Evidence map›Paper›PMID 42879326›Full record

ArticlePLoS medicine2026

Associations of food processing and dietary risk factors with colorectal cancer incidence in the NIH-AARP Diet and Health Study: A cohort study.

Leila Abar, Caitlin P O'Connell, Hyokyoung G Hong, Kirsten A Herrick, Lisa Kahle, Jennifer L Lerman, Linda M Liao, Xuehong Zhang, Xinyuan Zhang, Longgang Zhao and 5 more

Abstract read
In one paragraph

Article in PLoS medicine, 2026. 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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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

15 authors.

Leila AbarMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
Caitlin P O'ConnellMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0003-1068-4584
Hyokyoung G HongBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0002-4280-6243
Kirsten A HerrickRisk Factor Assessment Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0001-8646-599X
Lisa KahleInformation Management Services (IMS), Inc., Calverton, Maryland, United States of America.
Jennifer L LermanRisk Factor Assessment Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0003-2705-8643
Linda M LiaoMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0002-1923-5294
Xuehong ZhangYale School of Nursing, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0002-8260-8508
Xinyuan ZhangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-2974-8392
Longgang ZhaoYale School of Nursing, Yale University, New Haven, Connecticut, United States of America.ORCID https://orcid.org/0000-0001-9254-1952
Sémi ZouiouichNutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID https://orcid.org/0000-0003-0263-3285
Rashmi SinhaMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.
Neha KhandpurDivision of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands.
Eurídice Martínez SteeleCentre for Epidemiological Studies in Health and Nutrition (NUPENS), University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-2907-3153
Erikka LoftfieldMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, United States of America.ORCID https://orcid.org/0000-0002-3573-8748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltra-processed foods (UPF) account for >50% of energy intake by US adults. UPF intake can include dietary components linked to lower colorectal cancer (CRC) risk, such as whole grain and dairy products, and others linked to higher CRC risk, such as processed meats, potentially explaining the heterogeneity of evidence for an association between UPF and CRC risk. Our goal was to estimate the associations of UPF and established CRC-related dietary factors, by UPF and non-UPF source, with CRC incidence in a large cohort study. METHODS AND

findingsUS adults, aged 50-71, who enrolled in the NIH-AARP Diet and Health Study in 1995-96, self-reported dietary intake using a food frequency questionnaire (FFQ). Median UPF intake was 293 g/1000 kcal/day or 43% of daily energy intake. We assigned disaggregated FFQ items to Nova classification and categorized UPF intake (g/1000 kcal/day) into sex-specific quintiles. Participants who were cancer-free at baseline (N = 461,682) were followed for cancer incidence through 2018, and 10,075 colorectal adenocarcinoma cases were diagnosed. We used multivariable-adjusted Cox proportional hazards regression models, adjusted for demographic, lifestyle, and health-related factors, including age, sex, race/ethnicity, education, physical activity, smoking, and alcohol drinking, to estimate associations for UPF and related dietary components with CRC incidence. UPF intake was not associated with CRC incidence (hazard ratio 5th versus 1st quintile 0.97; 95% confidence interval [0.91-1.03]; ptrend = 0.55). Whole grain, fiber, dairy, and calcium intakes from UPF sources were inversely but meat intake from UPF sources was positively associated with CRC incidence. The main limitations of the study relate to its observational design and include potential residual confounding and exposure misclassification owing to systematic or random error in self-reported dietary data.

conclusionsTotal UPF intake was not associated with incident CRC in this cohort of older, US adults. This may be explained, in part, by opposing associations of some UPF with CRC risk. Our findings support current dietary guidance to consume whole grains, fiber, dairy, and calcium and avoid processed meat for CRC prevention.

Indexed as

Colorectal NeoplasmsDietFood HandlingAgedCohort StudiesFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsUnited States

Identifiers

PMID42879326
PMCPMC13671506

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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.