Evidence map›Paper›PMID 36882796›Full record

ArticleBMC nutrition2023

Maternal and Child Health handbook and under-6 child overweight in greater Jakarta, Indonesia: a cross-sectional web-based survey.

Akiko Saito, Masahide Kondo

Open access · goldAbstract read
In one paragraph

Article in BMC nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

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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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Akiko SaitoDepartment of Nursing, Faculty of Health Science Technology, Bunkyo Gakuin University, 1-19-1 Mukogaoka, Bunkyo, Tokyo, 1138668, Japan. ateshima@bgu.ac.jp.
Masahide KondoDepartment of Health Care Policy and Health Economics, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 3058577, Japan.
Bunkyo Gakuin University · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Indonesia, the double burden of child overnutrition and undernutrition is a public health concern. The nationally distributed Maternal and Child Health (MCH) handbook provides child nutrition information to caregivers. We aimed to find mothers' information sources regarding child nutrition, including the internet and the MCH handbook, and to explore the association between overweight and use of the MCH handbook.

methodA cross-sectional web-based survey was conducted among mothers with children under 6 years old in Greater Jakarta during 2019. Bivariate and multivariate logistic regression examined the association between child nutrition status and use of the MCH handbook.

resultsData were collected from 233 children. Overweight, underweight, wasting, and stunting were identified in 36.4%, 22.6%, 26.8%, and 37.6%, respectively. 62.5% of mothers used the MCH handbook, and 88.2% used the internet via a mobile phone. Significantly more cases of overweight were observed among children whose mothers used the MCH handbook (adjusted OR [aOR]: 5.829; 95% Confidential Interval [CI]: 1.618-20.999) whereas no relationship was observed between MCH handbook use and child undernutrition. Significant associations with child overweight were found for mother's education (tertiary) (aOR: 0.294; 95%CI: 0.098-0.885), employment type (fulltime) (aOR: 0.185; 95%CI: 0.061-0.562), watching television (more than 1 h) (aOR: 4.387; 95%CI: 1.648-11.678) and recognition of child overweight by mother (yes) (aOR: 3.405; 95%CI: 1.05-11.03).

conclusionThese results indicate the need to support mothers of children exhibiting overnutrition and undernutrition. The MCH handbook should be modified to address this issue.

Indexed as

Child nutritionChild overweightIndonesiaInformation sourceMaternal and Child Health handbook

Identifiers

PMID36882796
PMCPMC9990306
OpenAlexW4323359913

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.