Evidence map›Paper›PMID 33689898›Full record

ArticleThe Science of the total environment2021

Ambient extreme heat exposure in summer and transitional months and emergency department visits and hospital admissions due to pregnancy complications.

Yanji Qu, Wangjian Zhang, Ian Ryan, Xinlei Deng, Guanghui Dong, Xiaoqing Liu, Shao Lin

Open access · bronzeAbstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
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  8. Observational
  9. Climate change and public health in California: A structured review of exposures, vulnerable populations, and adaptation measures.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Review
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  16. Increasing global temperatures threaten gains in maternal and newborn health in Africa: A review of impacts and an adaptation framework.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Review
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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

7 authors at 4 institutions in 2 countries.

Yanji QuGuangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China; Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA.
Wangjian ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA.
Ian RyanDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA.
Xinlei DengDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA.
Guanghui DongGuangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, Guangdong Provincial Engineering Technology Research Center of Environmental and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
Xiaoqing LiuGuangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan 2nd Road, Guangzhou 510080, Guangdong, China. Electronic address: drliuxiaoqing@gdph.org.cn.
Shao LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, One University Place, Rensselaer, Albany, NY 12144, USA. Electronic address: slin@albany.edu.
University at Albany, State University of New York · USAlbany State University · USGuangdong Provincial People's Hospital · CNSun Yat-sen University · CN

Funding

Weather extremes, natural disasters, and health outcomes among vulnerable older adults: New improvements on exposure assessment, disparity identification, and risk communication strategiesR01AG070949 · NIA · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2022 to 2025
$1.6M
Assess and Model the Health Effects, Population, and Infrastructural Vulnerabilities of Power OutageR15ES028000 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2018 to 2018
$444k
Climate Change and Adverse Birth Outcomes: Assessing the Vulnerability of PregnanR21ES021359 · NIEHS · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI LIN, SHAO · 2012 to 2013
$321k
NIA NIH HHS R01 AG070949NIEHS NIH HHS R15 ES028000NIEHS NIH HHS R21 ES021359
6 · The paper itself

Abstract

Although extreme heat exposure (EHE) was reported to be associated with increased risks of multiple diseases, little is known about the effects of EHE on pregnancy complications. We examined the EHE-pregnancy complications associations by lag days, subtypes, sociodemographic characteristics, and areas in New York State (NYS). We conducted a case-crossover analysis to assess the EHE-pregnancy complications associations in summer (June-August) and transitional months (May and September). All emergency department (ED) visits and hospital admissions due to pregnancy complications (ICD 9 codes: 630-649) from 2005 to 2013 in NYS were included. Daily mean temperature > 90th percentile of the monthly mean temperature in each county was defined as an EHE. We used conditional logistic regression while controlling for other weather factors, air pollutants and holidays to assess the EHE-pregnancy complications associations. EHE was significantly associated with increased ED visits for pregnancy complications in summer (ORs ranged: 1.01-1.04 from lag days 0-5). There was also a significant and stronger association in transitional months (ORs ranged: 1.02-1.06, Lag 0). Furthermore, we found EHE affected multiple subtypes of pregnancy complications, including threatened/spontaneous abortion, renal diseases, infectious diseases, diabetes, and hypertension (ORs range: 1.13-1.90) during transitional months. A significant concentration response effect between the number of consecutive days of EHE and ED visits in summer (P for trend <0.001), ED visits in September (P for trend =0.03), and hospital admission in May (P for trend<0.001) due to pregnancy complications was observed, respectively. African Americans and residents in lower socioeconomic position (SEP) counties were more susceptible to the effects of EHE. In conclusion, we found an immediate and prolonged effect of EHE on pregnancy complications in summer and a stronger, immediate effect in transitional months. These effects were stronger in African Americans and counties with lower SEP. Earlier warnings regarding extreme heat are recommended to decrease pregnancy complications.

Indexed as

Air PollutantsExtreme HeatPregnancy ComplicationsEmergency Service, HospitalFemaleHospitalsHumansNew YorkPregnancySeasonsAir PollutantsHeatHotPregnancy complicationsTemperatureTransitional months

Identifiers

PMID33689898
PMCPMC12191076
OpenAlexW3135402558

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.