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Indian Journal of Public Health Research & Development
Year : 2019, Volume : 10, Issue : 10
First page : ( 764) Last page : ( 768)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2019.02908.5

Does Stunting Randomly Occurred in Indonesia: Spatial Analysis of Indonesia's Basic Health Survey 2018

Tiopan Sipahutar1,*, Tris Eryando2

1PhD Candidate, Health Informatic and Biostatistics at Public Health Faculty, University of Indonesia, Jl. Lingkar Kampus Raya, Universitas Indonesia, Kota Depok, Jawa Barat

2Lecture of Health Informatic and Biostatistics at Public Health Faculty, University of Indonesia, Jl. Lingkar Kampus Raya, Universitas Indonesia, Kota Depok, Jawa Barat

*Corresponding Author: Sipahutar, Tiopan, PhD candidate of Public Health; University of Indonesia, Indonesia. Public Health Department, University of Indonesia; Jl. Lingkar Kampus Raya, Universitas Indonesia, Kota Depok, Jawa Barat, 16424 Tel. 021-7864975 fax 021-7864975, email: tiopansipahutar@gmail.com

Online published on 23 December, 2019.

Abstract

Background

Indonesia is still facing stunting in children under five. Although in 2018 stunting prevalence decreased but it remains high (30.8%). The vastness of Indonesian Country which consists of 34 provinces and 514 districts resulted the difference in population characteristics between province, districts and sub district as well as differences in health issues in each region are important to consider in reducing stunting in addition to the funding requirements needed. Therefore, Indonesian government needs to determine the priority area for stunting intervention. This study is intended to find the relationship between location and stunting prevalence and “hotspot” areas in Indonesia.

Method

the study used aggregate data analysis of Indonesia Basic Health Survey 2018. Moran's I used to identify the correlation between location and stunting prevalence. Local Indicators of Spatial Association (LISA) was used to define the hotspot area of stunting. We used R software to process the data.

Results

There was a significant relationship between location and stunting prevalence with Moran's I= 0.143 (p-value 0.027). We found that Bangka-Belitung, South Sulawesi, West Sulawesi, Yogyakarta and East Nusa Tenggara were the hotspot areas for stunting in Indonesia.

Conclusion

There was a significant relationship between location and stunting prevalence in Indonesia; it means that stunting is not randomly occurred in Indonesia. Bangka-Belitung, South Sulawesi, West Sulawesi, Yogyakarta and East Nusa Tenggara that defined as the hotspot areas of stunting in Indonesia must be prioritized for intervention.

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Keywords

Stunting, spatial analysis, Indonesia, stunting hotspot.

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