Acculturation and Emotional Eating Among Arabic Middle Eastern Women in the United States
Bibliographic record
Abstract
Obesity is a substantial problem that occurs worldwide and is highly associated with increased risks of chronic diseases such as Type II diabetes mellitus, cardiac-related diseases, hypertension, and some cancers. Middle Eastern cultures have one of the highest rates of overweight and obesity, estimated to be the second highest worldwide. The purpose of this study was to examine the relationship among stress, depression, emotional eating, and weight gain in Middle Eastern women, specifically Arabs, who have moved to the United States, using a quantitative approach. The theoretical foundation was psychosomatic theory, which explains the connection between psychological problems and emotional eating. This theory suggests that mental conditions increase the chances of overeating among people who find food rewarding. An online survey was used to collect data from a convenience sample of approximately 150 participants using demographics, Cohen’s Perceived Stress questionnaire, the Hamilton Depression Rating Scale, the Vancouver Index of Acculturation questionnaire, and the 25-item Emotional Eating Scale. Arabic Middle Eastern women were focused on in this study to understand whether mental changes such as stress, depression, and acculturation may increase overeating because of moving to the United States. The findings, although they did not reach significance, may promote positive social change by showing the need for more medical practitioners who understand how better to treat Arabic Middle Eastern women who suffer from obesity as well as help these women to identify factors that may contribute to their overeating and subsequent weight gain.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".