Evidence map›Paper›PMID 35215492›Full record

ArticleNutrients2022

Geographic and Socioeconomic Disparity in Child Undernutrition across 514 Districts in Indonesia.

Dumilah Ayuningtyas, Dwi Hapsari, Rika Rachmalina, Vilda Amir, Riani Rachmawati, Dian Kusuma

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 42 citations in OpenAlex.

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  2. Socioeconomic and Regional Disparities in Under-five Mortality in Indonesia: Insights From Indonesia's 2020 Census.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Dumilah AyuningtyasHealth Policy and Administration Department, Faculty of Public Health, Universitas Indonesia, Depok 16424, Indonesia.ORCID 0000-0002-7621-326X
Dwi HapsariNational Institute of Health Research and Development, Ministry of Health, Jakarta 10560, Indonesia.
Rika RachmalinaNational Institute of Health Research and Development, Ministry of Health, Jakarta 10560, Indonesia.ORCID 0000-0002-8290-3208
Vilda AmirHealth Policy and Administration Department, Faculty of Public Health, Universitas Indonesia, Depok 16424, Indonesia.ORCID 0000-0002-0740-1478
Riani RachmawatiFaculty of Economics and Business, Universitas Indonesia, Depok 16424, Indonesia.
Dian KusumaCentre for Health Economics & Policy Innovation, Imperial College Business School, London SW7 2AZ, UK.ORCID 0000-0002-1909-9341
University of Indonesia · IDMinistry of Health · IDImperial College London · GB

Funding

University of Indonesia NKB-640/UN2.RST/HKP.05.00/2021
6 · The paper itself

Abstract

backgroundGlobally, in 2020, 45 million children were estimated to be wasted, and 149 million children under five years of age were estimated to be stunted. Undernutrition makes children in particular much more vulnerable to disease and death. Our study aims to examine geographic and socioeconomic disparities in child undernutrition across 514 districts in Indonesia.

methodsEmploying both geospatial and quantitative analyses (descriptive statistics and Ordinary Least Squares regressions), we analyzed the disparities in the prevalence of underweight, severe underweight, wasting, severe wasting, stunting, and severe stunting among districts. Child undernutrition data were from Indonesia Basic Health Survey (Riskesdas) 2018, which included a sample of 93,620 children under five years. Socioeconomic data were from the World Bank.

resultsWe found a relatively large geographic and socioeconomic disparity in child undernutrition in Indonesia. By region, districts in the Papua region (including Maluku and Nusa Tenggara) had a significantly higher prevalence of underweight and wasting than those in the Java region (including Bali). Districts in Papua had 44%, 121%, 38%, and 57% higher prevalence of underweight, severe underweight, wasting, and severe wasting, respectively. Similarly, the poorest districts had a significantly higher prevalence of underweight, wasting, and stunting than the wealthiest districts. The poorest districts had 30%, 83%, 16%, 21%, and 74% higher prevalence of underweight, severe underweight, wasting, stunting, and severe stunting, respectively. These results were similar among rural districts.

conclusionThere is a significant disparity in child undernutrition across districts in Indonesia. The government needs to prioritize the reduction of child undernutrition, especially in rural areas, districts outside of Java and Bali, and the poorest and least educated areas.

Indexed as

Child Nutrition DisordersMalnutritionWasting SyndromeChildChild, PreschoolCross-Sectional StudiesGrowth DisordersHumansIndonesiaInfantPovertyPrevalenceThinnessgeospatialIndonesiamalnutritionstuntingundernutritionwasting

Identifiers

PMID35215492
PMCPMC8874971
OpenAlexW4213363933

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.