Parental Influence on Child Mental Health Post-Hurricane Harvey
Bibliographic record
Abstract
Purpose: Many children who face natural disasters experience significant mental health consequences. Parents play a prominent role in the likelihood of child mental health outcomes after a weather-related disaster. This study aimed to examine the relationship between parent risk factors and children's psychological well-being post Hurricane Harvey. Methods: Parents (n = 140) completed a survey that measured hurricane exposure, parental depression and anxiety, parenting behaviors, and assistance given and received during or after Hurricane Harvey. Additionally, parents were asked to complete questionnaires assessing one of their children's post-disaster psychosocial functioning and distress. Results: Results indicated that heightened parent anxiety was significantly associated with an increased risk for emotional symptoms, conduct problems, and hyperactivity-inattention symptoms in children. Additionally, inconsistency in parental discipline was significantly associated with an increased risk of child conduct problems. Further, higher numbers of assistance types received by parents-a proxy indicator of resource loss-was associated with higher child emotional distress scores. Conclusions: Broader systems-level interventions that address parents' physical and emotional needs may help mitigate maladaptive reactions in children and facilitate greater post-disaster psychosocial adjustment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".