Childhood Adversity and Perceived Need for Mental Health Care
Bibliographic record
Abstract
Previous community surveys have demonstrated that individuals with self-perceived need for mental health treatment in combination with meeting DSM-III-R criteria display the greatest levels of impairment in the community and have a higher likelihood of reporting parental psychopathology. The current investigation aims to replicate and extend these findings by examining the association between a wide range of childhood adversities with self-perceived need for mental health treatment and DSM-III-R diagnosis in a Canadian community sample (N = 8116). All respondents were questioned about their childhood experiences (physical and sexual abuse, emotional neglect, parental discord/separation, parental death, and parental psychopathology). After controlling for covariates in a multiple logistic regression, we found that emotional neglect (OR = 2.07), physical abuse (OR = 2.16), sexual abuse (OR = 2.39), paternal psychopathology (OR = 2.41), and maternal psychopathology (OR = 2.70) were independently and significantly associated with respondents meeting DSM criteria for a mental disorder and perceiving a need for treatment. These findings underscore the importance of future longitudinal studies considering the influence of a wide range of early childhood adversities on adult psychopathology and perceived need for treatment.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".