Evidence map›Paper›PMID 39267582›Full record

ArticleMaternal & child nutrition2025

Adolescent pregnancy, maternal and child anaemia: Empirical analysis from India, Bangladesh, and Nigeria.

Anu Rammohan, Hoi Chu, Niyi Awofeso, Srinivas Goli

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Anu RammohanDepartment of Economics, The University of Western Australia, Perth, Australia.ORCID 0000-0002-9062-4508
Hoi ChuDepartment of Economics, The University of Western Australia, Perth, Australia.
Niyi AwofesoThe School of Health and Environmental Studies, Hamdan Bin Mohammed Smart University, Dubai, UAE.
Srinivas GoliDepartment of Fertility and Social Demography, International Institute for Population Sciences (IIPS), Deonar, Mumbai, India.ORCID 0000-0002-8481-484X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early childbearing poses several potential risks to maternal and child health. This paper empirically analyses the association between teenage pregnancy and child nutritional status, maternal and child anaemia in three countries (Nigeria, India and Bangladesh) that account for the highest proportion of teenage births and/or total number of malnourished teenage mothers and children. Data were sourced from nine waves of Demographic and Health Surveys conducted in Bangladesh, India, and Nigeria from 2005-2018, covering a sample of 27,705 children from Bangladesh, 266,308 children from India and 54,719 children from Nigeria. Our outcome measures of maternal and child nutrition include (i) a composite measure of anthropometric failure for children (CIAF), (ii) maternal anaemia, (iii) childhood anaemia, and (iv) anaemia in maternal-child pairs. Using multivariate regression analysis, we examine the associations between early childbirth, child nutrition, and maternal and child anaemia, controlling for an array of household-level socioeconomic and demographic characteristics. Across all three countries, the prevalence of CIAF (childhood anthropometric failure) is significantly higher among children born to women aged below 17 at first birth. We further find that early pregnancy and childbearing are associated with significantly higher rates of severe/moderate anaemia among both mothers and children in Bangladesh and Nigeria. In the three countries studied, the proportions of teenage mothers with vulnerable socioeconomic status and suboptimal pre-conception care are relatively high, which raises the risk of maternal and child morbidity as well as mortality.

Indexed as

AnemiaPregnancy in AdolescenceAdolescentAdultBangladeshChildChild, PreschoolFemaleHumansIndiaInfantMaleNigeriaNutritional StatusPregnancyPrevalenceadolescent pregnancychild nutritionmaternal and child anaemia

Identifiers

PMID39267582
PMCPMC11650067

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.