Specifying the Relations among PTSD Symptom Clusters and Parenting Stress in Mothers Engaged in Substance Use Treatment
Bibliographic record
Abstract
INTRODUCTION: Parenting stress is often heightened in mothers receiving treatment for substance use. Experiences of trauma are commonly seen in this population, which may give rise to Posttraumatic Stress Disorder (PTSD) symptoms, including intrusion, avoidance, negative cognition and mood, and affective arousal. While past research has demonstrated a significant relation between PTSD symptoms and parenting stress, no studies have examined the relative contributions of these symptoms to parenting stress in mothers engaged in substance use treatment. METHODS: Seventy-four mothers attending outpatient substance use treatment who were parenting children aged 0-3 years completed measures of parenting stress, PTSD, substance use, and depression symptoms. RESULTS: A canonical correlation analysis indicated two canonical variates accounting for significant variance between PTSD symptom clusters and parenting stress measures. The first canonical variate, primarily reflecting depressive and PTSD cognition and mood symptoms, was predominantly related to the parental distress aspect of parenting stress (40%). The second canonical variate, primarily reflecting intrusion and avoidance PTSD symptoms, was associated with increased parental perceptions of their child as difficult (10%). CONCLUSION: Future research directions and clinical implications of these results are discussed for designing parenting interventions with mothers attending substance use treatment who present with PTSD symptoms.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".