Evaluation of sex differences in health-related quality of life outcomes associated with child abuse: Results from the Ontario Child Health Study
Bibliographic record
Abstract
AIMS: Despite the advances in child maltreatment research, there is still the need for comprehensive information about how abuse affects a broad range of categories of young adult functioning, and the extent to which these vary by sex. We examined the associations between child physical abuse (PA) and sexual abuse (SA) and six areas of functioning (mental health, physical health, life satisfaction, illegal substance use, alcohol problems and daily smoking). METHODS: Data were obtained from the 1983 Ontario Child Health Study and follow-up in 2000/2001 (n = 1893). Multilevel regression estimated the adjusted associations for PA (with severity) and SA with each of the outcomes. Estimates with an entire sample were presented with sex-by-abuse interactions to examine sex differences and then presented separately by sex. RESULTS: In the adjusted model, severe PA and SA were associated with impairment in mental health, and both forms of PA (severe and non-severe) and SA were associated with low life satisfaction. In addition, severe PA was associated with illegal substance use. Child abuse variables were not associated with poor physical health, alcohol problems or smoking. Although sex-stratified analyses revealed different patterns, there was no significant sex difference in the integrated sample. CONCLUSIONS: This is among the first community-based studies to show a strong association between child PA and SA and low life satisfaction in young adults. The abuse effects were similar for both sexes.
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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 | 0.052 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".