Risk and protective factors for posttraumatic stress and posttraumatic growth in parents of children with intellectual and developmental disorders
Bibliographic record
Abstract
Background: Parents of children with intellectual and developmental disorders often experience potentially traumatic events while caring for their children. Heightened posttraumatic stress (PTS) and posttraumatic growth (PTG) have been found in this population.Objective: We aimed to explore risk and protective factors for their PTS and PTG.Method: A cross-sectional study was conducted with 385 parents (average age M = 43.14 years, SD = 7.40; 95.3% mothers).Results: Parenting trauma showed an adverse effect on developing PTS (beta = 0.25, p < .01) and a positive role in promoting PTG (beta = 0.16, p < .01). Social support was protective in its correlation with lower levels of PTS (beta = −0.12, p < .01) and higher levels of PTG (beta = 0.22, p < .01). Barriers to care were associated with increased PTS (beta = 0.23, p < .01), but unrelated to PTG (beta = .01, p = .855). Negative parenting showed a significant, but small, correlation with more severe PTS (beta = 0.11, p < .05), and was unrelated to PTG (beta = −0.09, p = .065).Conclusions: Our study increases the understanding of posttraumatic reactions in parents, predominantly mothers, of children with IDD and identified parenting-related trauma, social support, and barriers to mental health care as predictive factors of the reactions. More research is needed to confirm and validate the effects of the discussed factors. Although causation can not be inferred, prompt and adequate screening and therapeutic resources should be provided to those mothers who were exposed to multiple stressful caregiving events and had limited healthcare access and less support from their spouses, peers, and caregiving partners.HIGHLIGHTS Parents of a child with Intellectual and Developmental Disorders with parenting trauma had higher posttraumatic stress (PTS) and posttraumatic growth (PTG).Social support was related to lower PTS and higher PTG.Barriers to care were related to higher PTS but unrelated to PTG.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".