Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
  • Users Online: 970
  • Home
  • Print this page
  • Email this page


 
   Table of Contents      
ORIGINAL ARTICLE
Year : 2022  |  Volume : 27  |  Issue : 5  |  Page : 420-424

Analysis the effect of job strain on nurses' quality of work-life: A mediating and moderating model


Department of Management, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Date of Submission01-Sep-2020
Date of Decision12-Oct-2020
Date of Acceptance02-Jan-2022
Date of Web Publication14-Sep-2022

Correspondence Address:
Sara Mohammadi
Department of Management, Shahid Chamran University of Ahvaz, Ahvaz
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijnmr.IJNMR_237_20

Rights and Permissions
  Abstract 


Background: One of the most important issues in all organizations is to improve performance of human resources to achieve goals. Therefore, it is necessary plans and solutions to reduce Job Strain (JS) and then increase Organizational Citizenship Behaviors (OCB), and Quality of Work-Life (QWL). The purpose of this study is to investigate the effect of JS on QWL with mediating role of OCB and moderator of employment status. Materials and Methods: This cross-sectional study was conducted on 300 nurses who were non-randomly voluntary selected among nurses working in seven educational hospitals in Ahvaz, Iran. Data were collected using demographic and occupational characteristics questionnaire and JS questionnaire with 12 items, OCB with 16 items & QWL with 26 items in the 5-point Likert scale. Data analysis was performed in SPSS22 using descriptive and inferential statistics, and structural equation modeling with SmartPLS3. Results: The results indicated the mean (SD) score of 49.56 (6.68) for JS (more than normal) and 58.84 (5.94) and 49.88 (7.69) for QWL and OCB, respectively. Spearman correlation coefficients show that JS has a negative relationship with QWL (r = -0.69, p < 0.001) and OCB (r = -0.54, p = 0.008). Also, nurses' employment status (Formal and Contractual) moderates the relationship between JS, QWL, and OCB. Conclusions: According to the results, job stress in nurses of Ahvaz hospitals was high and QWL was moderate (or less). Therefore, increased job stress leads to reduced QWL and OCBs of nurses. Also the employment Status and job security that it provides can modify this impact.

Keywords: Iran, nurses, occupational stress, quality of life


How to cite this article:
Mohammadi S, Bavarsad B, Hendighomashi A. Analysis the effect of job strain on nurses' quality of work-life: A mediating and moderating model. Iranian J Nursing Midwifery Res 2022;27:420-4

How to cite this URL:
Mohammadi S, Bavarsad B, Hendighomashi A. Analysis the effect of job strain on nurses' quality of work-life: A mediating and moderating model. Iranian J Nursing Midwifery Res [serial online] 2022 [cited 2022 Oct 1];27:420-4. Available from: https://www.ijnmrjournal.net/text.asp?2022/27/5/420/356034




  Introduction Top


Nurses are among the main members of health care groups that play an important role in the development of care, treatment, improvement, and promotion of patients' health.[1],[2] Nurses have a supportive role for patients with pain, disability, and even death.[1] Nursing is a compassionate profession that includes help, compassion and universal values.[3] This passionate approach to helping more patients when stress in the workplace is unmanageable, can lead to uncontrolled and chronic emotional stress at work.[2],[3] Stress is a mental-physical condition that is caused by mental and Physical tension.[4] One of the major problems for nurses is job stress, which leads to burnout and, consequently negative effects on patient care, nurses' physical and mental health, and high personnel and medicine costs.[5],[6],[7] High stress is a common and costly problem that can reduce the quality of care for nurses and increase the tendency to leave the job,[8],[9] and reduce the QWL of nurses. Quality of work-life is a key factor in attracting committed, competent and motivated people to the healthcare sector.[10] The quality of life, as defined by the World Health Organization (WHO), means an individual's perception of his or her position in terms of the cultural system and values in which he or she lives.[11] Quality of life is a concept that comprises satisfaction and perception in relation to work life. This is how one feels about one's work as a helper.[3] Nurses as the major group of health care providers, must have a satisfactory quality of work life in order to provide optimal patient care.[12] Low quality of life of nurses negatively affects their professional satisfaction and performance.[13] In this regard, efforts to reduce stress and increase the physical and mental health of nurses by improving the quality of work-life is very important.[14]

In addition to QWL, another consequence of job stress is a reduction in nurses' citizenship behavior.[14] OCB is conscious and voluntary behavior that the reward system cannot organize and recognize directly or implicitly, and although not mandatory, they improve organizational performance.[15] Some of the OCBs are; altruism, politeness, respect, kindness and love, empathy, forgiveness, and sacrifice, active and timely presence, organizational obedience, participation, commitment, organizational support, loyalty, collaboration, cooperation, etc.[14],[16]

The results of studies have shown that there is a significant positive relationship between QWL and OCB, and negative relationship between JS with OCB and QWL.[17],[18],[19] Also, the results of a similar studies among nurses,[20] and social workers in schools in the province of Cairo, Egypt[21] showed a significant negative relationship between Occupational Stress and QWL. Also, the results indicated that the stress of middle school students would give rise to the appearance of their psychologically hazardous behaviors. Improve the level of safety can effectively mitigate the stress of students to reduce the appearance of unsecured behaviors.[22] In addition, the results of studies have shown that these relationships has been moderated by participants' gender, tenure, income, employment status, and religion.[17],[23],[24] Although some researches have been focused on job stress and its relationship with organizational commitment, job performance and quality of life in various jobs in Iran, no study has been conducted on the effect of nurses' job stress on their QWL and OCB, so it is necessary to conduct such studies. The aim of this study was to investigate job stress and its effect on QWL & OCB in nurses in Ahvaz, Iran.


  Materials and Methods Top


According to the model of research onion,[25] this cross-sectional study was conducted on nurses of Ahvaz educational hospitals affiliated with Ahvaz Jondishapur University of Medical Sciences in 2018 (From September to December). The initial sample size was calculated as 384 nurses using a formula (�� = 0.05, ϭx = 0.5, ɛ = 0.05) and finally 300 nurses voluntarily cooperated and participated in the study by non-random convenience sampling. (70.00% return rate). The research setting included the hospitals of Golestan, Imam Khomeini, Razi, Sina, Shafa, Taleghani & Abuzar in Ahvaz, the selected hospitals are covered by Jondishapur University of Medical Sciences and are all public.

Data collection tools consisted of two sections; the first section was an 8-item questionnaire of demographic characteristics and employment status of the nurses, and the second section encompassed three questionnaire of job stress, QWL and OCB in nurses. The data on Job Stress were collected using the standardized 12-Item HSE questionnaire (1990),[26] for OCB, standardized 16-Item Lee and Allen's questionnaire (2002)[15] and standardized 26-Item Walton's questionnaire (1973) have been used to measure QWL.[27] The items are scored on a 5-point Likert scale ranging from 1 (very low) to 5 (very much) based on one's own opinions and feelings. For example, scores of 30 and below, 31–40, and 41 and above represent low, intermediate, and high job stress, respectively, and scores of 56 and below, 57–85, and 86 and above represent low, intermediate, and high QWL, and OCB scores range between 16 and 80. To confirm the content validity, the questionnaires were reviewed and approved by 7 behavioral & healthcare management specialists from the faculty members of Shahid Chamran University of Ahvaz and Ahvaz Jondishapur University of Medical Sciences. To measure the reliability of the questionnaires, we calculated Cronbach's alpha for JS, QWL and OCB variables, which were 0.79, 0.91 and 0.88, respectively.

The questionnaires were distributed directly among the nurses after explaining the objectives of the research and the nature of the study and obtaining informed consent. Nurses were asked to complete and return questionnaires. Questionnaires were collected during the month of September to December 2018 and nurses who did not want to participate in the study or submitted incomplete questionnaires were excluded from the study. Data analysis was performed in SPSS software version 22 (IBM Corporation, USA) using the descriptive statistics (Mean, SD) and Spearman correlation coefficient and SmartPLS software (version 3, Hamburg), using the structural equation modeling to test the effect of job stress on QWL & OCB with moderating role of nurses' employment status. In addition, nonparametric tests were used to assess the correlation between variables, because the Kolmogorov–Smirnov test indicated an abnormal distribution of variables' scores. In all statistical analyzes, p value of 0.05 or less was considered significant.

Ethical considerations

This study was derived from the master's thesis approved by the Vice-Chancellor for Research of Shahid Chamran University of Ahvaz, Ahvaz, Iran. The research was explained to the participants and voluntary informed consent was obtained from the participants in this study.


  Results Top


Among the nurses, 80.67% were women, 41.00% were 41-50 years old, and 48.33% of the nurses had a bachelor's degree. In addition, 65.67% were formal nurses, and 43.67% had more than 15 years of experience [Table 1]. According to the findings, the mean (SD) JS score of 300 nurses was 49.56 (6.68), with the scores varying within the range of 12–60. Also, the mean (SD) QWL & OCB scores was 58.84 (5.94) & 49.88 (7.69). The results show that the level of job stress of nurses in hospitals of Ahvaz is more than normal, and their QWL their QWL is relatively low. Spearman correlation coefficient showed that there was a meaningful relationship between JS, QWL, OCB & Employment Status (p < 0.001). Job stress had a negative significant correlation with QWL (r = –0.65) and OCB (r = –0.54). QWL had a significant positive correlation with OCB (r = 0.46). The results also showed that job stress in contractual nurses was more than formal nurses and their QWL was lower [Table 2]. After confirming the correlation, causal relationships of variables can be measured by modeling structural equation methods.
Table 1: Frequency of demographic of nurses

Click here to view
Table 2: Descriptive statistics and correlation analysis of variable

Click here to view


The model fitness

In order to fit of measurement model, were used three indicators; reliability (Composite Reliability and Cronbach's alpha), Convergent Validity (AVE), and Divergent Validity. According to AVE (Average Variance Extracted) values (more than 0.50), and composite reliability and Cronbach's alpha values (more than 0.70), the model fit was confirmed. Fornell-Larcker (1981) test was also used for divergent validity. The Fornell-Larcker factor shows that the load of each factor for each construct on the main diameter (Square AVE) is greater than the load of that factor for other structures.[28] Thus, according to the results of [Table 3], the divergent validity of the model was confirmed [Table 3].
Table 3: Convergent/Divergent validity and reliability & model fit Index

Click here to view


Also, to evaluate the fitting of the structural model (path analysis), have been used coefficients R2 and Q2. Q2 Index is divided into two indices of commonality and redundancy. The overall fit of the model is illustrated by the positive Goodness Of Fit (GOF) Index. According to the positive Index of commonality and redundancy, and value of 0.48 for GOF, the suitable fit of the model was supported. The three values of 0.01, 0.25, and 0.36, have been presented as weak, moderate, and strong values for GOF.[28],[29] The coefficient R2 expresses the effect of the dependent variable on the independent variable. The values of 0.18, 0.33, and 0.67 in the PLS path models for R2 are described as weak, moderate, and significant respectively.[29]

The results of Path analysis

Path coefficient criteria have been used to calculate the effect of dependent variables on independent variables. The results showed according to the path coefficients of -0.69 and -0.58 (p-value <0.001), JS has negative effect on QWL & OCB; This means that as nurses' job stress increases, their QWL and OCB decreases, and vice versa. Also, according the path coefficient of 0.51 (p-value <0.001), OCB has a positive and significant effect on QWL of nurses [Table 4].
Table 4: Summary of results of research

Click here to view


In addition, the Sobel test was used to investigate the effect of the mediating role of OCB.[29] The results of this test showed that the mediating role of OCB is significant. Furthermore, the results showed that the negative effect of JS on OCB and QWL was significantly different between the two groups of nurses (Formal & Contractual). For this purpose, it is necessary to create a K subgroup, calculate the correlation coefficient between independent and dependent variables (X, Y) based on the subgroups and test the results. If the null hypothesis is rejected, the effect of the moderating variable is confirmed.[29] According to Fisher's z test, the beta value was not equal in both groups (formal & contractual nurses) and the difference in the impact factor was significant (p-value <0.001). This means that the effect of JS on QWL and OCB is stronger in formal nurses than contractual nurses. Thus, nurses' employment status moderates the effects on the relationship between JS and QWL & OCB. The results of structural equation modeling are shown in [Table 4].


  Discussion Top


The aim of this study was to determine the level of job stress and its effect on QWL & OCB in nurses working in Ahvaz hospitals. According to the obtained results, nurses had high job stress and low QWL, which are consistent with previous studies in this field.[9],[12] For example, Shariatkhah et al.[9] reported high level of job stress, and Eslamian et al.[12] reported low levels of QWL among 47.6% of nurses. Similar results have been presented by Sedaghati et al.[8]

According to the results of this study, JS has a significant negative effect on QWL and OCB, i.e., with increasing job stress of nurses, their QWL and OCB decreases, and vice versa. This means that if nurses have a lot of stress and job strain, OCBs will not appear such as; loyalty, politeness, kindness, decency, helping others, etc. Also, unfavorable environmental conditions, high workload will increase job stress and thus reduce QWL; the results showed that OCB has a positive and significant effect on QWL. It also showed that JS not only has a direct negative effect on QWL of nurses, but also indirectly (through OCB as a mediator), has a significant negative effect on QWL; this means that the OCB strengthens the relationship between JS and QWL. In simpler terms, job stress reduces first OCBs and then QWL of nurses. These results are consistent with previous studies in this field.[11],[13],[19],[20],[21],[22],[23]

Also, the impact of job strain on OCB and QWL was tested separately for formal and contractual employment groups of nurses and the results showed that this effect was significantly different between the two groups. According to Fisher's z test, the beta value was not equal in both groups, and the difference in the impact factor was significant (p-value = 0.0024, 0.003). Therefore, the effect of job strain on QWL and OCB has been moderated by the employment status of nurses (Formal & Contractual). According to the results, the formal nurses may have less job stress than Contractual nurses because they have relatively higher job security, which is consistent with previous researches.[14],[17],[18],[24] In previous studies, the variables were measured separately, while in this study, all four variables were seen together as a structural model, so their effect on each other was due to other elements. In fact, the innovative aspect of this research is its systemic approach, which has been neglected in previous studies.

Although caring for and helping others can have negative consequences [job stress], nurses enjoy caring for their patients, leading to self-sufficiency, empowerment, and encouragement.[2] The main limitation of this study was that job stress is a multidimensional and multilevel phenomenon that affects various factors and is “affected by various environmental, occupational, organizational, managerial and personality factors”.[8] Unfortunately, we did not examine all of these factors in this study.

Another limitation of this study was the limited number of participants in public hospitals. Therefore, the results should be interpreted with caution and should not be generalized to all nurses, especially in private hospitals, as the results may be different. Another limitation of data collection through questionnaire was due to the impossibility of checking the accuracy of respondents.


  Conclusion Top


The results of this study showed that the job stress scores in nurses were high, low QWL and moderate OCB. Therefore, reducing job stress is essential today, especially in hard and stressful jobs such as nursing. Also the results showed that job strain affects QWL of nurses and their OCBs. In other words, work stress leads to a decrease in OCBs and thus a decrease in QWL. Also, formal and contractual nurses had different experiences of job stress. Further research is needed to strengthen QWL and OCB and reduce work stress in nurses. In this regard, managers and supervisors should work to reduce job stress and increase OCB to improve QWL. For example, consider enough time and opportunity to do activities; each nurse should have a specific workload according to their duties; the respect of nurses must be maintained and their morale must be taken into account; reward and compensation should be appropriate and fair; justice in payments should be observed in comparison with similar work in the hospital. Considering the close contact of nurses with patients in hospital wards and following physicians' orders, they are more exposed to job stress.[8] Therefore, it can be concluded that the correct relationship between physician and nurse can reduce job stress in nurses.

Acknowledgements

This article was derived from a MS thesis with project number 9516178 Shahid Chamran University of Ahvaz, Ahvaz, Iran. We appreciate all the nurses participating in this study who had collaborated in the production of information, also of the Shahid Chamran University of Ahvaz for approving this study. The authors sincerely thank the referees for their valuable comments in order to improve the quality of the article.

Financial support and sponsorship

Shahid Chamran University of Ahvaz, Ahvaz, Iran

Conflicts of interest

Nothing to declare.



 
  References Top

1.
Ariapooran S. Compassion fatigue and burnout in Iranian nurses: The role of perceived social support. Iran J Nurs Midwifery Res 2014;19:279-84.  Back to cited text no. 1
    
2.
Babaei S, Haratian M. Compassion satisfaction and fatigue in cardiovascular nurses: A cross-sectional descriptive study. Iran J Nurs Midwifery Res 2020;25:212-6.  Back to cited text no. 2
    
3.
Yilmaz G, Ustun B. Professional quality of life in nurses: Compassion satisfaction and compassion fatigue. J Psychiatr Nurs 2018;9:205-11.  Back to cited text no. 3
    
4.
Mohammadi J. Exploring the Model of Effective Moderators on Relationship between Strains and Organizational Citizenship Behaviors A Meta-Analysis Approach, [Ph.D. Thesis]. Tarbiat Modares University, Tehran, Iran, 2011.  Back to cited text no. 4
    
5.
Zhang L, Jue FU, Benxian YA, Zhang Y. Correlations among work stressors, work stress responses, and subjective well-being of civil servants: Empirical evidence from China. Iran J Public Health 2019;48:1059-67.  Back to cited text no. 5
    
6.
Urizar GG, Miller K, Saldaña KS, Garovoy N, Sweet CMC, King AC. Effects of health behavior interventions on psychosocial outcomes and cortisol regulation among chronically stressed midlife and older adults. Int J Behav Med 2021;28:627-40.  Back to cited text no. 6
    
7.
Tirgari B, Azizzadeh Forouzi M, Ebrahimpoure M. Relationship between posttraumatic stress disorder and compassion satisfaction, compassion fatigue, and burnout in Iranian psychiatric nurses. J Psychosoc Nurs Ment Health Serv 2019;57:39-47.  Back to cited text no. 7
    
8.
Sedaghati A, Assarroudi A, Akrami R, Rad M. Moral distress and its influential factors in the nurses of the nursing homes in Khorasan Provinces in 2019. Iran J Nurs Midwifery Res 2020;25:319-24.  Back to cited text no. 8
    
9.
Shariatkhah J, Farajzadeh Z, Khazaee K. The effects of cognitive-behavioral stress management on nurses' job stress. Iran J Nurs Midwifery Res 2017;22:398-402.  Back to cited text no. 9
    
10.
Safaeian A, Rouzbahani R, Tavakolifard N, Mzannar S, Fatemi SM, Abbasi F. Assessment of job stress among the employees of Alzahra Hospital; The Largest Healthcare Center in Isfahan Province, Iran. J Isfahan Med Sch 2019;37:857-63.  Back to cited text no. 10
    
11.
Salehi S, Valiee S, Ghafoori S, Roshani D, Fathi M. Effect of valerian capsule on anxiety and quality of life in type 1 diabetes: A clinical trial. Sci J Kurdistan Univ Med Sci 2019;24:55-66.  Back to cited text no. 11
    
12.
Eslamian J, Akbarpoor AA, Hoseini SA. Quality of work life and its association with workplace violence of the nurses in emergency departments. Iran J Nurs Midwifery Res 2015;20:56-62.  Back to cited text no. 12
    
13.
Yousefi A, Ebrahim Z, Bastani P, Najibi M, Radinmanesh M, Mehrtak M. Health literacy status and its relationship with quality of life among nurses in teaching hospitals of Shiraz University of Medical Sciences. Iran J Nurs Midwifery Res 2019;24:73-9.  Back to cited text no. 13
    
14.
Mohammadi J, Fani A, Azar A, Fathi S. Evaluating the effect of the characteristics of the research participants on the relationship between Strain and Organizational Citizenship Behavior. J Public Adm 2013;5:97-124.  Back to cited text no. 14
    
15.
Taheri Y, Mohammadi J, Jafarinia S. Investigating the relationship between transformational leadership and organizational citizenship behavior, considering to the mediator role of empowerment. J Public Adm 2014;6:769-89.  Back to cited text no. 15
    
16.
Klotz AC, Bolino MC, Song H, Stornelli J. Examining the nature, causes, and consequences of profiles of organizational citizenship behavior. J Organ Behav 2018;39:629-47.  Back to cited text no. 16
    
17.
Mohammadi S. The moderating role of religion and demographic characteristics of subjects on the relationship between strain and organizational citizenship behavior: A meta-analysis approach. Islam Psychol Res 2017;3:7-28.  Back to cited text no. 17
    
18.
Yadav G, Sarika M. Impact of quality of work life on organization citizenship behavior: A special case of teaching fraternity in Jaipur. ASMs Int E-Journal Ongoing Res Manag IT 2015;10:62-9.  Back to cited text no. 18
    
19.
Parsa S. The relationship between quality of work life, performance, stress, job satisfaction. Soc Welf Q 2014;14:61-83.  Back to cited text no. 19
    
20.
Chegini Z, Asghari Jafarabadi M, Kakemam E. Occupational stress, quality of working life and turnover intention amongst nurses. Nurs Crit Care 2019;24:283-9.  Back to cited text no. 20
    
21.
Rashed S, Snoubar Y. Job stress and its relation to the quality of work-life at a sample of Job stress and its relation to the quality of work-life at a sample of social workers in special intellectual education schools. Egypt J Soc Work 2019;8:201-26.  Back to cited text no. 21
    
22.
Yang J, Yan W. Relationship of mental stress of middle school students and campus safety atmosphere with psychosocial safety behaviors. Iran J Public Health 2020;49:693-700.  Back to cited text no. 22
    
23.
Fani A, Mohammadi J, Fathi S. Designing a model of the relationship between strain and organizational citizenship behavior: A meta-analytic approach on the Moderating role of the characteristics of the study. Manag Res Iran 2013;17:145-76.  Back to cited text no. 23
    
24.
Salimi SB, Ashkanpour M. Employees performance in different employment modes: Evidences from Rasht Health Care Network. J Dev Evol Manag 2012;8:7-14.  Back to cited text no. 24
    
25.
Danaeifard H, Alvani SM, Azar A. Methodology of Quantitative Research in Management. 14th ed. Tehran: Saffar Publishing; 2019.  Back to cited text no. 25
    
26.
Mirkamali SM, Mazari E, Khabare K, Zoughipour S. 'Identify job stressors and their relationship with quality of work life (Case: Faculty Members of Birjand University). Organ Cult Manag 2016;13:1113-33.  Back to cited text no. 26
    
27.
Ghaleei A, Mohajeran B, Taajobi M, Imani B. Relationship between quality of work life and occupational stress in staff of Bu-ali Sina university of Hamadan, 2013. Pajouhan Sci J 2015;13:60-6.  Back to cited text no. 27
    
28.
Davari A, Rezazadeh A. Structural Modeling with SmartPLS Application. Tehran: Jihad Daneshgahi Publishing; 2018.  Back to cited text no. 28
    
29.
Hair JF, Hult GT, Ringle M, Sarstedt M. Partial Least Squares, Structural Equation Modeling First edition, translated by Adel Azar & Rasoul Gholamzadeh. Tehran: Negahedanesh Publishing; 2019.  Back to cited text no. 29
    



 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4]



 

Top
 
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article
Abstract
Introduction
Materials and Me...
Results
Discussion
Conclusion
References
Article Tables

 Article Access Statistics
    Viewed136    
    Printed2    
    Emailed0    
    PDF Downloaded25    
    Comments [Add]    

Recommend this journal