Next Article in Journal
Etelcalcetide and Paricalcitol in Chronic Kidney Disease: When the Target Is Inflammation
Previous Article in Journal
Relationship between Depression and Cognitive Inhibition in Men with Heroin or Methamphetamine Use Disorder in First-Time Mandatory Detoxification
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Stress on Quality of Life of Shift Nurses in Tertiary General Hospital: The Mediating Effect of Mindfulness

Department of Nursing, Wonkwang University, Iksan 54538, Republic of Korea
Healthcare 2023, 11(1), 71; https://doi.org/10.3390/healthcare11010071
Submission received: 23 November 2022 / Revised: 19 December 2022 / Accepted: 23 December 2022 / Published: 26 December 2022
(This article belongs to the Section Healthcare Quality and Patient Safety)

Abstract

:
The purpose of this study was to examine the mediating effects of mindfulness on the relationships between stress and quality of life among shift nurses. A descriptive cross-sectional survey design was conducted using purposive sampling of 206 shift nurses in a tertiary general hospital in Korea. Data were analyzed with descriptive statistics, Pearson correlation and multiple regression analysis using SPSS/WIN 26.0 program. There were significant correlations among stress, mindfulness and quality of life. The quality of life had a positive correlation with mindfulness (r = 0.52, p < 0.001) and a negative correlation with stress among nurses. Mindfulness acts as a mediator in explaining relationship between stress and quality of life. This study provide evidence for the role of mindfulness in the relationship between stress and quality of life in shift nurses. Mindfulness appears to be a protective factor against nurses’ stress. If mindfulness-based interventions are developed and applied to improve the quality of life of shift nurses based on this study, it can help reduce their stress and improve the quality of life, which could ultimately improve the quality of nursing care for patients.

1. Introduction

Nurses play a very important factor in affecting patient outcomes and nursing outcomes [1,2]. In the recent nursing field, multi-dimensional and holistic nursing is required, which involves the expansion of the range of nursing recipients and physical, spiritual, mental, and social aspects. However, due to the lack of human and physical resources in the medical field, especially the lack of nursing personnel, the various needs and expectations of nursing subjects are not being met. Rather, nurses’ work intensity and stress are getting higher and higher.
One of the characteristics of nursing is shift work, which causes health problems such as physical and mental illness [3]. In fact, working shift causes work-related stress, burnout, high turnover, and safety accidents, and affects the quality of life [4,5,6,7]. Many countries across the world including Korea are experiencing a nursing shortage and a major factor contributing to the shortage is nurses working shifts. Thus, it is necessary to pay more attention to the physical and mental health of shift nurses.
Stress is often defined as an internal or external challenge, disorder, or stimulus; others perceive stress as a physiological challenge or response [8]. Nurses in Korea have a higher level of stress than ordinary people and professional workers [4]. Stress from working shifts can cause depression as well as various physical symptoms, and result in high rates of absenteeism and turnover caused by illness or injury [9,10,11,12,13]. Quality of life is a subjective state of well-being felt by an individual in the physical, mental, and social domains and is an index that represents an individual’s overall well-being [14]. Quality of life, which is inherent in physical, cultural, and social contexts, is one of the most important aspects of human health [15]. Several studies have found that stress, burnout, and negative emotions felt in daily life are related to nurses’ quality of life and that quality of life directly or indirectly affects work efficiency, quality of nursing care, job satisfaction, and intention to turnover [16,17,18]. In other words, the quality of life of nurses is a factor that affects not only the nursing but also the personal aspect.
Work context including stress inevitably occurs in the nursing work environment and consequently contributes to the quality of life [19]. Quality of life is a predictor of nurses’ turnover intention [20]. Considering the effect of quality of life on nursing work, efforts to improve quality of life are necessary, but many studies have focused on reducing the factors that affect quality of life. However, it is not easy to prevent nurses from being stressed in the increasingly complex clinical field. Therefore, a new approach that can prevent negative effects from nursing work is needed, which will be a more effective way to improve the quality of nursing care.
Mindfulness, a crucial psychological factor, is an emerging concept in positive psychology and refers to increased attention to open and receptive awareness of one’s current experience or reality [21]. By clearly noticing one’s reactions, mindfulness allows individuals to live their lives wisely, getting away from unconscious and habitual reactions, so that individuals can effectively respond to unavoidable negative situations [22]. In the increasingly diverse and complex clinical field, causes of stress and stress levels will increase. In this situation, it is necessary to focus on removing or changing nurses’ stress-inducing factors, while exploring ways to strengthen the individual’s capacity to help overcome stress. Mindfulness can be considered a way for nurses to reduce the negative effects of stress they experience. Previous studies have shown that mindfulness reduces stress and burnout. [23,24]. In addition, systematic reviews of healthcare providers reveal that practitioners who incorporate mindfulness into their personal and professional lives demonstrate an improved sense of well-being and ability to employ self-care strategies [25,26].
This study formulated a conceptual framework for variables as follows based on previous studies to identify the mediating effect of mindfulness in the relationship between nurses’ stress and quality of life. A study of Chinese surgical nurses [16] found that high levels of stress were associated with low quality of life. Chronic stress makes it difficult for nurses to control their emotions. Furthermore, a negative attitude toward work and life, indifference toward the recipient, and loss of emotion lead to burnout [27,28], which negatively affects the quality of life and care [29]. A study of employees at large companies found that mindfulness is a stress-reducing factor [30], and a study of clinical nurses [4] also proved that mindfulness helps reduce stress. Based on the fact that mindfulness influences stress and stress affects the quality of life, a conceptual framework that mindfulness plays as a mediating factor in the relationship between stress and quality of life was established.
The purpose of this study is to identify the correlation between stress, mindfulness, and quality of life and to verify the effect of mindfulness as a parameter to develop a quality of life improvement program for shift nurses. The specific purposes of this study are as follows.
  • Identify the general characteristics, the level of mindfulness, stress, and quality of life of the participants.
  • Identify differences in levels of quality of life according to the general characteristics of the participants.
  • Identify the correlation between mindfulness, stress, and quality of life.
  • Verify the mediating effect of mindfulness in the relationship between stress and quality of life.

2. Materials and Methods

2.1. Design

The descriptive cross-sectional survey design was conducted using purposive sampling of 206 shift nurses in a tertiary general hospital in Korea.

2.2. Participants

The participants of this study were shift nurses working in a tertiary general hospital in Korea. When a significance level of 0.05, a medium effect size of 0.15, a power of 0.95, and 11 predictors were set in the regression analysis using G*power 3.1.9.2 [31], the number of samples required was 178 in total. This study selected a total of 215 people considering the dropout rate and analyzed a total of 206 people, excluding 9 people who gave insufficient responses.

2.3. Measurements

2.3.1. Mindfulness

Mindfulness was measured using the mindfulness scale developed by Park [32]. This scale is composed of 4 sub-factors: present awareness, attention, non-judgmental acceptance, and decentralized attention, with a total of 20 items, 5 items for each factor. Present awareness is the clear and immediate awareness of the experiences taking place in the body and mind in the present moment, and attention measures the extent to which attention is focused and maintained on a current experience or task. Non-judgmental acceptance measures the attitude of accepting and helps embrace experiences as they are without subjective assessment or judgment of one’s inner experiences. Decentralized attention refers to the power of looking at a situation as an observer at a distance without being too preoccupied with how they feel. Each item was measured on a 5-point Likert scale ranging from 1 point for “not at all” to 5 points for “very much so”. All were reverse-scored, with higher scores indicating higher levels of mindfulness. In the tool development stage, Cronbach’s α value was 0.88 in Park [32] and Cronbach’s α value was 0.94 in this study.

2.3.2. Stress

For stress, this study adopted the Korean version of the perceived stress scale (PSS) with a 10-item questionnaire originally developed by Cohen et al. [33] and revised in 1988, which was later translated by Lee Jong-ha et al. [34]. Items 1, 2, 3, 6, 9, and 10 are positively worded items (0 = never, 1 = rarely, 2 = sometimes, 4 = very often), and negatively worded items (Items 4, 5, 7, 8) were reverse scored, which indicates that the higher the score, the greater the perceived stress level. In the study conducted by Lee et al. [34], Cronbach’s α value was 0.82, and in this study, Cronbach’s α value was 0.82.

2.3.3. Quality of Life

As for the quality of life, this study used the Scale for Korean Adults’ Quality of Life (SKAQOL) tool, which was developed by No [35] and later modified and supplemented by Park [36]. The sub-domains of this tool include 28 items in total: self-esteem (5 items), working conditions (7 items), leisure activities (5 items), emotional state (6 items), physical condition and function (2 items), and family and friend relationships (3 items). Each item is on a 5-point Likert scale ranging from 5 points for ‘very much so’ to 1 point for ‘not at all, and negatively worded items were reverse scored. Higher scores mean a higher quality of life. Cronbach’s α value was 0.89 in the study of Park [36], and it was 0.89 in this study.

2.4. Data Analysis

The SPSS/WIN 26.0 program was used to analyze the collected data. General characteristics were calculated as percentage, mean, and standard deviation, and independent t-test, ANOVA, Tukey test, and Pearson correlation coefficient were used to analyze the relationship between general characteristics and mindfulness, stress, and quality of life. To diagnose whether the data of this study are suitable for regression analysis, this study tested the assumptions of regression analysis. The Durbin-Watson statistic ranged between 1.662 and 1.822, the tolerance limit ranges between 0.670 and 1, and the variance inflation factor ranges between 1 and 1.494. These tests confirmed equal variance in the residual plot, verifying the assumptions of independence of the residuals, normal distribution, an equal variance of the dependent variable, and multicollinearity.
This study validated the model according to the mediating effect analysis method of Baron et al. [37]. With mindfulness as a parameter, step 1 confirms whether the independent variable, stress, is statistically significant in the parameter, mindfulness level, and step 2 verified the independent variable, stress, is statistically significant in the dependent variable, quality of life. In the third step, the independent variable, stress, and the parameter, mindfulness, were simultaneously put into the regression equation to verify the effects of stress and mindfulness on the quality of life, respectively. To verify the significance of the mediating effect of mindfulness, the Sobel test was conducted using the standard error between unstandardized coefficients [38].

2.5. Ethical Considerations and Data Collection

This study was conducted after receiving IRB approval (WKIRB-202110-SB-083) from the bioethics review committee of the university of which the research director is part with the aim of carrying out ethical research. Prior to data collection, the purpose and method of the study, anonymity, and confidentiality were explained to the administrator of the institution, and permission was obtained before data collection. Data were collected online using Google Surveys. Subjects provided informed consent to the purpose of research, collection of personal information, and the principle of confidentiality on the first page of the survey and participated voluntarily. In addition, the survey results were automatically processed through a system after the completion of the survey for anonymization. Data were collected from 1 December 2021 to 21 December 2021.

3. Results

3.1. General Characteristics

The average age of the participants was 31.79 ± 7.01 years, 195 (94.7%) were female and 11 (5.3%) were male. As for positions, 192 (93.2%) were staff nurses and 14 (6.8%) were charge nurses. As for departments, 139 (67.5%) work in general wards, 51 (24.8%) in intensive care units, and 16 (7.8%) in emergency rooms and others. The total clinical experience was 103.69 ± 84.21 months, and the period worked at the current department was 39.84 ± 42.07 months. In addition, there was no significant difference in the quality of life of the subjects according to general characteristics (Table 1).

3.2. Level of Mindfulness, Stress, and Quality of Life

The participants’ mindfulness levels were an average of 3.47 ± 0.67 points (out of 5 points), stress levels were an average of 1.92 ± 0.48 points (out of 4 points), and levels of quality of life were an average of 2.85 ± 0.46 points (out of 5 points) (Table 2).

3.3. Correlation between Mindfulness, Stress, and Quality of Life

Table 3 shows the results of the correlation analysis among mindfulness, stress, and quality of life. The subjects’ quality of life had a positive correlation with mindfulness (r = 0.52, p < 0.001) and a negative correlation with stress (r = −0.64, p < 0.001). In other words, the higher the mindfulness, the higher the quality of life, and the higher the stress, the lower the quality of life.

3.4. Mediating Effects of Mindfulness between Stress and Quality of Life

According to the procedure suggested by Baron et al. [37], the model was analyzed to verify the mediating effect of mindfulness on the relationship between stress and quality of life. In step 1, the independent variable, stress, had a significant negative correlation with the parameter, mindfulness (β = −0.58, p < 0.001). In step 2, the independent variable, stress, showed a significant negative correlation with the dependent variable, quality of life (β = −0.64, p < 0.001), and in the last step, both the independent variable, stress, and the parameter, mindfulness, were put into the regression model. Mindfulness, the parameter, was found to have a significant effect on the quality of life (β = 0.23, p < 0.001), and stress, an independent variable, also had a significant effect on the quality of life. Its influence was higher than that of the second step (β = −0.64→β = −0.51). In other words, mindfulness had a partial mediating effect on the relationship between stress and quality of life. The explanatory power that stress has over quality of life was 40.6% (F = 141.18), and the explanatory power that stress and mindfulness have over the quality of life increased to 43.9% (F = 81.11), indicating that mindfulness influences quality of life. (Table 4, Figure 1). To verify the significance of these mediating effects, the Sobel test was conducted. If the Z value is larger or smaller than 1.96, the mediating effect can be considered significant. In this study, the Z value was −3.48 (p = 0.001), proving that there is a partial mediating effect of mindfulness in the relationship between stress and quality of life.

4. Discussion

This descriptive survey study aims to identify the correlation between stress, mindfulness, and quality of life and to verify the mediating effect of mindfulness.
The quality of life of the subjects was 2.85 out of 5 points. Compared to the average quality of life score of Korean tertiary general hospital nurses of 3.32 points [39] and that of Korean general hospital nurses of 3.27 points [40], the average score of the subjects is lower. It is also lower than the average score of Mexican nurses of 3.50 [41], which was originally 207.31 out of a total of 269 and converted into a 5-point scale. The participants in this study are shift nurses working at a tertiary general hospital, which aims to efficiently utilize medical resources by providing high-quality medical services for patients with severe diseases and establishing a medical delivery system [42]. Therefore, it is safe to assume that the amount and intensity of work of the subjects could be greater than that of nurses working in general hospitals. In addition, since the data were collected in December 2021 when the COVID-19 pandemic reached its peak, fatigue, burnout, and anxiety of the nurses caused by the infectious disease have accumulated for the last two years, resulting in a decrease in the quality of life. In this study, among the sub-domains of quality of life, physical condition and function scored the lowest with 2.42 points, which can be seen as reflecting the circumstances. Therefore, it is necessary to prepare a plan to strengthen the capacity of nurses to overcome any negative situation.
The average stress score of the subjects was 1.92 out of 4 points, which is higher than that of Korean general hospital nurses at 1.06 points [4], which was originally 41.45 (out of 156 points) and converted into a 4-point scale. Additionally, it is similar to the stress score of the Chinese tertiary general hospital nurses of 1.94 [43], which was 27.12 points (out of 56 points) and later converted into a 4-point scale. The study by Xie et al. [43] has a similar background as this study, targeting nurses working at tertiary general hospitals and carrying out data collection during the pandemic. This shows that nurses’ stress is affected by their work.
The average score for mindfulness of the subjects was 3.47 out of 5 points, which is similar to that of university hospital nurses at 3.50 [44], but lower than that of workers in large corporations at 4.01 [30]. Working shift is a factor causing burnout, work stress, and somatic symptoms in nurses [45]. The difference between this study and previous studies can be attributed to the fact that hospital nurses who work shifts have relatively little room for mindfulness compared to other full-time workers who do not. Mindfulness is an important mechanism to help an individual calmly accept when things get difficult and embrace unpleasant experiences. Thus, improving mindfulness helps develop the individual’s adaptive coping strategy, protect an individual from negative situations, and adapt to change [46]. Mindfulness enables shift nurses to effectively cope with various clinical situations and can be an effective intervention to promote mental health.
This study showed both stress and mindfulness have an effect on the quality of life, and mindfulness has a partial mediating effect in the relationship between stress and quality of life. This result confirms that stress not only directly affects the quality of life but also indirectly affects it through mindfulness. Therefore, the intervention of mindfulness is necessary as a strategy to relieve stress to improve quality of life. Mindfulness has a significant mediating effect on the relationship between various variables, such as the relationship between self-esteem and burnout in clinical nurses [44], the relationship between emotional intelligence and stress in clinical nurses [4], and the relationship between stress and quality of life in cancer patients [24]. These findings suggest that mindfulness helps to strengthen positive variables and alleviate negative variables.
The study systematically examined nurses’ mindfulness and confirmed that mindfulness-based interventions had significant effects on emotional problems such as depression and anxiety and also confirmed that it benefits individual well-being and improves work performance (better communication with colleagues and patients, higher sensitivity to patients’ experiences, clearer analysis of complex situations, and emotional regulation in stressful contexts) [47]. Currently, studies are being conducted to explore the effectiveness of applying various intervention programs based on mindfulness in clinical settings, but there is a limited amount in Korea. However, in other countries, mindfulness-based intervention programs are being applied to improve various factors such as empathy fatigue, exhaustion, work errors in nursing, mental pain, and empathy as well as stress [48]. Evidence suggests that mindfulness is supportive of a variety of clinical populations, including but not limited to, the improvement of chronic and cancer-related pain, sleep disorders, eating disorders, psoriasis, and a variety of psychological disorders [49]. Nursing administrators in hospitals should identify the stress factors of shift nurses and try to improve the negative effects of these on nursing. They can use mindfulness-based interventions in supportive policies with the aim of reducing stress and improving quality of life of shift nurses. These policy strategies will ultimately improve the quality of nursing.
Since this study has a limitation in that it did not examine the causal relationship between variables through a cross-sectional study, future studies with longitudinal design and mindfulness-based interventions will be needed. In addition, since the participants in this study were nurses working shift at a tertiary general hospital, repeated research design targeting health professionals in various clinical settings are needed to generalize the results of the study.

5. Conclusions

The study findings showed the stress levels of shift nurses are high, and the levels of mindfulness and quality of life are low. It also verified the higher the mindfulness of the subject, the higher the quality of life, and the higher the stress, the lower the quality of life. In addition, both stress and mindfulness were found to affect the quality of life, and mindfulness was found to have a partial mediating effect in the relationship between stress and quality of life. Reflecting on the trends of the times that value personal well-being, the quality of life is an important factor in choosing a job. Therefore, the quality of life of nurses also affects nursing outcomes such as turnover and retention. If mindfulness-based interventions are developed and applied to improve the quality of life of shift nurses based on this study, it can help reduce their stress and improve the quality of life, which could ultimately improve the quality of nursing care for patients.

Funding

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2021R1I1A304773312).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of WonKwang University (WKIRB-202110-SB-083).

Informed Consent Statement

Informed consent was obtained from all participants involved in the study. Written informed consent was obtained from the participants to publish this paper.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to participants’ privacy.

Acknowledgments

The author appreciate all of the responses from participants in our study.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Needleman, J.; Liu, J.; Shang, J.; Larson, E.L.; Stone, P.W. Association of registered nurse and nursing support staffing with inpatient hospital mortality. BMJ Qual. Saf. 2020, 29, 10–18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Twigg, D.E.; Whitehead, L.; Doleman, G.; El-Zaemey, S. The impact of nurse staffing methodologies on nurse and patient outcomes: A systematic review. J. Adv. Nurs. 2021, 77, 4599–4611. [Google Scholar] [CrossRef] [PubMed]
  3. Peplonska, B.; Bukowska, A.; Sobala, W. Association of rotating night shift work with BMI and abdominal obesity among nurses and midwives. PLoS ONE 2015, 10, e0133761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Oh, H.S.; Koh, C.K. The mediating effect of mindfulness in the relationship between emotional intelligence and stress among clinical nurses. Korean J. Stress Res. 2014, 22, 139–147. [Google Scholar] [CrossRef] [Green Version]
  5. Giorgi, F.; Mattei, A.; Notarnicola, I.; Petrucci, C.; Lancia, L. Can sleep quality and burnout affect the job performance of shift-work nurses?A hospital cross-sectional study. J. Adv. Nurs. 2017, 74, 698–708. [Google Scholar] [CrossRef]
  6. Kim, J.M.; Vasuki, R. The relationship between sleep disorders, job satisfaction, practicing health promoting behavior, quality of life and turnover intention of shift nurses and non-shift nurses. Inter. J. Adv. Smart Converg. 2019, 8, 58–67. [Google Scholar] [CrossRef]
  7. Garcia, C.D.L.; Abreu, L.C.D.; Ramos, J.L.S.; Castro, C.F.D.D.; Smiderle, F.R.N.; Santos, J.A.D.; Bezerra, I.M.P. Influence of burnout on patient safety: Systematic review and meta-analysis. Medicina 2019, 55, 553. [Google Scholar] [CrossRef] [Green Version]
  8. Antoni, M.H.; Dhabhar, F.S. The impact of psychosocial stress and stress management on immune responses in patients with cancer. Cancer 2019, 125, 1417–1431. [Google Scholar] [CrossRef]
  9. Park, J.K.; Jang, S.H.; Kim, D.S.; Hur, K.H.; Lee, H.Y.; Choi, E.Y.; Cho, J.H.; Woo, H.S. Musculoskeletal disorders and job stress risk factors in general hospital nurses: Nursing tasks and musculoskeletal disorder symptoms. J Ergon. Soc. Korea 2010, 10, 9–86. [Google Scholar]
  10. Lee, W.H.; Kim, C.J. The relationship between depression, perceived stress, fatigue and anger in clinical nurses. J. Korean Acad. Nurs. 2006, 36, 925–932. [Google Scholar] [CrossRef] [Green Version]
  11. Ratner, P.A.; Sawatzky, R. Health status, preventive behaviour and risk factors among female nurses. Health Rep. 2009, 20, 53–61. [Google Scholar]
  12. Wu, H.; Chi, T.S.; Chen, L. Occupational stress among hospital nurses: Cross-sectional survey. J. Adv. Nurs. 2010, 66, 627–634. [Google Scholar] [CrossRef]
  13. King, K.A.; Vidourek, R.; Schwiebert, M. Disordered eating and job stress among nurses. J. Nurs. Manag. 2009, 17, 861–869. [Google Scholar] [CrossRef]
  14. Cooley, D.A. Minimally invasive valve versus the conventional approach. Ann. Thorac. Surg. 1998, 66, 1101–1105. [Google Scholar] [CrossRef]
  15. Naz, S.; Hashmi, A.M.; Asif, A. Burnout and quality of life in nurses of a tertiary care hospital in Pakistan. J. Pak. Med. Assoc. 2016, 66, 532–536. [Google Scholar]
  16. Li, X.; Jiang, T.; Sun, J.; Shi, L.; Lie, J. The relationship between occupational stress, job burnout and quality of life among surgical nurses in Xinjiang, China. BMC Nurs. 2021, 20, 181. [Google Scholar] [CrossRef]
  17. Wan, Y.K.P.; Chan, S.H.J. Casino employees’perceptions of their quality of work life. Int. J. Hosp. Manag. 2013, 34, 348–358. [Google Scholar] [CrossRef]
  18. Wagenaar, A.F.; Kompier, M.A.J.; Houtman, I.L.D.; van den Bossche, S.; Smulders, P.; Taris, T.W. Can labour contract differences in health and work-related attitudes be explained by quality of working life and job insecurity? Int. Arch. Occup. Environ. Health 2012, 85, 763–773. [Google Scholar] [CrossRef] [Green Version]
  19. Perry, L.; Xu, X.; Duffield, C.; Gallagher, R.; Nicholls, R.; Sibbritt, D. Health, workforce characteristics, quality of life and intention to leave: The ‘Fit for the Future’ survey of Australian nurses and midwives. J. Adv. Nurs. 2017, 73, 2745–2756. [Google Scholar] [CrossRef]
  20. Albougami, A.S.; Almazan, J.U.; Cruz, J.P.; Alquwez, N.; Alamri, M.S.; Adolfo, C.A.; Roque, M.Y. Factors affecting nurses’ intention to leave their current jobs in Saudi Arabia. Int. J. Health Sci. 2020, 14, 33–40. [Google Scholar]
  21. Brown, K.W.; Ryan, R.M. The benefits of being present: Mindfulness and its role in psychological well-being. J. Personal. Soc. Psychol. 2003, 84, 822–848. [Google Scholar] [CrossRef] [Green Version]
  22. Kabat-Zinn, J. Full Catastrophe Living: Using the Wisdom of Your Body and Mind to Face Stress, Pain and Illness; Delacorte: New York, NY, USA, 1990. [Google Scholar]
  23. Bae, H.J.; Eun, Y. Effects of Mindfulness-Based Stress Reduction Program for small and Medium Sized Hospital Nurses. Korean J. Stress Res. 2019, 27, 455–463. [Google Scholar] [CrossRef] [Green Version]
  24. Dehghan, M.; Jazinizade, M.; Malakoutikhah, A.; Madadimahani, A.; Iranmanesh, M.H.; Oghabian, S.; Mohammadshahi, F.; Janfaza, F.; Zakeri, M.A. Stress and quality of life of patients with cancer: The mediating role of mindfulness. J. Oncol. 2020, 2020, 3289521. [Google Scholar] [CrossRef] [PubMed]
  25. Irving, J.A.; Dobkin, P.L.; Park, J. Cultivating mindfulness in health care professionals: A review of empirical studies of mindfulness-based stress reduction (MBSR). Complement. Ther. Clin. Pract. 2009, 15, 61–66. [Google Scholar] [CrossRef] [PubMed]
  26. Escuriex, B.; Labbe, E. Health care providers’ mindfulness and treatment outcomes: A critical review of the research literature. Mindfulness 2011, 2, 242–253. [Google Scholar] [CrossRef]
  27. Lee, J.H.; Song, Y.S. Predictive factors of turnover intention among intensive care unit nurses. J. Korean Clin. Nurs. Res. 2018, 24, 347–355. [Google Scholar] [CrossRef]
  28. Wang, S.; Liu, Y.; Wang, L. Nurse burnout: Personal and environmental factors as predictors. Inter. J. Nurs. Pract. 2015, 21, 78–86. [Google Scholar] [CrossRef]
  29. Go, Y.H.; Lee, M.H. Effect of Resilience and Positive psychological Capital on the Professional Quality of Life in Hospital Nurses. J. Korea Converg. Soc. 2021, 12, 551–562. [Google Scholar] [CrossRef]
  30. Bea, H.J.; Kim, H.J.; Lee, J.S. Relationships between self-esteem, emotional intelligence, and mindfulness of employees in large corporations. Korean J. Occup. Health Nurs. 2020, 29, 325–332. [Google Scholar] [CrossRef]
  31. Faul, F.; Erdfelder, E.; Buchner, A.; Lang, A.G. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods 2009, 41, 1149–1160. [Google Scholar] [CrossRef] [Green Version]
  32. Park, S.H. Development of the Mindfulness Scale. Ph.D. Thesis, The Catholic University, Seoul, Republic of Korea, 2006. [Google Scholar]
  33. Cohen, S.; Kamarck, T.; Mermelstein, R. A global measure of perceived stress. J. Health Soc. Behav. 1983, 24, 385–396. [Google Scholar] [CrossRef]
  34. Lee, J.H.; Chin, C.M.; Ko, Y.H.; Lim, J.H.; Joe, S.H.; Kim, S.H.; Jung, I.K.; Han, C.S. The reliability and validity studies of the Korean version of the perceived stress scale. Korean J. Psychosom. Med. 2012, 20, 127–134. [Google Scholar]
  35. No, Y.J. A Study on the Quality of Life of Middle-Aged Adults in Seoul. Ph.D. Thesis, Yonsei University, Seoul, Republic of Korea, 1998. [Google Scholar]
  36. Park, Y.M. Interrelation of Living Habits and Living Quality of Shift Nurses. Master’s Thesis, Kyonggi University, Seoul, Republic of Korea, 2005. [Google Scholar]
  37. Baron, G.J.; Kenny, D.A. The Moderator-Mediation Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. J. Pers. Soc. Psychol. 1986, 51, 1173–1182. [Google Scholar] [CrossRef]
  38. Sobel, M.E. Asymptotic Confidence Intervals for Indirected Effects in Structural Equation Models. In S. Leinhart. Sociological Methodology; Jessey-Bass: Sanfrancisco, CA, USA, 1982; pp. 290–312. [Google Scholar]
  39. Ha, Y.M.; Ha, E.H.; Kim, J.H.; Kim, H.J. A comparative study on the nurses job satisfaction and quality of life in integrated nursing care service and general wards in a tertiary hospital. J Converg. Inf. Technol. 2022, 12, 56–66. [Google Scholar] [CrossRef]
  40. Lee, M.J. Mediating effect of resilience in the relation between fatigue for infection control and quality of life in nurses. J. Korea Acad.-Ind. Coop. Soc. 2021, 22, 108–116. [Google Scholar] [CrossRef]
  41. Zavala, M.O.Q.; Klinj, T.P.; Carrillo, K.L.S. Quality of life in the workplace for nursing staff at public healthcare institutions. Rev Lat Am Enfermagem. 2016, 24, e2713. [Google Scholar] [CrossRef] [Green Version]
  42. Kil, K.H.; Chung, S.H.; Oh, S.K.; Kim, K.S. A Study on Effects of Work Life Balance Program on Happiness, Stress, Leisure Satisfaction and Organizational Commitment for Tertiary Hospital Employees. J. Corp. Educ. Talent Res. 2019, 21, 85–116. [Google Scholar] [CrossRef]
  43. Xie, J.; Li, J.; Zhang, C.; Zhou, Y.; Luo, X.; Liu, M.; Wang, S.; Ding, S.; Li, L.; Cheng, A.S. Factors Associated With Circadian Rhythm, Job Burnout, And Perceived Stress Among Nurses In Chinese Tertiary Hospitals: A cross-Sectional Study. PREPRINT (Version 1). Available online: https://europepmc.org/article/ppr/ppr398173 (accessed on 22 September 2021). [CrossRef]
  44. Bae, H.J.; Chang, H.K.; Eun, Y. The Mediating Effect of Mindfulness in the Relationship between Self-Esteem and Burnout among Clinical Nurses. Korean J. Stress Res. 2018, 26, 243–249. [Google Scholar] [CrossRef] [Green Version]
  45. Oh, Y.J.; Choi, Y.H. Effects of emotional labor, job stress and burnout on somatization in nurses: In convergence era. J. Digit Converg. 2015, 13, 415–424. [Google Scholar] [CrossRef] [Green Version]
  46. Shapiro, S.L.; Carlson, L.E.; Astin, J.A.; Freeman, B. Mechanisms of mindfulness. J. Clin. Psychol. 2015, 62, 373–386. [Google Scholar] [CrossRef] [Green Version]
  47. Guillaummie, L.; Boiral, O.; Champagne, J. A mixed-methods systematic review of the effects of mindfulness on nurses. J. Adv. Nurs. 2016, 73, 1017–1034. [Google Scholar] [CrossRef] [PubMed]
  48. Lee, M.H.; Jang, K.S. Effects of mindfulness-based programs for nurses: A literature review of international nursing journals. Nurs. Health Issues 2019, 24, 146–155. [Google Scholar] [CrossRef]
  49. Cohen-Katz, J.; Wiley, S.D.; Capuano, T.; Baker, D.M.; Shapiro, S. The effects of mindfulness-based stress reduction on nurse stress and burnout: A quantitative and qualitative study. Part of a series. Holist. Nurs. Pract. 2004, 18, 302–308. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Mediating effect of mindfulness in the relationship between stress and quality of life. * QOL: Quality of life.
Figure 1. Mediating effect of mindfulness in the relationship between stress and quality of life. * QOL: Quality of life.
Healthcare 11 00071 g001
Table 1. General characteristics (N = 206).
Table 1. General characteristics (N = 206).
CharactersCategoriesn(%)Mean ± SDt or Fp
GenderFemale195(94.7)2.84 ± 0.451.290.200
Male11(5.3)3.03 ± 0.65
Marital stateSingle 131(63.6)2.83 ± 2.83−0.940.346
Married75(36.4)2.89 ± 2.89
EducationAssociate degree 26(12.6)2.86 ± 0.420.960.384
Bachelor’s degree157(76.2)2.83 ± 0.44
≥Master’s degree23(11.2)2.98 ± 0.58
Monthly income (USD)Less than 250045(21.8)2.83 ± 0.421.230.300
2500-less than 330074(35.9)2.82 ± 0.47
3300-less than 410018(8.7)2.80 ± 0.54
4100-less than 500015(7.3)2.96 ± 0.52
Over 500054(26.2)2.93 ± 0.42
PositionStaff nurse192(93.2)2.85 ± 0.47−0.050.958
Charge nurse14(6.8)2.86 ± 0.35
DepartmentGeneral ward139(67.5)2.84 ± 0.470.830.439
Intensive Care Unit51(24.8)2.92 ± 0.44
Emergency Room, others16(7.8)2.79 ± 0.42
Age(year) 31.79 ± 7.01
Total period of clinical experience (Month)103.69 ± 84.21
Total period of current department experience (Month)39.84 ± 42.07
Table 2. Level of mindfulness, stress, and quality of life (N = 206).
Table 2. Level of mindfulness, stress, and quality of life (N = 206).
VariablesMinMaxMeanSD
Mindfulness1.555.003.470.67
Attention1.805.003.450.71
Decentralized attention1.005.003.140.87
Non-judgmental acceptance1.405.003.650.78
Awareness of present time1.605.003.640.74
Stress0.203.701.920.48
Quality of life1.644.042.850.46
Self-esteem2.205.003.450.58
Family and friend relationships1.335.003.280.61
Leisure activities1.004.602.780.72
Emotional state1.004.502.820.68
Physical condition and function1.004.002.420.65
Working conditions1.144.142.450.63
Table 3. Correlation among mindfulness, stress, and quality of life (N = 206).
Table 3. Correlation among mindfulness, stress, and quality of life (N = 206).
VariablesMindfulnessStress
R (p)
Quality of life0.52 (<0.001)−0.64 (<0.001)
Mindfulness1−0.58 (<0.001)
Table 4. Mediating effect of mindfulness (N = 206).
Table 4. Mediating effect of mindfulness (N = 206).
StepDirectionBSEβ tpAdj. R2Fp
Step1Stress→Mindfulness−0.810.08−0.58−10.03<0.0010.327100.684<0.001
Step2Stress→QOL−0.610.05−0.64−11.88<0.0010.406141.18<0.001
Step3Stress→QOL−0.490.06−0.51−7.94<0.0010.43981.11<0.001
Mindfulness→QOL0.160.040.233.58<0.001
Sobel test Z = −3.48, p = 0.001
QOL: Quality of life.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Hwang, E. Effect of Stress on Quality of Life of Shift Nurses in Tertiary General Hospital: The Mediating Effect of Mindfulness. Healthcare 2023, 11, 71. https://doi.org/10.3390/healthcare11010071

AMA Style

Hwang E. Effect of Stress on Quality of Life of Shift Nurses in Tertiary General Hospital: The Mediating Effect of Mindfulness. Healthcare. 2023; 11(1):71. https://doi.org/10.3390/healthcare11010071

Chicago/Turabian Style

Hwang, Eunhee. 2023. "Effect of Stress on Quality of Life of Shift Nurses in Tertiary General Hospital: The Mediating Effect of Mindfulness" Healthcare 11, no. 1: 71. https://doi.org/10.3390/healthcare11010071

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop