Evidence map›Paper›PMID 31634768›Full record

ArticleEnvironmental research2019

Do multiple environmental factors impact four cancers in women in the contiguous United States?

Miaoling Huang, Jianpeng Xiao, Philip C Nasca, Changhao Liu, Yi Lu, Wayne R Lawrence, Lijuan Wang, Qing Chen, Shao Lin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Miaoling HuangDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
Philip C NascaDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY, USA.
Changhao LiuDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Yi LuDepartment of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA.
Wayne R LawrenceDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY, USA.
Lijuan WangDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Qing ChenDepartment of Obstetrics and Gynecology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China. Electronic address: sumsqing@139.com.
Shao LinDepartment of Epidemiology and Biostatistics, University at Albany, State University of New York, Rensselaer, NY, USA; Department of Environmental Health Sciences, University at Albany, State University of New York, Rensselaer, NY, USA. Electronic address: slin@albany.edu.
Sun Yat-sen University · CNAlbany State University · USUniversity at Albany, State University of New York · USGuangdong Provincial Center for Disease Control and Prevention · CN

Funding

The Endowment for Community-based Health Disparities Research and TrainingS21MD010692 · NIMHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI RODRIGUEZ, HAVIDAN, SCHELL, LAWRENCE M · 2016 to 2020
$10.0M
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
NCEH CDC HHS U01 EH000396NIEHS NIH HHS R21 ES021359NIMHD NIH HHS S21 MD010692
6 · The paper itself

Abstract

backgroundThough there has been an increasing concern about the effects that environmental exposures have on cancer, limited knowledge exists regarding multiple environmental factors on cancers in women.

methodsWe performed a spatial autoregressive model to examine the association between the Environmental Quality Index (EQI) and mortalities of four cancers in women (breast, cervical, ovarian and uterine cancer) based on county-level data, and explored these associations by urbanicity. The EQI, which included five domains (air, water, land, built environment and sociodemographic domain) estimated from 2000 to 2005 data, was obtained from the United States Environmental Protection Agency. The mortality rates for 3107 counties in the US in 2014 were obtained from the Institute for Health Metrics and Evaluation.

resultsWe found that each unit increase in the overall EQI was positively associated with the increased mortality of breast, ovarian and uterine cancer (2.5%, 3.6% and 3.1% respectively), but was negatively associated with cervical cancer mortality. Among the environmental domains, the air and sociodemographic EQIs were positively associated with increased risks of breast, ovarian and uterine cancers. Additionally, built environment EQI was associated with breast and ovarian cancers; land EQI was associated with uterine and ovarian cancers. The sociodemographic EQI was negatively associated with cervical cancer mortality. Furthermore, we have developed a novel Environmental Quality Health Index (EQHI) in identifying environment-health risk of cancers in women at county level.

conclusionsOur findings suggest that breast, ovarian, and uterine cancer mortalities are positively associated with multiple environmental factors, while cervical cancer mortality is mainly negatively associated with sociodemographic factors. The novel EQHI might help identify spatially-based environment-cancer risk.

Indexed as

Breast NeoplasmsEnvironmental ExposureEnvironmental HealthFemaleHumansNeoplasmsOvarian NeoplasmsRisk FactorsUnited StatesUnited States Environmental Protection AgencyBreast cancerCervical cancerEnvironmental exposureOvarian cancerUterine cancer

Identifiers

PMID31634768
PMCPMC12882066
OpenAlexW2976691719

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.