Evidence map›Paper›PMID 30995291›Full record

ArticleAmerican journal of epidemiology2019

Associations of Maternal Cell-Phone Use During Pregnancy With Pregnancy Duration and Fetal Growth in 4 Birth Cohorts.

Ermioni Tsarna, Marije Reedijk, Laura Ellen Birks, Mònica Guxens, Ferran Ballester, Mina Ha, Ana Jiménez-Zabala, Leeka Kheifets, Aitana Lertxundi, Hyung-Ryul Lim and 8 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. A systematic review of mobile phone use and pregnancy and fetal outcomes.Journal of exposure science & environmental epidemiology · 2026
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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

18 authors.

Ermioni TsarnaInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Marije ReedijkInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Laura Ellen BirksISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
Mònica GuxensISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
Ferran BallesterSpanish Consortium for Research on Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, Spain.
Mina HaDepartment of Preventive Medicine, College of Medicine, Dankook University, Cheonan, South Korea.
Ana Jiménez-ZabalaEnvironment Epidemiology and Child Development Area, BIODONOSTIA Health Research Institute, San Sebastian, Spain.
Leeka KheifetsDepartment of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, California.
Aitana LertxundiSpanish Consortium for Research on Epidemiology and Public Health, Instituto de Salud Carlos III, Madrid, Spain.
Hyung-Ryul LimDepartment of Preventive Medicine, College of Medicine, Dankook University, Cheonan, South Korea.
Jorn OlsenDepartment of Clinical Epidemiology, Aarhus University, Aarhus, Denmark.
Llúcia González SafontEpidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Universitat Jaume I-Universitat de València, Valencia, Spain.
Madhuri SudanDepartment of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, California.
Elisabeth CardisISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
Martine VrijheidISGlobal, Barcelona Institute for Global Health, Barcelona, Spain.
Tanja VrijkotteDepartment of Public Health, Amsterdam Public Research Institute, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Anke HussInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Results from studies evaluating potential effects of prenatal exposure to radio-frequency electromagnetic fields from cell phones on birth outcomes have been inconsistent. Using data on 55,507 pregnant women and their children from Denmark (1996-2002), the Netherlands (2003-2004), Spain (2003-2008), and South Korea (2006-2011), we explored whether maternal cell-phone use was associated with pregnancy duration and fetal growth. On the basis of self-reported number of cell-phone calls per day, exposure was grouped as none, low (referent), intermediate, or high. We examined pregnancy duration (gestational age at birth, preterm/postterm birth), fetal growth (birth weight ratio, small/large size for gestational age), and birth weight variables (birth weight, low/high birth weight) and meta-analyzed cohort-specific estimates. The intermediate exposure group had a higher risk of giving birth at a lower gestational age (hazard ratio = 1.04, 95% confidence interval: 1.01, 1.07), and exposure-response relationships were found for shorter pregnancy duration (P < 0.001) and preterm birth (P = 0.003). We observed no association with fetal growth or birth weight. Maternal cell-phone use during pregnancy may be associated with shorter pregnancy duration and increased risk of preterm birth, but these results should be interpreted with caution, since they may reflect stress during pregnancy or other residual confounding rather than a direct effect of cell-phone exposure.

Indexed as

Cell PhoneFetal DevelopmentAdultDenmarkFemaleGestational AgeHumansNetherlandsPregnancyPregnancy OutcomePremature BirthRepublic of KoreaRisk FactorsSpainTime Factorsbirth outcomescell phonesexposurepreterm birthradio-frequency electromagnetic fields

Identifiers

PMID30995291
PMCPMC6601518

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Registered trials

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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.