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Depressive symptoms in three Chinese older workforce groups: the interplay of work stress with family and community factors

Published online by Cambridge University Press:  10 June 2019

Fei Sun
Affiliation:
School of Social Work, Michigan State University, East Lansing, Michigan, USA
Wanlian Li*
Affiliation:
School of Public Management, College of Public Administration and Law, Hunan Agricultural University, Changsha City, Hunan, China
Lin Jiang
Affiliation:
Department of Social Work, University of Texas Rio Grande Valley, Edinburg, Texas, USA
Jaewon Lee
Affiliation:
School of Social Work, Michigan State University, East Lansing, Michigan, USA
*
Correspondence should be addressed to: Wanlian Li, School of Public Management, College of Public Administration and Law, Hunan Agricultural University, Nongda Rd, Furong Qu, Changsha City, Hunan Province, China 410125. Phone: 86-073184617003; Fax: 86- 073184611473. Email: [email protected].
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Abstract

Background:

More people remain in the workforce into their late life as people’s life expectancy increases. This study examined the relationship between work stress and depressive symptoms of older workers in mainland China, focusing on the interplay between work stress with family and community factors in three (i.e., urban, rural, and migrant) settings.

Methods:

National representative survey data on the Chinese labor force collected by the Social Science Research Center of Sun-Yetsen University in 2014 were used. The sample consisted of 5,751 workers aged 50 and above recruited from 29 out of 31 provinces in mainland China.

Results:

Work stress had a consistent and robust effect on depressive symptoms across older worker groups. Moreover, it interacted with family and community factors differentially in three settings. For migrant older workers, work stress was a dominant factor affecting their depressive symptoms. Among rural older workers, the influence of work stress on depressive symptoms depended on their family debt and neighborhood cohesion levels.

Conclusion:

Stressors from work, family, and community comprised a general model that explains depressive symptoms in Chinese older workers. Interventions or service programs aimed at reducing work stress and improving mental health among older adults should consider the complexity of intertwining family and community dynamics as well as respective strengths in urban, rural, and migrant communities.

Type
Original Research Article
Copyright
© International Psychogeriatric Association 2019 

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References

Bronfenbrenner, U. and Morris, P.A. (1998). The ecology of developmental processes. In: Damon, W. and Lerner, R.M. (Eds.), Handbook of Child Psychology: Theoretical Models of Human Development (pp. 9931028). Hoboken, NJ: John Wiley & Sons Inc.Google Scholar
Bureau of Labor Statistics (2017). Older workers: labor force trends and career options. Available at: https://www.bls.gov/careeroutlook/2017/article/older-workers.htmGoogle Scholar
Cai, H. and Jiang, F. (2017). Work stress of urban employees and their differences in different systems and organizations. Learning and Exploration, 6, 5361.Google Scholar
Chai, Y.W., Li, C.X. and Shen, J. (2010).The Activity Space of the Urban Elderly in China. Beijing: Science Press.Google Scholar
Che, Y., Wang, Y.Y. and Ma, C.C. (2007). Logistic empirical study on labor supply behavior of old age laborers. Quantitative Economic Technical and Economic Research, 24, 7382.Google Scholar
Chen, R., Copeland, J.R.M. and Wei, L. (1999). A meta-analysis of epidemiological studies in depression of older people in the People’s Republic of China. International Journal of Geriatric Psychiatry, 14, 821830.3.0.CO;2-0>CrossRefGoogle ScholarPubMed
Chen, R., Wei, L., Hu, Z., Qin, X., Copeland, J.R. and Hemingway, H. (2005). Depression in older people in rural China. Archives of Internal Medicine, 165, 20192025.CrossRefGoogle ScholarPubMed
Chen, W.Q., Siu, O.L., Lu, J.F., Cooper, C.L. and Phillips, D.R. (2009). Work stress and depression: the direct and moderating effects of informal social support and coping. Stress and Health, 25, 431443.CrossRefGoogle Scholar
Chen, Y.Y. et al. (2016). Neighborhood support network, perceived proximity to community facilities and depressive symptoms among low socioeconomic status Chinese elders. Aging & Mental Health, 20, 423431.CrossRefGoogle ScholarPubMed
China National Bureau of Statistics (2017, April 30). 2016 survey report on migrant workers. Available at: http://cn.chinagate.cn/news/2017-04/30/content_40721463.htmGoogle Scholar
Chou, R.J.A. (2010). Workforce participation among older adults in China: current knowledge and future research directions. China Journal of Social Work, 3, 247258.CrossRefGoogle Scholar
Chou, R.J. and Choi, N.G. (2011). Prevalence and correlates of perceived workplace discrimination among older workers in the United States. Ageing and Society, 31, 10511070.CrossRefGoogle Scholar
Gao, S. et al. (2009). Correlates of depressive symptoms in rural elderly Chinese. International Journal of Geriatric Psychiatry, 24, 13581366.CrossRefGoogle ScholarPubMed
Gao, Y.D., Cao, C.G., Liu, R. and Yue, C.Z. (2016). Identity and self-harmony of the new generation of migrant workers. China Journal of Health Psychology, 24, 3639.Google Scholar
Glass, T.A. and Balfour, J.L. (2003). Neighborhoods, aging, and functional limitations. Neighborhoods and Health, 1, 303334.CrossRefGoogle Scholar
Guo, A.M. (2011). A comparative study on depressive symptoms on urban and rural elderly population in China. Journal of Shandong Normal University (Humanities and Social Sciences), 1, 106110.Google Scholar
Härkönen, U. (2007). The Bronfenbrenner ecological systems theory of human development. In: Slahova, Aleksandra et al. (Eds.), Scientific Articles of V International Conference Person. Color. Nature. Music (pp. 922). Saule, Latvia: Daugavpils University.Google Scholar
He, Y.H. (November 18, 2015). Old Guangdong do not believe “no knowledge as a virture for women” and hold the belief of higher education more happiness for women. Yancheng Evening News, A14. Available at: http://news.southcn.com/g/2015-11/25/content_137592415.htmGoogle Scholar
Li, Q. and Song, Y.P. (2009). The impact of labor mobility on agricultural labor time in rural areas and regional differences. China's Rural Economy, 5, 5260.Google Scholar
Li, T.C., Li, M.C. and Meng, F.X. (2018). The risk perception of migrant workers and the willingness to settle down in cities—empirical analysis based on the CLDS 2014 data. Journal of Fujian Agricultural and Forestry University, 21, 7075.Google Scholar
Lim, L.L., Chang, W., Yu, X., Chiu, H., Chong, M.Y. and Kua, E.H. (2011). Depression in Chinese elderly populations. Asia-Pacific Psychiatry, 3, 4653.CrossRefGoogle Scholar
Lin, B. (2001).The opportunity and choice of China's retirement age reform. Chinese Journal of Population Science, 1, 2531.Google Scholar
Liu, C.Y. et al. (1997). Depressive disorders among older residents in a Chinese rural community. Psychological Medicine, 27, 943949.CrossRefGoogle Scholar
Liu, Q. and Chen, S.H. (2015). An analysis of the mental health status and its influencing factors in the elderly immigrant—based on the Survey of Shenzhen City. Academic Journal of Zhongzhou, 11, 7377.Google Scholar
Luan, W.J., Yang, F., Chuan, H.L. and Hu, H.W. (2012). Self-evaluation of mental health of the elderly in China and its influencing factors. Journal of Northwest University (Philosophy and Social Science Edition), 42, 7583.Google Scholar
Lv, J.J. (2002). On the institutional segmentation of labor market in China and the transfer of rural labor force. Social Science in Hubei, 9, 4446.Google Scholar
Ma, L.N. et al. (2010). Study on the relationship between familial factors and mental health in elderly people in Beijing. Practical Elderly Medicine, 24, 168170.Google Scholar
National Council on Aging (2016). Fact sheet: mature workers. Available at: https://www.ncoa.org/resources/fact-sheet-mature-workers/Google Scholar
Pan, Z.Q. (2007). Social network exclusion and development dilemma—based on the experience of migrant workers. Zhejiang Social Sciences, 2, 96103.Google Scholar
Robert, G., Martínez, J.M., García, A.M., Benavides, F.G. and Ronda, E. (2014). From the boom to the crisis: changes in employment conditions of immigrants in Spain and their effects on mental health. The European Journal of Public Health, 24, 404409.CrossRefGoogle ScholarPubMed
Shi, L. (2003). Research status and direction of work stress. Psychological Science, 26, 494497.Google Scholar
State Council Information Office of China (2014). White paper: progress in China’s human rights in 2013. Available at: http://www.chinanews.com/gn/2014/05-26/6211079.shtml.Google Scholar
Stokes, S.C., Thompson, L.W., Murphy, S. and Gallagher-Thompson, D. (2002). Screening for depression in immigrant Chinese-American elders: results of a pilot study. Journal of Gerontological Social Work, 36, 2744.CrossRefGoogle Scholar
Sun, Z.M., Chen, C.X. and Wang, Y.L. (2015). The mental health of the elderly based on different families support in the community. Chinese Journal of Gerontology, 35, 46714672.Google Scholar
Tian, M. (2013). High mobility of migrant workers in cities and its explanation. Journal of Tsinghua University (Philosophy and Social Sciences), 5, 214.Google Scholar
Wu, H.S. (2008). The influencing factors of agricultural labor participation in rural elderly—based on the empirical study of Jiangsu province. Issues in Agricultural Economy, 5, 96102.Google Scholar
Ye, M. and Chen, Y. (2014). The influence of domestic living arrangement and neighborhood identity on mental health among urban Chinese elders. Aging & Mental Health, 18, 4050.CrossRefGoogle ScholarPubMed
Yu, T.J. (2015). The social influencing factors of individual subjective social Status—the reality based on CLDS (2012) data. Population and Society, 31, 8997.Google Scholar
Zhang, W.D. (2002). Quality of life and mental health of the elderly in the community: SEM study, Psychological Science, 25, 307309.Google Scholar