Evidence map›Paper›PMID 32677600›Full record

ArticlePublic health nutrition2021

Prevalence and regional variations of coexistence of child stunting and maternal overweight or obesity in Myanmar.

Seo Ah Hong

Open access · greenAbstract read
In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Defining double burden of malnutrition across individual, household and population level: A narrative review.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
    Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author at 1 institution in 2 countries.

Seo Ah HongASEAN Institute for Health Development, Mahidol University, Nakhon Pathom73170, Thailand.ORCID 0000-0002-6702-8038
Mahidol University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current study aimed to investigate double burden of malnutrition within households at the national and subnational levels and to identify its association with sociodemographic factors in Myanmar.

designAll the variables were extracted from children's file of the Myanmar Demographic and Health Survey 2015-2016. Children under five were identified as stunted based on a height-for-age < -2 sd below the WHO reference median. Maternal overweight/obesity was defined as a BMI ≥ 23 kg/m2. A stunted child with an overweight/obese mother (SCOM) was classified as a double-burden household.

settingA national household survey in Myanmar.

participantsChildren under five and their mothers (n 3954 pairs).

resultsMean ages of children and mothers were 29 (se 0·14) months and 30·9 (se 0·32) years, respectively. National prevalence of childhood stunting and maternal overweight/obesity was 28·0 % and 39·4 %, respectively, and the prevalence of SCOM was 9·1 %. Significant regional differences were found in SCOM, ranging from 3·6 % in Naypyitaw to 12 % in Kachin and Mon and 14·6 % in Kayah. In the multinomial logistic regression analysis, relative to neither a stunted child nor an overweight/obese mother, child's age, maternal age, maternal experience of a teen birth, short mothers, mothers with primary education and in middle or rich wealth tertiles, and some regions (Kachin, Kayah, Shan, Sagaing, Taninthayi, Ayeyarwaddy, Mon and Yangon) were associated with greater odds of SCOM.

conclusionsThe current study showed a relatively high national prevalence of SCOM and significant regional variations. Overarching policies and programmes with culturally sensitive strategies need to be formulated and implemented.

Indexed as

Growth DisordersOverweightAdolescentChildHumansInfant, NewbornMyanmarObesityPrevalenceChild stuntingDouble burden of malnutritionMaternal overweight/obesityMyanmar demographic and health survey

Identifiers

PMID32677600
PMCPMC10195513
OpenAlexW3042220640

What OpenQuestion holds

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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.