Relationship between Health Workers' Body Mass Index, Emotional Eating, And Uncontrolled Eating
Why this work is in the frame
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Bibliographic record
Abstract
Background: Obesity and overweight are significant public health concerns globally, with healthcare professionals being particularly vulnerable due to high job demands and stress. The relationship between body mass index (BMI), job stress, and eating behaviors remains underexplored in this population, despite evidence linking workplace stress to unhealthy eating habits and weight gain. Methods: This study, conducted over three months , assessed the relationship between BMI, job stress, and eating behaviors among 400 male and female healthcare professionals. Participants were classified into normal, overweight, and obese BMI categories based on measured weight and height. Data were collected using the Brief Job Stress Questionnaire and the Adult Eating Behaviour Questionnaire (AEBQ). Statistical analysis, including descriptive statistics and Spearman’s rank correlation, was performed using SPSS version 28, with a significance threshold of p ≤ 0.05. Results: Among the participants, 230 had normal BMI, 110 were overweight, and 60 were classified as obese (class 1 and class 2). Physiotherapists reported the highest levels of job stress, particularly in the normal BMI category, while dental professionals experienced the least. Eating behaviors were elevated in 260 participants, with mean AEBQ scores varying across BMI categories. Despite the high prevalence of job stress and altered eating behaviors, the correlation between BMI, job stress, and eating behavior was weak and not statistically significant. Conclusion: The study highlights that while job stress and unhealthy eating behaviors are prevalent among healthcare professionals, their direct correlation with BMI remains inconclusive. Lifestyle factors such as physical activity and dietary habits may play a more critical role in influencing BMI, underscoring the need for targeted interventions to promote healthier lifestyles in this population.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it