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Beyond one-size-fits-all suicide prediction: Studying idiographic associations of risk factors for suicide in a psychiatric sample using ecological momentary assessment

  • Jannis Kraiss*
  • , Heide Glaesmer
  • , Thomas Forkmann
  • , Lena Spangenberg
  • , Nina Hallensleben
  • , Dajana Schreiber
  • , Inken Höller
  • *Corresponding author for this work

    Research output: Contribution to journal › Article › Academic › peer-review

    224 Downloads (Pure)

    Abstract

    The Interpersonal Psychological Theory of Suicide (IPTS) states that thwarted belongingness (TB), perceived burdensomeness (PB), and hopelessness are risk factors for suicidal ideation. This ecological momentary assessment (EMA) study aimed to (1) demonstrate that there is substantial between-person variability in the association between IPTS predictors and suicidal ideation, (2) identify clusters of patients for which the predictors differently predict suicidal ideation, and (3) examine whether identified clusters are characterized by specific patient characteristics. EMA data were collected ten times per day for six days in 74 psychiatric inpatients and was analyzed with dynamic structural equation modelling. Idiographic associations were obtained and clustered using k-means clustering. We found substantial between-person variability in associations between IPTS predictors and suicidal ideation. Four distinct clusters were identified and different risk factors were relevant for different clusters. In the largest cluster (n = 36), none of the IPTS predictors predicted suicidal ideation. Clusters in which associations between IPTS variables and suicidal ideation were stronger showed higher suicidal ideation, depression, and lower positive affect. These findings suggest that a one-size-fits-all model may not adequately reflect idiosyncratic processes leading to suicidal ideation. A promising avenue might be to use idiographic approaches to personalize prediction and interventions.

    Original languageEnglish
    Pages (from-to)130-138
    Number of pages9
    JournalJournal of Psychiatric Research
    Volume178
    DOIs
    Publication statusPublished - Oct 2024

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • UT-Hybrid-D
    • Idiographic analyses
    • IPTS
    • Perceived burdensomeness
    • Suicidal ideation
    • Thwarted belongingness
    • Hopelessness

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