Child Maltreatment and Educational Attainment in Young Adulthood
Bibliographic record
Abstract
There is increasing evidence for the adverse effects of child maltreatment on academic performance; however, most of these studies used selective samples and did not account for potential confounding or mediating factors. We examined the relationship between child physical abuse (PA; severe and non-severe) and sexual abuse (SA) and educational attainment (years of education, failure to graduate from high school) with a Canadian community sample. We used data from the Ontario Child Health Study (N = 1,893), a province-wide longitudinal survey. Potential confounding variables (family socio-demographic and parental capacity) and child-level characteristics were assessed in 1983, and child abuse was determined in 2000-2001 based on retrospective self-report. Results showed that PA and SA were associated with several factors indicative of social disadvantage in childhood. Multilevel regression analyses for years of education revealed a significant estimate for severe PA based on the unadjusted model (-0.60 years, 95% CI = [-0.45, -0.76]); estimates for non-severe PA (0.05 years, CI = [-0.15, 0.26]) and SA (-0.25 years, CI = [-0.09, -0.42]) were not significant. In the adjusted full model, the only association to reach significance was between severe PA and reduced years of education (-0.31 years, CI = [-0.18, -0.44]). Multilevel regression analyses for failure to graduate from high school showed significant unadjusted estimates for severe PA (OR = 1.77, 95% CI = [1.21, 2.58]) and non-severe PA (OR = 1.61, CI = [1.01, 2.57]); SA was not associated with this outcome (OR = 1.40, CI = [0.94, 2.07]). In the adjusted full models, there were no significant associations between child abuse variables and failure to graduate. The magnitude of effect of PA on both outcomes was reduced largely by child individual characteristics. These findings generally support earlier research, indicating the adverse effects of child maltreatment on educational attainment. Of particular note, severe PA was associated with reduced years of education after accounting for a comprehensive set of potential confounding variables and child characteristics.
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".