The association between generalized anxiety disorder and disordered eating symptoms among Lebanese adults with the moderating effect of self esteem
Bibliographic record
Abstract
Our study aims to assess the moderating effect of self-esteem in the association between generalized anxiety disorder and disordered eating symptoms among a sample of Lebanese adults. The study engaged a cohort of 629 participants, who were recruited in May 2023, utilizing a snowball sampling technique. Data were collected via a questionnaire that included socio-demographic variables and the following scales: the Generalized Anxiety Disorder Scale (GAD-5), the Eating Attitudes Test (EAT-7), and the Single Item Self-Esteem Scale (SISE). Higher GAD-5 scores (Beta = 0.01; p = .004) were significantly associated with higher EAT-7 scores. The interaction generalized anxiety disorder by self-esteem was also significantly associated with EAT-7 scores (Beta = - 0.003; p = .019), indicating that self-esteem moderates the relationship between GAD and disordered eating symptoms. At low (Beta = 0.006; p = .001) and moderate (Beta = 0.003; p = .007) levels of self-esteem, higher GAD-5 scores were significantly associated with higher EAT-7 scores (more severe disordered eating symptoms). In contrast, at high levels of self-esteem, the association was not significant (Beta = 0.001; p = .812), indicating that higher self-esteem may act as a protective factor, reducing the impact of GAD on disordered eating symptoms. While an association between anxiety and disordered eating symptomatology has been reported, this study adds to the body of literature by indicating that the strength of this association may vary with an individual's level of self-esteem, which underscores the importance of integrating self-esteem-building strategies into therapeutic interventions aimed at reducing disordered eating in individuals facing anxiety. Future studies would allow for a more dynamic and nuanced understanding of the causal pathways between anxiety, self-esteem, and eating behaviors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".