BMC Nursing (Oct 2024)

Anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence: a network analysis

  • Huimin Wei,
  • Mengqi Liu,
  • Zhiwei Wang,
  • Wenran Qu,
  • Simeng Zhang,
  • Bingyan Zhang,
  • Peiyun Zhou,
  • Zongke Long,
  • Xiaorong Luan

DOI
https://doi.org/10.1186/s12912-024-02408-8
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 11

Abstract

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Abstract Background Horizontal violence can cause serious mental health problems for nurses, particularly anxiety, depression, and post-traumatic stress disorder. However, the intrinsic linkage mechanism between mental symptoms of anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence is unclear. This study aims to elucidate the characteristics of anxiety, depression, and post-traumatic stress disorder networks among nurses with horizontal violence exposure. Methods Data for this cross-sectional study were obtained from the baseline portion of a short longitudinal survey conducted at four tertiary hospitals in Shandong Province, China. A total of 510 nurses with horizontal violence exposure completed the General Information Scale, the Negative Acts Questionnaire, the Seven-item Generalized Anxiety Disorder Scale, the Nine-item Patient Health Questionnaire, and the Four-item SPAN. The network model was constructed using network analysis. The expected influence and the bridge expected influence of nodes were calculated. The stability and accuracy of the network were estimated. Results The results show that A4 (Trouble relaxing) and P1 (Startle) had the highest expected influence in the network. D9 (Suicidality ideation) and A5 (Restlessness) were the key bridge symptoms. Conclusions “Trouble relaxing”, “Startle”, “Suicidality ideation”, and “Restlessness” are all mental symptoms that need to be urgently improved the most in nurses exposed to horizontal violence. Nursing administrators and policymakers should implement mental health intervention programs for these symptoms as early as possible to maximize nurses’ mental health.

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