Evidence map›Paper›PMID 35206461›Full record

Observational studyInternational journal of environmental research and public health2022

Using Metrics of a Mixture Effect and Nutrition from an Observational Study for Consideration towards Causal Inference.

Chris Gennings, Katherine Svensson, Alicja Wolk, Christian Lindh, Hannu Kiviranta, Carl-Gustaf Bornehag

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Chemical Element Mixtures and Kidney Function in Mining and Non-Mining Settings in Northern Colombia.International journal of environmental research and public health · 2023
    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

6 authors at 5 institutions in 3 countries.

Chris GenningsEnvironmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-6058-5907
Katherine SvenssonDepartment of Health Sciences, Karlstad University, 65188 Karlstad, Sweden.
Alicja WolkInstitute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden.
Christian LindhDivision of Occupational and Environmental Medicine, Lund University, 22381 Lund, Sweden.
Hannu KivirantaNational Institute for Health and Welfare, FI-00271 Helsinki, Finland.ORCID 0000-0002-7168-1611
Carl-Gustaf BornehagEnvironmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Karlstad University · SEFinnish Institute for Health and Welfare · FIIcahn School of Medicine at Mount Sinai · USLund University · SEUppsala University · SE

Funding

Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GENNINGS, CHRIS · 2015 to 2025
$26.4M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Integration of Mixtures Toxicology, Toxicogenomics, and StatisticsT32ES007334 · NIEHS · VIRGINIA COMMONWEALTH UNIVERSITY · PI WHEELER, DAVID CHARLES · 2002 to 2018
$2.5M
Methods for Data Integration and Risk Assessment for Environmental MixturesR01ES028811 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COULL, BRENT ANDREW, GENNINGS, CHRIS · 2018 to 2021
$1.9M
NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES028811NIEHS NIH HHS T32 ES007334NIEHS NIH HHS U2C ES026555
6 · The paper itself

Abstract

Environmental exposures to a myriad of chemicals are associated with adverse health effects in humans, while good nutrition is associated with improved health. Single chemical in vivo and in vitro studies demonstrate causal links between the chemicals and outcomes, but such studies do not represent human exposure to environmental mixtures. One way of summarizing the effect of the joint action of chemical mixtures is through an empirically weighted index using weighted quantile sum (WQS) regression. My Nutrition Index (MNI) is a metric of overall dietary nutrition based on guideline values, including for pregnant women. Our objective is to demonstrate the use of an index as a metric for more causally linking human exposure to health outcomes using observational data. We use both a WQS index of 26 endocrine-disrupting chemicals (EDCs) and MNI using data from the SELMA pregnancy cohort to conduct causal inference using g-computation with counterfactuals for assumed either reduced prenatal EDC exposures or improved prenatal nutrition. Reducing the EDC exposure using the WQS index as a metric or improving dietary nutrition using MNI as a metric, the counterfactuals in a causal inference with one SD change indicate significant improvement in cognitive function. Evaluation of such a strategy may support decision makers for risk management of EDCs and individual choices for improving dietary nutrition.

Indexed as

Endocrine DisruptorsEnvironmental PollutantsPrenatal Exposure Delayed EffectsBenchmarkingEnvironmental ExposureFemaleHumansPregnancyEndocrine DisruptorsEnvironmental Pollutantsendocrine disruptorsg-computationnutritional statusWQS regression

Identifiers

PMID35206461
PMCPMC8872366
OpenAlexW4213148719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.