Physical activity cancels the negative impact of adverse childhood experiences and depression on functional dependence
Bibliographic record
Abstract
Adverse childhood experiences, depression, and functional dependence are inter-related. However, mechanisms underlying this relation remain unclear. Here, we investigated the potential of depression to mediate the effect of adverse childhood experiences on functional dependence in older age and whether physical activity moderated this mediation. Data from 25,775 adults aged 62±9 years from the Survey of Health Ageing and Retirement in Europe (SHARE) was used in adjusted linear mixed-effect models to test whether depression mediated the associations between adverse childhood experiences and functional dependence in activities of daily living (ADL) and instrumental activities of daily living (IADL) and whether physical activity moderated these mediations. As expected, adverse childhood experiences were positively associated with ADL (b = .040 for 0 vs. 1 and b = .067 for 0 vs. ≥2 adverse childhood experiences) and IADL (b = .046 for 0 vs. 1 and b = .076 for 0 vs. ≥2 adverse childhood experiences). Both associations were mediated by depression. Physical activity reduced the effect of adverse childhood experiences on depression (b = -.060 for 0 vs. 1 and b = -.135 for 0 vs. ≥2 adverse childhood experiences) and canceled the effect of depression on functional dependence in ADL (b = .073) and IADL (b = .100), thereby eliminating the effect of adverse childhood experiences on functional dependence. Physical activity cancels the impact of adverse childhood experiences on functional dependence. In inactive individuals, the effect of adverse childhood experiences on functional dependence (ADL and IADL) is mediated by depression.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".