Evidence map›Paper›PMID 32086073›Full record

ArticleEnvironment international2020

Dietary characteristics associated with plasma concentrations of per- and polyfluoroalkyl substances among adults with pre-diabetes: Cross-sectional results from the Diabetes Prevention Program Trial.

Pi-I D Lin, Andres Cardenas, Russ Hauser, Diane R Gold, Ken P Kleinman, Marie-France Hivert, Abby F Fleisch, Antonia M Calafat, Marco Sanchez-Guerra, Citlalli Osorio-Yáñez and 3 more

Abstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

13 authors.

Pi-I D LinDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA. Electronic address: debbylin@mail.harvard.edu.
Andres CardenasDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA.
Russ HauserDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Diane R GoldDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Ken P KleinmanDepartment of Biostatistics, School of Public Health and Human Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Marie-France HivertDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA.
Abby F FleischPediatric Endocrinology and Diabetes, Maine Medical Center, Portland, ME, USA; Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, Portland, ME, USA.
Antonia M CalafatDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Marco Sanchez-GuerraDepartment of Developmental Neurobiology, National Institute of Perinatology, Mexico City, Mexico.
Citlalli Osorio-YáñezInstituto de Investigaciones Biomédicas, Universidad Nacional Autonoma de Mexico, Ciudad de Mexico, Mexico.
Thomas F WebsterDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Edward S HortonJoslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.

Funding

Long-term prospective associations of PFAS with musculoskeletal and cardiovascular health among older adultsR01ES024765 · NIEHS · HARVARD PILGRIM HEALTH CARE, INC. · PI Abby Fleisch, Emily Oken · 2015 to 2026
$3.9M
Prospective associations of childhood PFAS with metabolomic profiles, pubertal timing, and bone healthR01ES030101 · NIEHS · MAINEHEALTH · PI Abby Fleisch · 2019 to 2026
$3.6M
Air Pollution Exposure during Pregnancy, Maternal Glycemia, and OffspringGrowthK23ES024803 · NIEHS · MAINEHEALTH · PI FLEISCH, ABBY · 2015 to 2019
$835k
NIEHS NIH HHS K23 ES024803NIEHS NIH HHS R01 ES024765NIEHS NIH HHS R01 ES030101
6 · The paper itself

Abstract

Diet is assumed to be the main source of exposure to per- and polyfluoroalkyl substances (PFAS) in non-occupationally exposed populations, but studies on the diet-PFAS relationship in the United States are scarce. We extracted multiple dietary variables, including daily intakes of food group, diet scores, and dietary patterns, from self-reported dietary data collected at baseline (1996-1999) from adults with pre-diabetes enrolled in the Diabetes Prevention Program, and used linear regression models to evaluate relationships of each dietary variable with plasma concentrations of six PFAS (perfluorooctane sulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorohexane sulfonic acid (PFHxS), 2-(N-ethyl-perfluorooctane sulfonamido) acetic acid (EtFOSAA), 2-(N-methyl-perfluorooctane sulfonamido) acetic acid (MeFOSAA), perfluorononanoic acid (PFNA) adjusting for covariates. Participants (N = 941, 65% female, 58% Caucasian, 68% married, 75% with higher education, 95% nonsmoker) had similar PFAS concentrations compared to the general U.S. population during 1999-2000. Using a single food group approach, fried fish, other fish/shellfish, meat and poultry had positive associations with most PFAS plasma concentrations. The strongest effect estimate detected was between fried fish and PFNA [13.6% (95% CI: 7.7, 19.9) increase in median concentration per SD increase]. Low-carbohydrate and high protein diet score had positive association with plasma PFHxS. Some food groups, mostly vegetables and fruits, and the Dietary Approaches to Stop Hypertension diet score had inverse associations with PFOS and MeFOSAA. A vegetable diet pattern was associated with lower plasma concentrations of MeFOSAA, while high-fat meat and low-fiber and high-fat grains diet patterns were associated with higher plasma concentrations of PFOS, PFHxS, MeFOSAA and PFNA. We summarized four major dietary characteristics associated with variations in PFAS plasma concentrations in this population. Specifically, consuming more meat/fish/shellfish (especially fried fish, and excluding Omega3-rich fish), low-fiber and high-fat bread/cereal/rice/pasta, and coffee/tea was associated with higher plasma concentrations while dietary patterns of vegetables, fruits and Omega-3 rich fish were associated with lower plasma concentrations of some PFAS.

Indexed as

Alkanesulfonic AcidsDiabetes Mellitus, Type 2DietEnvironmental PollutantsFluorocarbonsPrediabetic StateAnimalsCross-Sectional StudiesFemaleMaleSeafoodUnited StatesAlkanesulfonic AcidsEnvironmental PollutantsFluorocarbonsDietDietary patternDiet scoreFood intakePer- and polyfluoroalkyl substancesPrediabetic adults

Identifiers

PMID32086073
PMCPMC7517661

What OpenQuestion holds

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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.