The Association between Changes in Coronary Artery Calcium Scores, Dietary Intake, Physical Activity, and Depression Symptoms among the Population of Gaza Strip, Palestine
Bibliographic record
Abstract
BACKGROUND: This study aimed to identify the association between macronutrient intake, physical activity, and depressive symptoms and changes in coronary artery calcium score among the population of Gaza Strip. METHOD: The study sample consisted of 269 individuals who underwent non-enhanced coronary computed tomography using 64-slice MDCT (Siemens, Germany) at Al-Shifa medical complex between September 2017 and January 2018. The study participants were divided into two groups; group one, consisting of coronary calcium calcification scoring (CAC) of greater than zero (CAC score > 0), and group two, CAC less than or equal to zero (CAC score ≤ 0). Data about macronutrient intake, physical activity, and depressive symptoms were collected using a validated self-administered questionnaire. Additionally, the participants' anthropometric characteristics and blood biochemical markers were measured. RESULTS: Out of 269 participants, 45-recorded CAC score > 0; 72% of them were males with a mean age of 52.6 ± 5.4 years. Significant differences between the two groups in terms of total energy, lipid intake, and carbohydrate were found (P-value of 0.020, 0.012, and 0.034, respectively). No significant differences were recorded in protein intake, physical activity, and depression. Multivariate logistic regression analysis under adjustment for possible confounding factors revealed that macronutrient intake, physical activity, and depressive symptoms were not associated with the development of CAC in two models. CONCLUSION: Based on our findings, macronutrient intake, physical activity, and depressive symptoms are not associated with the development of CAC among the population of Gaza.
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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 | 0.002 | 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 | 0.000 | 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".