Evidence map›Paper›PMID 42057994›Full record

ArticleBelitung nursing journal2026

Low birth weight among neonates in rural areas of Indonesia: A secondary data analysis.

Nelwati Nelwati, Hema Malini, Ferry Efendi, Heri Kuswanto, Eka Misbahatul Mar'ah Has, Mahendra Tri Arif Sampurna

Abstract read
In one paragraph

Article in Belitung nursing journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nelwati NelwatiFaculty of Nursing, Universitas Andalas, Padang, West Sumatera, Indonesia.ORCID https://orcid.org/0000-0001-9089-8616
Hema MaliniFaculty of Nursing, Universitas Andalas, Padang, West Sumatera, Indonesia.ORCID https://orcid.org/0000-0002-3224-5657
Ferry EfendiFaculty of Nursing, Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0000-0001-7988-9196
Heri KuswantoDepartment of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Eka Misbahatul Mar'ah HasFaculty of Nursing, Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0000-0002-1786-285X
Mahendra Tri Arif SampurnaFaculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0000-0002-7529-8142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low birth weight (LBW) is a major global health concern because of its strong association with infant mortality, morbidity, and impaired long-term development. The determinants of LBW among neonates in rural areas of Indonesia remain underexplored. Objective: To examine the prevalence of LBW and determine its associated factors among neonates in rural areas of Indonesia. Methods: A cross-sectional study used secondary data sources from the 2017 Indonesian Demographic and Health Survey. A total of 6,701 mothers who lived in rural areas were included. Explanatory variables were maternal age, maternal education, smoking status, parity, birth interval, twin history, antenatal care (ANC), husband support, wealth quintile, region of residence, and complications during pregnancy. The outcome variable was the prevalence of LBW. Data were analyzed using bivariate analysis with a Chi-square test (χ Results: The prevalence of LBW was 6.65%. First birth [AOR = 1.486; 95% CI: 1.126-1.959], twin history [AOR = 27.165; 95% CI = 13.006-56.738], fewer than four ANC visits [AOR = 2.193; 95% CI = 1.519-3.164], and complications during pregnancy [AOR = 1.890; 95% CI = 1.427-2.503] were significantly associated with the prevalence of LBW. Conclusion: This study revealed the prevalence of LBW among neonates in rural areas of Indonesia. First birth, twin history, ANC visits, and complications during pregnancy were significantly associated with LBW. It is suggested that health professionals should strengthen the quality of antenatal care and improve health promotion and education during pregnancy for rural mothers to reduce the prevalence of LBW.

Indexed as

antenatal carebirth intervalIndonesialogistic modellow birth weightparity

Identifiers

PMID42057994
PMCPMC13122476

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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.