ArticleInternational journal of environmental research and public health2021
Iodine Deficiency Disorders as a Predictor of Stunting among Primary School Children in the Aseer Region, Southwestern Saudi Arabia.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 12 citations in OpenAlex.
- Nutraceutical Interventions in Stunting: Advances, Challenges, and Prospects.Food science & nutrition · 2026Review
- Double burden of malnutrition among children under five years in Saudi Arabia: a cross-sectional study of prevalence and determinants.Frontiers in nutrition · 2026Article
- Understanding Stunting: Impact, Causes, and Strategy to Accelerate Stunting Reduction-A Narrative Review.Nutrients · 2025Review
- Prevalence of Iodine Deficiency among School Children from New Settlement in Kyrgyzstan.Children (Basel, Switzerland) · 2021Article
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9 authors at 1 institution in 1 country.
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Abstract
objectivesTo investigate the present occurrence of stunting and explore the role of iodine deficiency disorders (IDDs) as a predictor of stunting among primary school children in the Aseer Region.
methodsIn a cross-sectional investigation on school children in the Aseer region, thyroid enlargement was evaluated clinically. Urine was collected to evaluate iodine content.
resultsThe present study involved 3046 school-age pupils. The study disclosed a total goiter rate of 24.0% (95% CI: 22.5-25.5%). The median urinary iodine content (UIC) was 17.0 µg/L. A prevalence of stunting (height for age z score of less than -2) of 7.8% (95% CI: 6.9-8.8%) was found. In a logistic regression model, pupils having clinical goiter (aOR = 1.739; 95% CI: 1.222-2.475) and students having UIC of less than 17 µg/L (aOR = 1.934; 95% CI: 1.457-2.571) were considerably related with stunting. In the receiver operating characteristic (ROC) curve, urinary iodine content to forecast stunting was good (AUC = 0.611, 95% CI: 0.594-0.629). The curve recognized the optimum cutoff point of urinary iodine content to be ≤19.0 µg/L. The sensitivity was 59.66% (95% CI: 53.1-66.0) and the specificity was 57.62% (95% CI: 55.8-59.5).
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