Exploring Prospective Relationships of Emotion Regulation Difficulties With Eating Disorder Psychopathology and Eating‐Related Psychosocial Impairment Among Older Adults in China
Bibliographic record
Abstract
OBJECTIVE: Emotion regulation (ER) difficulties are a robust risk factor for eating disorder (ED) psychopathology. As symptoms are often overlooked or misattributed to ageing, these associations are unclear in older adults. This study investigated the longitudinal relationships between ER difficulties, ED psychopathology (e.g., thinness-oriented ED psychopathology and avoidant/restrictive food intake disorder [ARFID] symptoms), and eating-related psychosocial impairment among Chinese older adults. METHOD: An online sample of 551 Chinese adults aged 56-78 provided data at baseline (T1), and 202 older adults were retained 12 months later (T2). Cross-lagged models explored reciprocal associations between ER difficulties, both global ER difficulties and six unique dimensions, and eating-related variables. RESULTS: Global ER difficulties at T1 were related to higher ED psychopathology and eating-related psychosocial impairment at T2. For ER difficulties as six dimensions, lack of ability to manage one's impulse during negative emotions at T1 was uniquely related to higher ARFID symptoms and eating-related psychosocial impairment at T2. However, eating-related variables at T1 were not associated with global or any dimension of ER difficulties at T2. CONCLUSIONS: Results suggest unidirectional, prospective associations between ER difficulties and eating-related variables, underscoring the potential importance of ER-focused prevention and intervention strategies to improve eating behaviours and reduce psychosocial impairment in older adults.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".