ArticleScientific reports2020
Machine learning to reveal hidden risk combinations for the trajectory of posttraumatic stress disorder symptoms.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Long-term mental health trajectories after the Great East Japan Earthquake: a systematic review.European journal of psychotraumatology · 2025Pooled it
- Posttraumatic Stress Dynamics and 15-Year Persistence in Great East Japan Earthquake Survivors.JAMA network open · 2026Article
- A scoping review of the use of artificial intelligence as a psychological assessment tool.Translational psychiatry · 2026Article
- Digital Twin Brain: Generating Multitask Behavior from Connectomes for Personalized Therapy.BME frontiers · 2026Article
- Associations between depressive symptoms and frequency, intensity, duration, and style of walking in survivors of the Great East Japan Earthquake.PCN reports : psychiatry and clinical neurosciences · 2025Article
- Longitudinal PTSD symptom trajectories: Relative contributions of state anxiety, depression, and emotion dysregulation.Journal of affective disorders · 2022Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
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Abstract
The nature of the recovery process of posttraumatic stress disorder (PTSD) symptoms is multifactorial. The Massive Parallel Limitless-Arity Multiple-testing Procedure (MP-LAMP), which was developed to detect significant combinational risk factors comprehensively, was utilized to reveal hidden combinational risk factors to explain the long-term trajectory of the PTSD symptoms. In 624 population-based subjects severely affected by the Great East Japan Earthquake, 61 potential risk factors encompassing sociodemographics, lifestyle, and traumatic experiences were analyzed by MP-LAMP regarding combinational associations with the trajectory of PTSD symptoms, as evaluated by the Impact of Event Scale-Revised score after eight years adjusted by the baseline score. The comprehensive combinational analysis detected 56 significant combinational risk factors, including 15 independent variables, although the conventional bivariate analysis between single risk factors and the trajectory detected no significant risk factors. The strongest association was observed with the combination of short resting time, short walking time, unemployment, and evacuation without preparation (adjusted P value = 2.2 × 10
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