Evidence map›Paper›PMID 37840861›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2023

The association between timing in pregnancy of drought and excess rainfall, infant sex, and birthweight: Evidence from Nepal.

Nadia G Diamond-Smith, Adrienne Epstein, Marya G Zlatnik, Emily Treleaven

Abstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Nadia G Diamond-SmithDepartment of Epidemiology and Biostatistics and Institute for Global Health Sciences, University of California, San Francisco, San Francisco, California.ORCID https://orcid.org/0000-0002-8711-3029
Adrienne EpsteinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
Marya G ZlatnikDivision of Maternal Fetal Medicine, Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California, San Francisco, San Francisco, California.
Emily TreleavenInstitute for Social Research, University of Michigan, Ann Arbor, Michigan.

Funding

UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JENNIFER C FUNG, Tracey J. Woodruff · 2020 to 2026
$11.2M
NIEHS NIH HHS P30 ES030284
6 · The paper itself

Abstract

Background: Past research on the impact of climatic events, such as drought, on birth outcomes has primarily been focused in Africa, with less research in South Asia, including Nepal. Existing evidence has generally found that drought impacts birthweight and infant sex, with differences by trimester. Additionally, less research has looked at the impact of excess rain on birth outcomes or focused on the impact of rainfall extremes in the preconception period. Using data from a large demographic surveillance system in Nepal, combined with a novel measure of drought/excess rainfall, we explore the impact of these on birthweight by time in pregnancy. Methods: Using survey data from the 2016 to 2019 Chitwan Valley Study in rural Nepal combined with data from Climate Hazards InfraRed Precipitation with Station, we explored the association between excess rainfall and drought and birthweight, looking at exposure in the preconception period, and by trimester of pregnancy. We also explore the impact of excess rainfall and drought on infant sex and delivery with a skilled birth attendant. We used multilevel regressions and explored for effect modification by maternal age. Results: Drought in the first trimester is associated with lower birthweight ( Conclusions: Increasing rainfall extremes will likely impact birth outcomes and could have implications for sex ratios at birth.

Indexed as

BirthweightDroughtExcess rainfallFood securitySouth Asia

Identifiers

PMID37840861
PMCPMC10569756

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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.