Evidence map›Paper›PMID 38782342›Full record

ArticleEnvironmental research2024

Relative humidity, temperature, and hypertensive disorders of pregnancy: Findings from the Project Viva cohort.

Christina M Howe, Brent A Coull, Stefania Papatheodorou, Heike Luttmann-Gibson, Sheryl L Rifas-Shiman, Ander Wilson, Itai Kloog, Qian Di, Antonella Zanobetti, Petros Koutrakis and 3 more

Abstract read
In one paragraph

Article in Environmental research, 2024. 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
–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

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.

  1. Review
  2. Article
  3. Article
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

13 authors.

Christina M HoweDepartment of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA. Electronic address: christina.monroe.howe@gmail.com.
Brent A CoullDepartment of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Stefania PapatheodorouDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Heike Luttmann-GibsonDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Ander WilsonDepartment of Statistics, Colorado State University, Fort Collins, CO, USA.
Itai KloogDepartment of Environmental Medicine and Public Health at the Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Geography at Ben Gurion University of the Negev, Beersheba, Israel.
Qian DiVanke School of Public Health, Tsinghua University, Beijing, China.
Antonella ZanobettiDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Petros KoutrakisDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Joel D SchwartzDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA.
Diane R GoldDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Channing Laboratory, Brigham and Women's Hospital, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
Effect of Ambient Particles on Acute Stroke OnsetP01ES009825 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DOCKERY, DOUGLAS W · 1999 to 2009
$17.4M
GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUH3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2018 to 2022
$11.7M
Organic-metal mixtures and neurodevelopmentR01ES026033 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora, Robert O Wright · 2016 to 2026
$6.1M
Maintain and Enrich Resource Infrastructure for Project Viva: a pre-birth cohort with follow up into adolescenceR24ES030894 · NIEHS · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2020 to 2024
$2.0M
NICHD NIH HHS R01 HD034568NIEHS NIH HHS P01 ES009825NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES026033NIEHS NIH HHS R24 ES030894NIEHS NIH HHS T32 ES007142NIH HHS UH3 OD023286
6 · The paper itself

Abstract

backgroundPreeclampsia is a multi-system hypertensive disorder of pregnancy that is a leading cause of maternal and fetal morbidity and mortality. Prior studies disagree on the cause and even the presence of seasonal patterns in its incidence. Using unsuitable time windows for seasonal exposures can bias model results, potentially explaining these inconsistencies.

objectivesWe aimed to investigate humidity and temperature as possible causes for seasonal trends in preeclampsia in Project Viva, a prebirth cohort in Boston, Massachusetts, considering only exposure windows that precede disease onset.

methodsUsing the Parameter-elevation Relationships on Independent Slopes Model (PRISM) Climate Dataset, we estimated daily residential temperature and relative humidity (RH) exposures during pregnancy. Our primary multinomial regression adjusted for person-level covariates and season. Secondary analyses included distributed lag models (DLMs) and adjusted for ambient air pollutants including fine particulates (PM

resultsWhile preeclampsia is typically diagnosed late in pregnancy, GAMM-fitted SBP trajectories for preeclamptic and non-preeclamptic women began to diverge at around 20 weeks' gestation, confirming the need to only consider early exposures. In the primary analysis with 1776 women, RH in the early second trimester, weeks 14-20, was associated with significantly higher odds of preeclampsia (OR per IQR increase: 1.81, 95% CI: 1.10, 2.97). The DLM corroborated this window, finding a positive association from weeks 12-20. There were no other significant associations between RH or temperature and preeclampsia or gestational hypertension in any other time period. DISCUSSION: The association between preeclampsia and RH in the early second trimester was robust to model choice, suggesting that RH may contribute to seasonal trends in preeclampsia incidence. Differences between these results and those of prior studies could be attributable to exposure timing differences.

Indexed as

HumidityPre-EclampsiaTemperatureAdultAir PollutantsBostonCohort StudiesFemaleHumansHypertension, Pregnancy-InducedPregnancySeasonsYoung AdultAir Pollutants

Identifiers

PMID38782342
PMCPMC11304542

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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.