Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority.

IF 1 4区医学 Q4 HEALTH CARE SCIENCES & SERVICES

Geospatial Health Pub Date : 2022-05-17 DOI:10.4081/gh.2022.1055

T. Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, K. Siregar, Muhammad Nur Aidi, Minarto Minarto, D. Utari, Martya Rahmaniati, H. Hendarwan

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引用次数: 3

Abstract

While the national prevalence of stunting in Indonesia has decreased, the level remains high in many districts/cities and there is significant variation. This ecological study employed aggregated data from the Basic Health Research Report and the District/City Poverty Data from 2018. We investigated the determinants of stunting prevalence at the district/city level, including autocorrelation applying the spatial autoregressive (SAR) model. The analyses revealed stunting prevalence above the national average in 282 districts/cities (54.9%), i.e. ≥30% in 297 districts/cities (57.8%) and ≥40% in 91 districts/cities (17.7%). Autocorrelation was found between Sumatra, Java, Sulawesi as well as Bali, East Nusa Tenggara and West Nusa Tenggara (Bali NTT NTB). The SAR modelling revealed the following variables with significant impact on the stunting prevalence in various parts of the country: closet defecation, hand washing, at least four antenatal care visits during pregnancy, poverty, immunisation and supplementary food for children under 5 years.

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514个印度尼西亚地区/城市发育迟缓决定因素的空间分析：对干预和确定优先事项的影响。

尽管印度尼西亚全国发育迟缓的发病率有所下降，但许多地区/城市的发病率仍然很高，而且差异很大。这项生态研究采用了《基础健康研究报告》和2018年地区/城市贫困数据的汇总数据。我们研究了地区/城市层面发育迟缓患病率的决定因素，包括应用空间自回归（SAR）模型的自相关。分析显示，282个区/市（54.9%）的发育迟缓患病率高于全国平均水平，即297个区/城（57.8%）≥30%，91个区/城市（17.7%）≥40%。苏门答腊岛、爪哇岛、苏拉威西岛以及巴厘岛、东努沙登加拉岛和西努沙登加拉岛（巴厘岛NTT NTB）之间存在自相关。SAR模型揭示了以下变量，这些变量对该国各地的发育迟缓率有重大影响：排便、洗手、怀孕期间至少四次产前检查、贫困、5岁以下儿童的免疫接种和补充食品。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geospatial Health 医学-公共卫生、环境卫生与职业卫生

CiteScore

2.40

自引率

11.80%

发文量

审稿时长

12 months

期刊介绍： The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.