The Associations Between Adverse Childhood Experiences, Physical and Mental Health, and Physical Activity: A Scoping Review
Bibliographic record
Abstract
BACKGROUND: Adverse childhood experiences (ACEs) may be associated with worse physical and mental health in adulthood, and low physical activity engagement, but the relationships are not fully understood. OBJECTIVES: To establish the scope of the literature exploring associations between ACEs, physical activity, and physical and mental health. METHODS: We conducted this scoping review according to PRISMA-ScR guidelines. We searched MEDLINE, Scopus, SPORTDiscus, and PsycInfo for relevant articles. RESULTS: Eighteen studies were included, 17 observational and 1 randomized controlled trial. The majority of studies were cross-sectional and employed self-reported physical activity and ACE measures. Six studies explored physical health, 9 explored mental health, and 3 explored both. Associations between ACEs and poor physical health outcomes (poor self-reported physical health, inflammation, high resting heart rate, and obesity) were consistently weaker or attenuated among those who were physically active. Physical activity may also moderate the associations between ACEs and depressive symptoms, psychological functioning, and health-related quality of life. CONCLUSION: Associations between ACEs and poor physical and mental health were observed in those with less frequent physical activity engagement, though the majority of evidence relies on cross-sectional observational designs with self-report instruments. Further research is required to determine whether physical activity can prevent or treat poor physical and mental health in the presence of ACEs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".