The Mediating Role of Psychological Capital on the Association between Occupational Stress and Job Burnout among Bank Employees in China
Abstract
:1. Introduction
2. Methods
2.1. Study Design and Sample
2.2. Demographic and Working Characteristics
2.3. Measurement of Occupational Stress
2.4. Measurement of Psychological Capital
2.5. Measurement of Job Burnout
2.6. Statistical Analysis
3. Results
3.1. Participant Characteristics
3.2. Correlations between Study Variables
3.3. Regression Analysis with Emotional Exhaustion as the Criterion Variable
Variable | Males | Females | ||||||
---|---|---|---|---|---|---|---|---|
N (%) | EE | DE | PA | N (%) | EE | DE | PA | |
Mean(SD) | Mean(SD) | Mean(SD) | Mean(SD) | Mean(SD) | Mean(SD) | |||
Total | 467 (37.7%) | 8.29 (6.56) | 8.75 (6.51) | 18.06 (11.09) | 772 (62.3%) | 8.80 (6.47) | 9.31 (6.19) | 20.88 (10.71) ** |
Age (years) | ||||||||
≤30 | 177 (37.9%) | 8.12 (6.68) | 8.64 (6.42) | 18.86 (10.98) | 383 (49.6%) | 8.91 (6.72) | 9.18 (6.19) | 21.39 (10.39) * |
30–40 | 137 (29.3%) | 9.23 (6.06) | 8.88 (6.06) | 19.13 (10.54) * | 237 (30.7%) | 9.05 (6.30) | 9.19 (5.92) | 21.33 (10.64) |
≥40 | 153 (32.8%) | 7.64 (6.81) | 8.77 (7.04) | 16.18 (11.53) | 152 (19.7%) | 8.16 (6.09) | 9.82 (6.62) | 18.88 (11.41) |
Marital status | ||||||||
Single/widowed/divorced | 160 (34.3%) | 8.36 (6.90) | 8.78 (6.56) | 18.43 (10.99) | 276 (35.8%) | 8.22 (6.06) | 8.62 (5.74) | 21.35 (10.17) |
Married/cohabiting | 307 (55.7%) | 8.25 (6.39) | 8.74 (6.50) | 17.87 (11.16) | 496 (64.2%) | 9.13 (6.67) | 9.69 (6.40) * | 20.61 (11.00) |
Education | ||||||||
Junior college or lower | 54 (11.6%) | 7.44 (6.79) | 7.78 (6.40) | 12.61 (9.76) | 72 (9.3%) | 7.92 (6.05) | 8.74 (6.46) | 14.72 (10.16) |
College | 338 (72.4%) | 8.45 (6.69) | 8.89 (6.55) | 18.04 (10.89) | 550 (71.2%) | 9.01 (6.52) | 9.49 (6.15) | 21.35 (10.74) |
Graduate or higher | 75 (16.1%) | 8.17 (5.81) | 8.83 (6.47) | 22.08 (11.32) ** | 150 (19.4%) | 8.48 (6.48) | 8.91 (6.22) | 22.09 (9.93) ** |
Monthly income (RMB) | ||||||||
≤3000 | 178 (38.1%) | 8.60 (6.75) | 9.13 (6.79) | 17.70 (10.79) | 327 (42.4%) | 9.03 (6.65) | 9.78 (6.09) | 20.96 (10.63) |
>3000 | 259 (61.9%) | 8.09 (6.45) | 8.52 (6.33) | 18.29 (11.29) | 445 (57.6%) | 8.64 (6.34) | 8.96 (6.25) | 20.82 (10.77) |
Job seniority | ||||||||
Head bank employee | 99 (21.2%) | 8.37 (5.80) | 7.99 (5.65) | 19.17 (11.54) | 126 (16.3%) | 9.68 (6.06) | 9.72 (6.20) | 22.14 (10.27) |
Common bank employee | 368 (78.8%) | 8.26 (6.76) | 8.96 (6.72) | 17.76 (10.96) | 646 (83.7%) | 8.63 (6.54) | 9.23 (6.19) | 20.63 (10.78) |
Weekly hours worked | ||||||||
≤40 h | 165 (35.3%) | 6.96 (6.36) | 8.24 (5.69) | 17.69 (11.63) | 242 (31.3%) | 7.32 (5.49) | 8.63 (5.60) | 21.03 (10.86) |
>40 h | 302 (64.7%) | 9.01 (6.57) ** | 9.03 (6.42) | 18.26 (10.80) | 530 (68.7%) | 9.48 (6.77) ** | 9.62 (6.43) * | 20.81 (10.65) |
Variable | Males | Females | ||||||
---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
1. Age(yr) | - | 0.085 * | −0.237 ** | 0.026 | −0.067 | −0.002 | 0.057 | −0.106 ** |
2. Extrinsic effort | −0.035 | - | −0.229 ** | 0.361 ** | −0.297 ** | 0.494 ** | 0.318 ** | −0.015 |
3. Reward | −0.216 ** | −0.229 ** | - | −0.161 ** | 0.256 ** | −0.181 ** | −0.174 ** | 0.220 ** |
4.Overcommitment | 0.018 | 0.337 ** | −0.126 ** | - | −0.178 ** | 0.282 ** | 0.139 ** | −0.031 |
5. PsyCap | −0.094 * | −0.192 ** | 0.219 ** | −0.038 | - | −0.363 ** | −0.270 ** | 0.187 ** |
6. EE | −0.024 | 0.458 ** | −0.127 ** | 0.250 ** | −0.300 ** | - | 0.649 ** | 0.147 ** |
7. DE | 0.025 | 0.326 ** | −0.135 ** | 0.145 ** | −0.263 ** | 0.740 ** | - | 0.354 ** |
8. PA | −0.116 * | 0.063 | 0.175 ** | 0.022 | 0.112 * | 0.318 ** | 0.464 ** | - |
Predictors | Path Coefficients | a × b (BCa 95% CI) | R2 | |||
---|---|---|---|---|---|---|
c | a | b | c’ | |||
Males | ||||||
Extrinsic effort | 0.456 ** | ‒0.228 ** | ‒0.213 ** | 0.408 ** | 0.048 (0.025, 0.082) | 0.246 |
Reward | ‒0.142 ** | 0.223 ** | ‒0.282 ** | ‒0.079 | ‒0.065 (‒0.100, ‒0.033) | 0.093 |
Overcommitment | 0.266 ** | ‒0.056 | ‒0.286 ** | 0.250 ** | 0.016 (‒0.013, 0.048) | 0.143 |
Females | ||||||
Extrinsic effort | 0.496 ** | −0.286 ** | ‒0.251 ** | 0.425 ** | 0.073 (0.046, 0.098) | 0.295 |
Reward | ‒0.191 ** | 0.237 ** | ‒0.351 ** | ‒0.108 ** | ‒0.083 (‒0.119, ‒0.057) | 0.147 |
Overcommitment | 0.265 ** | ‒0.162 ** | ‒0.338 ** | 0.210 ** | 0.056 (0.028, 0.083) | 0.183 |
3.4. Regression Analysis with Depersonalisation as the Criterion Variable
Predictors | Path Coefficients | a × b (BCa 95% CI) | R2 | |||
---|---|---|---|---|---|---|
c | a | b | c’ | |||
Males | ||||||
Extrinsic effort | 0.334 ** | ‒0.228 ** | ‒0.206 ** | 0.287 ** | 0.047 (0.022, 0.083) | 0.140 |
Reward | ‒0.144 ** | 0.223 ** | ‒0.249 ** | ‒0.088 | ‒0.056 (‒0.098,‒0.028) | 0.071 |
Overcommitment | 0.153 ** | ‒0.056 | ‒0.259 ** | 0.139 ** | 0.015 (‒0.012, 0.043) | 0.081 |
Females | ||||||
Extrinsic effort | 0.314 ** | ‒0.286 ** | ‒0.196 ** | 0.258 ** | 0.056 (0.033, 0.087) | 0.132 |
Reward | ‒0.169 ** | 0.237 ** | ‒0.246 ** | ‒0.111 ** | ‒0.059 (‒0.087, ‒0.037) | 0.083 |
Overcommitment | 0.129 ** | ‒0.162 ** | ‒0.256 ** | 0.087 ** | 0.042 (0.021, 0.069) | 0.080 |
3.5. Regression Analysis with Professional Accomplishment as the Criterion Variable
Predictors | Path Coefficients | a × b (BCa 95% CI) | R2 | |||
---|---|---|---|---|---|---|
c | a | b | c’ | |||
Males | ||||||
Extrinsic effort | 0.038 | ‒0.228 ** | 0.087 | 0.058 | ‒0.019 (‒0.045,‒0.003) | 0.051 |
Reward | 0.156 ** | 0.223 ** | 0.048 | 0.146 ** | 0.011 (‒0.007, 0.034) | 0.066 |
Overcommitment | 0.003 | ‒0.056 | 0.076 | 0.007 | ‒0.005 (‒0.019, 0.002) | 0.048 |
Females | ||||||
Extrinsic effort | ‒0.003 | ‒0.286 ** | 0.192 ** | 0.052 | ‒0.055 (‒0.081, ‒0.033) | 0.062 |
Reward | 0.191 ** | 0.237 ** | 0.138 ** | 0.158 ** | 0.033 (0.015, 0.054) | 0.083 |
Overcommitment | ‒0.023 | ‒0.162 ** | 0.177 ** | 0.005 | ‒0.029 (‒0.048, ‒0.015) | 0.060 |
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Maslach, C.; Schaufeli, W.B.; Leiter, M.P. Job burnout. Ann. Rev. Psychol. 2001, 52, 397–422. [Google Scholar] [CrossRef]
- Schaufeli, W.B.; Leiter, M.P.; Maslach, C.; Jackson, S.E. Maslach Burnout Inventory, Man. 3rd ed.; University of California, Consulting Psychologists Press: Palo Alto, CA, USA, 1996; pp. 19–26. [Google Scholar]
- Freudenberger, H.J. Staff burnout. J. Soc. Issues. 1974, 30, 159–165. [Google Scholar] [CrossRef]
- Wu, H.; Liu, L.; Sun, W.; Zhao, X.; Wang, J.; Wang, L. Factors related to burnout among Chinese female hospital nurses: Cross-sectional survey in Liaoning Province of China. J. Nurs. Manag. 2014, 22, 624–629. [Google Scholar] [CrossRef]
- Cooke, G.P.E.; Doust, J.A.; Steele, M.C. A survey of resilience, burnout, and tolerance of uncertainty in Australian general practice registrars. BMC Med. Educ. 2013, 13. [Google Scholar] [CrossRef] [PubMed]
- Khamisa, N.; Peltzer, K.; Oldenburg, B. Burnout in relation to specific contributing factors and health outcomes among nurses: A systematic review. Int. J. Environ. Res. Public Health 2013, 10, 2214–2240. [Google Scholar] [CrossRef] [PubMed]
- Lindwall, M.; Gerber, M.; Jonsdottir, I.H.; Börjesson, M.; Ahlborg, G. The relationships of change in physical activity with change in depression, anxiety, and burnout: A longitudinal study of Swedish healthcare workers. Health Psychol. 2014, 33, 1309–1318. [Google Scholar] [CrossRef] [PubMed]
- Ding, Y.W.; Qu, J.W.; Yu, X.S.; Wang, S. The mediating effects of burnout on the relationship between anxiety symptoms and occupational stress among community healthcare workers in China: A cross-sectional study. PLoS One 2014, 9. [Google Scholar] [CrossRef] [PubMed]
- Mohren, D.C.L.; Swaen, G.M.H.; Kant, I.J.; van Amelsvoort, L.G.; Borm, P.J.; Galama, J.M. Common infections and the role of burnout in a Dutch working population. J. Psychosom. Res. 2003, 55, 201–208. [Google Scholar] [CrossRef] [PubMed]
- Lin, Q.H.; Jiang, C.Q.; Lam, T.H. The relationship between occupational stress, burnout, and turnover intention among managerial staff from a sino-japanese joint venture in Guangzhou, China. J. Occup. Health 2013, 55, 458–467. [Google Scholar] [CrossRef] [PubMed]
- Gorji, M.; Vaziri, S. The survey job burnout status and its relation with the performance of the employees (Case study: Bank). Int. Proc. Econ. Dev. Res. 2011, 14, 219–224. [Google Scholar]
- Jasperse, M.; Herst, P.; Dungey, G. Evaluating stress, burnout and job satisfaction in New Zealand radiation oncology departments. Eur. J. Cancer Care 2014, 23, 82–88. [Google Scholar] [CrossRef]
- Wang, Y.; Liu, L.; Wang, J.; Wang, L. Work-family conflict and burnout among Chinese doctors: The mediating role of psychological capital. J. Occup. Health 2012, 54, 232–240. [Google Scholar] [CrossRef] [PubMed]
- Zhang, L.; Zhao, J.; Xiao, H.; Zheng, H.; Xiao, Y.; Chen, M.; Chen, D. Mental health and burnout in primary and secondary school teachers in the remote mountain areas of Guangdong Province in the People’s Republic of China. Neuropsychiatr. Dis. Treat. 2014, 10, 123–130. [Google Scholar] [CrossRef] [PubMed]
- Yom, Y.H. Analysis of burnout and job satisfaction among nurses based on the job demand-resource model. J. Korean Acad. Nurs. 2013, 43, 114–122. [Google Scholar] [CrossRef] [PubMed]
- Finney, C.; Stergiopoulos, E.; Hensel, J.; Bonato, S.; Dewa, C.S. Organizational stressors associated with job stress and burnout in correctional officers: A systematic review. BMC Public Health 2013, 13. [Google Scholar] [CrossRef] [PubMed]
- Wu, S.; Zhu, W.; Li, H.; Wang, Z.; Wang, M. Relationship between job burnout and occupational stress among doctors in China. Stress Health 2008, 24, 143–149. [Google Scholar] [CrossRef]
- Bagaajav, A.; Myagmarjav, S.; Nanjid, K.; Otgon, S.; Chae, Y.M. Burnout and job stress among Mongolian doctors and nurses. Ind. Health 2011, 49, 582–588. [Google Scholar] [CrossRef] [PubMed]
- Poghosyan, L.; Aiken, L.H.; Sloane, D.M. Factor structure of the Maslach burnout inventory: An analysis of data from large scale cross-sectional surveys of nurses from eight countries. Int. J. Nurs. Stud. 2009, 46, 894–902. [Google Scholar] [CrossRef] [PubMed]
- Yan, S.Y.; He, Y.P.; Lai, S.R.; Ding, X.C.; Yang, P.D.; Dai, D.M. Association between occupational stress and job burnout among staff in companies. J. Environ. Occup. Med. 2011, 28, 466–470. (In Chinese) [Google Scholar]
- Wang, Y.; Ramos, A.; Wu, H.; Liu, L.; Yang, X.; Wang, J.; Wang, L. Relationship between occupational stress and burnout among Chinese teachers: A cross-sectional survey in Liaoning, China. Int. Arch. Occup. Environ. Health 2014, 105, 1248–1254. [Google Scholar]
- Silva, J.L.; Navarro, V.L. Work organization and the health of bank employees. Lat. Am. J. Nurs. 2012, 20, 226–234. [Google Scholar] [Green Version]
- Shahram, H.; Somayeh, A.; Behnam, G.F. The effect of occupational stress, psychological stress and burnout on employee performance: Evidence from banking industry. Manag. Sci. Lett. 2014, 4, 2101–2106. [Google Scholar] [CrossRef]
- Ozkan, A.; Ozdevecioğlu, M. The effects of occupational stress on burnout and life satisfaction: A study in accountants. Qual. Quant. 2013, 47, 2785–2798. [Google Scholar] [CrossRef]
- Zhao, J.; Zhang, X.C. Work stress and job burnout: The moderating effects of psychological capital. J. Henan Norm. Univ. (Nat. Sci.) 2010, 38, 139–143. [Google Scholar]
- Luthans, F.; Avolio, B.J.; Walumbwa, F.O.; Li, W.X. The psychological capital of Chinese workers: Exploring the relationship with performance. Manag. Organ. Rev. 2005, 1, 249–271. [Google Scholar] [CrossRef]
- Luthans, F.; Youssef, C.M. Human, social, and now positive psychological management: Investing in people for competitive advantage. Organ. Dyn. 2004, 33, 143–160. [Google Scholar] [CrossRef]
- Avey, J.B.; Luthans, F.; Youssef, C.M. The additive value of positive psychological capital in predicting work attitudes and behaviors. J. Manag. 2010, 36, 430–452. [Google Scholar]
- Fu, J.; Sun, W.; Wang, Y.; Yang, X.; Wang, L. Improving job satisfaction of Chinese doctors: The positive effects of perceived organizational support and psychological capital. Public Health 2013, 127, 946–951. [Google Scholar] [CrossRef] [PubMed]
- Sun, T.; Zhao, X.W.; Yang, L.B.; Fan, L.H. The impact of psychological capital on job embeddedness and job performance among nurses: A structural equation approach. J. Adv. Nurs. 2012, 68, 69–79. [Google Scholar] [CrossRef] [PubMed]
- Walumbwa, F.O.; Peterson, S.J.; Avolio, B.J.; Hartnell, C.A. An investigation of the relationships among leader and follower psychological capital, service climate, and job performance. Pers. Psychol. 2010, 63, 937–963. [Google Scholar] [CrossRef]
- Peng, J.; Jiang, X.; Zhang, J.; Xiao, R.; Song, Y.; Feng, X.; Zhang, Y.; Miao, D. The impact of psychological capital on job burnout of chinese nurses: The mediator role of organizational commitment. PLoS One 2013, 8. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, T.D.; Nguyen, T.T.M. Psychological capital, quality of work life, and quality of life of marketers: Evidence from Vietnam. J. Macromarketing 2012, 32, 87–95. [Google Scholar] [CrossRef]
- Fariborz, R.; Ahmadreza, K.M.; Zahra, M. Emotional mediators of psychological capital on well-being: The role of stress, anxiety, and depression. Manag. Sci. Lett. 2013, 3, 913–926. [Google Scholar] [CrossRef]
- Avey, J.B.; Luthans, F.; Jensen, S.M. Psychological capital: A positive resource for combating employee stress and turnover. Human Resour. Manag. 2009, 48, 677–693. [Google Scholar] [CrossRef]
- Rego, A.; Sousa, F.; Marques, C. Authentic leadership promoting employees’ psychological capital and creativity. J. Bus. Res. 2012, 65, 429–437. [Google Scholar] [CrossRef]
- Luthans, F.; Norman, S.M.; Avolio, B.J.; Avey, J.B. The mediating role of psychological capital in the supportive organizational climate-employee performance relationship. J. Organ. Behav. 2008, 29, 219–238. [Google Scholar] [CrossRef]
- Wang, Y.; Chang, Y.; Fu, J.; Wang, L. Work-family conflict and burnout among Chinese female nurses: The mediating effect of psychological capital. BMC Public Health 2012, 12. [Google Scholar] [CrossRef] [PubMed]
- Wu, H.; Zhao, Y.; Wang, J.N.; Wang, L. Factors associated with occupational stress among Chinese doctors: A cross-sectional survey. Int. Arch. Occup. Environ. Health 2010, 83, 155–164. [Google Scholar] [CrossRef] [PubMed]
- Hassan, E.M. Gender, self-concept and occupational status differentials in occupational stress among bank workers in Lagos State. Soc. Sci. 2009, 4, 154–157. [Google Scholar]
- Yang, W.J.; Li, J. Measurement of psychosocial factors in work environment: Application of two models of occupational stress. Chinese J. Ind. Hyg. Occup. Dis. 2004, 22, 422–426. [Google Scholar]
- Xu, W.; Yu, H.; Gao, W.; Guo, L.; Zeng, L.; Zhao, Y. When job stress threatens Chinese workers: Combination of job stress models can improve the risk estimation for coronary heart disease-The BADCAR study. J. Occup. Environ. Med. 2011, 53, 771–775. [Google Scholar] [CrossRef] [PubMed]
- Liu, L.; Chang, Y.; Fu, J.; Wang, J.; Wang, L. The mediating role of psychological capital on the association between occupational stress and depressive symptoms among Chinese physicians: A cross-sectional study. BMC Public Health 2012, 12. [Google Scholar] [CrossRef] [PubMed]
- Luthans, F.; Avolio, B.J.; Avey, J.B.; Norman, S.M. Positive psychological capital: Measurement and relationship with performance and satisfaction. Pers. Psychol. 2007, 60, 541–572. [Google Scholar] [CrossRef]
- Pan, Q.Q.; Zhou, Z.K. Relationships among psychological capital, coping style and mental health of impoverished college students. China J. Health Psychol. 2009, 17, 844–846. (In Chinese) [Google Scholar]
- Maslach, C.; Jackson, S.E. The measurement of experienced burnout. J. Organ. Behav. 1981, 2, 99–113. [Google Scholar] [CrossRef]
- Li, J.; Yang, W.; Cheng, Y.; Sieqrist, J.; Cho, S.I. Effort-reward imbalance at work and job dissatisfaction in Chinese healthcare workers: A validation study. Int. Arch. Occup. Environ. Health 2005, 78, 198–204. [Google Scholar] [CrossRef] [PubMed]
- Mantelou, E.; Tzioti, M.C.; Degleris, N.E.; Solias, A.; Karamberi, M. Job burnout, self-efficacy theory and job satisfaction in a sample of greek bank clerks. Ann. Gen. Psychiatry. 2010, 9. [Google Scholar] [CrossRef]
- Preacher, K.J.; Hayes, A.F. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Meth. 2008, 40, 879–891. [Google Scholar] [CrossRef]
- Schutte, N.; Toppinen, S.; Kalimo, R.; Schaufeli, W. The factorial validity of the Maslach Burnout Inventory-General Survey (MBI-GS) across occupational groups and nations. J. Occup. Organ. Psychol. 2000, 73, 53–66. [Google Scholar] [CrossRef]
- Saijo, Y.; Chiba, S.; Yoshioka, E.; Kawanishi, Y.; Nakaqi, Y.; Ito, T.; Suqioka, Y.; Kitaoka-Hiqashiquchi, K.; Yoshida, T. Job stress and burnout among urban and rural hospital physicians in Japan. Aust. J. Rural Health 2013, 21, 225–231. [Google Scholar] [CrossRef] [PubMed]
- Khattak, J.K.; Khan, M.A.; Haq, A.U.; Arif, M.; Minhas, A.A. Occupational stress and burnout in Pakistan’s banking sector. Afr. J. Bus. Manag. 2011, 5, 810–817. [Google Scholar]
© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Li, X.; Kan, D.; Liu, L.; Shi, M.; Wang, Y.; Yang, X.; Wang, J.; Wang, L.; Wu, H. The Mediating Role of Psychological Capital on the Association between Occupational Stress and Job Burnout among Bank Employees in China. Int. J. Environ. Res. Public Health 2015, 12, 2984-3001. https://doi.org/10.3390/ijerph120302984
Li X, Kan D, Liu L, Shi M, Wang Y, Yang X, Wang J, Wang L, Wu H. The Mediating Role of Psychological Capital on the Association between Occupational Stress and Job Burnout among Bank Employees in China. International Journal of Environmental Research and Public Health. 2015; 12(3):2984-3001. https://doi.org/10.3390/ijerph120302984
Chicago/Turabian StyleLi, Xirui, Dan Kan, Li Liu, Meng Shi, Yang Wang, Xiaoshi Yang, Jiana Wang, Lie Wang, and Hui Wu. 2015. "The Mediating Role of Psychological Capital on the Association between Occupational Stress and Job Burnout among Bank Employees in China" International Journal of Environmental Research and Public Health 12, no. 3: 2984-3001. https://doi.org/10.3390/ijerph120302984
APA StyleLi, X., Kan, D., Liu, L., Shi, M., Wang, Y., Yang, X., Wang, J., Wang, L., & Wu, H. (2015). The Mediating Role of Psychological Capital on the Association between Occupational Stress and Job Burnout among Bank Employees in China. International Journal of Environmental Research and Public Health, 12(3), 2984-3001. https://doi.org/10.3390/ijerph120302984