Highly variable suicidal ideation: a phenotypic marker for stress induced suicide risk
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Suicidal behavior (SB) can be impulsive or methodical; violent or not; follow a stressor or no obvious precipitant. This study tested whether childhood trauma, affective lability, and aggressive and impulsive traits predicted greater SI variability. We also assessed whether affective lability, aggressive or impulsive traits explain childhood trauma's effects on SI variability and whether those with highly variable SI respond to stressful events with increases in SI. Finally, we assessed variable SI's trajectory over 2 years. Depressed participants (n = 51) had ecological momentary assessments (EMA) over 7 days at baseline, 3, 6, 12, 18, and 24 months. SI variability was assessed using the square Root of the Mean Square of Successive Deviations. Mixed Effects Models were fit as appropriate. Childhood trauma was associated with subsequent aggression. Physical abuse predicted both aggression and affective lability as well as SI variability, but not impulsivity. In two-predictor models, physical abuse's effect on SI variability was no longer significant, when controlling for the effect of higher aggression and impulsivity. Those with high SI variability exhibited greater increases in SI after stressors compared with those with less variability. We did not find that SI variability changed over time, suggesting it might be trait-like, at least over 2 years. Variable SI predisposes to marked SI increases after stressful events and may be a trait increasing risk for impulsive SB, at least over 2 years.
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Newer theories suggest a subtype of individuals with highly variable SI may be at particular risk for suicidal behavior in times of stress.
“newer theories of suicide risk suggest that a subtype of individuals who report highly variable SI may be at particular risk for suicidal behavior in times of stress (Oquendo et al., 2021).”
From Clinical indicators of the suicide crisis and response to ketamine (2025) · cites this paper as Oquendo et al., 2021
Pseudo-random sampling schedules were most frequently used (57%, n = 13), followed by fixed sampling (26%, n = 6), and combined fixed and pseudo-random sampling (13%, n = 3).
“(pseudo)random sampling schedules were most frequently used [57%, n = 13 (42, 47, 51, 58, 61, 65, 69, 71, 79, 83, 85, 86, 88)], followed by fixed sampling [26%, n = 6 (45, 66, 67, 72, 80, 82)], and protocols that combined both fixed and (pseudo)random sampling [13%, n = 3 (47, 56, 60)].”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [65]
Those with higher mean suicidal ideation across the EMA period experienced more variability.
“Those with higher mean ideation (per person, across EMA period) experienced more variability (47, 65, 66).”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [65]
The test-retest reliability of EMA-assessed within-person suicidal ideation variability (RMSSD) was high across 24 months.
“The test-retest reliability of EMA-assessed within-person suicidal ideation variability (as estimated by the Root Mean Square of the Successive Differences, RMSSD) was high across 24 months (65).”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [65]
Compliance rates were not significantly related to suicide history or current depressive symptom or suicidal ideation severity.
“Compliance rates were not significantly related to suicide history or current depressive symptom or suicidal ideation severity (65, 66, 71, 85, 88).”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [65]
The notion that suicidal ideation variability may index suicide risk is tentatively supported by findings of higher variability among patients with more severe ideation, those with a prior suicide attempt history, and by higher EMA variability predicting attempts at 1-month follow-up.
“This notion is tentatively supported by findings of higher suicidal ideation variability among patients with more severe suicidal ideation (47, 65, 66), as well as those with a prior suicide attempt history (66), and by higher EMA suicidal ideation variability predicting attempts at 1-month follow-up (79).”
From Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research (2022) · cites this paper as [65]
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- Authors
- Oquendo, M. A., Galfalvy, H. C., Choo, T.-H., Kandlur, R., Burke, A. K., Sublette, M. E., Miller, J. M., Mann, J. J., & Stanley, B. H.
- Affiliations
- Columbia University (US)
- New York State Psychiatric Institute (US)
- ORCID
- Venue
- Molecular Psychiatry
- Published
- 2020-06-23
- Volume
- 26
- Issue
- 9
- Pages
- 5079-5086
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- PMC
- PMC7755748
- OpenAlex
- W3035825417
- Cited by
- 76
- References
- 30
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 14 · 2023: 5 · 2022: 19 · 2021: 8 · 2020: 2
- FWCI
- 3.40
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Molecular Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (MH090964)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- suicidal ideation, childhood trauma, physical abuse, emotional lability, aggression, impulsivity, depression, phenotypic markers, trait stability
- MeSH terms
- Aggression, Humans, Impulsive Behavior, Risk Factors, Suicide, Suicide, Attempted, Biomarkers, Suicidal Ideation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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