Protein-energy Malnutrition in Goitrous Schoolchildren of Isfahan, Iran.
Bibliographic record
Abstract
BACKGROUND: Some studies have shown the possible role of protein-energy malnutrition (PEM) in persistence of endemic goiter in iodine replenished areas. The present study was conducted to assess the association between PEM and goiter in schoolchildren of Isfahan, Iran. METHODS: In a cross-sectional study using multistage cluster random-sampling, 2331 schoolchildren with age ranged from 6-13 years old with a female to male ratio of 1.60 were enrolled. Thyroid size was examined by two endocrinologists for goiter detection. Children were considered goitrous if they had palpable or visible goiters according to World Health Organization (WHO)/United Nations children's Fund/International Council for the Control of Iodine Deficiency criteria. Weight and standing height were measured using the standard tools and anthropometric indices were calculated using the WHO AnthroPlus software developed by the World Health Organization. Height-for-age Z-scores (HAZ), weight-for-age Z-scores (WAZ) and body mass index (BMI) for age were calculated for each child. Children with a HAZ, WAZ or BMI-for-age of Z-score < -2.0 were classified as stunted, underweight or thin, respectively. Blood samples were drowned to measure serum thyroid hormones. RESULTS: Overall, 32.9% of subjects were classified as goitrous. Weight, height, BMI, WAZ and BMI-for-age Z-score were significantly lower in children with goiter than in children who did not have goiter (P < 0.05). The prevalence of goiter in thin children was higher than that in non-thin ones (48.4 vs. 31.6%, odds ratio [OR]: 2.02, 95% confidence interval [CI]: 1.52-2.69, P < 0.001). Although 33.4% of non-stunted children were goitrous, 31% of stunted ones had goiter (P = 0.5). According to the logistic regression model taking sex and age as covariates, the only significant parameter affecting palpable goiter detection was thinness (OR = 2.13, 95% CI: 1.22-3.69, P < 0.001). CONCLUSIONS: In the present study, we found a high prevalence of goiter in children who were malnourished. It seems that PEM may play a role in the still high prevalence of goiter in this region.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".