Kleiman2018 - Digital Phenotyping of Suicidal Thoughts

• Type:#article
• Date read: 2023-02-15
• Subject: Suicide ecological momentary assessment
• Bibtex: @kleiman2018
• Bibliography: Kleiman, E. M., Turner, B. J., Fedor, S., Beale, E. E., Picard, R. W., Huffman, J. C., & Nock, M. K. (2018). Digital phenotyping of suicidal thoughts. Depression and Anxiety, 35(7), 601–608. https://doi.org/10.1002/da.22730

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Example citation §

The mean level and variability of suicidal ideation identified subgroups of individuals with a previous suicide attempt

Key takeaways §

• The data is the same as in Kleiman2017 - Examination of Real-Time Fluctuations in Suicidal Ideation and Its Risk Factors, Results From Two Ecological Momentary Assessment Studies
• Their aim was to find distinct phenotypes of suicidal thinking. They used latent profile analysis.
  • frequency/intensity/variability
• Here again they used the RMSSD technique to get within-individual variability. Also:
  • Mean scores over time
  • Within-person SD
  • Maximum score
  • Percent of prompts with a non-zero score on suicidal thoughts
  • RMSSD
• After getting the profiles they checked group differences using ANOVA or chi2 for suicide history variables
• Groups:
  • 1 - low mean, low variability
  • 2 - low mean, moderate variability
  • 3 - moderate mean, high variability
  • 4- high mean, low variability
  • 5 - high mean, high variability

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They did analyses in MPlus but there’s an R package called tidyLPA