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Factors Influencing Stunting Incidence in Toddlers in Kendari City, Indonesia: A Spatial Regression Analysis in 2024 Pertiwi, Tria Saras; Nurmalasari, Mieke; Qomarania, Witri Zuama; Juliani, Kurnia Dwi; Supryatno, Adi
Jurnal Kesehatan Vol 17 No 1 (2026): Jurnal Kesehatan
Publisher : Poltekkes Kemenkes Tanjung Karang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26630/jk.v17i1.5571

Abstract

Stunting is a serious global health issue, including in Indonesia. This study aimed to analyze factors influencing stunting incidence among toddlers in Kendari City, Indonesia, using a spatial regression approach. This study employed a descriptive ecological design using secondary data from the Kendari City Health Office in 2024 across 11 sub-districts. Spatial analysis was conducted using a Queen contiguity weighting matrix. The results showed that Moran's I value was not statistically significant (p>0.05), indicating weak global spatial autocorrelation. However, Lagrange Multiplier tests revealed that the LM-Lag and Robust LM-Lag were significant (p<0.05), suggesting the presence of spatial dependence. Therefore, the Spatial Autoregressive (SAR) model was selected. The SAR model demonstrated better performance compared to the OLS model (AIC=83.20; R²=97.91%). Significant factors influencing stunting incidence included the number of toddlers, low birth weight (LBW), unmonitored child growth, lack of complementary feeding (MP-ASI), incomplete basic immunization, and lack of additional nutritional intake. These findings highlight the importance of spatial-based interventions in addressing stunting at the sub-district level.