The relationships of change in work climate with changes in burnout and depression: a 2-year longitudinal study of Chinese mental health care workers

Abstract

Mental health care workers face heavy emotional demand and are prone to work burnout. Work burnout has been associated with poor mental health and work climate, which refers to individual perceptions about work setting. The purpose of this study was to examine whether intra-individual changes in work climate were associated with intra-individual changes in burnout and depression over two years. The present sample included Chinese mental health care workers (N = 312; mean age = 38.6, SD = 9.9) working in a psychosocial rehabilitation institution. The participants completed questionnaires on work climate, work burnout and depression at seven time points across two years. Parallel process latent growth modeling was used to analyze the associations of change between work climate and burnout and depression. Work climate displayed a logarithmic decreasing trend while burnout and depression displayed logarithmic increasing trends over two years. Baseline levels of work climate were negatively and moderately associated with baseline levels of burnout and depression (r = −.44 to −.60, p < .01). Changes in work climate were negatively and moderately associated with change in burnout (r = −.43, p < .01) and change in depression (r = −.31, p < .05). Change in burnout was positively and strongly associated (r = .58, p < .01) with change in depression. The current results support temporal relationships among changes in work climate, burnout and depression across time. Practical implications for future preventive work in burnout interventions were discussed within this population.

Keywords:

• Latent growth modeling
• change
• longitudinal analysis
• organizational climate
• mental health

Acknowledgments

We would like to thank the Providence Garden for Rehab of Hong Kong Sheng Kung Hui Welfare Council Limited for their help in data collection and the organizational newcomers for their participation in the study. We would like to thank Mr Ryder Chan for his support and help in this study.

Disclosure statement

The authors declare that they have no conflict of interest