Emotional eating in women with generalized anxiety disorder
Bibliographic record
Abstract
INTRODUCTION: Individuals diagnosed with generalized anxiety disorder (GAD) seek pleasurable foods to avoid their negative emotional experiences. Ineffective regulation of negative emotions may be a risk factor for emotional eating (EE), leading to suffering, dysfunctional behaviors, and weight gain. OBJECTIVES: The aim of this study is to understand the relationship between emotional dysregulation and EE, investigating potential mediators such as the intensity of the worry, avoidance of internal experiences, mindfulness, and self-compassion in female patients with anxiety. METHODS: In this cross-sectional study, participants from a randomized clinical trial diagnosed with GAD answered the following instruments at baseline: the Difficulties in Emotion Regulation Scale (DERS), the Three Factor Eating Questionnaire (TFEQ-R21), the Penn State Worry Questionnaire (PSWQ), the Action and Acceptance Questionnaire (AAQ), the Five Facet Mindfulness Questionnaire (FFMQ), and the Self-Compassion Scale (SCS). We estimated Pearson correlation coefficients and performed mediation analyses. RESULTS: We evaluated 51 female individuals, 34 of whom completed all the questionnaires. Our data showed that EE was positively correlated with emotional dysregulation (r = 0.593; p < 0.001), worry trait (r = 0.402; p = 0.018), and avoidance of internal experiences (r = 0.565; p < 0.001), whereas it was negatively correlated with self-compassion (r = -0.590; p < 0.001) and mindful state (r = -0.383; p = 0.026). Moreover, we demonstrated that self-compassion mediates the relationship between emotional dysregulation and EE (ab product estimate = 0.043, 95% confidence interval [95%CI] 0.003-0.084). CONCLUSION: Our findings contribute to the literature by identifying psychological factors that could mediate the association between emotional dysregulation and EE, enabling identification of more effective eating behavior intervention targets for patients with GAD.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.084 | 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".