Making a link between childhood physical abuse and cancer
Bibliographic record
Abstract
BACKGROUND: Abuse in childhood is associated with many negative adult health outcomes. Only 1 study to date has found an association between childhood abuse and cancer. By using a regionally representative community sample, this preliminary study sought to investigate the association between childhood physical abuse and cancer while controlling for 3 clusters of risk factors: childhood stressors, adult health behaviors, and adult socioeconomic status. METHODS: Regional data from the Canadian provinces of Manitoba and Saskatchewan were selected from the 2005 Canadian Community Health Survey. Of the 13,092 respondents, 7.4% (n = 1025) reported that they had been physically abused as a child by someone close to them, and 5.7% (95% confidence interval [CI], 4.9-6.6) reported that they had been diagnosed with cancer by a health professional. The regional level response rate was 84%. RESULTS: Childhood physical abuse was associated with 49% higher odds (95% CI, 1.10-2.01) of cancer when adjusting for age, sex, and race only. The odds ratio decreased only slightly to 47% higher odds (95% CI, 1.05-1.99) when the model was adjusted for all 3 clusters of risk factors. CONCLUSIONS: A significant and highly stable association between childhood physical abuse and cancer was found even when adjusting for 3 clusters of risk factors. Further research focusing on the potential mechanisms linking childhood abuse and cancer is needed.
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 | 0.000 | 0.000 |
| 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 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".