The Relationship Between Childhood Physical Abuse and Suicidality Among Depressed Women: Results From a Community Sample
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to examine the distribution and determinants of suicidal ideation and suicide attempts in a community sample of women with major depressive disorder. Variables of interest included childhood physical abuse, individual and familial psychiatric history, and sociodemographic factors. METHOD: Women (age 15 to 64 years) from a community sample who met criteria for major depressive disorder (lifetime prevalence) (N=347) were assessed with a modified version of the Composite International Diagnostic Interview. Childhood physical abuse history was collected through a self-administered questionnaire. RESULTS: Approximately one-quarter (23.9%, N=83) of the women with major depressive disorder reported that they had made a suicide attempt, and more than half (55.6%, N=193) had experienced suicidal ideation. A history of suicide attempt was most strongly related to the number of comorbid psychiatric disorders (odds ratio=2.04, 95% confidence interval [CI]=1.21-3.43). Suicidal ideation was most strongly associated with a history of childhood physical abuse (odds ratio=2.77, 95% CI=1.26-6.12). CONCLUSIONS: Suicidal ideation and suicide attempts were reported frequently by women with a history of major depressive disorder. Correlates for suicide attempts showed some differences from those for ideation. This finding is of clinical importance, since it relates to the identification of individuals at risk for suicidal behavior.
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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".