Evidence map›Paper›PMID 31241129›Full record

ArticleAmerican journal of epidemiology2019

Invited Commentary: Interaction Between Diet and Chemical Exposures.

Amelia K Wesselink, Elizabeth E Hatch, Lauren A Wise

Abstract readComment
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 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. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Amelia K WesselinkDepartment of Epidemiology, Boston University School of Public Health, Boston, MA.
Elizabeth E HatchDepartment of Epidemiology, Boston University School of Public Health, Boston, MA.
Lauren A WiseDepartment of Epidemiology, Boston University School of Public Health, Boston, MA.

Funding

An internet-based preconception cohort study in North America and DenmarkR01HD086742 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAUREN A WISE · 2016 to 2026
$6.7M
A preconception cohort study of air pollution, fertility, and miscarriageR01ES028923 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LAUREN A WISE, Amelia Kent Wesselink · 2018 to 2026
$4.3M
NICHD NIH HHS R01 HD086742NIEHS NIH HHS R01 ES028923
6 · The paper itself

Abstract

A growing literature indicates that changes in modifiable factors, including diet, can counteract the toxic developmental and reproductive health effects of chemical exposures. In this issue of the Journal, Gaskins et al. (Am J Epidemiol. 2019;000(000):000-000) present data supporting this hypothesis. Specifically, using data on a cohort of 304 women seeking fertility treatment in Boston, Massachusetts, they found that women with higher exposure to ambient air pollutants had lower fertility treatment success but only when they also consumed <800 μg/day of supplemental folate. No association was observed among women consuming ≥800 μg/day of supplemental folate. The public health importance of this interaction is high: Diet and dietary supplement intake are modifiable factors, whereas exposure to air pollution is less so. While this research question is grounded in a strong biological hypothesis related to epigenetic modifications, oxidative stress, and inflammation, this study raises several key questions. In this commentary, we discuss the inconsistency of the interaction across exposure metrics, the possibility of unmeasured confounding by folate intake, and the importance of examining this association in populations with lower folate intake and/or higher exposure to air pollution.

Indexed as

Air PollutantsAir PollutionBostonDietFemaleFolic AcidHumansMassachusettsPregnancyAir PollutantsFolic Acidair pollutiondieteffect modificationfertilityfolate

Identifiers

PMID31241129
PMCPMC6736408

What OpenQuestion holds

Textmetadata
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.