Evidence map›Paper›PMID 36962417›Full record

ArticlePLOS global public health2022

Biomass fuel use and birth weight among term births in Nigeria.

Musa Abubakar Kana, Min Shi, Jennifer Ahmed, Jimoh Muhammad Ibrahim, Abdullahi Yusuf Ashir, Karimatu Abdullahi, Halima Bello-Manga, Matthew Taingson, Amina Mohammed-Durosinlorun, Musa Shuaibu and 2 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 72% 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

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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Effect of Biomass Fuel Use on Neonatal Outcomes: A Cohort Study of Pregnant Females.International journal of environmental research and public health · 2025
    Article
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

12 authors at 3 institutions in 2 countries.

Musa Abubakar KanaNational Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-5766-7610
Min ShiNational Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, North Carolina, United States of America.
Jennifer AhmedBarau Dikko Teaching Hospital, Kaduna, Kaduna State, Nigeria.
Jimoh Muhammad IbrahimCollege of Medicine, Kaduna State University, Kaduna, Kaduna State, Nigeria.
Abdullahi Yusuf AshirBarau Dikko Teaching Hospital, Kaduna, Kaduna State, Nigeria.
Karimatu AbdullahiDepartment of Petroleum Chemistry, Baze University, Abuja, Nigeria.
Halima Bello-MangaCollege of Medicine, Kaduna State University, Kaduna, Kaduna State, Nigeria.
Matthew TaingsonCollege of Medicine, Kaduna State University, Kaduna, Kaduna State, Nigeria.
Amina Mohammed-DurosinlorunCollege of Medicine, Kaduna State University, Kaduna, Kaduna State, Nigeria.
Musa ShuaibuCollege of Medicine, Kaduna State University, Kaduna, Kaduna State, Nigeria.
Abdulkadir Musa TabariCollege of Medicine, Kaduna State University, Kaduna, Kaduna State, Nigeria.
Stephanie J LondonNational Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0003-4911-5290
Kaduna State University · NGNational Institutes of Health · USBaze University · NG

Funding

GENETIC AND ENVIRONMENTAL FACTORS IN CHILDHOOD RESPIRATORY HEALTHZ01ES049019 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE JOAN · 1996 to 2008
$537k
Intramural NIH HHS Z01 ES049019
6 · The paper itself

Abstract

Despite the high burden of household air pollution from biomass fuel in sub-Saharan Africa, the association of prenatal biomass fuel exposure and birth weight as a continuous variable among term births has not been extensively studied. In this study, our primary aim is to estimate the association between biomass cooking fuel and birth weight among term births in Kaduna, northwestern Nigeria. For replication, we also evaluated this association in a larger and nationally representative sample from the 2018 Nigerian Demographic and Health Survey (DHS). Our primary analysis included 1,514 mother-child pairs recruited from Kaduna, in northwestern Nigeria, using the Child Electronic Growth Monitoring System (CEGROMS). Replication analysis was conducted using data from 6,975 mother-child pairs enrolled in 2018 Nigerian DHS. The outcome variable was birth weight, and the exposure was cooking fuel type, categorized in CEGROMS as liquefied petroleum gas, kerosene, or biomass fuel, and in the DHS as low pollution fuel, kerosene, or biomass fuel. We estimated covariate adjusted associations between birth weight and biomass fuel exposure in CEGROMS using linear regression and using linear mixed model in the DHS. In CEGROMS, adjusting for maternal age, education, parity, BMI at birth, and child sex, mothers exposed to biomass fuel gave birth to infants who were on average 113g lighter (95% CI -196 to -29), than those using liquified petroleum gas. In the 2018 Nigeria DHS data, compared to low pollution fuel users, mothers using biomass had infants weighing 50g (95% CI -103 to 2) lower at birth. Exposure to biomass cooking fuel was associated with lower birth weight in our study of term newborns in Kaduna, Nigeria. Data from the nationally representative DHS provide some support for these findings.

Identifiers

PMID36962417
PMCPMC10022098
OpenAlexW4281737165

What OpenQuestion holds

Textfull text, public
LicenceCC0
measurements read22
identifiers read12
Read underepoch 390

Registered trials

None linked

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.