International study of the perceived stress and psychological impact of the 7 October attacks on Holocaust survivors
Bibliographic record
Abstract
Objective: The terrorist attacks of 7 October 2023 in southern Israel had a significant impact on the mental health of Holocaust Survivors (HS), who are considered to be particularly vulnerable to traumatic events. The aim of the study was to assess the severity of perceived stress and the psychological impact of the 7 October attacks on HS.Methods: The study was conducted from 30 October to 15 December 2023 among HS who were contacted through HS support organisations (OSE, Aloumim). They completed a questionnaire consisting of four sections: socio-demographic data and experiences during the Holocaust, assessment of psychological stress using the Perceived Stress Scale (PSS-10), feelings of isolation, health consequences, and reactions to the 7 October attacks.Results: 171 HS completed the questionnaire with 61 males (35.7%) with a mean age of 86.6+/−4.4 years (min 79–max 97). 59.6%, lived outside Israel, mainly in France. The mean score on the PSS-10 was 17.7 +/−6.0 on a scale of 5 to 40. The average PSS 10 score is not significantly higher in cases of age ≤90 years (18.0 ± 6.0 vs 15.7 ± 6.4, NS), or for those living in Israel (17.2 ± 5.3 vs 18.1 ± 6.6, NS). About a quarter reported feelings of isolation or loneliness following the attacks. The impact of the 7 October attacks was particularly significant among those living outside Israel. Approximately two-thirds felt that the events had rekindled memories of their Holocaust experiences, and nearly one-third observed a decline in their health since the attacks. Among survivors living outside Israel, 86.6% expressed concern about the future safety and identity of their children and grandchildren as Jews.Conclusion: Identifying Holocaust survivors (HS) who are experiencing psychological distress is crucial to providing them with appropriate therapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".