Evidence map›Paper›PMID 30029096›Full record

ArticleEnvironment international2018

Maternal intake of pesticide residues from fruits and vegetables in relation to fetal growth.

Yu-Han Chiu, Paige L Williams, Matthew W Gillman, Russ Hauser, Sheryl L Rifas-Shiman, Andrea Bellavia, Abby F Fleisch, Emily Oken, Jorge E Chavarro

Abstract read
In one paragraph

Article in Environment international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Prenatal exposure to pesticide residues in the diet in association with child autism-related traits: Results from the EARLI study.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  4. Article
  5. Article
  6. 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

9 authors.

Yu-Han ChiuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. Electronic address: yuc187@mail.harvard.edu.
Paige L WilliamsDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Matthew W GillmanDivision of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA; Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA.
Russ HauserDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA.
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA; Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA.
Andrea BellaviaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Abby F FleischPediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME 04101, USA; Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME 04101, USA.
Emily OkenDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA; Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA.
Jorge E ChavarroDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA. Electronic address: jchavarr@hsph.harvard.edu.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI LOWELL, BRADFORD B · 1992 to 2021
$25.0M
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
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
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUG3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI KLEINMAN, KENNETH P., OKEN, EMILY · 2016 to 2017
$4.1M
Patient-oriented Research in Maternal Perinatal Overnutrition and Child AdiposityK24HD069408 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2011 to 2015
$844k
Air Pollution Exposure during Pregnancy, Maternal Glycemia, and OffspringGrowthK23ES024803 · NIEHS · MAINEHEALTH · PI FLEISCH, ABBY · 2015 to 2019
$835k
NICHD NIH HHS K24 HD069408NICHD NIH HHS R01 HD034568NIDDK NIH HHS P30 DK046200NIEHS NIH HHS K23 ES024803NIEHS NIH HHS P30 ES000002NIH HHS UG3 OD023286NIH HHS UH3 OD023286
6 · The paper itself

Abstract

objectivesTo examine the associations of maternal intake of fruits and vegetables (FVs), considering pesticide residue levels, with fetal growth.

methodsWe studied 1777 mothers (1275 white, 502 non-white) and their infants from Project Viva, a prospective pre-birth cohort (1999-2002). We categorized FVs as containing high or low pesticide residues using data from the US Department of Agriculture. We then used a food frequency questionnaire to estimate each participant's intake of high and low pesticide residue FVs in the first and second trimester. The primary outcomes were small-for-gestational-age (SGA; <10th percentile in birth-weight-for-gestational-age), large-for-gestational-age (LGA; ≥10th percentile in birth-weight-for-gestational-age) and preterm birth (gestational age <37 weeks). We also evaluated whether the associations between high pesticide residue FV intake and birth outcomes were modified by race/ethnicity.

results5.5% of newborns were SGA, 13.7% were LGA, and 7.3% were preterm. Intakes of high or low pesticide residue FVs, regardless of pregnancy trimester, were not associated with risks of SGA, LGA, or preterm birth. In addition, the associations of high pesticide FV intake with SGA and LGA were not modified by race/ethnicity. However, we observed heterogeneity in the relationship between first trimester high pesticide FV intake and risk of preterm birth by race/ethnicity (P value for interaction = 0.01), although this relationship did not persist after correction for multiple comparisons (Bonferroni corrected level of significance: P < 2.8 × 10

conclusionsThere were no clear associations between high or low pesticide FV intake during pregnancy with SGA, LGA or preterm birth.

Indexed as

Dietary ExposureFetal DevelopmentPesticide ResiduesAdultBirth WeightCohort StudiesFemaleFruitHumansInfant, NewbornMaleMaternal-Fetal ExchangeMothersPregnancyPregnancy Trimester, FirstPregnancy Trimester, SecondPesticide Residues

Identifiers

PMID30029096
PMCPMC6169789

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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.