Ilam Lipid and Glucose Study: A cross-sectional Epidemiologic Study
Bibliographic record
Abstract
Development of urbanization and alteration in the lifestyle and age structure of the population (aging) increase the risk of non-communicable diseases (cardiovascular disease, diabetes, and stroke). The aim of this study was to evaluate blood glucose and lipid profile, and also estimate the percentage of people with lipids and fasting blood glucose disorders in the city of Ilam. This research is a retrospective study. Therefore, in this study data collecting was performed from clinical laboratories in Ilam from 2006 to 2012. The sample size was determined by the Woodward's formula and all the statistical analyzes were performed using the SPSS-18 software. The results showed that the average amount of cholesterol, triglycerides, FBG, HDL-C, and LDL-C was equal to 181 ± 21, 151 ± 17, 86 ± 7, 61 ± 8, and 21 ± 3 mg/dl, respectively. Also 25.2% of participants have Cholesterol disorder, 20.3% triglyceride disorder, 12.1% impaired fasting glucose, 18% HDL-C disorder, and 15.8% LDL-C disorder. This study shows that the mean level of FBG and lipid profile in Ilam is almost identical to the normal values in western societies. Also, the prevalence of impaired FBG and plasma lipids disorders were relatively high in this city. Given these results, a health plan should be developed and the necessary training must be given to the people to reduce of these disorders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".