Recovery Experience: A Concept for Maintaining Quality of Life and Its Mediating Effect Among Female Nurses in China.

PURPOSE: Nurses are high-risk groups for job burnout, which affect their quality of life (QOL). Recovery experience, a conceptualization of positive psychological resources, can combat the negative impacts of job burnout on health and QOL. The aim of this study was to examine the mediating effect of recovery experience on the relationship between job burnout and QOL among female nurses in China. PARTICIPANTS AND METHODS: QOL information was captured from 1068 female nurses from December 2017 to February 2018 in tertiary hospitals in Shenyang, Liaoning Province of China. A structural equation model was employed to examine the mediating effect of recovery experience on the relationship between job burnout and QOL.
RESULTS: Job burnout had a significant impact on both the mental component summary and the physical component summary of a 36-item Short-Form Health Survey. However, mental component summary scores were significantly lower than physical component summary scores in female nurses. Recovery experience played a mediating role in the relationship between job burnout and QOL.
CONCLUSION: Job burnout could result in a reduction in QOL among Chinese female nurses. Recovery experience, as a mediating factor, could alleviate the impact of job burnout on QOL. Recovery experience should be strengthened to attenuate job burnout and enhance QOL.

Introduction

Nursing is an occupation with a high level of job burnout, and nurses are considered to be vulnerable to stress-related diseases that affect their health status and quality of life (QOL).1,2 A large number of reports indicate that occupational stress, burnout, high turnover and taking long-term sick leave are common among Chinese nurses.3,4 Female nurses are at greater risk due to physical and psychological susceptibility to the adverse effects of burnout.5 Numerous studies have demonstrated that most female nurses suffer from physical and psychological health problems that seriously impair their QOL.6,7 QOL among nurses is significantly lower than that of the general population and it has become a major public health issue in most developed and developing countries.8

Nurses play an important role in the process of health-care service delivery. However, they are exposed to excessive workloads, night shift schedules, a lack of social and family support.7,9,10 Nurses always face with an imbalance between effort exerted and reward received, and high levels of stress from the needs for continuing education and promotion.11 Results from previous studies show that health status among nurses might be related to some personal factors such as age, marital status, education and chronic disease.12,13 In addition, work-related relationship conflicts and exposure to the unpredictable work-related risks is incompatible in their working conditions.14 They also confront with the embarrassed situations that their physical, mental, emotional, social and even spiritual health are challenged every day.15 All these factors add to the burden on nurses, resulting in physical and mental suffering, and ultimately leading to a significant reduction in their QOL.

Job burnout was found to have a strong negative correlation with QOL.16 Studies have indicated that job burnout is related to medical malpractice, higher absence, and turnover rates, and it has a negative impact on nurses’ QOL and the medical treatment outcomes of the patients.17–19 Nurses, under the work-related pressure and facing with high work intensity, are susceptible to a high prevalence of job burnout.20 The prevalence of job burnout among Chinese nurses ranged from 32% to 68.1%.21 Most previous studies showed that the more severe the burnout was, the higher the prevalence of physical and mental problems were.22,23 Therefore, it is very urgent for the nurses to be strengthened with burnout training to prevent from the occurrence of health problems and improve their QOL.24

In order to well understand the responses to work-related stress and the underlying explanations of recovery experiences, the Conservation of Resources (COR) theory and the Effort-Recovery (E-R) Model were referred to provide a theoretical framework in this study.25–27 The COR theory describes psychological stress as the result of a threat or actual loss of resources, or lack of resource gain,28 while the E-R model explains how recovery experience can put a halt to the process of resource loss.26 Recovery experience is an emotional process characterized by a reluctance to continue with present demands, which is based on E-R model and is a conceptualization of the kind of positive resources that can help maintain well-being in the working environment.26 Recovery is defined as the state during which the individual’s functioning returns to a pre-stressor level and refers to the need to recuperate and wind down after effort invested in work.29 Previous studies indicated that the need for recovery was associated with high levels of burnout and was an important indicator of the prevalence of the health problems.30 Recovery experience is a positive psychological factor that can alleviate occupational stress,31 reduce job burnout, and improve QOL for nurses. It is an important concept in the context of occupational health and professional well-being, and can be defined as the process of improving emotions and relieving stress using psychological detachment, relaxation, mastery experiences, and control.32 Hong Fang and others have suggested that recovery experience can be used as a personal resource to reduce the negative impacts of job requirements on professional well-being.33 A better recovery experience helps the nurses by relieving stress, reducing emotional exhaustion, promoting higher job satisfaction, improving subjective well-being, reducing job burnout, and ultimately improving QOL.34,35

Research on recovery experience is still in its infancy in China and there are few studies on nurses’ recovery experience. In particular, the impacts of recovery experience on QOL need further analysis, not just to improve understanding, but also to identify interventions to enhance the recovery experience of female nurses and improve their QOL. It is of great importance for the development of female nurses’ QOL, as well as for improving the quality and efficiency of health services and patients’ treatment outcomes. With the purpose of relieving the adverse effects of job burnout and enhancing the nurses’ health status, a cross-sectional survey was conducted among nurses to explore the relation of job burnout and recovery experience to QOL. The research hypotheses were: (1) Job burnout has a direct negative impact on QOL; (2) Recovery experience has a positive impact on QOL; (3) Job burnout also affects QOL through the mediating path of recovery experience.

Materials and Methods

Participants and Sampling

A cross-sectional study with the proportional sampling was conducted from December 2017 to February 2018 in tertiary hospitals in Shenyang, Liaoning Province of China. Two hospitals in each area (east, west, south, and north) of Shenyang were randomly selected. The sample consisted of about 1500 female nurses from 8 hospitals in Shenyang in Northeast China. About 30% of the nurses were randomly selected in the clinical departments of each hospital. Inclusion criteria were: (1) 18–65 years old; (2) having a Registered Nurse license; (3) having worked for 1 year or longer. Self-administered mobile phone questionnaires pertaining to demographic characteristics, job burnout, recovery experience and QOL were sent to the selected nurses. A total of 1068 questionnaires were completed, resulting in a 71.2% valid response rate.

Ethics Statement

The informed consent of the participants was obtained before the questionnaire began. Each participant gave electronic consent to the survey after being informed of the aims of the study and contents of the questionnaire. The questionnaire took approximately 20 minutes. The research was conducted in accordance with the Helsinki Declaration as revised in 1989, and the protocol was approved by the Ethics Committee of China Medical University (CMU1210400061).

Measures

Demographic Characteristics of the Participants

Demographic characteristics included age, marital status, educational level, monthly income, weekly work hours, night shifts worked and chronic diseases. “Marital status” was categorized as “married or cohabiting” and “others” including unmarried, separated or divorced. “Educational level” was categorized as “junior college or lower” and “bachelor or higher”. “Monthly income” was categorized as “<3000 RMB” and “≥3000 RMB”. “Weekly work hours” was categorized as “≤40 hrs./week” and “>40 hrs./week”. “Night shift” was determined with the question “Do you work night shift (yes/no)?”. “Chronic diseases” was determined with the question “Do you have any chronic diseases (yes/no)?”.

Job Burnout

Job burnout was assessed with the Maslach Burnout Inventory-General Scale (MBI-GS).36 The Chinese version of MBI-GS composed of 15 items, which is widely used among the Chinese population,37,38 and it has three dimensions: emotional exhaustion (5 items, such as, “I feel used up at the end of the workday”), depersonalization (4 items, such as, “I have become less enthusiastic about my work”), and personal accomplishment (6 items, such as, “I deal very effectively with the problems of my work”). There are seven selected answers for each item: never, rarely (several times per year), sometimes (once a month), often (several times per month), frequently (once a week), always (several times per week) and every day. Respondents scored from 0 to 6 according to how often they had experienced the statement. High scores for depersonalization or emotional exhaustion and low scores for personal achievement indicate high levels of job burnout. The original Cronbach’s alpha of the MBI-GS was 0.84.39 In this study, the Cronbach’s alpha coefficient of the MBI-GS was 0.85 and the validity was 0.91.

Recovery Experience

Recovery experience was evaluated using the Recovery Experience Questionnaire developed by Sonnentag and Fritz, which has a total of 16 items with a 5-point Likert scale.32 Analysis is conducted in four dimensions: psychological detachment (such as, “I forget about work”), relaxation (such as, “I kick back and relax”), mastery experiences (such as, “I learn new things”), and control (such as, “I feel like I can decide for myself what to do”). There were five answers for each item: never, rarely, sometimes, often, and always. Respondents scored from 1 to 5 according to how often they had experienced the statement, with a higher score indicating better recovery experience. The original Cronbach’s alpha of the Recovery Experience Questionnaire was 0.83.31 In this study, the Recovery Experience Questionnaire’s Cronbach’s alpha was 0.90 and the validity was 0.89.

QOL

The 36-item Short-Form Health Survey (SF-36) is one of the most commonly used universal QOL scales40 with eight dimensions: bodily pain (BP), physical function (PF), general perception of health (GH), role limitation due to physical problems (RP), social functioning (SF), energy and vitality (VT), mental health (MH), and role limitation due to emotional problems (RE). It can be categorized as a mental component summary (MCS) and physical component summary (PCS). RE, SF, MH and VT are categorized as mental components, while PF, RP, BP and GH are categorized as physical components. There is a summarized question in SF-36: “In general, would you say your health is?”. Scores range from 0 to 100 with high scores indicating good QOL. The original Cronbach’s alpha of the SF-36 was 0.86.41 The QOL Cronbach’s alpha was 0.65 and the validity was 0.93 in this study.

Statistical Analysis

T-test and ANOVA were used to evaluate QOL categorical variables. Spearman correlation coefficient was used to test the relationship between job burnout, recovery experience and QOL. Hierarchical multiple regression (HMR) analysis was used to test the incremental variance of the independent variables. The dependent variable was the QOL of female nurses. The independent variables were entered in the following steps: 1) demographic characteristics and work-related characteristics of the nurses; 2) job burnout; 3) recovery experience. Blocks of variables entered in later stages were tested for their extra contribution to the equation.33 A structural equation model (SEM) was used to examine the mediating effect of recovery experience on the relationship between job burnout and QOL.42 The dependent variable was QOL and the independent variable was job burnout, while recovery experience was the mediator. The model met the following criteria: χ2/df < 5, CFI > 0.90, TLI > 0.90, GFI > 0.90, and RMSEA < 0.08. If the direct path coefficient of job burnout on QOL decreased or disappeared of statistical significance after adding mediator of recovery experience, the mediation effect was confirmed. Bootstrapping strategies were used to test the mediating effect (a*b product) of recovery experience on the relationship between job burnout and QOL, with the bootstrap estimate based on 5000 samples. A bias-corrected and accelerated 95% CI (BCa 95% CI) for each a*b product was examined. SPSS 17.0 and Amos 17.0 were used to analyze the data. A two-tailed probability value of less than 0.05 indicated statistical significance.

Results

Demographic Characteristics of the Nurses

The demographic characteristics of the female nurses surveyed are shown in Table 1. The mean age was 32.8±8.2 years old. More than two-thirds of the nurses were married or cohabiting (68.4%), and most nurses had a bachelor or higher degree (68.7%) and with a monthly income of 3000 RMB or more (65.9%). In this study, the majority of the nurses (71.1%) worked more than 40 hrs./week, 55.5% of the nurses had night shifts of work, and 17.8% of the nurses suffered from chronic diseases. As shown in Table 2, there were significant differences in the PCS and MCS scores by marital status, weekly working hours and chronic diseases. In addition, nurses who were more than 30 years old reported lower PCS scores than those aged 30 years old or younger. MCS scores were significantly lower than PCS scores. Married or cohabiting nurses had lower scores for both PCS and MCS than the corresponding groups. Nurses who worked more than 40hrs/week reported significantly lower QOL scores than those who worked less than 40 hrs./week. Moreover, the participants with chronic diseases had lower scores for both PCS and MCS than those without chronic diseases.

Table 1

Demographic Characteristics of Female Nurses

	N=1068	%
Age
≤30	555	52.0
>30	513	48.0
Marital status
Married or cohabiting	730	68.4
Others	338	31.6
Educational level
Junior college or lower	334	31.3
Bachelor or higher	734	68.7
Monthly income
<3000 RMB	364	34.1
≥3000 RMB	704	65.9
Weekly work hours
≤40hrs/week	309	28.9
>40hrs/week	759	71.1
Night shift
Yes	593	55.5
No	475	44.5
Chronic diseases
Yes	190	17.8
No	878	82.2

Table 2

QOL Scores of the Nurses

	PCS	MCS
Age
≤30	74.62±17.99**	64.28±18.68
>30	71.40±18.63	62.42±19.84
Marital status
Married or cohabiting	71.73±18.37	62.11±19.19
Others	75.96±18.03**	66.14±19.14**
Educational level
Junior college or lower	74.57±17.78	64.95±17.89
Bachelor or higher	72.39±18.59	62.68±19.82
Monthly income
<3000 RMB	72.35±18.53	62.05±19.03
≥3000 RMB	73.45±18.28	64.08±19.35
Weekly work hours
≤40hrs/week	77.28±16.46**	67.70±18.08**
>40hrs/week	71.36±18.82	61.63±19.46
Night shift
Yes	72.72±18.05	62.58±19.32
No	73.51±18.75	64.39±19.16
Chronic diseases
Yes	58.96±17.85	51.93±19.65
No	76.12±17.00**	65.87±18.26**

Note: **P<0.01.

Correlations Among Job Burnout, Recovery Experience and QOL

Correlations between job burnout, recovery experience and QOL are provided in Table 3. QOL was significantly correlated with job burnout and recovery experience. Personal accomplishment, relaxation, mastery experiences and control were positively correlated with PCS and MCS (P < 0.05), whereas emotional exhaustion, depersonalization and psychological detachment were significantly negatively correlated with PCS and MCS (P < 0.05).

Table 3

The Correlation Among Job Burnout, Recovery Experience and QOL

	Mean	SD	1	2	3	4	5	6	7	8	9
Physical health	73.07	18.36	1
Mental health	63.39	19.26	0.765**	1
Emotional exhaustion	2.29	1.60	−0.533**	−0.604**	1
Depersonalization	1.63	1.44	−0.499*	−0.577**	0.763*	1
Personal accomplishment	4.28	1.54	0.186**	0.283**	−0.106**	−0.199**	1
Psychological detachment	7.84	3.22	−0.184**	−0.174**	0.089**	0.197**	−0.213**	1
Relaxation	11.70	3.73	0.291**	0.384**	−0.309**	−0.254**	0.179**	0.343**	1
Mastery experiences	12.16	3.49	0.277**	0.382**	−0.297**	−0.296**	0.314**	0.247**	0.658**	1
Control	12.89	3.87	0.340**	0.443**	−0.385**	−0.367**	0.315**	0.202**	0.690**	0.686**	1

Notes: *P< 0.05; **P < 0.01.

Regression Analysis of Job Burnout, Recovery Experience and QOL

The results of the HMR models of QOL are shown in Tables 4 and 5. A total of 41.3% and 51.4% of the variance was explained by the final regression model of PCS and MCS, respectively. According to the R2 change, job burnout contributed most to the variance of MCS (35.0%), followed by the PCS (22.5%). Chronic diseases, emotional exhaustion, depersonalization, psychological detachment, and relaxation were the strong predictors of PCS. Emotional exhaustion, depersonalization, and psychological detachment were negatively associated with PCS, while relaxation was positively associated with PCS. Emotional exhaustion, depersonalization, and psychological detachment were negatively associated with MCS, while personal accomplishment, relaxation, mastery experiences, and control were positively associated with MCS. Chronic diseases and marital status were also the significant predictors of MCS.

Table 4

The Hierarchical Multiple Regression Models of PCS

	Model1 (B)	Model2 (B)	Model3 (B)
BLOCK 1 Demographic characteristics and work-related characteristics
Age	0.027	−0.033	−0.026
Marital status (Married or cohabiting vs Others)	−0.088**	−0.070*	−0.049
Educational level (Junior college or lower vs Bachelor or higher)	−0.005	−0.009	−0.007
Monthly income (<3000 RMB vs ≥3000 RMB)	−0.068*	−0.044	−0.041
Weekly work hours (≤40hrs/week vs >40hrs/week)	0.135**	0.050*	0.032
Night shift (yes vs no)	−0.007	−0.015	−0.018
Chronic diseases (yes vs no)	−0.348**	−0.229**	−0.225**
BLOCK 2 Job burnout
Emotional exhaustion		−0.330**	−0.296**
Depersonalization		−0.165**	−0.109**
Personal accomplishment		0.117**	0.037
BLOCK 3 Recovery experience
Psychological detachment			−0.189**
Relaxation			0.124**
Mastery experiences			0.032
Control			0.067
R2	0.154	0.379	0.413
ΔR2	0.154	0.225	0.034

Notes: *P < 0.05; **P < 0.01.

Table 5

The Hierarchical Multiple Regression Models of MCS

	Model1 (B)	Model2 (B)	Model3 (B)
BLOCK 1 Demographic characteristics and work-related characteristics
Age	0.071*	−0.007	0.011
Marital status (Married or cohabiting vs Others)	−0.111**	−0.090**	−0.063*
Educational level (Junior college or lower vs Bachelor or higher)	0.002	−0.003	0.001
Monthly income (<3000 RMB vs.≥3000 RMB)	−0.073*	−0.041	−0.033
Weekly work hours (≤40hrs/week vs >40hrs/week)	0.133**	0.030	0.012
Night shift (yes vs no)	−0.029	−0.039	−0.047*
Chronic diseases (yes vs no)	−0.270**	−0.126**	−0.118**
BLOCK 2 Job burnout
Emotional exhaustion		−0.386 **	−0.323**
Depersonalization		−0.207**	−0.149**
Personal accomplishment		0.199**	0.096**
BLOCK 3 Recovery experience
Psychological detachment			−0.181**
Relaxation			0.160**
Mastery experiences			0.074*
Control			0.091**
R2	0.111	0.460	0.514
ΔR2	0.111	0.350	0.054

Notes: *P < 0.05; **P < 0.01.

The Mediating Role of Recovery Experience on the Relationship of Job Burnout and QOL

The direct pathway of job burnout to QOL is illustrated in Figure 1. The structural equation model (SEM) showed the negative association of job burnout with PCS (c = −0.94, P<0.01) and MCS (c = −0.99, P<0.01). This model had good fit with the data (χ2/df < 5, P<0.01, GFI = 0.974, AGFI = 0.947, CFI = 0.979, TLI = 0.964, and RMSEA = 0.059).

Figure 1

Standardized solutions for the structural equation model of job burnout and QOL.

The mediating role of recovery experience on the relationship between job burnout and QOL is illustrated in Figure 2. The path coefficient of job burnout to PCS (c’ = −0.68, P<0.01) and MCS (c’ = −0.67, P<0.01) was decreased significantly when recovery experience was modeled as a mediator. The bias-corrected and accelerated bootstrap test indicated that recovery experience acted as the mediator between the relationship of job burnout and PCS (a * b = −0.075, BCa 95% CI: −0.107, −0.048) and MCS (a * b = −0.132, BCa 95% CI: −0.165, −0.103). This result confirmed the significant mediating role of recovery experience on the relationship between job burnout and QOL. The model presented in Figure 2 is fully supported by all standard goodness of fit indices (χ2/df < 5, RMSEA = 0.058, CFI = 0.969, GFI = 0.963, AGFI = 0.935, and TLI = 0.954). Thus, job burnout directly affected QOL in this study, and it also influenced QOL indirectly via the mediating path of recovery experience.

Figure 2

Standardized solutions for the structural equation model of recovery experience, job burnout, and QOL.

Discussion

To the best of our knowledge, this study is the first to explore the mediating role of recovery experience in the relationship between job burnout and QOL among Chinese female nurses. This study revealed that job burnout had the strongest negative impact on QOL among the nurses, while recovery experience was a mediator between job burnout and QOL. Recovery experience was a positive capability that could increase QOL for the nurses, which was consistent with previous research.43 The large number of nurses (N=1068) participating in the study, the high response rate (71.2%), and the fact that Shenyang has a comparable level of health-care services to many urban parts of China, suggest that the results of this study could be applied to other similar populations.

In this study, job burnout contributed most to the variance of both PCS and MCS, accounting for 23.0% and 36.1% of the total variance, respectively. Job burnout had the strongest significant impact on QOL among female nurses, which was consistent with the study of Pulcrano.44 As the stressful occupational group, nurses are more likely to suffer from job burnout and resulted in the reduction of QOL.45 Many studies showed that ongoing exposure to occupational stress can result in job burnout, which can affect physical, psychological and social health.46,47 A large number of studies observed that the effects of burnout syndrome might affect nurses’ mental health, and there were also some evidence verifying that burnout had bad impact on people’s physical health.48,49 Job burnout may lead to helplessness, despair, sleep problems, and exhaustion and ultimately affect physical and mental health, which are highly associated with QOL.50 Analysis of data in this study showed that nurses’ QOL was lower when they reported a higher level of burnout, which is consistent with Suner’s study.48 The higher the job burnout was, the lower the QOL the nurses experienced, which was in agreement with Khamisa’s study that showed nurses had high levels of job burnout and poor general health.51 Therefore, the QOL of female nurses should be strengthened through the direct path of managing job burnout by reducing emotional exhaustion and depersonalization, and increasing personal accomplishment training.

Furthermore, job burnout not only had a direct effect on QOL but also had an indirect effect on QOL through the mediating path of recovery experience. This study indicated that there was a significant positive association between recovery experience and QOL among nurses, which was in agreement with previous studies.31,52 Recovery experience is a positive psychological resource that can alleviate the negative impacts of emotional exhaustion and depersonalization on QOL. It could promote a sense of personal accomplishment and enhance QOL. Present study also showed that job burnout was negatively correlated with capabilities such as recovery experience and a decreased turnover rate, which could promote health and job satisfaction.53 A previous study found that recovery experience was negatively correlated with occupational stress and positively correlated with PCS among nurses.31 Practical strategies for developing recovery experience might help the nurses cope adaptively with job burnout.54 As a way of coping with work-related stress, recovery experiences have been attracting more researchers’ attention. Song and Jeong’s studies suggested that recovery experiences as a vital variable could reduce physicians’ job burnout and improve employees’ psychological well-Being.37,55 Results of this study indicated that recovery experience can alleviate job burnout and improve QOL for the nurses. The nurses with adequate recovery experience were more likely to combat the negative influence of job burnout on QOL and their health might be enhanced. This study implies that recovery experience played a mediating role in the relationship between job burnout and QOL and become a positive resource for female nurses to improve their QOL. This study highlights the need to develop recovery experience capability—for better management of job burnout in order to improve QOL and well-being.

Previous studies have shown that there is a significant negative correlation between job burnout and recovery experience in oncology medical staff.52 High levels of recovery experience might attenuate job burnout, resulting in an improvement in QOL for female nurses. Ta’s study showed that recovery experience had a mediating effect between occupational stress and perceptions of the work experience.56 Therefore, it is strongly suggested that training for recovery experience should be provided to Chinese nurses to fight against job burnout and improve their QOL and well-being. A 1-year longitudinal study revealed that employees with high stable levels of recovery experiences seemed to suffer least from job burnout, and those with experiences of high levels of mastery and control during off-job time had highest work engagement.57 The nurses could refresh themselves after work through relaxing activities such as walking or watching movies to get rid of physical and mental fatigue, consequently, improving their QOL.43 Nurses might also engage in the challenging activities in their leisure time—thereby, recovering from stress, gaining energy and improving their health. Mastery experiences can alleviate job burnout and enhance the MCS of female nurses. Our previous study found that recovery experience could improve nurses’ mental health, such as depressive symptoms.35 Female nurses, choosing specific leisure activities that they prefer, and with a satisfactory sense of control over their lives, might avoid job burnout or recover easier, thus improving their MCS. Interestingly, this study shows that psychological detachment from work can reduce the level of QOL, which is different from previous studies.58 This may be due to the fact that female nurses are very sensitive to job burnout, and they not only suffer from a heavy workload but also are responsible for the care and well-being of patients. It is difficult for them to completely separate themselves from their work physically and mentally when they are off duty.59 Some studies have indicated that being a workaholic could inhibit psychological detachment during off-work time.60 Furthermore, female nurses are able to improve their self-worth and satisfaction at work, which may explain why psychological detachment could reduce QOL in this study.61 Therefore, the results of this study may provide suggestions for recovery experience training among the nurses, which could effectively help manage work-related stress and give useful evidence of intervention on the improvement of QOL for nurses.

Limitations

There are two limitations in this study. On the one hand, this study was a cross-sectional study, thus, causal relationships between research variables were unable to be assessed. Although the hypothesis of this study was based on solid theories and previous research, the results need to be confirmed with a prospective cohort study. On the other hand, this study only included female nurses in hospitals in Liaoning Province. Additionally, it is not clear whether the mediating role of recovery experience on the relationship between job burnout and QOL can be extended to other occupational groups.

Conclusion

Female nurses suffer more from impaired MCS than from PCS. Job burnout can result in a reduction of QOL for female nurses, whereas recovery experience, as a mediating factor, could alleviate the negative impacts of job burnout on QOL. Thus, it suggests that positive capability strategies aiming at enhancing recovery experience and decreasing job burnout should be developed to enhance QOL for the nurses.