Different Areas of Chronic Stress and Their Associations with Depression

Int J Environ Res Public Health. 2022 Jul 19;19(14):8773. doi: 10.3390/ijerph19148773.

Abstract

Background: Research shows a connection between stress and depression, but there is little differentiation between areas of stress, making it difficult to identify and address specific areas in the context of public health measures. We utilized a multi-dimensional approach to chronic stress to better understand the relationship between different areas of stress and depression.

Methods: We conducted linear regression analyses and used data from a sub-sample of the LIFE-Adult-Study (N = 1008) to analyze the connection between nine different areas of chronic stress (TICS) and depression (CES-D). In the second analysis, we controlled for sociodemographic variables, personality, physical activity, and social support.

Results: There was a significant positive association between the stress domains Excessive Demands from Work, Lack of Social Recognition, Social Isolation, and Chronic Worrying and depression and a significant negative association between Pressure to Perform and depression. After adding control variables, only Pressure to Perform, Social Isolation, and Chronic Worrying remained significant predictors.

Conclusions: By focusing on the connections between chronic stress and depression, researchers can help identify the areas that matter most and contribute to the creation of meaningful and efficient interventions. On the basis of our results, measures for the prevention of depression that focus on the reduction of worrying and social isolation are recommended.

Keywords: CES-D; TICS; chronic stress; depression; public mental health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety*
  • Depression* / epidemiology
  • Social Isolation
  • Social Support

Grants and funding

LIFE is funded by the European Union, the European Regional Development Fund (ERDF), and funds from the Free State of Saxony within the framework of the excellence initiative (project numbers 713-241202, 14505/2470, and 14575/2470). We thank the research teams and the participants of the LIFE-Adult-Study. We acknowledge support from Leipzig University for open access publishing.