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Aim <p>Unemployed individuals are more often affected by depression, and their mental health can benefit from (re)integration into the labor market. However, the reduced level of psychosocial functioning associated with depression can prevent them from (re)entering working life. In order to better understand these mechanisms, we analyze the associations between unemployment, social network size, anxiety, somatization, and global level of functioning (GLoF).</p> Subject and methods <p>Our study is based on a sample from LIPSY, a project that aims to maintain or restore the employability of unemployed people with mental illness. Two regression analyses were conducted on a sample of participants diagnosed with depression (International Classification of Diseases, 10th Revision [ICD-10] code: F32/F33) with the outcome variable GLoF (Global Assessment of Functioning [GAF]). In the first analysis, age, gender, education, living with a partner, and depression (Mini-Symptom Checklist [MSCL]) were used as predictors; in the second analysis, social network size (Lubben Social Network Scale [LSNS-6]), unemployment duration, anxiety, and somatization (MSCL) were added.</p> Results <p>Our sample included 286 unemployed individuals with depression, with an average age of 36.1&#xa0;years and an average GAF of 48.5; 50.3% were female. The final regression showed a significant positive association between social network size and GLoF, and a significant negative association between anxiety and GLoF. There were no significant associations between either unemployment duration or somatization and GLoF.</p> Conclusion <p>Participants exhibited high levels of social isolation and anxiety as well as connections between both and GLoF, highlighting the importance of psychological screening/diagnostics in this high-risk group and the need for targeted prevention measures and therapeutic tools.</p>

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Global level of functioning among unemployed individuals diagnosed with depression

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年4月24日

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  • Felix S. Hussenoeder,
  • Maria Koschig,
  • Steffi G. Riedel-Heller,
  • Alexander Pabst,
  • Katharina Gatzsche,
  • Luise Bieler,
  • Mathias Alberti,
  • Katarina Stengler,
  • Ines Conrad

摘要

Aim

Unemployed individuals are more often affected by depression, and their mental health can benefit from (re)integration into the labor market. However, the reduced level of psychosocial functioning associated with depression can prevent them from (re)entering working life. In order to better understand these mechanisms, we analyze the associations between unemployment, social network size, anxiety, somatization, and global level of functioning (GLoF).

Subject and methods

Our study is based on a sample from LIPSY, a project that aims to maintain or restore the employability of unemployed people with mental illness. Two regression analyses were conducted on a sample of participants diagnosed with depression (International Classification of Diseases, 10th Revision [ICD-10] code: F32/F33) with the outcome variable GLoF (Global Assessment of Functioning [GAF]). In the first analysis, age, gender, education, living with a partner, and depression (Mini-Symptom Checklist [MSCL]) were used as predictors; in the second analysis, social network size (Lubben Social Network Scale [LSNS-6]), unemployment duration, anxiety, and somatization (MSCL) were added.

Results

Our sample included 286 unemployed individuals with depression, with an average age of 36.1 years and an average GAF of 48.5; 50.3% were female. The final regression showed a significant positive association between social network size and GLoF, and a significant negative association between anxiety and GLoF. There were no significant associations between either unemployment duration or somatization and GLoF.

Conclusion

Participants exhibited high levels of social isolation and anxiety as well as connections between both and GLoF, highlighting the importance of psychological screening/diagnostics in this high-risk group and the need for targeted prevention measures and therapeutic tools.