Spatial Analysis of Stunting Prevalence According to Family Data Collection Indicators in Indonesia

Introduction: Stunting is malnutrition in children that reduces productivity and susceptibility to degenerative diseases. In 2021, West Java Province recorded the highest stunting prevalence on Java Island. We analyzed the distribution and risk factors for the prevalence of stunting in the West Java Province by considering spatial effects. Methods: This study was ecologically designed using a spatial approach. Data were obtained from Studi Status Gizi Indonesia/Indonesian Nutritional Status Study and Pendataan Keluarga/Family Data Collection, which will be released in 2021 especially in West Java. Data analysis was conducted using a spatial error model (SEM) in GeoDa, and stunting prevalence mapping was performed using QGIS (Quantum geographic information system) 2.1.8 version. Results: No spatial correlation was identified for stunting prevalence in West Java Province in 2021. However, a spatial correlation was observed in the residual value of the determinants of stunting prevalence. SEM analysis showed that the proportion of low-income families, inadequate drinking water sources, unmet needs, inactive Bina Keluarga Balita/Toddler Family Development, unwanted pregnancies, family planning, and limited access to internet-based information had a significant effect on stunting prevalence. Conclusion: This study provides suggestions for increased focus on addressing environmental problems in rural areas and overcoming poverty in all districts/cities in West Java Province which was the province with the highest number of population.

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Publication Details

Journal
Media Publikasi Promosi Kesehatan Indonesia (MPPKI)
Published
2025-03-06
DOI
https://doi.org/10.56338/mppki.v8i3.6931
Citations
1
Primary Topic
Public Health and Nutrition
Type
article
Field-Weighted Citation Impact
3.49
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article

Spatial Analysis of Stunting Prevalence According to Family Data Collection Indicators in Indonesia

Martya Rahmaniati Makful, Nurvita Ruwandasari, Mario Ekoriano, Milla Herdayati et al.
1 citations
Media Publikasi Promosi Kesehatan Indonesia (MPPKI)
Public Health and Nutrition
3.49
article

Spatial Analysis of Stunting Prevalence According to Family Data Collection Indicators in Indonesia

Martya Rahmaniati Makful, Nurvita Ruwandasari, Mario Ekoriano, Milla Herdayati, Yuli Puspita Devi, Muthmainnah Muthmainnah, Kholifatul Mardiah
article en
1 citations

Abstract

Introduction: Stunting is malnutrition in children that reduces productivity and susceptibility to degenerative diseases. In 2021, West Java Province recorded the highest stunting prevalence on Java Island. We analyzed the distribution and risk factors for the prevalence of stunting in the West Java Province by considering spatial effects. Methods: This study was ecologically designed using a spatial approach. Data were obtained from Studi Status Gizi Indonesia/Indonesian Nutritional Status Study and Pendataan Keluarga/Family Data Collection, which will be released in 2021 especially in West Java. Data analysis was conducted using a spatial error model (SEM) in GeoDa, and stunting prevalence mapping was performed using QGIS (Quantum geographic information system) 2.1.8 version. Results: No spatial correlation was identified for stunting prevalence in West Java Province in 2021. However, a spatial correlation was observed in the residual value of the determinants of stunting prevalence. SEM analysis showed that the proportion of low-income families, inadequate drinking water sources, unmet needs, inactive Bina Keluarga Balita/Toddler Family Development, unwanted pregnancies, family planning, and limited access to internet-based information had a significant effect on stunting prevalence. Conclusion: This study provides suggestions for increased focus on addressing environmental problems in rural areas and overcoming poverty in all districts/cities in West Java Province which was the province with the highest number of population.

Media Publikasi Promosi Kesehatan Indonesia (MPPKI)Vol. 8(3)
Universitas Airlangga (ID), University of Indonesia (ID), National Nuclear Energy Agency of Indonesia (ID), National Research and Innovation Agency (ID)
Zero hunger
Openalex Percentile: Top 11%
Public Health and Nutrition
3.49
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