Evidence map›Paper›PMID 42015373›Full record

ArticleJournal of the National Cancer Institute2026

Ultraprocessed food intake and postmenopausal breast cancer risk in the NIH-AARP Diet and Health Study.

Caitlin P O'Connell, Kaelyn F Burns, Hyokyoung G Hong, Lisa Kahle, Linda M Liao, Jessica M Madrigal, Camella J Rising, Rashmi Sinha, Neha Khandpur, Eurídice Martínez Steele and 2 more

Abstract read
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In one paragraph

Article in Journal of the National Cancer Institute, 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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1 · What the graph read from it

What it found

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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

12 authors.

Caitlin P O'ConnellMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.
Kaelyn F BurnsMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0003-2544-1067
Hyokyoung G HongBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0002-4280-6243
Lisa KahleInformation Management Services, Inc., Calverton, MD, United States.
Linda M LiaoMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0002-1923-5294
Jessica M MadrigalOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.
Camella J RisingClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.
Rashmi SinhaMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0002-2466-7462
Neha KhandpurDivision of Human Nutrition and Health, Wageningen University, Wageningen, Netherlands.
Eurídice Martínez SteeleNUPENS, School of Public Health, University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-2907-3153
Gretchen GierachIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0002-0165-5522
Erikka LoftfieldMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, United States.ORCID 0000-0002-3573-8748

Funding

NIH HHSUS Department of Health and Human Services
6 · The paper itself

Abstract

backgroundUltraprocessed food (UPF) intake is associated with obesity. Despite obesity being a risk factor for postmenopausal breast cancer, evidence for an association between UPF and breast cancer is limited. Our objective was to assess the association between UPF intake and postmenopausal breast cancer risk in the NIH-AARP Diet and Health Study.

methodsParticipants reported dietary intake via a food frequency questionnaire at baseline in 1995-1996 and were followed through 2018. Food items were disaggregated into food codes and assigned Nova classification via database linkage. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for quintiles of UPF (g (1000 kcal day-1)-1) and postmenopausal breast cancer risk overall, by estrogen receptor (ER) status, and type (invasive or ductal carcinoma in situ [DCIS]), with and without adjustment for body mass index (BMI).

resultsAmong 181 460 postmenopausal women, 14 484 were diagnosed with breast cancer over a median 21 years of follow-up. Median (interquartile range) UPF intake was 284.6 (191.1-466.6) g (1000 kcal day-1)-1. No associations between UPF intake and postmenopausal breast cancer risk overall (HRQ5 vs Q1 = 0.98, 95% CI = 0.93 to 1.03; P = .32 for trend), by ER status (ER+: HRQ5 vs Q1 = 1.01, 95% CI = 0.94 to 1.09; P = .95 for trend; ER-: HRQ5 vs Q1 = 1.02, 95% CI = 0.87 to 1.20; P = .58 for trend), or by type (invasive: HRQ5 vs Q1 = 0.98, 95% CI = 0.92 to 1.04; P = .14 for trend; DCIS HRQ5 vs Q1 = 1.00, 95% CI = 0.87 to 1.13; P = .26 for trend) were observed. Following BMI adjustment, inverse trends for overall (P = .03 for trend) and invasive (P = .01 for trend) breast cancer were observed. CONCLUSION(S): UPF intake was not associated with postmenopausal breast cancer in the NIH-AARP cohort. Inverse trends observed after adjusting for BMI are likely spurious, owing to overadjustment.

Indexed as

Breast NeoplasmsDietPostmenopauseAgedBody Mass IndexFemaleHumansMiddle AgedObesityProportional Hazards ModelsProspective StudiesReceptors, EstrogenRisk FactorsUnited StatesReceptors, Estrogen

Identifiers

PMID42015373

What OpenQuestion holds

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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.