Evidence map›Paper›PMID 38778326›Full record

ArticleBMC public health2024

Examining determinants of stunting in Urban and Rural Indonesian: a multilevel analysis using the population-based Indonesian family life survey (IFLS).

Issara Siramaneerat, Erni Astutik, Farid Agushybana, Pimnapat Bhumkittipich, Wanjai Lamprom

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  4. Maternal knowledge, education, and attitudes as determinants in preventing stunting: A case study from a rural area in South Sumatra.Malaysian family physician : the official journal of the Academy of Family Physicians of Malaysia · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Issara SiramaneeratDepartment of Social Science, Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi (RMUTT), 39 Moo1, Klong 6, Khlong Luang, Pathum Thani, 12110, Thailand. issara_s@rmutt.ac.th.
Erni AstutikDepartment of Epidemiology, Population Biostatistics and Health Promotion, Faculty of Public Health, Airlangga University, JI. Mulyorejo, Surabaya, Jawa Timur, 60115, Indonesia.
Farid AgushybanaDepartment of Biostatistics and Demography, Faculty of Public Health, Diponegoro University, Jl. Prof. Soedarto, SH. Tembalang, Semarang, Central Java, 50275, Indonesia.
Pimnapat BhumkittipichDepartment of Social Science, Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi (RMUTT), 39 Moo1, Klong 6, Khlong Luang, Pathum Thani, 12110, Thailand.
Wanjai LampromDepartment of Social Science, Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi (RMUTT), 39 Moo1, Klong 6, Khlong Luang, Pathum Thani, 12110, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Indonesia, chronic malnutrition leading to stunted growth in children represents a significant issue within the public health domain. The prevalence of stunting varies between urban and rural areas, reflecting disparities in access to nutrition, healthcare, and other socioeconomic factors. Understanding these disparities is crucial for developing targeted interventions to address the issue.

methodsThe study used data from the fifth wave of the Indonesian Family Life Survey (IFLS), which is a national cross-sectional population-based survey conducted across approximately 13 provinces in Indonesia in 2014-2015. Multivariate and Multilevel logistic regression models were utilized in the analysis to determine the factors associated with the prevalence of stunting in Indonesian children.

resultsThe multivariate logistic regression analysis indicated that among children aged 24-59 months in Indonesia, stunting was associated with the age of the child, birth weight, maternal nutritional status, and residence. Subsequently, the multilevel logistic regression analysis revealed that in rural areas, the age of the child and birth weight exhibited significant associations with stunting. Conversely, in urban areas, stunted children were influenced by 7 factors, including the child's age (months), age of weaning, birth weight (kg), mother and father's age, place of birth, and maternal nutritional status.

conclusionsVariations in childhood stunting between urban and rural regions in Indonesia were observed, indicating a differential prevalence. The study's findings suggests the importance of age-appropriate nutritional support, healthcare interventions, and growth monitoring. Focused interventions are vital, potentially encompassing initiatives such as improving access to maternal and child healthcare services, promoting adequate nutrition during pregnancy and infancy, and facilitate greater parental engagement in childcare responsibilities.

Indexed as

Growth DisordersMultilevel AnalysisRural PopulationUrban PopulationAdultChild, PreschoolCross-Sectional StudiesFemaleHumansIndonesiaInfantLogistic ModelsMalePrevalenceRisk FactorsSocioeconomic FactorsIFLSIndonesiaMalnutritionStuntingUndernutrition

Identifiers

PMID38778326
PMCPMC11110397

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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.