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Spatial analysis of stunting risk factors in Central Java, Indonesia: A geographically weighted regression approach (2023 data)

International Journal of Public Health Science · Vol. 15 No. 1 (2026) · hlm. 179–189

DOI
10.11591/ijphs.v15i1.26881
ISSN
2620-4126, 2252-8806
Terbit
2026-03-05
Penerbit
Intelektual Pustaka Media Utama
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The 2022 Indonesian Nutritional Status Survey (SSGI) reported a stunting prevalence of 20.8% in Central Java. Although various studies have examined its risk factors, few have applied a spatial perspective. This study aims to analyze regional variations in stunting risk factors and their contribution to rising stunting rates. This is a quantitative explanatory study employing the geographically weighted regression (GWR) method. Secondary data were obtained from the Central Java Health Profile and Badan Pusat Statistik Indonesia (BPS) in 2023, using a total sampling of 35 districts/cities. The GWR results indicated that chronic energy deficiency (CED; β = 0.0014, p = 0.068) and exclusive breastfeeding (β = 0.0791, p = 0.087) were marginally positively associated with stunting. Low birth weight (LBW) showed a significant positive association (β = 0.1009, p = 0.041), while access to improved sanitation had a strong negative effect (β = -0.1882, p = 0.004). Iron supplementation (≥90 tablets) was not significant (β = -0.0629, p = 0.134), whereas access to improved drinking water was positively and significantly correlated with stunting (β = 0.3778, p = 0.028). These findings contradict existing theories, particularly where higher rates of exclusive breastfeeding and access to clean water are unexpectedly associated with increased stunting in several regions. This suggests the need for further in-depth investigation in those areas to better understand the underlying factors.

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11 penulis · 21 tautan kepenulisan bersama · 7 lintas organisasi

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  • Universitas Dian Nuswantoro
  • Diponegoro University
  • Dr. Kariadi Hospital
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Suharyo SuharyoUniversitas Dian Nuswantoro2
Nur Azizha RamadhanyUniversitas Dian Nuswantoro1
Jaka PrasetyaUniversitas Dian Nuswantoro1
Via AyusasmitaUniversitas Dian Nuswantoro1
Baju WidjasenaDiponegoro University1
Evina WidianawatiUniversitas Dian Nuswantoro1
Widya Ratna WulanUniversitas Dian Nuswantoro1
Deddy SetiadiDr. Kariadi Hospital1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijphs.iaescore.com/index.php/IJPHS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Spatial analysis of stunting risk factors in Central Java, Indonesia: A geographically weighted regression approach (2023 data)</dc:title>
	<dc:creator>Anjani, Sylvia</dc:creator>
	<dc:creator>Agiwahyuanto, Faik</dc:creator>
	<dc:creator>Abiyasa, Maulana Tomy</dc:creator>
	<dc:description xml:lang="en-US">The 2022 Indonesian Nutritional Status Survey (SSGI) reported a stunting prevalence of 20.8% in Central Java. Although various studies have examined its risk factors, few have applied a spatial perspective. This study aims to analyze regional variations in stunting risk factors and their contribution to rising stunting rates. This is a quantitative explanatory study employing the geographically weighted regression (GWR) method. Secondary data were obtained from the Central Java Health Profile and Badan Pusat Statistik Indonesia (BPS) in 2023, using a total sampling of 35 districts/cities. The GWR results indicated that chronic energy deficiency (CED; β = 0.0014, p = 0.068) and exclusive breastfeeding (β = 0.0791, p = 0.087) were marginally positively associated with stunting. Low birth weight (LBW) showed a significant positive association (β = 0.1009, p = 0.041), while access to improved sanitation had a strong negative effect (β = -0.1882, p = 0.004). Iron supplementation (≥90 tablets) was not significant (β = -0.0629, p = 0.134), whereas access to improved drinking water was positively and significantly correlated with stunting (β = 0.3778, p = 0.028). These findings contradict existing theories, particularly where higher rates of exclusive breastfeeding and access to clean water are unexpectedly associated with increased stunting in several regions. This suggests the need for further in-depth investigation in those areas to better understand the underlying factors.</dc:description>
	<dc:publisher xml:lang="en-US">Intelektual Pustaka Media Utama</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-03-05</dc:date>
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	<dc:identifier>https://ijphs.iaescore.com/index.php/IJPHS/article/view/26881</dc:identifier>
	<dc:identifier>10.11591/ijphs.v15i1.26881</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Public Health Science (IJPHS); Vol 15, No 1: March 2026; 179-189</dc:source>
	<dc:source>2620-4126</dc:source>
	<dc:source>2252-8806</dc:source>
	<dc:source>10.11591/ijphs.v15i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijphs.iaescore.com/index.php/IJPHS/article/view/26881/14709</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Sylvia Anjani, Faik Agiwahyuanto, Maulana Tomy Abiyasa</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>