Evidence map›Paper›PMID 42845665›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Examining stability of dietary patterns across time using repeated measures of dietary intake: Results from Black Women's Health Study.

Briana Joy K Stephenson, Xuzhi Wang, Walter C Willett, Jessica L Petrick, Julie R Palmer

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In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

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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

5 authors.

Briana Joy K StephensonDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (BJKS,XW).ORCID 0000-0002-6147-1039
Xuzhi WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (BJKS,XW).ORCID 0000-0003-4326-691X
Walter C WillettDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (WCW).ORCID 0000-0003-1458-7597
Jessica L PetrickSlone Epidemiology Center at Boston University, Boston, MA, USA.ORCID 0000-0001-6580-450X
Julie R PalmerSlone Epidemiology Center at Boston University, Boston, MA, USA.ORCID 0000-0002-6534-335X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many epidemiological studies rely on dietary exposures taken from baseline only. This limits our understanding of diet-disease associations because it requires assuming a level of temporal stability, either by individuals or dietary pattern composition. Objectives: This study aimed to evaluate these analytic assumptions of pattern structure consistency and baseline adherence using a cohort of US Black women with repeated measures of food frequency questionnaires (FFQ). Methods: Data from 6151 Black women aged 21-69 from the Black Women's Health Study with complete FFQ data in 1995, 2001, 2013, and 2021 were evaluated for temporal stability. Baseline dietary patterns were derived using an overfitted latent class model. Parameter estimates from the baseline model were then applied to subsequent waves to track individual transitions between existing patterns. Dietary patterns were also derived at each time point using an overfitted latent class model and assessed for changes in pattern composition over time. Results: Five baseline dietary patterns were identified in 1995. Only 18% of participants remained in the same baseline dietary pattern across all four time points, while all others transitioned to a different baseline-derived pattern. Dietary patterns derived independently at subsequent time points, yielded a different number of dietary patterns at each time point (2001: 6 patterns, 2013: 5 patterns, 2021: 4 patterns). Correlation strength of subsequent derived patterns and baseline patterns significantly weakened in strength after 2001 (40% pairings > 0.5), with no patterns correlated greater than 0.5 in 2021. Conclusion: Prospective studies that rely on baseline dietary exposure data cannot assume stability of pattern composition or individual pattern adherence over time, as it ignores changes in dietary habits and may bias our understanding of the diet-disease pathway.

Identifiers

PMID42845665
PMCPMC13640813

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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.