Parenting‐related trauma exposure among parents of children with intellectual and developmental disorders: Development and validation of the Parenting Trauma Checklist
Bibliographic record
Abstract
Parents of children with intellectual and developmental disorders (IDDs) often encounter parenting-related traumatic events. Trauma exposure is a risk factor for mental health problems, including posttraumatic stress disorder (PTSD). Little is known regarding the types of traumatic events that parents commonly experience and how to best assess parenting-related trauma exposure. To address this gap, we developed the Parenting Trauma Checklist (PTC) and tested its psychometric properties. The PTC was created based on an extensive literature review and consultation with stakeholders, which led to the creation of a 17-item instrument. Participants (N = 424) were Canadian parents of children with IDDs who completed an online test battery that included the PTC and several questionnaires to assess PTSD symptoms, global mental and physical health, lifetime trauma exposure, and functional impairment, which were included to test the validity of the new instrument. The PTC demonstrated good construct validity. Ninety four percent of the sample reported parenting-related trauma exposure. Parents reported having experienced an average of 5.79 parenting-related traumatic events, with seeing their child undergo a medical procedure the most frequently endorsed event (68.6%). Experiencing more parenting-related traumatic events was positively associated with higher PTSD symptom levels, r = .35, p < .001. The PTC is a promising instrument that can be used to examine parenting-related trauma exposure. The measure can be used as a screening tool to detect parents' risk of traumatic stress disorders, evaluate traumatic experiences, and assess whether trauma-focused treatment is warranted.
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 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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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 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".