Evidence map›Paper›PMID 34797892›Full record

ArticlePloS one2021

Beyond personal factors: Multilevel determinants of childhood stunting in Indonesia.

Tri Mulyaningsih, Itismita Mohanty, Vitri Widyaningsih, Tesfaye Alemayehu Gebremedhin, Riyana Miranti, Vincent Hadi Wiyono

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
14.4field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 161 citations in OpenAlex.

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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 2 institutions in 2 countries.

Tri MulyaningsihDepartment of Economics, Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.ORCID 0000-0002-1679-4349
Itismita MohantyHealth Research Institute, University of Canberra, Canberra, Australia.
Vitri WidyaningsihFaculty of Medicine, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.ORCID 0000-0003-0116-7120
Tesfaye Alemayehu GebremedhinCanberra School of Politics, Economics and Society, Faculty of Business, Government and Law, University of Canberra, Canberra, Australia.
Riyana MirantiCanberra School of Politics, Economics and Society, Faculty of Business, Government and Law, University of Canberra, Canberra, Australia.
Vincent Hadi WiyonoDepartment of Economics, Faculty of Economics and Business, Universitas Sebelas Maret, Surakarta, Central Java, Indonesia.
Sebelas Maret University · IDUniversity of Canberra · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStunting is still a major public health problem in low- and middle-income countries, including Indonesia. Previous studies have reported the complexities associated with understanding the determinants of stunting. This study aimed to examine the household-, subdistrict- and province-level determinants of stunting in Indonesia using a multilevel hierarchical mixed effects model.

methodsWe analyzed data for 8045 children taken from the 2007 and 2014 waves of the Indonesian Family and Life Surveys (IFLS). We included individual-, family-/household- and community-level variables in the analyses. A multilevel mixed effects model was employed to take into account the hierarchical structure of the data. Moreover, the model captured the effect of unobserved household-, subdistrict- and province-level characteristics on the probability of children being stunted.

resultsOur findings showed that the odds of childhood stunting vary significantly not only by individual child- and household-level characteristics but also by province- and subdistrict-level characteristics. Among the child-level covariates included in our model, dietary habits, neonatal weight, a history of infection, and sex significantly affected the risk of stunting. Household wealth status and parental education are significant household-level covariates associated with a higher risk of stunting. Finally, the risk of stunting is higher for children living in communities without access to water, sanitation and hygiene.

conclusionsStunting is associated with not only child-level characteristics but also family- and community-level characteristics. Hence, interventions to reduce stunting should also take into account family and community characteristics to achieve effective outcomes.

Indexed as

ChildEducational StatusFamilyFamily CharacteristicsFemaleGrowth DisordersHumansHygieneIncomeIndonesiaMaleParentsPublic HealthSanitationSocioeconomic Factors

Identifiers

PMID34797892
PMCPMC8604318
OpenAlexW3213932206

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.