Prevalence and correlates of health anxiety among medical students: a cross-sectional study from the United Arab Emirates
Bibliographic record
Abstract
Abstract Background It is often reported that medical students repeatedly develop health anxiety related to the diseases that they are studying. To the best of our knowledge, health anxiety has not been investigated in medical students in the United Arab Emirates (UAE). Therefore, we aimed to investigate the prevalence of health anxiety among a sample of medical students attending the United Arab Emirates University (UAEU). We conducted a cross-sectional study of 193 undergraduate medical students (68 males, 125 females) across the 6 years of the College of Medicine at the UAEU. Students were screened for health anxiety using the Short Health Anxiety Inventory (SHAI). Results Eighteen students (9.3%) reached the threshold for clinically significant health anxiety on the SHAI (score ≥ 27). There was no statistically significant difference between those with and those without health anxiety in age, gender, place of origin, or year of study. There was a statistically significant difference ( p < 0.05) between the two groups as regards a past history of medical or mental health conditions influencing their choice of college. No specific student demographic or background characteristics significantly predicted the occurrence of clinically significant health anxiety. Conclusions Health anxiety was prevalent in a significant proportion of subjects in our sample (almost one in every ten students). Individual experiences of medical and mental illness may play a role in the development of health anxiety and in the choice of studying medicine.
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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) | 0.000 | 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) | 0.000 | 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".