A Systematic Review of the Peer-Reviewed Literature on Self-Blame, Guilt, and Shame
Bibliographic record
Abstract
This is the first systematic review of the evidence on the prevalence of self-blame, guilt, and shame in bereaved parents. A search of PsychINFO, MEDLINE, Embase, CINAHL, PubMed, and Science Direct resulted in 18 studies for the period 1975 to 2013 which the authors have appraised. Self-blame, guilt, and shame are common in bereaved parents, albeit to varying degrees, with differential relationships to sex, and diminishing over time. There is some evidence that guilt and shame predict more intense grief reactions and that self-blame predicts posttraumatic symptomology, anxiety, and depression in bereaved parents. Heterogeneity of the studies and numerous methodological concerns limit the synthesis and strength of the evidence and the generalizability of the findings. Self-blame, guilt, and shame are commonly experienced by bereaved parents. Awareness of these affective states may assist clinicians in the identification of bereaved parents who are at a higher risk of developing adverse psychological outcomes. Overall, self-blame, guilt, and shame have received very little attention in the bereavement research, leaving many unanswered questions. Implications for practice and recommendations for future research are discussed.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".