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Spatial Patterns Associating Low Birth Weight with Environmental and Behavioral Factors

International Journal of Public Health Science · Vol. 6 No. 1 (2017) · hlm. 33–44

DOI
10.11591/ijphs.v6i1.6530
ISSN
2620-4126, 2252-8806
Terbit
2017-03-01
Penerbit
Intelektual Pustaka Media Utama
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Low birth weight (LBW) is a significant public health problem in the world. It was estimated globally by the World Health Organization (WHO) that prevalence of LBW was 15% of all births. In Murung Raya district LBW cases remain high. This paper aimed to identify and discuss the relationship between environmental risk factors with LBW in Murung Raya.A spatial analysis was conducted with 150 women as the total participantswho were recruited through the incidence data in 2013-2014. The questionnaires, medical records, and geographic data were measured by Stata software, ArcGis, SatScan, and Geoda. The study results indicated there was significant correlation between health behavior and environmental variables with the strength of external neighborhood effect across LBW risk factors. More intense clustering of high values (hot spots) was found through the spatial analysis showing that most of the cases were located near the defined buffer zone. This research demonstrates that the spatial pattern analysis provided greater statistical power to detect an effect that was not apparent in the previous epidemiology studies.

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  • State University of Semarang
  • National University of Malaysia
  • Yogyakarta State University
  • Universitas Gadjah Mada
  • Diponegoro University
  • Hasanuddin University
  • Universitas Muhammadiyah Riau
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Rekan penulisOrganisasiArtikel bersama
Triyanto TriyantoAfiliasi tidak diketahui9
Agus CahyonoAfiliasi tidak diketahui8
Wahyu LestariYogyakarta State University6
Ani RusilowatiState University of Semarang6
Malarsih MalarsihAfiliasi tidak diketahui5
Udi UtomoAfiliasi tidak diketahui5
Wiyanto WiyantoState University of Semarang4
Projo DanoedoroUniversitas Gadjah Mada4
Sunarto SunartoAfiliasi tidak diketahui3
Totok Sumaryanto FlorentinusState University of Semarang3
Syakir SyakirAfiliasi tidak diketahui3
Restu LanjariAfiliasi tidak diketahui3
Sunyoto Eko NugrohoState University of Semarang3
Wadiyo WadiyoAfiliasi tidak diketahui2
Totok Sumaryanto FlorentinusAfiliasi tidak diketahui2
Ian YuliantiAfiliasi tidak diketahui2
Saiful RidloState University of Semarang2
Murbangun NuswowatiState University of Semarang2
Bambang SubaliAfiliasi tidak diketahui2
St. Budi WaluyaAfiliasi tidak diketahui2
Langlang HandayaniAfiliasi tidak diketahui2
Masturi MasturiHasanuddin University2
Muhammad KamalAfiliasi tidak diketahui2
Sugito SugitoAfiliasi tidak diketahui2
Supartono SupartonoAfiliasi tidak diketahui2
Sri Mulyani Endang SusilowatiAfiliasi tidak diketahui2
Ahmad FudholiNational University of Malaysia2
Abrar RidwanUniversitas Muhammadiyah Riau2
Rado YendraUniversitas Islam Negeri Sultan Syarif Kasim Riau2
Kamaruzzaman SopianNational University of Malaysia2
Ari Pani DesvinaAfiliasi tidak diketahui2
Majid Khan Bin Majahar AliAfiliasi tidak diketahui2
Budi UtomoDiponegoro University1
Darojatun FikriAfiliasi tidak diketahui1
Elly ArlianiAfiliasi tidak diketahui1
Novi SusantiAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

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 Patterns Associating Low Birth Weight with Environmental and Behavioral Factors</dc:title>
	<dc:creator>Donal, Donal</dc:creator>
	<dc:creator>Hartono, Hartono</dc:creator>
	<dc:creator>Hakimi, Mohammad</dc:creator>
	<dc:creator>Emilia, Ova</dc:creator>
	<dc:description xml:lang="en-US">Low birth weight (LBW) is a significant public health problem in the world. It was estimated globally by the World Health Organization (WHO) that prevalence of LBW was 15% of all births. In Murung Raya district LBW cases remain high. This paper aimed to identify and discuss the relationship between environmental risk factors with LBW in Murung Raya.A spatial analysis was conducted with 150 women as the total participantswho were recruited through the incidence data in 2013-2014. The questionnaires, medical records, and geographic data were measured by Stata software, ArcGis, SatScan, and Geoda. The study results indicated there was significant correlation between health behavior and environmental variables with the strength of external neighborhood effect across LBW risk factors. More intense clustering of high values (hot spots) was found through the spatial analysis showing that most of the cases were located near the defined buffer zone. This research demonstrates that the spatial pattern analysis provided greater statistical power to detect an effect that was not apparent in the previous epidemiology studies.</dc:description>
	<dc:publisher xml:lang="en-US">Intelektual Pustaka Media Utama</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2017-03-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:identifier>https://ijphs.iaescore.com/index.php/IJPHS/article/view/6530</dc:identifier>
	<dc:identifier>10.11591/ijphs.v6i1.6530</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Public Health Science (IJPHS); Vol 6, No 1: March 2017; 33-44</dc:source>
	<dc:source>2620-4126</dc:source>
	<dc:source>2252-8806</dc:source>
	<dc:source>10.11591/ijphs.v6i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijphs.iaescore.com/index.php/IJPHS/article/view/6530/12971</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 International Journal of Public Health Science (IJPHS)</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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