Maternal trauma exposure is linked to adult offspring’s cognitive functioning in the context of mass violence.
Bibliographic record
Abstract
OBJECTIVE: This study aimed to examine whether mothers' level of trauma exposure and posttraumatic stress disorder (PTSD) symptoms are related to their offspring's cognitive functioning. METHOD: = 181) and one of their adult offspring were recruited in Rwanda. Mothers and their offspring answered questionnaires on sociodemographic information, the level of trauma exposure, and PTSD symptoms. They also performed a backward digit span task and a similarity task to assess their working memory and abstract reasoning, respectively. Hierarchical regression models were used to analyze the data. RESULTS: Mothers' level of trauma exposure, but not PTSD symptoms, was significantly related to their offspring's abstract reasoning performance after controlling for offspring's age, sex, and economic status. The relationship between mothers' level of trauma exposure, PTSD symptoms, and their offspring's working memory performance was not significant. Offspring's education was significantly linked to their working memory and abstract reasoning performance. CONCLUSIONS: The findings demonstrate that the intergenerational transmission of trauma can impact the cognitive functioning of the next generation. These results also illustrate the profound and long-term human impact of mass violence. (PsycInfo Database Record (c) 2026 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".