Evidence map›Paper›PMID 34716895›Full record

ArticleEnvironmental science and pollution research international2022

Spatial variation and association between maternal chemical fertilizer exposure and preterm birth in a rural area in Northern China.

Jiajia Li, Shiqi Lin, Jilei Wu, Yu Li, Xuejun Shang, Lijun Pei

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. 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
1.2field-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

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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Spatial patterns of prematurity and its determinants in the metropolitan region of São Paulo, Brazil, 2010-2019.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
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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

6 authors at 3 institutions in 1 country.

Jiajia Li *Institute of Population Research/China Center on Population Health and development, Peking University, Beijing, 100871, China.
Shiqi Lin *Institute of Population Research/China Center on Population Health and development, Peking University, Beijing, 100871, China.
Jilei WuInstitute of Population Research/China Center on Population Health and development, Peking University, Beijing, 100871, China.
Yu LiDepartment of Andrology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, 210002, China.
Xuejun ShangDepartment of Andrology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, 210002, China. shangxj98@163.com.
Lijun PeiInstitute of Population Research/China Center on Population Health and development, Peking University, Beijing, 100871, China. peilj@pku.edu.cn.
China Population and Development Research Center · CNNanjing University · CNPeking University · CN

Funding

Danone Nutrition Center for Dietary Nutrition Research and Education Foundation DIC2015-05National Health Commission Key Laboratory of Birth Defects Prevention, Henan Province No.ZD202002National Key Research and Development Program of China 2018YFC1004303National Natural Science Foundation of China No.41871360
6 · The paper itself

Abstract

Whether maternal macro-environmental chemical fertilizer exposure has an association with the risk of preterm birth remains unclear. This study aimed to investigate the association between maternal exposure to chemical fertilizer during pregnancy and the risk of preterm birth. A total of 13,861 births, including 402 preterm birth from 313 villages in Pingding County, Shanxi Province, China, were analyzed to explore spatial variations of preterm birth risks at the village level. Spatial variations of preterm birth were visualized and tested with Disease Mapping, Moran's I and G* Statistic. The spatial zero-inflated negative binomial model was used to evaluate the incidence rate ratio (IRR) of preterm birth in different chemical fertilizer consumption levels at the village level. A population-based case-control study was conducted including 153 preterm births cases and 204 controls at the household level. The two-level logistic regression model was performed to estimate the association between risks of preterm birth and maternal exposure to chemical fertilizer after adjusting confounding factors. The findings indicated a remarkably clustering effect in relative risks of preterm birth and identified a high-risk clustering region of preterm birth from the south-central to the southwest and a low-risk clustering region in the northern Pingding county. The results of the spatial zero-inflated negative binomial model showed that the risk of preterm birth in the villages with chemical fertilizer consumption≥100 tons was 2.82 (95% CI: 1.50-5.57) times higher than those with <50 tons. Maternal exposure to chemical fertilizer ≥100 tons at village level was associated with an increased risk of preterm birth (aOR 2.14, 95%CI: 1.18-3.96), compared with exposure <50 tons after adjusting for confounding variables. The findings suggests that chemical fertilizers deserve more attention as a potential risk factor of preterm birth.

Indexed as

Premature BirthCase-Control StudiesChinaEnvironmental ExposureFemaleFertilizersHumansInfant, NewbornMaternal ExposurePregnancyRisk FactorsFertilizersChemical fertilizer consumptionPreterm birthSpatial analysisSpatial multilevel logistic regression model

Identifiers

PMID34716895
OpenAlexW3210675483

What OpenQuestion holds

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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.