<p>Epidemiology of General, Central Obesity and Associated Cardio-Metabolic Risks Among University Employees, Ethiopia: A Cross-Sectional Study</p>
Bibliographic record
Abstract
BACKGROUND: Evidence suggests that middle and low-income countries such as Ethiopia are facing the growing epidemic of both communicable and non-communicable diseases creating a burden on their economy and healthcare system. The increasing prevalence of non-communicable diseases is attributed to sedentarism, lifestyle changes, nutritional transition, and the presence of other cardiometabolic risk factors. Therefore this study was designed to assess the prevalence and association of overweight, obesity, and cardio-metabolic risks and to explore if there was any agreement among the anthropometric measurements among the academic employees of the University of Gondar, Ethiopia. METHODS: An institutional-based cross-sectional study was conducted using the WHO stepwise approach and recommendations on 381 academic staff of the university. In addition, physical measurements such as weight, height, waist and hip circumferences, and biochemical measures such as blood pressure and fasting blood glucose level (peripheral blood samples by finger puncture) were measured using standardized tools. RESULTS: The mean age of the participants was 33.5 (95% CI: 32.7, 34.2) years. The prevalence of obesity among the study participants calculated by body mass index, waist circumference (WC), waist-height ratio (WHtR), and waist-hip ratio (WHR) was 13.1%, 33.6%, 51.9%, and 58.5% respectively. The prevalence of diabetes was 4.7% among which 1.3% was not diagnosed prior to this study. About 53 (13.9%) of the study sample were found to be hypertensive (HTN) (6.3% known versus 29 7.6% newly diagnosed). Among the participants, 39.4% and 23.4% were found to be pre-hypertensive and pre-diabetic respectively. WC was significantly associated with hypertension (AOR = 5.14; 2.503, 9.72), pre-DM (AOR = 4.03; 2.974, 5.96), DM (AOR = 3.29; 1.099, 6.01). In addition, WHtR was significantly associated with Pre-HTN (AOR = 2.69; 1.49, 4.58), HTN (AOR = 2.066; 1.008, 6.31), and DM (AOR = 1.855; 0.76, 4.32). On the contrary, both WHR and general obesity measured by BMI were not significantly associated with pre-HTN, HTN, pre-DM and DM groups. CONCLUSION: This study results revealed the variable prevalence between general obesity and the anthropometric indices (IDF cutoff) defining central obesity; WC, WHtR, and WHR among the participants. The result of this study suggests that the constructs of central obesity, not BMI has to be used to screen risks of cardio-metabolic risks among Ethiopians.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".