Network modeling of anxiety and psychological characteristics on suicidal behavior: Cross-sectional study

• DOI: 10.1016/j.jad.2021.12.050
• Publication Date: 2021-12-21T16:13:42Z
• Authors: Eunyoung Lee; Helmet Karim; Carmen Andreescu; Akiko Mizuno; Howard Aizenstein; Heirim Lee; Dongyun Lee; Kyungmin Lee; Sun-Mi Cho; Doyeop Kim; Rae Woong Park; Sang Joon Son; Bumhee Park
• Keywords: Cross-sectional study; Suicidal Behavior

Suicide is influenced by complex interactions among various psychopathological features. We aimed to examine the relationship between suicide risk and psychological factors such as defense mechanisms, personality, anxiety.We established a psychiatric database utilizing Observational Medical Outcomes Partnership Common Data Model. conducted 1:1 propensity score matching with age, sex, depression severity, identified sample (n = 258) two groups: those suicidal behavior non-suicidal behavior. Using principal component analysis, we extracted nine scales applied network analysis compare relationships groups.Patients behaviors showed associations trait anxiety while did not. For patients ideation there was an association somatization anxiety. Patients attempts paranoia dissociation connected anxiety.Longitudinal research required fully observe transitions from recurrent events. In addition, these networks may not generalize because group participants are homogeneous. Lastly, data self-report questionnaires limits reliability of responses.We presented important new insights on estimating networks. exhibit discrete mechanisms anxiety, compared show distinct