Evidence map›Paper›PMID 29329571›Full record

ArticleBMC public health2018

Environmental exposures and fetal growth: the Haifa pregnancy cohort study.

Rachel Golan, Itai Kloog, Ronit Almog, Anat Gesser-Edelsburg, Maya Negev, Maya Jolles, Varda Shalev, Vered H Eisenberg, Gideon Koren, Wiessam Abu Ahmad and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Prenatal PMToxics · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Maternal exposure to ambient fine particulate matter and fetal growth in Shanghai, China.Environmental health : a global access science source · 2019
    Article
  8. Causal Modeling in Environmental Health.Annual review of public health · 2019
    Review
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

11 authors at 6 institutions in 1 country.

Rachel GolanBen-Gurion University of the Negev, P.O. Box 653, 84105, Beer-Sheva, Israel. golanra@bgu.ac.il.
Itai KloogBen-Gurion University of the Negev, P.O. Box 653, 84105, Beer-Sheva, Israel.
Ronit AlmogRambam Hospital, Haifa, Israel.
Anat Gesser-EdelsburgUniversity of Haifa, Haifa, Israel.
Maya NegevUniversity of Haifa, Haifa, Israel.
Maya JollesUniversity of Haifa, Haifa, Israel.
Varda ShalevInstitute of Research and Innovation, Maccabitech, Tel-Aviv, Israel.
Vered H EisenbergInstitute of Research and Innovation, Maccabitech, Tel-Aviv, Israel.
Gideon KorenInstitute of Research and Innovation, Maccabitech, Tel-Aviv, Israel.
Wiessam Abu AhmadHadassah-Hebrew University, Jerusalem, Israel.
Hagai LevineHadassah-Hebrew University, Jerusalem, Israel.
University of Haifa · ILBen-Gurion University of the Negev · ILHebrew University of Jerusalem · ILTel Aviv University · ILMaccabi Institute for Health Services Research · ILRambam Health Care Campus · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe developing fetus is susceptible to environmental insults. Studying the effects of environmental exposures on fetal growth is essential for understanding the causal pathway between prenatal exposures and pregnancy outcomes. Here we describe the Haifa Pregnancy Cohort Study (HPCS) and discuss challenges and opportunities in applying "big data" paradigm.

methodsMaccabi Healthcare Services (MHS), is the second largest Israeli health maintenance organization (HMO) providing care services to two million beneficiaries. The HPCS cohort potentially includes ~750,000 newborns born between 1998 and 2017. We will estimate daily exposures to air pollutants, temperature and greenness, using satellite-based data and models. We hypothesize that residents of Haifa have higher exposures to environmental pollutants and that in pregnant women this higher exposure is associated with poorer fetal growth. We will evaluate outcomes such as birth-weight, head-circumference and gestational age at birth. We will adjust for pregnancy complications such as pre-eclampsia and gestational diabetes and parental variables, such as maternal weight, age and smoking habits as potential confounders. In addition, we will conduct a multi-tiered field study, nested within this population, among 150 pregnant women residing in two geographical regions-one in the polluted Haifa area, and one in a relatively unpolluted area in central Israel. Blood and urinary samples will be collected, as well as personal and indoor exposure to air pollution. DISCUSSION: Evaluating environmental exposures of pregnant women and assessing in utero growth over the course of the pregnancy during different exposure windows, is of great scientific and public health interest. Recent advances in data collection and analysis pose great promise to provide insights into contribution of environment to the health of the developing fetus, but also pose major challenges and pitfalls, such as data management, proper statistical framework and integration of data in the population-based study and selectiveness in the nested field study. Yet the continuing follow-up of the study cohort, integrating data from different services, health-promotion, and eventually, application later in real life of our main promises. Our study aims to meet these challenges and to provide evidence of the environmental exposures associated with fetal growth.

Indexed as

AdolescentAdultAir PollutionAir Pollution, IndoorCohort StudiesEnvironmental ExposureFemaleFetal Growth RetardationHumansInfant, NewbornIsraelMaternal ExposurePregnancyPregnancy OutcomeYoung AdultAir pollutionEnvironmental exposuresFetal growthIndoor air pollutionPregnancy cohortSatellite based models

Identifiers

PMID29329571
PMCPMC5767054
OpenAlexW2783246798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.