Childhood Maltreatment and Body Mass Index in Older Adults With Chronic Illness
Bibliographic record
Abstract
Background Childhood trauma has been associated with greater psychological and physical morbidity, including a greater risk of developing coronary artery disease (CAD). Emotional dysregulation and increased body mass index (BMI) may be involved. This study evaluated whether (1) childhood maltreatment is associated with higher BMI at study onset and with greater increases in BMI 5 years later among older adults with CAD or other chronic illnesses; (2) sex and/or CAD status moderate these results; and (3) baseline symptoms of anxiety, depression, and perceived stress (emotional dysregulation) mediate the association between childhood maltreatment and BMI at follow-up. Methods A total of 1232 men and women (aged 60.86 [6.95] years) completed validated questionnaires on childhood maltreatment and symptoms of psychological distress. Weight in kilograms and participant's height were collected, and the participant's BMI was calculated using the ratio of weight (kg)/height (m 2 ). Results Childhood maltreatment was not significantly associated with BMI at study onset nor at follow-up. This relation did not differ as a function of sex nor CAD status. While childhood maltreatment was associated with significantly greater psychological distress at study onset (all ps<.001), the latter was not found to mediate this relation at follow-up. Conclusion In contrast to previous literature, childhood maltreatment was not associated with BMI nor with change in BMI over five years in men and women suffering from chronic disease. However, since psychological distress increases risk for morbidity and mortality, it may represent an important target for prevention and intervention in survivors of childhood maltreatment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".