Evidence map›Paper›PMID 33870020›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2021

Drinking water contaminants in California and hypertensive disorders in pregnancy.

Amy M Padula, Chen Ma, Hongtai Huang, Rachel Morello-Frosch, Tracey J Woodruff, Suzan L Carmichael

Open access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

6 authors at 3 institutions in 1 country.

Amy M PadulaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California.
Chen MaDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Hongtai HuangDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California.
Rachel Morello-FroschDepartment of Environmental Science, Policy and Management & School of Public Health, University of California, Berkeley, Berkeley, California.
Tracey J WoodruffDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California.
Suzan L CarmichaelDepartment of Environmental Science, Policy and Management & School of Public Health, University of California, Berkeley, Berkeley, California.
University of California, San Francisco · USUniversity of California, Berkeley · USStanford University · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1987 to 2025
$74.6M
UCSF Environmental Research and Translation for Health Center (EaRTH Center)P30ES030284 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rashmi Joglekar · 2020 to 2026
$11.2M
Wildfire Smoke and Severe Maternal Morbidity in CaliforniaR01ES031261 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PADULA, AMY MICHELLE · 2020 to 2024
$3.1M
Environmental, Social and Biological Factors and Disparities in Preterm BirthR03ES028368 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PADULA, AMY MICHELLE · 2018 to 2019
$174k
NIEHS NIH HHS P30 ES030284NIEHS NIH HHS P42 ES004705NIEHS NIH HHS R01 ES031261NIEHS NIH HHS R03 ES028368
6 · The paper itself

Abstract

Environmental pollutants have been associated with hypertensive disorders in pregnancy including gestational hypertension, preeclampsia, and eclampsia, though few have focused on drinking water contamination. Water pollution can be an important source of exposures that may contribute to adverse pregnancy outcomes.

methodsWe linked water quality data on 13 contaminants and two violations from the California Communities Environmental Health Screening Tool to birth records from vital statistics and hospital discharge records (2007-2012) to examine the relationship between drinking water contamination and hypertensive disorders in pregnancy. We examined contaminants in single- and multipollutant models. Additionally, we examined if the relationship between water contamination and hypertensive disorders in pregnancy differed by neighborhood poverty, individual socioeconomic status, and race/ethnicity.

resultsArsenic, nitrate, trihalomethane, hexavalent chromium, and uranium were detected in a majority of water systems. Increased risk of hypertensive disorders in pregnancy was modestly associated with exposure to cadmium, lead, trihalomethane, and hexavalent chromium in drinking water after adjusting for covariates in single pollutant models with odds ratios ranging from 1.01 to 1.08. In multipollutant models, cadmium was consistent, lead and trihalomethane were stronger, and additional contaminants were associated with hypertensive disorders in pregnancy including trichloroethylene, 1,2-Dibromo-3-chloropropane, nitrate, and tetrachloroethylene. Other contaminants either showed null results or modest inverse associations. The relationship between water contaminants and hypertensive disorders in pregnancy did not differ by neighborhood poverty.

conclusionsWe found increased risk of hypertensive disorders in pregnancy associated with exposure to several contaminants in drinking water in California. Results for cadmium, lead, trihalomethane, and hexavalent chromium were robust in multipollutant models.

Indexed as

Environmental justiceHealth disparitiesPollutionPreterm birthWater contaminant

Identifiers

PMID33870020
PMCPMC8043732
OpenAlexW3142973832

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.