Substantiated Childhood Maltreatment and Intimate Partner Violence Victimization in Young Adulthood: A Birth Cohort Study
Bibliographic record
Abstract
Little is known about the associations between various types of childhood maltreatment and multiple forms of intimate partner violence victimization in early adulthood. This study examines the extent to which childhood experiences of maltreatment increase the risk for intimate partner violence victimization in early adulthood. Data for the present study are from 3322 young adults (55 % female) of the Mater Hospital-University of Queensland Study of Pregnancy with the mean age of 20.6 years. The Mater Hospital-University of Queensland Study of Pregnancy is a prospective Australian pre-birth cohort study of mothers consecutively recruited during their first antenatal clinic visit at Brisbane's Mater Hospital from 1981 through to 1983. Participants completed the Composite Abuse Scale at 21-year follow-up and linked this dataset to agency recorded substantiated cases of childhood maltreatment. In adjusted models, the odds of reporting emotional intimate partner violence victimization were 1.84, 2.64 and 3.19 times higher in physically abused, neglected and emotionally abused children, respectively. Similarly, the odds of physical intimate partner violence victimization were 1.76, 2.31, 2.74 and 2.76 times higher in those children who had experienced physical abuse, sexual abuse, neglect and emotional abuse, respectively. Harassment was 1.63 times higher in emotionally abused children. The odds of severe combined abuse were 3.97 and 4.62 times greater for emotionally abused and neglected children, respectively. The strongest associations involved reports of child emotional abuse and neglect and multiple forms of intimate partner violence victimization in young adulthood. Childhood maltreatment is a chronic adversity that is associated with specific and multiple forms of intimate partner violence victimization in adulthood.
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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 | 0.001 | 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) | 0.000 | 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".