing a stress management program, finding joy at work by improving interpersonal relationships and working conditions, offering support and inspiration to female police officers, and ensuring sufficient and restful sleep are advised.

Introduction

Work-related burnout (WRB) is a condition of both physical and psychological fatigue and exhaustion that arises due to the inability to effectively cope with chronic stress in the workplace (1). It is a gradual decline in enthusiasm, motivation, vitality, and empathy due to the demands of the job (2). It is distinguished by feelings of fatigue, a greater mental distance from one’s work, feelings of cynicism about one’s employment, and a decline in professional competence (3). According to the 11th International Classification of Diseases (ICD-11), burnout is considered an “occupational phenomenon” by the World Health Organization (WHO) (4). WRB is a prominent occupational hazard of the twenty-first century, and it is presently attaining epidemic proportions in the realm of employment, impacting worker efficiency and diminishing organizational effectiveness (5).

Police work is mandatory for the development of a country since national development might not be feasible if a nation’s peace and security are at stake, and without it, there is a threat due to civil unrest and insecurity. Police officers therefore play a crucial role in upholding public order, combating crime, and enforcing the law (6). There are numerous professional challenges that make police work vulnerable to work-related burnout. Their job is one of the most demanding and stressful jobs in the world (7), characterized by long working hours, demanding schedules, irregular shift work, and frequent night shifts, which revealed burnout (8). In addition, on a daily basis, they face challenging and potentially dangerous situations, such as the occurrence of murder, and violent crimes are frequent. They also regularly encounter distressing situations and stressors associated with managing and organizing their work, and these demanding job requirements and responsibilities might lead to more time constraints and less flexibility in how the work is done, which leads to psychological strain and burnout (9, 10). When comparing occupational stress among different professions, police work was the second-most stressful and challenging job (11), with a wide range of operational and work-related stressors, such as face-to-face violence, negative interactions with citizens (12), continued critical life-threatening situations, and injuries that put them at risk for burnout. This stress, in turn, adversely affects their mental and physical well-being, performance, and interactions with the public. Mental health problems become rampant due to the increasing prevalence of precursors, including burnout, depression, and anxiety among police officers (13). Police officers had a higher suicide rate than the whole working population as a result of burnout at work (14). Work-related burnout is the most common cause of reduced productivity, absenteeism, suicidal ideation (15), worse job performance, increased turnover (16), cynicism, fatigue, aggression, violence (11), alcohol or substance misuse (17), and physical health issues (e.g., high blood pressure, ischemic heart disease, poor sleep, cardiovascular disease, obesity, etc., compared with the general population) (18).

The peculiar nature of policing increasingly becomes a reason for the ever-growing burden of work-related burnout around the world (19). In the United States, 19% were emotionally exhausted, and 13% experienced severe depersonalization (20), Spain (32.2%) (21), Sweden (28%) (22), and Chile (28%) (23). In a developing country, Bulgaria (74.53%) (24); Mexico (31.1%) (25); South Africa, where a high prevalence of exhaustion and cynicism was due to passive coping strategies (26); and Kenya (30.9%) (27). The occurrence of WRB among police officers is multifactorial: inadequate salary and unpaid overtime; excessive workloads (28); work–family conflicts (29); overburdened administrative roles; policy changes; and staff shortages (30).

Previous research has shown that sex (17, 31, 32), age (33, 34), years of experience (21, 35, 36), educational level (37), marital status and family size (21), monthly salary (38), organizational rank, and working position (39) all play a role in burnout. For example, the highest stressor that causes burnout in police officers is experienced after six to ten years (36), and accumulated experience leads to wisdom and better coping skills (35); police officers who did not have a partner scored significantly higher on the burnout scale than did those who did; and police officers without children showed a higher level of personal achievement than did those with children (21). Organizational rank and working positions were statistically associated with burnout; that is, the rate of burnout increases with seniority and is greater in day-to-day criminal investigations than in other roles (39). Low salaries were the main predictor of burnout (38). Officers with higher educational levels were less affected by burnout (37). Rural police officers were more likely to experience somatization as compared with their urban counterparts, and the perceived inadequate resources and training may partly explain the rural–urban differences (40). Urban police officers are more likely to have both depression and burnout, and the rise in burnout symptoms explains the depressive symptoms (41). Police officers who smoke, take substances that make them drowsy, or promote sleep usage in an attempt to remain awake, which leads to burnout, increased stress, and errors due to tiredness (42). Physical activity has been demonstrated to be positively and significantly correlated with a lower risk of burnout (17, 43). Several studies have investigated the psychosocial health indicators associated with WRB. For example, officers who worked more extended shifts had a greater chance of experiencing emotional exhaustion (44), and those who worked both day and night shifts more commonly experienced high levels of burnout compared with those who worked only during the daytime (45). The main predictors of burnout are inadequate resources and an overwhelming workload (38), and burnout increases with poor leadership, role conflicts, the fear of violence, and time constraints (39). Workplace control, job demand, and job uncertainty are all associated with burnout (31). Job dissatisfaction was the main predictor of burnout (46). Dealing with family conflicts, abusing children, killing someone while performing their duties, and witnessing the death of a fellow officer are the most commonly reported stressors that cause burnout (47).

Higher levels of social support were protective factors against burnout (48). Excessive demands on individuals’ ability to control, work overload, role conflicts and ambiguity, personal work relationships, lack of recognition, little or no participation in decisions, and job stability uncertainty are critical factors that contribute to work stress and ultimately burnout (25). Organizational factors, including inadequate resources, poor working conditions, feeling unfairly compensated, a lack of opportunities for promotion, and inadequate time with family, are causes of burnout (49). Work-related burnout needs to be addressed immediately, as it is the most significant health issue affecting the service delivery of policing in Ethiopia. However, there is scanty evidence regarding the prevalence of WRB and its predicted variables among police officers. Therefore, this study was carried out to investigate the prevalence and predicted variables of WRB among police officers in central Gondar zone, Northwest Ethiopia. The findings of this research will offer baseline information for designing and promoting wellness programs for specific professionals to minimize and control WRB. In addition, the study’s findings will give pertinent information for stakeholders, police administrators, and legislators to develop and put into practice efficient preventive and control measures.

Methods and materials

Study design, period, and setting

An institutional-based cross-sectional study was carried out from April 12 to May 12, 2023. The study was conducted in the central Gondar zone, which is the oldest and most historical place in northwestern Ethiopia. It is located 737 km from Addis Ababa, the capital city of Ethiopia, and 173 km from Bahirdar, the regional capital city of Amhara (50). Based on the information obtained from the central Gondar zone and the Gondar city police administration, the central Gondar zone has 15 woredas and a 4-woreda city administration that puts its main location in Gondar city, 1,272 police officers, 26 police stations, and more than 40 police centers (community policing). Among them, 420 police officers worked in Gondar city, and 852 worked in 15 woredas and 4 woreda city administrations.

Population and eligibility criteria

The study population consisted of all police officers in the central Gondar zone. Police officers who had at least six months of experience in the selected woredas (an administrative division of Ethiopia, managed by a local government) were eligible for this study (51, 52). Participants who were on annual leave, maternity leave, sick leave, or had an apprentice status during the data collection period were excluded from the study.

Sample size determination and sampling procedure

The sample size was calculated using a single population proportion formula with the following assumptions: proportion (p = 0.5), margin of error (d = 5%), and Z score ( Z α / 2  = 1.96) corresponding to 95% of the confidence interval.

n = Z α / 2 2 p 1 p d 2 , n = 1.96 ^ 2 0.5 1 0.5 / 0.05 ^ 2 = 384

Considering a 10% nonresponse rate and 1.5 design effects, the total sample size (n) was: 384* 0.1 + 384 = 38.4 + 384 = 422, and after multiplication by 1.5, it became 633.

The sample was taken from the central Gondar zone and included a total of 1,272 police officers. The Central Gondar Zone has 420 police officers from Gondar city and 852 police officers from four woreda city administrations and 15 woredas.

By considering Gondar city and four woreda administrations as five woredas, the total number of woredas in the central Gondar zone becomes 20. Since these woredas are dispersed among each other, it is difficult to account for all 20 woredas due to feasibility issues (time, money, transport, and hassles). Therefore, based on WHO sampling assessment standards, 40% of the total woredas became 8 (53). Simple random sampling (lottery method) was used to select eight woredas. To allocate a representative sample in each woreda, a proportional allocation to the size of the population was used. Finally, a simple random sampling method was used to select study participants from each selected woreda.

Operational definitions and measurement of variables

Work-related burnout: was measured using a Copenhagen Burnout Inventory (seven items). The presence or absence of work-related burnout was indicated by an average total score of 50, < 50 = 0 (no burnout) and 50 = 1 (burnout) (1, 54).

Police officers: are professionals who focus on keeping or enforcing law and order, investigating crime, and supporting crime prevention (55). The police officers in this research were those who worked for Gondar city and the central Gondar zone police administration and had at least six months of experience.

Alcohol drinking: the consumption of any alcohol-based beverage, whether locally or industrially produced, by police officers at least twice per week (56).

Khat chewing: A police officer chewed khat three times a week for the last six months prior to the study (57). Khat is a plant whose leaves are chewed and drunk as tea in the East African region, as well as in some parts of the Middle East, for stimulation or enlightenment (58).

Cigarette smoking: a police officer who smoked at least one stick of cigarettes per day for the six months prior to the study (59).

Doing physical exercise: individuals who perform any kind of physical exercise at least two times per week for 30 min (60).

Medication use was assessed using a single, yes-or-no question to gauge participants’ coping strategies for burnout at work (61).

Psychosocial work factors

Job stress: operational and organizational police stress tools were used to assess the job stress of police personnel. A score of less than 2.6 on the organizational police stress scale was considered low stress; a score between 2.7 and 3.9 was considered moderate stress; and a score of 4.0 or higher was considered high stress. According to the operational police stress tool, a score less than 2.0 indicated low stress, a score between 2.1 and 4.6 indicated moderate stress, and a score of 4.7 or higher indicated high stress (51).

Role conflict: four items; role clarity and social relations: three items; and job security: two items with a five-point Likert scale and dichotomized by their mean value (62).

Sleeping trouble with four items, job recognition with three items (63), and job demand with four items (9) on a five-point Likert scale and dichotomized by their median value.

Job satisfaction: Ten items from a generic job satisfaction scale were used to measure job satisfaction; a score of 10–31 indicated satisfaction, while a score of 32 or higher indicated dissatisfaction (64).

Social support: Participants answered nine questions concerning the assistance they received from family, coworkers, and superiors. A mean scale score falling between 1 and 2.9 categorized as low social support, a score between 3 and 5 as moderate social support, and a score between 5.1 and 7 as high social support (30, 65).

Work–family conflicts: six items on a four-point Likert scale, ranging from 0 never to 4 often, and dichotomized by median value (66). Of the six questions, work–family conflict was addressed in the first four, and family–work conflict was addressed in the final two (66).

Data collection procedures and tools

Standardized, self-administered Copenhagen Burnout Inventory (CBI) questionnaires were used to collect the data. The survey had four sections. The socio-demographic characteristics such as age, sex, education, work experience, having children, monthly salary, organizational rank, and working position were covered in the first section. The questions in the second category were designed to evaluate data regarding burnout at work. Work-related burnout was measured using the Copenhagen Burnout Inventory, which has been applied and validated in earlier studies (67, 68). Behavioral factors such as alcohol consumption (yes or no), khat chewing (yes or no), cigarette smoking (yes or no), medication use for stress relevance (yes or no), physical exercise (yes or no), and work misconduct issues (yes or no) were included in the third section of the questionnaires. The operational and organizational police stress and Copenhagen Psychosocial Questionnaire are both employed in the fourth item, which assesses numerous working conditions. Operational and organizational police stress were used to assess the job stress of police officers. They are reliable and valid indicators of policing stressors. Each questionnaire had 20 items that were scored from 1 (no stress at all) to 7 (a lot of stress). They are free for non-commercial, educational, and research purposes (51). Participants indicate the degree to which each item contributed to their burnout during the preceding six months. The mean of each scale was used to obtain the summary scores. Copenhagen Psychosocial Questionnaire: one item related to job demand, “Do you have enough time for your work tasks?” was reversed (54). Burnout status was divided into three subscales according to the Copenhagen Burnout Inventory: personal, work-related, and client-related burnout (69, 70). The questionnaire’s three distinct sections were created to be utilized in various contexts. However, we used the WRB domains of the CBI’s in this investigation. The seventh and final item on the list—“Do you have enough energy for family and friends during leisure time?”—was reversed in scoring (69, 70). The reliability and validity of CBI are confirmed by the PUMA project (Burnout, Motivation, and Job Satisfaction). The results showed that the three scales had minimal non-response rates and extremely good internal reliability. This tool has been translated into seven languages, i.e., English, Japanese, Mandarin, Cantonese, Swedish, Finnish, French, and Slovenian, and is currently being used in many nations (1). It is a generic instrument for evaluating workplace risk factors that is free to use. The reliability and validity of CBI were tested in Africa among Nigerian resident doctors and showed the highest Chronbach’s alpha (71). In Ethiopia, this tool is used to assess burnout among midwives and school teachers, with a high reliability (Chronbach’s alpha) of 0.89 (72, 73). The seven items on the list on the CBI were used to measure burnout at work. The internal consistency of the current investigation was 0.86. The items elicited responses ranging from very low/never = 1, low/rarely = 2, somewhat/sometimes = 3, high/often = 4, and very high/always = 5. Each question has a 5-point Likert scale (never, seldom, sometimes, often, and always) response option, which study participants picked from. Before calculating the mean scores for each of the components, the negatively worded questions were reversed where necessary. Weighted scores (percentages) were assigned to each option as follows: never (0), seldom (25), sometimes (50), often (75), and always (100). The scale labels were recorded in accordance with the questionnaire designers’ instructions, using the following formats: 1 = 0, 2 = 25, 3 = 50, 4 = 75, 5 = 100; for reverse coding, 1 = 5, 2 = 4, 3 = 3, and then all the items were summed (70, 74). Measurements and calculations were performed for Chronbach’s alpha reliability test. For instance, organizational police stress 20 items (Chronbach’s alpha = 0.871), operational police stress 20 items (Chronbach’s alpha = 0.911), role clarity three-items (Chronbach’s alpha = 0.74), role conflict four items (Chronbach’s alpha = 0.77), sleeping troubles four items (Chronbach’s alpha = 0.84), job demand four items (Chronbach’s alpha = 0.74), job recognition three items (Chronbach’s alpha = 0.72), social relations three items (Chronbach’s alpha = 0.73), job satisfaction ten items (Chronbach’s alpha = 0.79), social support nine items (Chronbach’s alpha = 0.90), and work–family conflict six items (Chronbach’s alpha = 0.78). Therefore, the above data were collected by considering the police officer’s time, place, and person. In terms of time, study participants were approached by considering their work schedules, mobility at home, field work, and office work. In terms of place, we approach them either individually or in groups at their offices for privacy and honesty in their information. In addition, in terms of personnel, four data collectors and two supervisors were assigned to collect the data.

Data quality assurance

The questionnaires were originally written in English, translated into Amharic, the native tongue, and then returned to English by the author with the assistance of linguists. Two psychiatric experts who had prior expertise and knowledge of the data collection procedure were hired as supervisors, and four environmental, occupational health, and safety specialists were hired to gather the data. Before beginning the actual data collection, the supervisors and data collectors attended two days of training and orientation covering topics such as informed consent, study goals, confidentiality, and how to ask clear and concise questions. Both lectures and discussions were used to deliver the training. Before the actual data collection, thirty-two samples were pre-tested on the questionnaires, which were excluded from the final analysis. Estimates of the time required for data collection were determined, and based on the pre-test results, some adjustments were made for question misinterpretations. For instance, based on their information, the organizational rank, working position, and educational level were rearranged. Every day, the investigator verified that the questionnaire was accurate and comprehensive.

Data management and analysis

After the data were verified to be accurate, they were imported into Epi-data version 4.6, exported, cleaned, and analyzed with SPSS version 26. Cross-tabulations were performed to assess the relationship between the explanatory variables and the outcome variable, and frequency distributions and percentages were employed to show descriptive statistics. The variables’ multicollinearity, outliers, and normality were assessed before the bivariable and multivariable binary logistic regression analyses were performed. To manage the effect of the confounding variable during the design and analysis stages, restriction, randomization, standardization, and multivariable analysis were used. The variance inflation factor was used to verify the multicollinearity assumption (VIF < 2.15). To account for potential confounding variables, the variables that demonstrated statistically significant relationships with the dependent variable at p-values <0.2 (73, 75, 76) in the bivariable logistic regression analysis were subsequently deemed suitable for a multivariable logistic regression. The Hosmer and Lemeshow goodness-of-fit test was used to check the model’s fitness, and it was well fitted (p value >0.05). Finally, a multivariable binary logistic regression model was used to identify variables with a p-value <0.05. The degree of association was indicated by an adjusted odds ratio (AOR) with a 95% confidence interval.

Results

Socio-demographic characteristics of the study participants

Out of the 633 samples that were chosen, 608 were able to participate, yielding a 96% response rate. Of these, 452 (74.3%) were male and 156 (25.7%) were female. Among these, 248 (40.8%) were married. The majority of participants were orthodox religious followers (556 (91.4%)) and Muslims (52 (8.6%)). The participants’ ages ranged from 21 to 54, with a median age (IQR) of 28. The majority of police officers work in community policing; 308 (50.7%) and 220 (36.2%) of the participants had a college diploma (Table 1).

Table 1
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Table 1. Socio-demographic characteristics of police officers working in central Gondar zone, Northwest Ethiopia, 2023 (n = 608).

Behavioral characteristics of the study participants

Of the participants, 155 individuals (25.5%) drank alcohol. The majority (98.7%) of the police officers did not chew khat, and all of them were found to be non-smokers. Only 7.9% of them have work misconduct issues. Of participants, 15.8% use medication for stress relevance, and 434 (71.4%) of participants perform physical exercises (Table 2).

Table 2
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Table 2. Behavioral characteristics of police officers working in the central Gondar zone, Northwest Ethiopia, 2023 (n = 608).

Work-related characteristics of police officers working in central Gondar zone, Northwest Ethiopia, 2023 (n = 608)

In terms of work-related risk factors, job demand was high for 52.8% of participants; 40.1% had low job recognition; 48.4% had high sleeping troubles; in addition, 14.1% had experienced high levels of organizational stress related to their organization; and 29.4% had high operational stress because of their work duties. Concerning their role at work, 49% of them had low role clarity, and 56.1% had practiced role conflict. In terms of daily working hours, 90% of the police officers worked more than 8 h per day, and 95.5% of them worked both day and night shifts (Table 3).

Table 3
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Table 3. Work-related characteristics of police officers in the central Gondar zone, Northwest Ethiopia, 2023 (n = 608).

Response format and scoring method of the instrument for work-related burnout among police officers in central Gondar zone, Northwest Ethiopia, 2023 (n = 608)

The response format and scoring method of the instrument are as follows: The items that elicited responses have a five-point Likert scale ranging from very low/never = 1, low/rarely = 2, somewhat/sometimes = 3, high/often = 4, and very high/always = 5. After the data was collected, each Likert scale label was recoded using the following formats: 1 = 0, 2 = 25, 3 = 50, 4 = 75, 5 = 100; for reverse coding, 1 = 5, 2 = 4, 3 = 3, and then all the items were summed. Next, each choice was given one of the following weighted ratings (percentages): never (0%), seldom (25%), sometimes (50%), often (75%), and always (100%) (Table 4).

Table 4
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Table 4. Response format and scoring method of the instrument for work-related burnout among police officers in central Gondar zone, Northwest Ethiopia, 2023 (n = 608).

Prevalence of work-related burnout among police officers

According to the study’s findings, 45.7% of police officers in the central Gondar zone had experienced work-related burnout (WRB) in the previous six months [95% CI (41.75, 49.69)]. Table 4 displays the results of all seven work-related burnout items, together with the corresponding frequency and mean scores.

Factors associated with work-related burnout among police officers

According to the bi-variable logistic regression analysis, WRB was shown to be associated with the following factors: sex, age, place of work, marital status, having children, organizational rank, medication use for stress relevance, exercising, organizational police stress, operational police stress, work-family imbalance, job satisfaction, sleeping troubles, role clarity, job demand, monthly salary, job security, and work experience in policing (p < 0.2). However, after adjusting for confounding variables in the multivariable binary logistic regression analysis, the statistically significant variables associated with work-related burnout included participant sex, job demand, job satisfaction, sleeping troubles, and organizational and operational police stress (p-value <0.05).

Consequently, individuals with high job demands had a 1.56-fold increased chance of having WRB than did those with low job demands [AOR: 1.561; 95% CI (1.045, 2.332)]. The odds of developing work-related burnout (WRB) were 1.91 times higher among participants who were dissatisfied with their jobs than among those who were satisfied [AOR: 1.910, 95% CI (1.054, 3.461)]. Compared to male participants, female participants had a 4.3-fold increased risk of having WRB [AOR: 4.298; 95% CI (3.274, 8.573)].

The chance of having WRB was 2.23 times greater for those with high organizational police stress than for those with low organizational police stress [AOR: 2.231; 95% CI (1.076, 4.624)]. The risk of developing work-related burnout (WRB) was 2.35 times greater for police officers with moderate operational police stress than for those with low stress [AOR: 2.349; 95% CI (1.309, 4.216)]. The risk of developing WRB was 4.88 times higher for police officers with high operational police stress compared to those with low operational police stress [AOR: 4.881; 95% CI (2.385, 9.992)]. Compared to other participants, those with a high degree of sleep troubles had a 1.52 times higher risk of developing WRB [AOR: 1.522; 95% CI (1.032, 2.244)] (Table 5).

Table 5
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Table 5. Bivariable and multivariable binary logistic regression analysis of the factors associated with police officers’ work-related burnout in central Gondar zone, Northwest Ethiopia, 2023 (n = 608).

Discussion

According to our research, 45.7% (n = 278) of the police officers had experienced WRB [95% CI (41.75, 49.69)]. WRB was shown to be significantly associated with sex, job demand, organizational and operational police stress, sleeping troubles, and job satisfaction. This study’s WRB prevalence was nearly identical to that of other studies on police officers in Costa Rica (44.4%) (77) and Mexico (44.16%) (25). This similarity may be explained by the fact that police officers experience burnout in nearly every country worldwide, regardless of their level of development or living conditions (1).

Nonetheless, in comparison with research conducted in Kenya (30.9%) (27), Sri Lanka (31.1%) (52), Mexico (31.1%) (25), Chile (28%) (23), and Spain (32.2%) (21), we found a greater prevalence of WRB. This might be due to variations in the assessment tools used, resource availability such as poor remuneration, poor workplace conditions, high workloads, and low training opportunities (38, 78), unpaid overtime, and the data collection period. During data collection, there was instability, which made police officers more likely to work loaded. In addition, there are not enough technological devices available to minimize their workload, such as computers, security cameras, road traffic lights, and vehicles for emergencies, compared with those available in Spain and Chile (79, 80). Our study result is higher due to sex differences in burnout, and the incorporated variables; both operational and organizational police stress and sleeping troubles may be highly stressful factors in this study. Other possible explanations for such differences might include variations in the research setting, the data collection method, and the variables we are interested in studying, which may affect the results. In this study, a large sample size and appropriate data collection and sampling techniques were used.

In contrast, research conducted in Mexico (54.9%) (48), Brazil (64%) (81), and Nigeria (55.2%) (82) revealed a lower prevalence of work-related burnout. These discrepancies might be attributed to demographic disparities within the research group, for example, the high incidence of violence and assault among military families and the gap in socioeconomic level (83). Compared to their civilian counterparts, military police are more often seen to have difficult employment, and their reduced involvement in organizational decision-making may contribute to their job dissatisfaction and stress (84). Moreover, a high rate of intimate parental violence in military families contributed to a stressful lifestyle brought on by frequent relocation or family separations, which may have a greater negative influence on relationship satisfaction than it does on civilian police. This could result in a serious public health issue that eventually leads to burnout (85). In Mexico, there was a significant increase in road traffic accidents that made traffic police overly demanding and stressful, which caused burnout (86).

This study finding confirmed that, compared to males, women were shown to be more affected by WRB. This result was consistent with studies done in the United States (87), Oregon, southwestern Washington (87), and Nigeria (32). Possible reasons: male and female employees frequently hold disparate opinions about what constitutes stress, where stress comes from, and how to deal with stress when it becomes an issue (88). Compared to men, who are more skilled at problem-focused coping strategies, they are more likely to employ emotional-focused coping techniques (89). Moreover, police organizational culture, such as higher levels of harassment and overt hostility, may cause more female burnout (90). In addition, female officers may experience higher levels of burnout in a work environment marked by feelings of unfairness, sex discrimination, and a lack of friendship (91). Furthermore, they also have a higher likelihood of experiencing emotional exhaustion from their jobs because of their dual responsibilities as policewomen and primary caregivers for their children (32).

Our study’s findings demonstrated a statistical relationship between job demand and WRB. This affirms the fact that there was more job demand during study times in which police officers were required to shoulder the volatile work conditions due to the dissolution of the special police division of law enforcement agencies. This finding was supported by studies in Norway (92), Poland (93), and Kenya (27). This association might be due to the fact that some organizational, social, or physical needs of the work are more difficult to meet; in turn, a lack of resources to balance these demands causes exhaustion and may lead to WRB (94). The other possible reasons were that their work was characterized by long hours, demanding schedules, irregular shift work, frequent night shifts, and significant unpaid overtime, which revealed burnout (8). In addition, these demanding job requirements and responsibilities might lead to more time constraints and less flexibility in how the work is done, which could result in a higher WRB (9). Serious health problems are linked to high work demands among police officers, and having employment resources is a protective factor against WRB (95). Furthermore, it has been frequently noted that officers become fatigued due to long hours and rigorous work schedules, which deplete their energy, compromise their performance, and lead to WRB (96).

In addition, this study demonstrated a strong association between operational police stress and WRB. This finding was in agreement with studies done in Turkey (97) and Nigeria (32). The most likely explanation is that greater levels of occupational stress were associated with higher WRB (98). In addition, a high level of work-related stress can deplete physical and mental resources excessively, which can result in a severe case of WRB (99). The other likely reasons are that police officers who are under stress may not have enough free time to spend with their friends and family, disrupted sleep patterns or low moods that make them exhausted, loss of emotional resources, and exposure to WRB (12). Additional reasons that might be given Operational stresses include public criticism of police behavior, societal perceptions of policing, fear of overuse of force, hostile contact, and work–family conflict, all of which contribute to work-related burnout (WRB) (100).

Moreover, this study revealed a statistically significant association between organizational police stress and WRB. This finding was corroborated with studies in Scotland (101) and Trinidad and Tobago (30). This may be the result of problematic organizational aspects of working as a police officer, such as staff shortages, inadequate resources, time constraints, work overload, excessive administrative tasks, frequent organizational or policy changes, lack of communication among organization members, and staff shortages or inconsistent leadership styles, which are major contributing factors to burnout (7). In addition, organizational stressors, such as insufficient help from superiors and a lack of cooperation with coworkers, are more likely to persist for officers, which may increase the likelihood that they will experience burnout (102).

Furthermore, high sleeping trouble was significantly associated with WRB. This study was supported by studies in North America (44), Sweden (103), Belgium (104), and Mexico (25). Possible reasons: Insufficient rest or irregular sleep patterns (sleep deprivation) may lead to WRB. A troubled circadian rhythm and poor sleep habits may cause fatigue and stress, which are important factors in the development of WRB (105). Furthermore, reduced sleep also impairs cognitive function and may be crucial in the development of WRB (103).

Finally, this study’s results revealed that job satisfaction was significantly associated with WRB. Burnout was more likely to occur among police officers who were dissatisfied with their work. This study result was reconcilable with studies in South Korea (106), Turkey (97), Sri Lanka (52), India (107), and Kenya (27). Possible reason: job satisfaction is used as a buffer against work-related burnout and increases the success of their objectives; in contrast, dissatisfied employees actively search for and come up with new ways but respond passively to their job (108). This is because job satisfaction, which is a positive emotional feeling and a resource, has a significant negative association with WRB. Moreover, job dissatisfaction may result in reduced efficiency and workers’ well-being in general, which in turn causes WRB (97).

Strengths and limitations of the study

This study is among the few that have examined the prevalence and factors associated with WRB among police officers in Ethiopia. This study used a standardized and reliable tool with a sufficient sample size from several locations, including both urban and rural police departments, and we could extrapolate our results to the whole central Gondar zone police force as well as other similar police organizations in the world. Moreover, this research may contribute to international research as a piece of literature for other researchers intending to work in this area of study and to find pooled prevalence figures of WRB among police officers. However, this finding is limited due to its cross-sectional nature, which cannot rule out the effect of self-reporting bias. Since the data were self-reported prior experiences of police officers, reporting bias and an underestimation of burnout levels may be present. To minimize this bias, we restricted the data to recent experiences only. In addition, it is difficult to generalize the results to other workplaces since it is a cross-sectional study that is specific to police institutions, i.e., police officers. Future studies need to account for a variety of workplaces in order to demonstrate the relationship between various employment features and WRB. With the exception of these restrictions, we believe this study offers reliable evidence to address this work-related burnout among police officers.

Conclusion

According to this study, a significant number of police officers suffer from burnout due to their work. Police officers’ work-related burnout was found to be predicted by factors such as sex, job demands, job satisfaction, workplace stress, organizational police stress, and sleeping troubles. To address this problem, improving the handling of work pressure, developing a stress management program, finding joy at work by improving interpersonal relationships and working conditions, offering support and inspiration to female police officers, and ensuring sufficient and restful sleep are advised.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by the studies involving human participants were reviewed and approved by Psychological Research and the Institute of Public Health, University of Gondar with an approval number of IPH/2501/2023. The patients/participants provided their written informed consent to participate. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

AEB: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. DGY: Conceptualization, Data curation, Project administration, Software, Methodology, Supervision, Writing – review & editing. AAB: Conceptualization, Methodology, Software, Supervision, Visualization, Writing – review & editing. ABA: Methodology, Supervision, Writing – review & editing. TA: Methodology, Visualization, Writing – review & editing. CM: Methodology, Software, Writing – review & editing. YMM: Methodology, Visualization, Writing – review & editing. AT: Supervision, Conceptualization, Project administration, Software, Data curation, Methodology, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

The authors are grateful to all the data collectors, supervisors, study participants, and the University of Gondar for their creditable contributions to the success of this study. The authors would also like to thank the Central Gondar Zone and Gondar city police administration for their open contributions to the success of this research.

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. Kristensen, TS, Borritz, M, Villadsen, E, and Christensen, KB. The Copenhagen burnout inventory: a new tool for the assessment of burnout. Work Stress. (2005) 19:192–207. doi: 10.1080/02678370500297720

Crossref Full Text | Google Scholar

2. Chirico, F . Job stress models for predicting burnout syndrome: a review. Ann Ist Super Sanita. (2016) 52:443–56. doi: 10.4415/ANN_16_03_17

PubMed Abstract | Crossref Full Text | Google Scholar

3. Maslach, C, and Leiter, MP. Understanding the burnout experience: recent research and its implications for psychiatry. World Psychiatry. (2016) 15:103–11. doi: 10.1002/wps.20311

PubMed Abstract | Crossref Full Text | Google Scholar

4. World Health Organization . International classification of diseases, 11th revision (ICD-11) (2019). Acesso em 2020;15.

Google Scholar

5. Henny, J, Anita, A, Hayati, K, and Rampal, L. Prevalence of burnout and its associated factors among faculty academicians. Malays J Med Health Sci. (2014) 10:51–9.

Google Scholar

6. Gaines, L, and Kappeler, V. Policing in America. New York: Routledge (2014).

Google Scholar

7. Espartero, JRE . Police officers perceived levels of organizational stress, operational stress, and coping strategies in San Jose, antique, Philippines. J Adv Humanit Soc Sci. (2023) 2:1–26. doi: 10.56868/jadhur.v2i2.135

Crossref Full Text | Google Scholar

8. Garbarino, S, Guglielmi, O, Puntoni, M, Bragazzi, NL, and Magnavita, N. Sleep quality among police officers: implications and insights from a systematic review and meta-analysis of the literature. Int J Environ Res Public Health. (2019) 16:885. doi: 10.3390/ijerph16050885

PubMed Abstract | Crossref Full Text | Google Scholar

9. Arvidsson, I, Leo, U, Larsson, A, Håkansson, C, Persson, R, and Björk, J. Burnout among school teachers: quantitative and qualitative results from a follow-up study in southern Sweden. BMC Public Health. (2019) 19:1–13. doi: 10.1186/s12889-019-6972-1

Crossref Full Text | Google Scholar

10. Wray, CA, and Jarrett, SB. The relationship between burnout and suicidal ideations among Jamaican police officers. Int J Police Sci Manag. (2019) 21:181–9. doi: 10.1177/1461355719856026

Crossref Full Text | Google Scholar

11. Queiros, C, Kaiseler, M, and Da Silva, AL. Burnout as a predictor of aggressivity among police officers. Eur J Policing Stud. (2013) 1:110–34. doi: 10.5553/EJPS/2034760X2013001002003

Crossref Full Text | Google Scholar

12. Santa Maria, A, Wolter, C, Gusy, B, Kleiber, D, and Renneberg, B. Reducing work-related burnout among police officers: the impact of job rewards and health-oriented leadership. Police J. (2021) 94:406–21. doi: 10.1177/0032258X20946805

Crossref Full Text | Google Scholar

13. Queirós, C, Passos, F, Bártolo, A, Marques, AJ, Da Silva, CF, and Pereira, A. Burnout and stress measurement in police officers: literature review and a study with the operational police stress questionnaire. Front Psychol. (2020) 11:587. doi: 10.3389/fpsyg.2020.00587

PubMed Abstract | Crossref Full Text | Google Scholar

14. Violanti, JM, Robinson, CF, and Shen, R. Law enforcement suicide: a national analysis. Int J Emerg Ment Health Human Resilience. (2013) 15:289–97.

PubMed Abstract | Google Scholar

15. Krishnan, N, Steene, LM, Lewis, M, Marshall, D, and Ireland, JL. A systematic review of risk factors implicated in the suicide of police officers. J Police Crim Psychol. (2022) 37:939–51. doi: 10.1007/s11896-022-09539-1

Crossref Full Text | Google Scholar

16. Gomes, GP, Ribeiro, N, and Gomes, DR. The impact of burnout on police officers’ performance and turnover intention: the moderating role of compassion satisfaction. Adm Sci. (2022) 12:92. doi: 10.3390/admsci12030092

Crossref Full Text | Google Scholar

17. García-Rivera, BR, Olguín-Tiznado, JE, Aranibar, MF, Ramírez-Barón, MC, Camargo-Wilson, C, López-Barreras, JA, et al. Burnout syndrome in police officers and its relationship with physical and leisure activities. Int J Environ Res Public Health. (2020) 17:5586. doi: 10.3390/ijerph17155586

PubMed Abstract | Crossref Full Text | Google Scholar

18. Salvagioni, DAJ, Melanda, FN, Mesas, AE, González, AD, Gabani, FL, and Andrade, SM. Physical, psychological and occupational consequences of job burnout: a systematic review of prospective studies. PLoS One. (2017) 12:e0185781. doi: 10.1371/journal.pone.0185781

PubMed Abstract | Crossref Full Text | Google Scholar

19. Rini, WNE, Halim, R, and Sarah, U. Factors related to work fatigue among traffic police. Poltekita (2023) 16:429–435. doi: 10.33860/jik.v16i4.1740

Crossref Full Text | Google Scholar

20. McCarty, WP, Aldirawi, H, Dewald, S, and Palacios, M. Burnout in blue: an analysis of the extent and primary predictors of burnout among law enforcement officers in the United States. Police Q. (2019) 22:278–304. doi: 10.1177/1098611119828038

Crossref Full Text | Google Scholar

21. Emilia, I, Extremera, RA, Pecino, CV, and De La Fuente, GRC. Prevalence and risk factors of burnout syndrome among Spanish police officers. Psicothema. (2013) 25:488–93. doi: 10.7334/psicothema2013.81

Crossref Full Text | Google Scholar

22. Backteman-Erlanson, S, Padyab, M, and Brulin, C. Prevalence of burnout and associations with psychosocial work environment, physical strain, and stress of conscience among Swedish female and male police personnel. Police Pract Res. (2013) 14:491–505. doi: 10.1080/15614263.2012.736719

Crossref Full Text | Google Scholar

23. Mella, DB, and Boutin, APK. Burnout and coping strategies in male staff from national police in Valparaíso, Chile. Iran J Public Health. (2013) 42:950.

Google Scholar

24. Harizanova, SN, and Tarnovska, TH. Professional burnout syndrome among correctional facility officers. Folia Med. (2013) 55:73–9. doi: 10.2478/folmed-2013-0020

PubMed Abstract | Crossref Full Text | Google Scholar

25. Torres-Vences, IN, Pérez-Campos Mayoral, E, Mayoral, M, Pérez-Campos, EL, Martínez-Cruz, M, Torres-Bravo, I, et al. Burnout syndrome and related factors in Mexican police workforces. Int J Environ Res Public Health. (2022) 19:5537. doi: 10.3390/ijerph19095537

PubMed Abstract | Crossref Full Text | Google Scholar

26. Nkosi, LN . Exploring burnout among police officers in the South African police service (SAPS) at Elukwatini SAPS, Mpumalanga Province (2019).

Google Scholar

27. Gitau, CW . Prevalence of burnout among prison officers at Kamiti command: University of Nairobi (2013).

Google Scholar

28. Galanis, P, Fragkou, D, and Katsoulas, TA. Risk factors for stress among police officers: a systematic literature review. Work. (2021) 68:1255–72. doi: 10.3233/WOR-213455

PubMed Abstract | Crossref Full Text | Google Scholar

29. Lambert, EG, Qureshi, H, Keena, LD, Frank, J, and Hogan, NL. Exploring the link between work-family conflict and job burnout among Indian police officers. Police J. (2019) 92:35–55. doi: 10.1177/0032258X18761285

Crossref Full Text | Google Scholar

30. Baek, H, Han, S, and Seepersad, R. The impact of social support and occupational stress on burnout in the Trinidad and Tobago police service. Police Q. (2022) 25:310–37. doi: 10.1177/10986111211036007

Crossref Full Text | Google Scholar

31. Norlund, S, Reuterwall, C, Höög, J, Lindahl, B, Janlert, U, and Birgander, LS. Burnout, working conditions and gender-results from the northern Sweden MONICA study. BMC Public Health. (2010) 10:1–9. doi: 10.1186/1471-2458-10-326

Crossref Full Text | Google Scholar

32. Ogungbamila, B, and Fajemirokun, I. Job stress and police burnout: moderating roles of gender and marital status. IAFOR J Psychol Behav Sci. (2016) 2:17–32. doi: 10.22492/ijpbs.2.3.02

Crossref Full Text | Google Scholar

33. Aydin, R, and Tekiner, MA. Analysis of burnout level of police officers: evidence from Malatya, Turkey. Epiphany. (2016) 9:99–113. doi: 10.21533/epiphany.v9i1.201

Crossref Full Text | Google Scholar

34. Bezuidenhout, A, and Cilliers, F. Age, burnout, work engagement and sense of coherence in female academics at two South African universities. S Afr J Labour Relat. (2011) 35:61–80.

Google Scholar

35. Gudjonsson, GH, and Adlam, K. Occupational stressors among British police officers. Police J. (1985) 58:73–80. doi: 10.1177/0032258X8505800110

Crossref Full Text | Google Scholar

36. Violanti, JM, and Aron, F. Police stressors: variations in perception among police personnel. J Crim Just. (1995) 23:287–94. doi: 10.1016/0047-2352(95)00012-F

Crossref Full Text | Google Scholar

37. Queirós, C, Passos, F, Bártolo, A, Faria, S, Fonseca, SM, Marques, AJ, et al. Job stress, burnout and coping in police officers: relationships and psychometric properties of the organizational police stress questionnaire. Int J Environ Res Public Health. (2020) 17:6718. doi: 10.3390/ijerph17186718

PubMed Abstract | Crossref Full Text | Google Scholar

38. Malach-Pines, A, and Keinan, G. Stress and burnout in Israeli border police. Int J Stress Manag. (2006) 13:519–40. doi: 10.1037/1072-5245.13.4.519

Crossref Full Text | Google Scholar

39. Vuorensyrjä, M, and Mälkiä, M. Nonlinearity of the effects of police stressors on police officer burnout. Policing. (2011) 34:382–402. doi: 10.1108/13639511111157474

Crossref Full Text | Google Scholar

40. Wu, G, and Wen, M. Predicting three dimensions of police officer stress: does rural or urban setting matter? Policing. (2020) 43:435–49. doi: 10.1108/PIJPSM-03-2019-0042

Crossref Full Text | Google Scholar

41. Pikoulas, G, Charila, D, and Elias, T. The protective role of self-esteem on burnout and depression symptoms among police officers: a path analysis approach. Int J Police Sci Manag. (2022) 24:313–24. doi: 10.1177/14613557221089569

Crossref Full Text | Google Scholar

42. Ogeil, RP, Barger, LK, Lockley, SW, O’Brien, CS, Sullivan, JP, Qadri, S, et al. Cross-sectional analysis of sleep-promoting and wake-promoting drug use on health, fatigue-related error, and near-crashes in police officers. BMJ Open. (2018) 8:e022041. doi: 10.1136/bmjopen-2018-022041

PubMed Abstract | Crossref Full Text | Google Scholar

43. Taylor, CE, Scott, EJ, and Owen, K. Physical activity, burnout and quality of life in medical students: a systematic review. Clin Teach. (2022) 19:e13525. doi: 10.1111/tct.13525

PubMed Abstract | Crossref Full Text | Google Scholar

44. Peterson, SA, Wolkow, AP, Lockley, SW, O'Brien, CS, Qadri, S, Sullivan, JP, et al. Associations between shift work characteristics, shift work schedules, sleep and burnout in north American police officers: a cross-sectional study. BMJ Open. (2019) 9:e030302. doi: 10.1136/bmjopen-2019-030302

PubMed Abstract | Crossref Full Text | Google Scholar

45. Demerouti, E, Geurts, SA, Bakker, AB, and Euwema, M. The impact of shiftwork on work–home conflict, job attitudes and health. Ergonomics. (2004) 47:987–1002. doi: 10.1080/00140130410001670408

PubMed Abstract | Crossref Full Text | Google Scholar

46. Violanti, JM . Suicide and the police role: a psychosocial model. Policing. (1997) 20:698–715. doi: 10.1108/13639519710368107

Crossref Full Text | Google Scholar

47. Violanti, JM, Fekedulegn, D, Hartley, TA, Charles, LE, Andrew, ME, Ma, CC, et al. Highly rated and most frequent stressors among police officers: gender differences. Am J Crim Justice. (2016) 41:645–62. doi: 10.1007/s12103-016-9342-x

PubMed Abstract | Crossref Full Text | Google Scholar

48. Beltrán, CA, Moreno, MP, Estrada, JGS, López, TMT, and Rodríguez, MGA. Social support, burnout syndrome and occupational exhaustion among Mexican traffic police agents. Span J Psychol. (2009) 12:585–92. doi: 10.1017/S1138741600001955

PubMed Abstract | Crossref Full Text | Google Scholar

49. Nelson, K. Behind the frontlines: Occupational stress and well-being in Jamaican police officers: Cardiff University (2017).

Google Scholar

50. Alemayehu, M, Nega, A, Tegegne, E, and Mule, Y. Prevalence of self-reported computer vision syndrome and associated factors among secretaries and data processors who are working in University of Gondar, Ethiopia. J Biol Agric Healthcare. (2014) 4

Google Scholar

51. McCreary, DR, Fong, I, and Groll, DL. Measuring policing stress meaningfully: establishing norms and cut-off values for the operational and organizational police stress questionnaires. Police Pract Res. (2017) 18:612–23. doi: 10.1080/15614263.2017.1363965

Crossref Full Text | Google Scholar

52. Wijegoonewardene, N, and Vidanapathirana, J. Burnout of Sri Lankan prison officers: exploring the prevalence and correlates. MedNEXT J Med Health Sci. (2021) 2. doi: 10.54448/mdnt2145

Crossref Full Text | Google Scholar

53. Sambo, L, Chatora, R, and Goosen, E. Tools for assessing the operationality of district health systems. Brazzaville: World Health Organization, Regional Office for Africa (2003).

Google Scholar

54. Borritz, M, Rugulies, R, Bjorner, JB, Villadsen, E, Mikkelsen, OA, and Kristensen, TS. Burnout among employees in human service work: design and baseline findings of the PUMA study. Scand J Public Health. (2006) 34:49–58. doi: 10.1080/14034940510032275

PubMed Abstract | Crossref Full Text | Google Scholar

55. Chenane, JL, and Wright, EM. The role of police officer race/ethnicity on crime rates in immigrant communities. Race Justice. (2021) 11:3–27. doi: 10.1177/2153368718777278

Crossref Full Text | Google Scholar

56. Abaraogu, UO, Ezema, CI, Igwe, S, Egwuonwu, AV, and Okafor, UC. Work-related back discomfort and associated factors among automotive maintenance mechanics in eastern Nigeria: a cross sectional study. Work. (2016) 53:813–23. doi: 10.3233/WOR-162247

PubMed Abstract | Crossref Full Text | Google Scholar

57. Kassim, S, and Croucher, R. Khat chewing amongst UK resident male Yemeni adults: an exploratory study. Int Dent J. (2006) 56:97–101. doi: 10.1111/j.1875-595X.2006.tb00080.x

PubMed Abstract | Crossref Full Text | Google Scholar

58. Tesfaye, AH, Abate, K, Kabito, GG, and Azale, T. Perceived occupational stress and associated factors among primary school teachers in the second wave of COVID-19 in Ethiopia: a multicenter cross-sectional survey. Front Public Health. (2023) 11:1156652. doi: 10.3389/fpubh.2023.1156652

PubMed Abstract | Crossref Full Text | Google Scholar

59. Nakata, A, Ikeda, T, Takahashi, M, Haratani, T, Hojou, M, Swanson, NG, et al. The prevalence and correlates of occupational injuries in small-scale manufacturing enterprises. J Occup Health. (2006) 48:366–76. doi: 10.1539/joh.48.366

PubMed Abstract | Crossref Full Text | Google Scholar

60. Bull, FC, Al-Ansari, SS, Biddle, S, Borodulin, K, Buman, MP, Cardon, G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. (2020) 54:1451–62. doi: 10.1136/bjsports-2020-102955

PubMed Abstract | Crossref Full Text | Google Scholar

61. Burke, RJ . Stressful events, work-family conflict, coping, psychological burnout, and well-being among police officers. Psychol Rep. (1994) 75:787–800. doi: 10.2466/pr0.1994.75.2.787

PubMed Abstract | Crossref Full Text | Google Scholar

62. Correia, I, Romão, Â, Almeida, AE, and Ramos, S. Protecting police officers against burnout: overcoming a fragmented research field. J Police Crim Psychol. (2023) 38:622–38. doi: 10.1007/s11896-023-09584-4

Crossref Full Text | Google Scholar

63. Rosário, S, Azevedo, LF, Fonseca, JA, Nienhaus, A, Nübling, M, and da Costa, JT. The Portuguese long version of the Copenhagen psychosocial questionnaire II (COPSOQ II)–a validation study. J Occup Med Toxicol. (2017) 12:1–17. doi: 10.1186/s12995-017-0170-9

Crossref Full Text | Google Scholar

64. Macdonald, S, and Maclntyre, P. The generic job satisfaction scale: scale development and its correlates. Empl Assist Q. (1997) 13:1–16. doi: 10.1300/J022v13n02_01

Crossref Full Text | Google Scholar

65. Zimet, GD, Dahlem, N, Zimet, S, Farley, G, Sajatovic, M, and Ramirez, L. Multidimensional scale of perceived social support (MSPSS). Psychol Rev. (2016) 12:111–3.

Google Scholar

66. Haslam, D, Filus, A, Morawska, A, Sanders, MR, and Fletcher, R. The work–family conflict scale (WAFCS): development and initial validation of a self-report measure of work–family conflict for use with parents. Child Psychiatry Hum Dev. (2015) 46:346–57. doi: 10.1007/s10578-014-0476-0

PubMed Abstract | Crossref Full Text | Google Scholar

67. Biksegn, A, Kenfe, T, Matiwos, S, and Eshetu, G. Burnout status at work among health care professionals in atertiary hospital. Ethiop J Health Sci. (2016) 26:101–8. doi: 10.4314/ejhs.v26i2.3

PubMed Abstract | Crossref Full Text | Google Scholar

68. Asrat, B, Girma, E, Soboka, M, and Tesfay, K. Mental distress and associated factors among health professionals working in tertiary teaching hospital, South West Ethiopia. J Depress Anxiety. (2015) 4:1000192:2167–1044. doi: 10.4192/2167-1044.1000192

Crossref Full Text | Google Scholar

69. Abd Hamid, J, Khatibi, AA, Azam, SF, and Dharmaratne, I. Measuring burnout of human service workers: testing the Copenhagen burnout inventory in Sri Lankan context. Eur J Educ Stud. (2015) 4:2018154. doi: 10.5281/zenodo.1346394

Crossref Full Text | Google Scholar

70. Creedy, D, Sidebotham, M, Gamble, J, Pallant, J, and Fenwick, J. Prevalence of burnout, depression, anxiety and stress in Australian midwives: a cross-sectional survey. BMC Pregnancy Childbirth. (2017) 17:1–8. doi: 10.1186/s12884-016-1212-5

Crossref Full Text | Google Scholar

71. Ogunsuji, O, Ogundipe, H, Adebayo, O, Oladehin, T, Oiwoh, S, Obafemi, O, et al. Internal reliability and validity of Copenhagen burnout inventory and Oldenburg burnout inventory compared with Maslach burnout inventory among Nigerian resident doctors: a pilot study. Dubai Med J. (2022) 5:89–95. doi: 10.1159/000521376

Crossref Full Text | Google Scholar

72. Mengistie, BA, Azene, ZN, Haile, TT, Abiy, SA, Abegaz, MY, Taye, EB, et al. Work-related burnout and its associated factors among midwives working at public hospitals in Northwest Ethiopia: a multi-centered study. Front Psych. (2023) 14:1256063. doi: 10.3389/fpsyt.2023.1256063

Crossref Full Text | Google Scholar

73. Belay, AA, Gasheya, KA, Engdaw, GT, Kabito, GG, and Tesfaye, AH. Work-related burnout among public secondary school teachers is significantly influenced by the psychosocial work factors: a cross-sectional study from Ethiopia. Front Psychol. (2023) 14. doi: 10.3389/fpsyg.2023.1215421

PubMed Abstract | Crossref Full Text | Google Scholar

74. Piperac, P, Todorovic, J, Terzic-Supic, Z, Maksimovic, A, Karic, S, Pilipovic, F, et al. The validity and reliability of the Copenhagen burnout inventory for examination of burnout among preschool teachers in Serbia. Int J Environ Res Public Health. (2021) 18:6805. doi: 10.3390/ijerph18136805

PubMed Abstract | Crossref Full Text | Google Scholar

75. Kabito, GG, Wami, SD, Chercos, DH, and Mekonnen, TH. Work-related stress and associated factors among academic staffs at the University of Gondar, Northwest Ethiopia: an institution based cross-sectional study. Ethiop J Health Sci. (2020) 30:223–32. doi: 10.4314/ejhs.v30i2.10

Crossref Full Text | Google Scholar

76. Tesfaye, AH, Masresha, AG, Tadesse, T, Aragaw, FM, Desye, B, and Abere, G. Prevalence and associated factors of poor sleep quality among industrial workers in Addis Ababa, Ethiopia: findings from a cross-sectional study. BMJ Open. (2023) 13:e073340. doi: 10.1136/bmjopen-2023-073340

PubMed Abstract | Crossref Full Text | Google Scholar

77. Brenes, MAM, and Salas, MM. Síndrome del burnout y engagement en profesionales del sistema penitenciario costarricense. Rev Cienc Soc (Cr). (2012) 3:65–81. doi: 10.15517/rcs.v0i137.8419

Crossref Full Text | Google Scholar

78. Mabila, NO, Dorasamy, N, and Wallis, M. Job satisfaction in the Royal Swaziland Police Service: A case study of Manzini and Hhohho regions: Durban University of Technology; (2014).

Google Scholar

79. Agustina, JR, and Clavell, GG. The impact of CCTV on fundamental rights and crime prevention strategies: the case of the Catalan control Commission of Video surveillance devices. Comput Law Secur Rev. (2011) 27:168–74. doi: 10.1016/j.clsr.2011.01.006

Crossref Full Text | Google Scholar

80. Tironi, M, and Valderrama, M. The militarization of the urban sky in Santiago de Chile: the vision multiple of a video-surveillance system of aerostatic balloons. Urban Geogr. (2021) 42:161–80. doi: 10.1080/02723638.2019.1706939

Crossref Full Text | Google Scholar

81. Soares, DS, Melo, CC, Soares, JLSS, and Noce, F. Influência da atividade física no burnout em policiais militares. J Phys Educ. (2019) 30:3059. doi: 10.4025/jphyseduc.v30i13059

Crossref Full Text | Google Scholar

82. Aguwa, EN, Udeh, SO, and Onwasigwe, CN. Workplace burnout and psychological health of military personnel in a Nigerian barrack. Niger J Med. (2022) 31:302–8. doi: 10.4103/NJM.NJM_31_22

Crossref Full Text | Google Scholar

83. Jiang, H, Dowling, R, Hameed, M, Painter, F, Vuong, A, Booth, A, et al. Comparison of social and economic stress in military and civilian families: a rapid review of the evidence. Open J Soc Sci. (2022) 10:320–47. doi: 10.4236/jss.2022.1011022

Crossref Full Text | Google Scholar

84. Smith, BL, and Ward, RM. Stress on military and civilian personnnel: a comparative analysis. Am J Police. (1983) 3:111.

Google Scholar

85. Chimah, CU, Adogu, POU, Odeyemi, K, and Ilika, AL. Comparative analysis of prevalence of intimate partner violence against women in military and civilian communities in Abuja, Nigeria. Int J Women's Health. (2015) 7:287–95. doi: 10.2147/IJWH.S79176

Crossref Full Text | Google Scholar

86. Martins, ET, Boing, AF, and Peres, MA. Motorcycle accident mortality time trends in Brazil, 1996-2009. Rev Saude Publica. (2013) 47:931–41. doi: 10.1590/S0034-8910.2013047004227

PubMed Abstract | Crossref Full Text | Google Scholar

87. Johnson, LB . Job strain among police officers: gender comparisons. Police Stud Int'l Rev Police Dev. (1991) 14:12.

Google Scholar

88. He, N, Zhao, J, and Archbold, CA. Gender and police stress: the convergent and divergent impact of work environment, work-family conflict, and stress coping mechanisms of female and male police officers. Policing. (2002) 25:687–708. doi: 10.1108/13639510210450631

Crossref Full Text | Google Scholar

89. Tamres, LK, Janicki, D, and Helgeson, VS. Sex differences in coping behavior: a meta-analytic review and an examination of relative coping. Personal Soc Psychol Rev. (2002) 6:2–30. doi: 10.1207/S15327957PSPR0601_1

Crossref Full Text | Google Scholar

90. He, N, Zhao, J, and Ren, L. Do race and gender matter in police stress? A preliminary assessment of the interactive effects. J Crim Just. (2005) 33:535–47. doi: 10.1016/j.jcrimjus.2005.08.003

Crossref Full Text | Google Scholar

91. McCarty, WP, Solomon Zhao, J, and Garland, BE. Occupational stress and burnout between male and female police officers: are there any gender differences? Policing. (2007) 30:672–91. doi: 10.1108/13639510710833938

Crossref Full Text | Google Scholar

92. Martinussen, M, Richardsen, AM, and Burke, RJ. Job demands, job resources, and burnout among police officers. J Crim Just. (2007) 35:239–49. doi: 10.1016/j.jcrimjus.2007.03.001

Crossref Full Text | Google Scholar

93. Smoktunowicz, E, Baka, L, Cieslak, R, Nichols, CF, Benight, CC, and Luszczynska, A. Explaining counterproductive work behaviors among police officers: the indirect effects of job demands are mediated by job burnout and moderated by job control and social support. Hum Perform. (2015) 28:332–50. doi: 10.1080/08959285.2015.1021045

Crossref Full Text | Google Scholar

94. 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

95. Langelaan, S, Bakker, AB, Van Doornen, LJ, and Schaufeli, WB. Burnout and work engagement: do individual differences make a difference? Personal Individ Differ. (2006) 40:521–32. doi: 10.1016/j.paid.2005.07.009

Crossref Full Text | Google Scholar

96. Pearsall, B . Sleep disorders, work shifts and officer wellness. NIJ J. (2012) 270:36–9.

Google Scholar

97. Kula, S . Occupational stress, supervisor support, job satisfaction, and work-related burnout: perceptions of Turkish National Police (TNP) members. Police Pract Res. (2017) 18:146–59. doi: 10.1080/15614263.2016.1250630

Crossref Full Text | Google Scholar

98. Manzoni, P, and Eisner, M. Violence between the police and the public: influences of work-related stress, job satisfaction, burnout, and situational factors. Crim Justice Behav. (2006) 33:613–45. doi: 10.1177/0093854806288039

Crossref Full Text | Google Scholar

99. Veldman, I, Van Tartwijk, J, Brekelmans, M, and Wubbels, T. Job satisfaction and teacher–student relationships across the teaching career: four case studies. Teach Teach Educ. (2013) 32:55–65. doi: 10.1016/j.tate.2013.01.005

Crossref Full Text | Google Scholar

100. Kukić, F, Streetman, A, Koropanovski, N, Ćopić, N, Fayyad, F, Gurevich, K, et al. Operational stress of police officers: a cross-sectional study in three countries with centralized, hierarchical organization. Policing. (2022) 16:95–106. doi: 10.1093/police/paab065

Crossref Full Text | Google Scholar

101. Biggam, FH, Power, KG, Macdonald, RR, Carcary, WB, and Moodie, E. Self-perceived occupational stress and distress in a Scottish police force. Work Stress. (1997) 11:118–33. doi: 10.1080/02678379708256829

Crossref Full Text | Google Scholar

102. Purba, A, and Demou, E. The relationship between organisational stressors and mental wellbeing within police officers: a systematic review. BMC Public Health. (2019) 19:1–21. doi: 10.1186/s12889-019-7609-0

Crossref Full Text | Google Scholar

103. Söderström, M, Jeding, K, Ekstedt, M, Perski, A, and Åkerstedt, T. Insufficient sleep predicts clinical burnout. J Occup Health Psychol. (2012) 17:175–83. doi: 10.1037/a0027518

PubMed Abstract | Crossref Full Text | Google Scholar

104. Vandekerckhove, M, and Cluydts, R. The emotional brain and sleep: an intimate relationship. Sleep Med Rev. (2010) 14:219–26. doi: 10.1016/j.smrv.2010.01.002

PubMed Abstract | Crossref Full Text | Google Scholar

105. Vyas, MV, Garg, AX, Iansavichus, AV, Costella, J, Donner, A, Laugsand, LE, et al. Shift work and vascular events: systematic review and meta-analysis. BMJ. (2012) 345:345. doi: 10.1136/bmj.e4800

Crossref Full Text | Google Scholar

106. Yun, I, Hwang, E, and Lynch, J. Police stressors, job satisfaction, burnout, and turnover intention among South Korean police officers. Asian J Criminol. (2015) 10:23–41. doi: 10.1007/s11417-015-9203-4

Crossref Full Text | Google Scholar

107. Lambert, EG, Qureshi, H, Frank, J, Klahm, C, and Smith, B. Job stress, job involvement, job satisfaction, and organizational commitment and their associations with job burnout among Indian police officers: a research note. J Police Crim Psychol. (2018) 33:85–99. doi: 10.1007/s11896-017-9236-y

Crossref Full Text | Google Scholar

108. Okeke, CI, and Mtyuda, PN. Teacher job dissatisfaction: implications for teacher sustainability and social transformation. J Teach Educ Sustainability. (2017) 19:57–68. doi: 10.1515/jtes-2017-0004

Crossref Full Text | Google Scholar

Keywords: Copenhagen Burnout Inventory, work-related burnout, police officer, prevalence, psychosocial risk factors, burnout, Ethiopia

Citation: Bezie AE, Getachew Yenealem D, Asega Belay A, Bitew Abie A, Abebaw T, Melaku C, Mamaye Y and Hailu Tesfaye A (2024) Prevalence of work-related burnout and associated factors among police officers in central Gondar zone, Northwest Ethiopia, 2023. Front. Public Health. 12:1355625. doi: 10.3389/fpubh.2024.1355625

Received: 14 December 2023; Accepted: 04 April 2024;
Published: 23 April 2024.

Edited by:

Jessica García González, University of Almeria, Spain

Reviewed by:

Assis Kamu, Universiti Malaysia Sabah, Malaysia
Angela Maia, University of Minho, Portugal

Copyright © 2024 Bezie, Getachew Yenealem, Asega Belay, Bitew Abie, Abebaw, Melaku, Mamaye and Hailu Tesfaye. 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: Anmut Endalkachew Bezie, YW5tdXQxMjE2QGdtYWlsLmNvbQ==

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