Comorbidity Between Internalizing Symptoms and Disordered Eating Is Primarily Driven by Genetic Influences on Emotion Regulation in Adult Female Twins
Why this work is in the frame
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Bibliographic record
Abstract
Internalizing (e.g., anxiety, depression) and disordered eating (DE; e.g., binge eating, dietary restraint) are highly comorbid, but the mechanisms underlying their comorbidity remain unknown. This was the first twin study to examine whether their co-occurrence may be driven by genetic and/or environmental influences on emotion regulation (ER; ability to modulate duration/intensity of emotions). Analyses included 688 adult female twins from the Michigan State University Twin Registry. Cholesky decomposition twin models showed that comorbidity between dimensionally modeled internalizing and DE was due to overlapping genetic ( r = .55; 69.3% of shared variance) and nonshared environmental influences ( r = .26; 30.7% of shared variance). When ER was added into the model, all genetic influences shared between internalizing and DE were attributable to ER, suggesting genetic influences on ER are the primary driver of comorbidity between internalizing and DE. Shared genes may shape affective processing, interoceptive sensitivity, or other brain-based processes (e.g., cognitive control) implicated in ER.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it