What question did this study set out to answer?

To review and compare methodologies for evaluating adverse childhood experiences (ACE) to establish optimal assessment algorithms within the psychiatric biopsychosocial model.

July 5, 2025V M BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGYOpen Access

Adverse childhood experiences: terms, concepts, and study methods

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Authors

DSDiana S. Shumskaia ATA.V. Trusova АКА.О. Кибитов

Discussion

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Overview

Review uncovers varied assessment methods for adverse childhood experiences in psychiatric populations, highlighting the need for standardized biopsychosocial modeling to predict suicide risk.

Key Points

To review and compare methodologies for evaluating adverse childhood experiences (ACE) to establish optimal assessment algorithms within the psychiatric biopsychosocial model.
Reviewed theoretical concepts, definitions, and phenomenological frameworks characterizing adverse childhood experiences.
Analyzed current measurement tools, grading methodologies, and predictive modeling strategies assessing ACE in relation to psychiatric conditions and suicide risk.
Identified that the lack of a universally accepted assessment protocol for ACE limits the reproducibility and comparability of findings across psychiatric research.
Observed that accurate risk forecasting in conditions such as depression, schizophrenia, and bipolar disorder requires integrating ACE severity within a biopsychosocial framework that evaluates gene-environment interactions.

Cite This Study

Shumskaia et al. (2025) studied this question.

synapsesocial.com/papers/6a0feaf290ecb39bf65fb7f6 https://doi.org/10.31363/2313-7053-2025-3-1058

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July 5, 2025V M BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGYOpen Access

Adverse childhood experiences: terms, concepts, and study methods

View Full Paper

Ask AI

Bookmark

Authors

DSDiana S. Shumskaia ATA.V. Trusova АКА.О. Кибитов

Discussion

Member takes

Overview

Review uncovers varied assessment methods for adverse childhood experiences in psychiatric populations, highlighting the need for standardized biopsychosocial modeling to predict suicide risk.

Key Points

To review and compare methodologies for evaluating adverse childhood experiences (ACE) to establish optimal assessment algorithms within the psychiatric biopsychosocial model.
Reviewed theoretical concepts, definitions, and phenomenological frameworks characterizing adverse childhood experiences.
Analyzed current measurement tools, grading methodologies, and predictive modeling strategies assessing ACE in relation to psychiatric conditions and suicide risk.
Identified that the lack of a universally accepted assessment protocol for ACE limits the reproducibility and comparability of findings across psychiatric research.
Observed that accurate risk forecasting in conditions such as depression, schizophrenia, and bipolar disorder requires integrating ACE severity within a biopsychosocial framework that evaluates gene-environment interactions.

Cite This Study

Shumskaia et al. (2025) studied this question.

synapsesocial.com/papers/6a0feaf290ecb39bf65fb7f6 https://doi.org/10.31363/2313-7053-2025-3-1058

View Full Paper

Ask AI

Bookmark