Child Abuse and Health-Related Quality of Life in Adulthood
Bibliographic record
Abstract
Past research has indicated that child abuse is related to mental and physical health conditions and that mental and physical health conditions are related to decreased health-related quality of life (HRQOL). However, little is known about the independent relationship between child abuse and HRQOL. For the current analysis, data were from the nationally representative Netherlands Mental Health Survey and Incidence Study. Multiple linear regression analyses tested the relationships between child abuse and current HRQOL (SF-36) after adjusting for the effects of sociodemographic variables and numerous psychiatric disorders and physical health conditions. Neglect, psychological abuse, physical abuse, severe sexual abuse, and number of types of child abuse experienced were associated with reduced mental HRQOL. Psychological abuse, physical abuse, and number of types of child abuse experienced were associated with reduced physical HRQOL. Child abuse is an important determinant of HRQOL. The ability to successfully reduce the occurrence of child abuse or provide early intervention after child abuse occurs may help to improve HRQOL in the general population.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".