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October 2, 2025Journal of Mathematics Computations and StatisticsOpen Access

Stunting Risk Factor Analysis Using Seemingly Unrelated Regression (SUR) Integrated with Machine Learning

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Authors

WWWiwik WiyantiAZAmanatullah Pandu ZenklinovJSJacob Stevy Seleki

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Overview

Seemingly unrelated regression highlights key risk factors of stunting in children, suggesting targeted interventions.

Key Points

  • Stunting is significantly influenced by factors such as nutrition, socio-economics, and maternal history.
  • Animal protein consumption once or twice a week shows an 87.5% probability of reducing stunting risk.
  • Parents' sources of income significantly affect stunting, with over 90% probability linked to employment type.
  • Mother's intake of iron-boosting tablets during pregnancy correlates with an 84% lower stunting probability.

Cite This Study

Wiyanti et al. (2025) studied this question.

synapsesocial.com/papers/68de5d9c83cbc991d0a20456https://doi.org/10.35580/jmathcos.v8i2.9630
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Analysis of Environmental Factors and Parenting of Pregnant Women on the Development of Stunted Children2025
  2. 2Stunting among toddlers in poor Indonesian households2025
  3. 3Multifaced Approach in Reducing Stunting in Semarang Municipality: a Policy Brief2025 · 1 citations
  4. 4Factors Influencing the Incidence of Stunting in Children at Tilamuta Community Health Center2025
  5. 5Sociodemographic Factors and Parenting Patterns Related to Stunting in Children Under Five Years in Pekanbaru, Indonesia: A Structural Equation Modeling Analysis2025 · 2 citations