TY - JOUR
T1 - Spatial Analysis of Stunting Prevalence According to Family Data Collection Indicators in Indonesia
AU - Devi, Yuli Puspita
AU - Herdayati, Milla
AU - Makful, Martya Rahmaniati
AU - Muthmainnah, Muthmainnah
AU - Ekoriano, Mario
AU - Ruwandasari, Nurvita
AU - Mardiah, Kholifatul
N1 - Publisher Copyright:
© 2025, Muhammadiyah Palu University. All rights reserved.
PY - 2025/3
Y1 - 2025/3
N2 - 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.
AB - 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.
KW - Child Health
KW - Family Data Collection
KW - Spatial Analysis
KW - Spatial Error Model
KW - Stunting
UR - http://www.scopus.com/inward/record.url?scp=86000531269&partnerID=8YFLogxK
U2 - 10.56338/mppki.v8i3.6931
DO - 10.56338/mppki.v8i3.6931
M3 - Article
AN - SCOPUS:86000531269
SN - 2597-6052
VL - 8
SP - 210
EP - 220
JO - Media Publikasi Promosi Kesehatan Indonesia
JF - Media Publikasi Promosi Kesehatan Indonesia
IS - 3
ER -
