Cardiometabolic Risk Factors and Associated Features in 5th Grade Schoolchildren in Ouagadougou, Burkina Faso (West Africa)
Bibliographic record
Abstract
The onset of cardiometabolic risk factors in childhood may be tracked into adulthood. However, little is known about such risk factors particularly in African schoolchildren. We conducted in Ouagadougou the capital city of Burkina Faso (West Africa) a cross-sectional study in 5th grade pupils of 12 schools (4 private and 8 public of which 2 were periurban). Weight, height, and blood pressure (BP) were measured and fasting serum lipids and glycaemia were determined. Sample mean age was 11.8±1.4 y (207 children, 51% girls). Mean total cholesterol (TC), LDL-C, HDL-C and triglycerides were 133.9, 83.5, 45.1 and 67.1 mg/dl, respectively; glycaemia stood at 87.9±7.1 mg/dl. Systolic (SBP) and Diastolic Blood Pressure (DBP) were 103.2 and 62.3 mmHg respectively. The main risk factor was low HDL-C (19.3%) followed by high TC and LDL-C (11.6% each). Elevated SBP and DBP were 9.7% and 4.3%, respectively. Being a girl was independently associated with increased serum lipids including HDL-C paradoxically. BMI was independently associated with increased BP. While attending a private school was independently associated (p<0.01) with higher HDL-C and lower TG and DBP, attending urban (vs periurban) school and higher age were independently associated with lower HDL-C. A sizeable proportion of children exhibited cardiometabolic risk factors and therefore, preventive measures would appear timely in low income country schoolchildren, and not only strategies targeting malnutrition
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".