Evidence map›Paper›PMID 40068585›Full record

ArticleInternational journal of hygiene and environmental health2025

Degree of food processing and serum poly- and perfluoroalkyl substance concentrations in the US National Health and Nutrition Examination Survey, 2003-2018.

Diana C Pacyga, Jessie P Buckley, Euridice Martinez-Steele, Paige A Bommarito, Kelly K Ferguson, Danielle R Stevens

Abstract read
In one paragraph

Article in International journal of hygiene and environmental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Diana C PacygaDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: pacygadi@unc.edu.
Jessie P BuckleyDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Euridice Martinez-SteeleSchool of Public Health, Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Paige A BommaritoEpidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.
Kelly K FergusonEpidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.
Danielle R StevensEpidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Novel Tools for the Noninvasive Evaluation of the Human PlacentaR01HD086313 · NICHD · EASTERN VIRGINIA MEDICAL SCHOOL · PI ABUHAMAD, ALFRED Z, SAADE, GEORGE R. · 2015 to 2018
$2.7M
Early Life Phthalate and Perfluoroalkyl Substance Exposures and Childhood Bone HealthR01ES030078 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUCKLEY, JESSIE P · 2019 to 2023
$2.1M
NICHD NIH HHS R01 HD086313NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES030078NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

backgroundUltra-processed foods account for >50% of total energy consumed among U.S. individuals and may be a source of poly- and perfluoroalkyl substances (PFAS) exposure - chemicals linked with cancer/cardiometabolic disorders.

objectiveTo evaluate associations between degree of food processing and PFAS exposure.

methodsSerum concentrations of seven PFAS were analyzed in 11,530 individuals ≥12-years-old from the U.S. National Health and Nutrition Examination Survey (2003-2018). We averaged responses from two 24-h dietary recalls to calculate relative energy intakes of unprocessed/minimally processed foods, processed culinary ingredients, processed foods, and ultra-processed foods using the Nova food classification system. We estimated percent differences in concentrations (β; PFAS with ≥70% detection) or odds ratios of detection (OR; PFAS with <70% detection) using linear or logistic regression, respectively. We explored associations stratified by cycle, life stage, sex, body mass index, race/ethnicity, and poverty/income ratio.

resultsEach 10% increase in ultra-processed food intake was associated with higher serum perfluorohexanesulfonic acid (PFHxS; β: 1.40; 95%CI: -0.12, 2.94), but lower perfluorodecanoic acid (PFDA; β: -4.41; 95%CI: -5.55, -3.26) and perfluoroundecanoic acid (PFUnDA; OR: 0.82; 95%CI: 0.79, 0.86) concentrations. Positive associations between ultra-processed foods and PFHxS were driven by adolescents and under-/normal weight individuals. Additionally, each 10% increase in unprocessed/minimally processed food intake was associated with lower perfluorooctanoic acid (PFOA; β: -1.10; 95%CI: -2.38, 0.20) and PFHxS (β: -1.50; 95%CI: -3.03, 0.06), but higher perfluorononanoic acid (PFNA; β: 1.71; 95%CI: 0.24, 3.21), PFDA (β: 5.33; 95%CI: 3.78, 6.90), and PFUnDA (OR: 1.22; 95%CI: 1.16, 1.27). Positive and negative associations of unprocessed/minimally processed foods and ultra-processed foods, respectively, with PFDA and PFUnDA were strongest in recent survey cycles, males, and non-Hispanic Asians. SIGNIFICANCE: Unprocessed/minimally processed foods, more than ultra-processed, were associated with serum PFAS concentrations. Efforts should focus on eliminating PFAS from multiple parts of the food chain.

Indexed as

Environmental PollutantsFluorocarbonsFood ContaminationFood HandlingAdolescentAdultAgedChildDecanoic AcidsFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesYoung AdultDecanoic AcidsEnvironmental PollutantsFluorocarbonsNHANESNovaPFASUltra-processed foodsUnprocessed/minimally processed foods

Identifiers

PMID40068585
PMCPMC12018131

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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.