Associations of threat and deprivation-related childhood exposures with children’s mental health and flourishing: The moderating role of family resilience
Bibliographic record
Abstract
Introduction The association of adverse childhood experience (ACE) with physical and mental well-being is predominantly examined using a cumulative ACE score. However, less is known how different dimensions of adversity (e.g., threat and deprivation) may uniquely predict children’s mental health and development. We examined (i) whether two aspects of ACE – threat and deprivation – are differently associated with children’s anxiety, depression, and flourishing and (ii) whether family resilience and connection index (FRCI) moderates these associations. Methods We analyzed data from the National Survey of Children’s Health (2017–20). The analytic sample consisted of 81,626 children (6–17 years). Logistic regression with survey weights was used to obtain odds ratios (OR) and 95 % confidence intervals (CI) adjusting for sociodemographic factors. Results The experience of threat-only ACE and deprivation-only ACE showed differential associations with anxiety, depression, and child flourishing. For example, children who experienced threat-only ACE had a 4.2-fold higher odds of depression (OR=4.2; 95 % CI: 3.37–5.24), and those who experienced deprivation-only ACE had a 2.4-fold (OR=2.4; 95 % CI: 1.98–2.92) higher odds of depression compared to those exposed to neither threat nor deprivation experience. Experiencing both a threat and deprivation showed larger than an additive association with all outcomes. Further, interaction models suggest that the associations of threat and deprivation-type ACE with all outcomes significantly differed by the levels of FRCI. Conclusions Threat and deprivation dimensions of adversity were differentially associated with mental health and flourishing outcomes in childhood. Family resilience appears to be protective against the negative effect of threat and deprivation dimensions of ACE on children’s mental health and developmental outcomes.
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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 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".