Fatigue is highly prevalent among doctors worldwide. However, no research has been done to examine the associations of emotional intelligence (EI) and emotional labor strategy with fatigue among Chinese doctors. This study aimed to examine whether or not emotional labor strategy mediates the association between EI and fatigue in this occupational group.
A cross-sectional study was conducted in Shenyang from March to April 2014. A set of self-administered questionnaires was distributed to 950 doctors, including Chalder Fatigue Scale (CFS), Wong and Law Emotional Intelligence Scale (WLEIS) and a 14-item emotional labor scale. Complete responses were obtained from 740 (77.9%) participants. Hierarchical linear regression was performed to examine the associations of EI and emotional labor strategies (surface acting, SA; deep acting, DA; natural acting, NA) with fatigue. Asymptotic and resampling strategies were used to examine the mediating roles of emotional labor strategies.
The mean score of fatigue was 8.02 (SD = 3.39). After adjusting for age, gender, marital status, job rank, monthly income, weekly working time, shift and department, EI was negatively associated with fatigue (β = − 0.270, P < 0.001). SA was positively associated with fatigue (β = 0.168, P < 0.001), whereas NA was negatively associated with fatigue (β = − 0.105, P = 0.004); however, DA was not significantly associated with fatigue (β = 0.034, P = 0.381). Thus, SA (a × b = − 0.026, BCa 95% CI: − 0.050, − 0.011) and NA (a × b = − 0.024, BCa 95% CI: − 0.046, − 0.006) significantly mediated the association between EI and fatigue, respectively.
There was a high level of fatigue among Chinese doctors. EI could indirectly reduce fatigue partially through modifying SA and NA strategies, respectively. EI intervention, education and training in emotional labor should be carried out to cope with fatigue.
Fatigue in the workplace comprises both physical and mental constructs, affecting the overall state of workers. Reduced proprioception and strength due to fatigue may lead to low work performance and quality, and high incidence of human errors and accidents [1, 2]. Moreover, fatigue may also result in many adverse health outcomes such as chronic fatigue syndrome, burnout, and work-related musculoskeletal disorders in the long term [3, 4]. Among the groups of healthcare occupations, fatigue has been described as a serious problem, especially doctors [5,6,7,8]. Fatigue is highly prevalent among doctors in China [7, 8]. Due to the shortage of health care professionals, doctors often work overload, and they have to work in an environment with various stressors, which make them prone to suffering from fatigue [6, 9]. It could not only affect the physical health of doctors, but also lead to decline in work performance and increase of mental health problems [7, 8, 10]. At the same time, the decline of work quality and efficiency caused by fatigue could directly impair patients’ satisfaction with health care services and the doctor-patient relationship. These stressors in turn will aggravate physical and mental fatigues, thus forming a vicious circle . Therefore, great attention should be paid to the etiology of fatigue in order to develop appropriate measures to prevent it among doctors.
In workplaces, fatigue may be a consequence of highly demanding work and various psychological and environmental factors. In doctors, in addition to physical fatigue caused by high workload, it is worth paying more attention to mental fatigue caused by adverse occupational psychological environment. Work stress perceived by doctors leads to negative emotional reactions and gradually consumes their energy. What’s more, mental fatigue can facilitate the perception of physical fatigue . Therefore, effective emotion regulation may have an important preventive role on fatigue . Emotional intelligence (EI), its concept was first proposed by Salovey and Mayer in 1990 , consisting of the abilities to identify, understand, harness and regulate emotions in oneself and in others. In the processes of diagnosis and treatment, doctors need to show specific and appropriate emotions to their patients in a high-stress environment. Also, doctors have to interact frequently with other people, such as patients’ family members, nurses, and consultants from other departments. Obviously, for doctors, EI is an important internal resource for dealing with interpersonal emotional pressure in those processes. For instance, doctors with higher EI are more likely to relieve their work stress and reduce tiredness by control emotions [15, 16]. A previous research has reported that the doctors who used the practical skills of EI, such as confidence, empathy, adaptability and conflict management, to communicate successfully with patients and colleagues might feel satisfied with their works .
Emotional labor is the process of managing feelings and expressions to achieve the professional requirements of emotion when interacting with customers, co-workers and superiors . According to the results of Diefendorff’s research, the performance of emotional labor strategy mainly includes three aspects: surface acting (SA, modifying facial expressions), deep acting (DA, modifying inner feelings) and natural acting (NA). Roles that have been identified as requiring emotional labor include many occupations in the tertiary/service sector , particularly within healthcare settings. Therefore, there is a great deal of emotional labor for health care workers who need face-to-face contact with patients for a long time at work [19, 20]. Hu et al. reported that the most frequently adopted strategy by doctors was NA, followed by DA and SA . In addition, as previously mentioned, SA could be more consistently problematic for employees’ well-being than DA. When employees play SA, their self-authenticities are damaged because of the internal and external conflict in emotion, and they will be prone to psychological distress, fatigue and job dissatisfaction [21,22,23]. Conversely, DA is an effortful process through which employees change their internal feelings to align with organizational expectations, and it is positively associated with organizational behavioral outcomes and physical and mental well-being. Therefore, health care providers should continuously prioritize and integrate these complex emotions and specific situations.
According to the results of many previous studies, EI has various effects on emotional labor strategies [23,24,25]. In some extent, EI can reduce SA, and improve DA and NA. Specifically, the doctor who has high EI could easily understand the emotions of patients in communication with them. In general, they don’t need to pay efforts to change their emotions, and natural emotion outpouring can satisfy organizational expectations. However, when internal feelings are not aligned with organizational expectations, doctors with high EI have adequate abilities to arouse or suppress their emotions . Therefore, EI could play its positive roles by influencing emotional labor strategies. Moreover, EI and emotional labor strategies can be changed through effective intervention to enable them to cope with stressful environments and prevent physical and mental fatigues in workplaces. However, no research has been done to examine the associations of EI and emotional labor strategies with fatigue among Chinese doctors to our best knowledge.
In light of the above concerns, the purpose of the present study was to verify the following three assumptions among Chinese doctors: 1) EI and emotional labor strategies are associated with fatigue, 2) EI is associated with emotional labor strategies, and 3) emotional labor strategies mediate the association between EI and fatigue.
Study design and sample
A cross-sectional study was conducted in Shenyang, the capital city of Liaoning Province, from March to April 2014. The city comprises thirteen districts, and five districts were selected in this study. From each selected district, two general hospitals were randomly selected. Thus, a total of ten large general hospitals were included in the present study. In China, a secondary hospital should possess 101–500 beds, while a tertiary hospital is required to have more than 500 beds. This study included six secondary hospitals and four tertiary hospitals. After obtaining a written informed consent from each participant, a set of self-administered questionnaires was directly distributed to 950 doctors from different departments. These questionnaires were completed anonymously in a private room after the respondent’s shift. Complete responses were obtained from 740 participants (effective response rate: 77.9%). The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Committee on Human Experimentation of China Medical University. In this study, all of the participants were voluntary and anonymous, and written informed consent was provided by them.
Measurement of fatigue
The Chalder Fatigue Scale (CFS) was used to measure fatigue severity . This is a 14-item dichotomized survey with two components, physical fatigue (8 items) and mental fatigue (6 items). Each item describes a fatigue-related problem with two responses, 0 (no fatigue-related problem) and 1 (have fatigue-related problem). A total fatigue score was calculated ranging from 0 to 14 in the study. A higher CFS-14 score indicates a higher fatigue severity. The Chinese version of the CFS-14 has been used in various occupational groups in China, and it has adequate reliability and validity [7, 8, 28]. In the present study, the Cronbach’s alpha coefficient of the total CFS-14 was 0.79.
Measurement of EI
The Wong and Law Emotional Intelligence Scale was used to measure EI . The WLEIS is comprised of 16 items with four subscales corresponding to the four components of EI: appraisal of self-emotions, appraisal of others’ emotions, use of emotion on cognition, and regulation of emotion. Each item in the WLEIS uses a 7-point Likert scale ranging from 1 (totally disagree) to 7 (totally agree). A total EI score was calculated ranging from 16 to 112 due to our interest in the overall construct. A higher score indicates a higher EI. The Chinese version of the WLEIS has shown adequate internal consistency and validity [15, 30]. In this study, the Cronbach’s alpha for the total WLEIS was 0.95.
Measurement of emotional labor
The 14-item scale described by Dieffendorff et al. (2005) was used to assess emotional labor . The scale items cover SA (7 items), DA (4 items), and NA (3 items). Each item is scored on a 5-point Likert scale ranging from 1 (strongly agree) to 5 (strongly disagree). Thus, the summed score of the three subscales ranged from 7 to 35, 4 to 20, and 3 to 15, respectively. A higher score indicates a higher emotional labor strategy. Some rewordings were applied to take account of the current sample. For example, the word “customers” in original items was replaced by “patients”. The Chinese scale has been widely applied among Chinese occupational groups with good reliability and validity [19, 20, 31]. The Cronbach’s alpha coefficients of the SA, DA, and NA subscales were 0.88, 0.79, and 0.89 in this study, respectively.
Demographic factors included gender, age (yrs), marital status and education. Marital status was categorized as single/widowed/divorced/separated and married/cohabitated. Education was categorized as junior college or lower, college, and postgraduate or higher.
Working characteristics including job rank, monthly income (RMB, yuan/US$), weekly working time (hrs), shift, hospital type and department were collected in this study. Job rank was categorized as staff and director. Monthly income was categorized as ≤ 3000 yaun/US$461, > 3000 yuan/US$461–4000 yuan/US$615, and > 4000 yuan/US$615. Weekly working time was divided into four groups: ≤ 40 h, 41–50 h, 51–60 h, and > 60 h. The work shift was defined as yes or no. Hospital type was categorized as secondary hospital and tertiary hospital. The departments of the participants were divided into five categories: internal medicine, surgery, obstetrics and gynecology, pediatrics, and others (dermatology, rehabilitation, blood purification, traditional Chinese medicine, anesthesiology, etc.).
The group differences of fatigue were analyzed by Student’s t-test or one-way ANOVA. Correlations among continuous variables were examined using Pearson’s correlation. Hierarchical linear regression analysis was performed to examine the associations of EI and emotional labor strategies (SA, DA and NA) with fatigue. EI was modeled as an independent variable, with fatigue as an outcome; SA, DA and NA as mediators, and demographic and working characteristics as covariates. In step 1, demographic and working variables were added. In step 2, EI was added. In step 3, SA, DA and NA were added. Variance inflation factor (VIF) was calculated to identify multi-collinearity. Asymptotic and resampling strategies were used to examine the three emotional labor strategies as potential mediators in the association between EI and fatigue based on 5000 bootstrap samples . A bias-corrected and accelerated 95% confidence interval (BCa 95% CI) was estimated for each mediation (a × b product), and a BCa 95% CI excluding 0 indicated a significant mediating role. Statistical analysis was executed by SPSS 19.0 software and a two-tailed P < 0.05 was viewed as statistically significant.
The demographic and working characteristics of subjects and comparisons on fatigue are shown in Table 1. There was a significant difference (t = 2.456, P = 0.014) in the level of fatigue between men and women. Married/cohabited doctors reported a higher fatigue score compared with those single/divorced/widowed/separated (t = 3.203, P = 0.001). However, educational level was not significantly related to the level of fatigue. In view of working characteristics, job rank, monthly income, weekly working time, shift and department were all significantly related to the score of fatigue. However, hospital type was not significantly related to the fatigue of doctors.
Correlations among study variables
Correlations among study variables are presented in Table 2. The mean age of our sample was 39.20 yrs. (SD = 8.78), and the mean score of fatigue was 8.02 (SD = 3.39). Age was negatively correlated with SA and DA, respectively. EI was negatively correlated with SA and fatigue, but was positively correlated with NA. SA and DA were positively correlated with fatigue, whereas NA was negatively correlated with fatigue.
Associations of EI and emotional labor strategies with fatigue
The results of hierarchical linear regression analysis on the associations of EI and the three emotional labor strategies with fatigue are presented in Table 3. Firstly, the VIFs of all independent variables were less than 1.6, suggesting that multi-collinearity was not an issue in the estimate. After adjusting for age, gender, marital status, job rank, monthly income, weekly working time, shift and department in step 2, EI was negatively associated with fatigue (β = − 0.320, P < 0.001). EI accounted for an additional 9.7% of the variance of fatigue. In step 3, SA was positively associated with fatigue (β = 0.168, P < 0.001), whereas NA was negatively associated with fatigue (β = − 0.105, P = 0.004); however, DA was not significantly associated with fatigue (β = 0.034, P = 0.381). These emotional labor strategies accounted for an additional 4.6% of the variance of fatigue. When these emotional labor strategies were added in step 3, the absolute value of EI’ β was diminished. Thus, emotional labor strategies could probably become mediators in the association between EI and fatigue.
Mediating roles of emotional labor strategies
Based on the results of hierarchical linear regression analysis in Table 3, asymptotic and resampling strategies were used to examine the mediating roles of emotional labor strategies. As shown in Table 4, EI was negatively associated with SA (a = − 0.157, P < 0.01), whereas EI was positively associated with NA (a = 0.232, P < 0.01). Thus, SA (a × b = − 0.026, BCa 95% CI: − 0.050, − 0.011) and NA (a × b = − 0.024, BCa 95% CI: − 0.046, − 0.006) significantly mediated the association between EI and fatigue, respectively. In addition, the proportions of mediating roles of SA and NA were 8.1 and 7.5% in the total effect of EI on fatigue, respectively.
The result of the present study showed that the mean score of fatigue was 8.02 ± 3.39 among Chinese doctors of Shenyang, Liaoning Province, and it was higher than the result of a previous study in the same occupational group of Hainan Province in China , and basically consistent with the fatigue level of doctors (8.03 ± 2.87) from Anshan of Liaoning Province . Lin et al. reported a higher fatigue level among Chinese doctors of Zhuhai, Guangdong Province . The fatigue level of doctors in this study was also higher than the results of general population (5.50 ± 3.09)  and scientific and technical personnel (7.28 ± 3.37)  in China. In the United States, the physical and mental fatigues of doctors are very common. O’Donnell et al. had reported that nearly half of physicians (45.4%) had high levels of fatigue, and there was a strongly positive association between fatigue and dissatisfaction with practicing medicine . Also, doctors in Japan are suffering from prolonged fatigue [6, 35]. The fatigue of doctors is associated with sick leave and injury, and it can increase the frequency of task errors and affect the safety of patients. As a common and serious problem among doctors worldwide, fatigue needs to be paid more attention by themselves and hospital managers.
In this study, EI had a significantly negative association with fatigue, and this result is consistent with findings from other studies [36, 37]. The finding of Zeidner et al. indicated that self-report trait EI was inversely associated with compassion fatigue in health-care professionals . Similarly, Weng et al. found that higher self-rated EI was significantly associated with less burnout among internists . One possible explanation for these findings is that EI could facilitate the development of individuals’ coping resources, such as healthy emotions, adaptive explanations and adequate social support, which help them prevent physical and mental fatigues.
The three emotional labor strategies had different effects on fatigue among Chinese doctors of Shenyang in this study. Our result showed that SA was positively associated with fatigue, whereas there was a negative association between NA and fatigue. Because of the inconsistency between the use of SA and cognitive evaluation and emotional experience, doctors need to passively exert some efforts to maintain their external emotional performance. This not only consumes physiological and psychological resources, but also causes fatigue when these consumed resources can’t be effectively supplemented . However, DA is an internal emotional experience, and it is adjusted through positive thinking and striving . Although DA has considerable positive effects on both individual and organizational outcomes, it still involves a great expenditure of energy to deeply modify one’s feelings in the process of adjustment . For NA, employees do not need to adjust their emotions in cognition, and they naturally come up with the emotions that have been experienced in the workplace. Obviously, NA is a daily, without effort, and not a source of stress. Thus, NA was negatively associated with the level of fatigue among Chinese doctors in this study.
In addition, EI was an important influencing factor of the performance of emotional labor strategy in this study [23,24,25], which is mainly reflected in the two strategies: SA and NA. The results indicated that EI was significantly and negatively associated with SA strategy, and positively associated with NA strategy, but did not significantly affect DA strategy . Specifically, doctors with higher EI are more inclined to use NA strategy. Those doctors are naturally able to feel empathic in the face of patients’ various situations, and express the emotions in line with the organization’s requirements. In this case, they almost do not need to pay any emotional effort and cost. However, for doctors with lower EI, they often adopt SA strategy, because they can’t really understand their own feelings, control emotions and act reasonably, resulting in the inability to reconcile their internal emotions with supposed emotions. This study also firstly proved that emotional labor strategies mediated the association between EI and fatigue among Chinese doctors. Specifically, EI could lead to the reduction of SA strategy, and promote the use of NA strategy. Thus, EI directly and indirectly decreased the doctor’s perception of fatigue.
In addition, the study found that the doctors who married/cohabited are more prone to fatigue than those single/divorced/widowed/separated doctors, because the former shoulder the dual responsibilities and pressures from work and family, which aggravates fatigue . There was a significantly negative association between high job rank and fatigue . Although directors have to undertake both medical care and management tasks, they have greater autonomy and higher rewards at work than general practitioners. What’s more, job position is usually proportional to working income, and monthly income was negatively associated with the level of fatigue in this study . Therefore, equitable work income is a protective factor in coping with fatigue. Consistent with some previous research results [6, 9], weekly working time was positively associated with the level of fatigue in this study. Therefore, it is recognized that the rationalization of working time is an effective measure. In addition, the department of doctors was related to the level of fatigue . In particular, surgeons could tend to report a higher fatigue than internists. A reasonable reason is that surgeons often have to spend a lot of physical energy during their surgical operations.
According to the results of this study, fatigue could be reduced from the perspectives of EI and emotional labor strategies. First of all, hospital managers should provide doctors with the opportunities and ways to learn emotional self-regulation, in order to improve their EI levels gradually . Secondly, emotional labor education and training should be carried out to avoid the formation of SA strategy [18, 42], which could reduce the physical and mental fatigues of doctors.
Before conclusions can be drawn, several limitations of this study must be acknowledged. Firstly, due to cross-sectional design, it can not to assess the causal relationships among study variables in the study, which need to be confirmed in longitudinal study. In fact, our research hypotheses were based on solid theoretical and research foundations. Secondly, the present study was only conducted at the secondary and tertiary general hospitals in a provincial capital city, in northeast China. Therefore, further research is needed to improve the generalization of our findings among doctors from hospitals in different levels and regions. Additionally, the associations among study variables might be affected by the unique use of self-report measures. Measurement tools with adequate reliability and validity and the anonymity of respondents were adopted to reduce common-method bias.
There was a high level of fatigue among Chinese doctors. EI was negatively associated with fatigue. SA was positively associated with fatigue, and NA was negatively associated with fatigue. However, DA was not significantly associated with fatigue. EI could indirectly reduce fatigue partially through modifying SA and NA strategies, respectively. Therefore, EI intervention, as well as education and training in emotional labor should be carried out to cope with fatigue among Chinese doctors.
- BCa 95% CI:
Bias-corrected and accelerated 95% confidence interval
Chalder Fatigue Scale
Variance inflation factor
Wong and Law Emotional Intelligence Scale
Bérastégui P, Jaspar M, Ghuysen A, Nyssen AS. Fatigue-related risk management in the emergency department: a focus-group study. Intern Emerg Med. 2018; https://doi.org/10.1007/s11739-018-1873-3.
McClelland L, Holland J, Lomas JP, Redfern N, Plunkett E. A national survey of the effects of fatigue on trainees in anaesthesia in the UK. Anaesthesia. 2017;72(9):1069–77.
Sadeghniiat-Haghighi K, Yazdi Z. Fatigue management in the workplace. Ind Psychiatry J. 2015;24(1):12–7.
Rose DM, Seidler A, Nübling M, Latza U, Brähler E, Klein EM, et al. Associations of fatigue to work-related stress, mental and physical health in an employed community sample. BMC Psychiatry. 2017;17(1):167.
O’Donnell EP, Humeniuk KM, West CP, Tilburt JC. The effects of fatigue and dissatisfaction on how physicians perceive their social responsibilities. Mayo Clin Proc. 2015;90(2):194–201.
Wada K, Arimatsu M, Yoshikawa T, Oda S, Taniguchi H, Higashi T, et al. Factors on working conditions and prolonged fatigue among physicians in Japan. Int Arch Occup Environ Health 2008;82(1):59–66.
Gao Y, Wang X, Li Q, Guo M, Li G. Relationship between chronic fatigue and psychological health of medical staff from 3A-hospital in Hainan Province. J Zhengzhou Univ Med Sci. 2013;48(5):674–7.
Lin H, Wang X, Hu X, Zhang X, Zhai J, Cai W. Analysis on relationship of chronic fatigue and mental health of medical staff in Zhuhai City. Ind Health Occup Dis. 2017;43(2):140–4. 148
Cai S, Lin H, Hu X, Cai YX, Chen K, Cai WZ. High fatigue and its associations with health and work related factors among female medical personnel at 54 hospitals in Zhuhai, China. Psychol Health Med. 2018;23(3):304–16.
Westbrook JI, Raban MZ, Walter SR, Douglas H. Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study. BMJ Qual Saf. 2018; https://doi.org/10.1136/bmjqs-2017-007333.
Lerman SE, Eskin E, Flower DJ, George EC, Gerson B, Hartenbaum N, et al. Fatigue risk management in the workplace. J Occup Environ Med. 2012;54(2):231–58.
Mehta RK, Parasuraman R. Effects of mental fatigue on the development of physical fatigue: a neuroergonomic approach. Hum Factors. 2014;56(4):645–56.
Sánchez-Álvarez N, Extremera N, Fernández-Berrocal P. The relation between emotional intelligence and subjective well-being: a meta-analytic investigation. J Posit Psychol. 2016;11(3):276–85.
Salovey P, Mayer JD. Emotional intelligence. Imagin Cogn Pers. 1990;9(3):185–211.
Weng HC, Hung CM, Liu YT, Cheng YJ, Yen CY, Chang CC, et al. Associations between emotional intelligence and doctor burnout, job satisfaction and patient satisfaction. Med Educ. 2011;45(8):835–42.
Psilopanagioti A, Anagnostopoulos F, Mourtou E, Niakas D. Emotional intelligence, emotional labor, and job satisfaction among physicians in Greece. BMC Health Serv Res. 2012;12:463.
Diefendorff JM, Croyle MH, Gosserand RH. The dimensionality and antecedents of emotional labor strategies. J Vocat Behav. 2005;66(2):339–57.
Humphrey RH, Ashforth BE, Diefendorff JM. The bright side of emotional labor. J Organ Behav. 2015;36(6):749–69.
Li W, Liu L, Lin J, Jiang Y, Zeng X. Influence of emotional intelligence on emotional labor among medical staff in primary health care institutions. Occup Health. 2016;32(1):34–7.
Hu Q, Sun J, Sun HW. Relationship between emotional labor and personality traits of medical staff. Chin J Behav Med Brain Sci. 2010;19(1):75–7.
Bechtoldt MN, Rohrmann S, De Pater IE, Beersma B. The primary of perceiving: emotion recognition buffers negative effects of emotional labor. J Appl Psychol. 2011;96(5):1087–94.
Grandey A, Foo SC, Groth M, Goodwin RE. Free to be you and me: a climate of authenticity alleviates burnout from emotional labor. J Occup Health Psychol. 2012;17(1):1–14.
Santos A, Mustafa MJ, Gwi TC. Trait emotional intelligence, emotional labour, and burnout among Malaysian HR professionals. Manag Res Rev. 2015;38(1):67–88.
Rathi N. Impact of emotional intelligence and emotional labor on organizational outcomes in service organizations: a conceptual model. South Asian J Manag. 2014;21(4):54–71.
Hur WM, Moon TW, Han SJ. The role of chronological age and work experience on emotional labor: the mediating effect of emotional intelligence. Career Dev Int. 2014;19(7):734–54.
Liang X, Chen M, Wang H, Mao X. The correlation analysis between the employed nurse’ emotional intelligence and the strategies of emotional work. Chin J Mod Nurs. 2010;16(23):2729–31.
Chalder T, Berelowitz G, Pawlikowska T, Watts L, Wessely S, Wright D, et al. Development of a fatigue scale. J Psychosom Res. 1993;37(2):147–53.
Yang T, Zhou D, Song M, Lan Y. Analysis of work-related fatigue characteristics and its influencing factors in scientific and technical personnel. Chin J Ind Hyg Occup Dis. 2015;33(2):100–3.
Wong CS, Law KS. The effects of leader and follower emotional intelligence on performance and attitude. An exploratory study Leadersh Q. 2002;13(3):243–74.
Zhu Y, Liu C, Guo B, Zhao L, Lou F. The impact of emotional intelligence on work engagement of registered nurses: the mediating role of organisational justice. J Clin Nurs. 2015;24(15–16):2115–24.
Yin H, Huang S, Lee JCK. Choose your strategy wisely: examining the relationships between emotional labor in teaching and teacher efficacy in Hong Kong primary schools. Teach Teach Educ. 2017;66:127–36.
Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Meth. 2008;40(3):879–91.
Liu R, Du M, Jia X. Investigation and analysis of doctors’ fatigue in the tertiary general hospitals of Anshan City. Mod Hosp Manag. 2014;12(1):43–5.
Wang T, Zhang C, Liu Y, Jiao Y. A study on the characteristic of fatigue, depression, anxiety, life event and their correlation in the patients with chronic fatigue syndrome. Chin J Behav Med Sci. 2000;9(2):84–6.
Ohta H, Wada K, Kawashima M, Arimatsu M, Higashi T, Yoshikawa T, et al. Work-family conflict and prolonged fatigue among Japanese married male physicians. Int Arch Occup Environ Health. 2011;84(8):937–42.
Zeidner M, Hadar D, Matthews G, Roberts RD. Personal factors related to compassion fatigue in health professionals. Anxiety Stress Coping. 2013;26(6):595–609.
Brown RF, Schutte NS. Direct and indirect relationships between emotional intelligence and subjective fatigue in university students. J Psychosom Res. 2006;60(6):585–93.
Brotheridge CM, Lee RT. Testing a conservation of resources model of the dynamics of emotional labor. J Occup Health Psychol. 2002;7(1):57–67.
Zapf D. Emotion work and psychological well-being: A review of the literature and some conceptual considerations. Human Res Manag Rev. 2002;12(2):237–68.
Mikolajczak M, Menil C, Luminet O. Explaining the protective effect of trait emotional intelligence regarding occupational stress: exploration of emotional labour processes. J Res Pers. 2007;41(5):1107–17.
Hammerly ME, Harmon L, Schwaitzberg SD. Good to great: using 360-degree feedback to improve physician emotional intelligence. J Healthc Manag. 2014;59(5):354–65.
Shani A, Uriely N, Reichel A, Ginsburg L. Demographic and working characteristics of Demographic and working characteristics of influence of contextual factors. Int J Hosp Manag. 2014;37(2):150–8.
The authors would like to thank all the doctors who voluntarily participated in this study.
Availability of data and materials
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
All participants were voluntary and anonymous, and written informed consent was provided. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Committee on Human Experimentation of China Medical University.
Consent for publication
The author(s) declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Liu, L., Xu, P., Zhou, K. et al. Mediating role of emotional labor in the association between emotional intelligence and fatigue among Chinese doctors: a cross-sectional study. BMC Public Health 18, 881 (2018). https://doi.org/10.1186/s12889-018-5817-7
- Emotional intelligence
- Emotional labor
- Moderating role
- Hospital management