Evidence map›Paper›PMID 39069014›Full record

ArticleThe American journal of clinical nutrition2024

Evaluation of daily eating patterns on overall diet quality using decision tree analyses.

Annie W Lin, Christopher A Colvin, Hrishikesh Kusneniwar, Faiza Kalam, Jennifer A Makelarski, Sougata Sen

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Article in The American journal of clinical nutrition, 2024. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Annie W LinThe Hormel Institute, University of Minnesota, Austin, MN, United States; Department of Preventive Medicine, Northwestern University, Chicago, IL, United States. Electronic address: awlin@umn.edu.
Christopher A ColvinDepartment of Nutrition and Public Health, Benedictine University, Lisle, IL, United States.
Hrishikesh KusneniwarDepartment of Computer Science and Information Systems, Birla Institute of Technology and Sciences, Pilani, Zuarinagar Goa, India.
Faiza KalamDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States.
Jennifer A MakelarskiSchool of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Sougata SenDepartment of Computer Science and Information Systems, Birla Institute of Technology and Sciences, Pilani, Zuarinagar Goa, India.

Funding

Cancer Prevention, Control, and Survivorship Research Training ProgramT32CA193193 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Brian L Hitsman, BETINA YANEZ · 2015 to 2026
$3.8M
NCI NIH HHS T32 CA193193
6 · The paper itself

Abstract

backgroundPreliminary evidence suggests that meal timing is associated with higher quality diets. Less is known about whether types of food consumed during specific eating episodes (i.e., day-level eating patterns) predict diet quality.

objectivesWe investigated the association between day-level eating patterns and diet quality.

methodsDecision tree models were built using 24-h dietary recall data from the National Health and Nutrition Examination Survey 2015 and 2017 cycles in a cross-sectional study. Sixteen food groups and 12 eating episodes (e.g., breakfast, lunch) were included as input parameters. Diet quality was scored using the Healthy Eating Index-2020 and categorized as higher or lower quality diets based on the median score. Mean decrease in impurity (MDI) ± standard deviation determined the relative contribution that day-level eating patterns had on diet quality; higher values represented greater contributions.

resultsWe analyzed 12,597 dietary recalls from 9347 United States adults who were aged 18 y and older with ≥1 complete recall. Meals (breakfast, lunch, dinner) and respective snacking episodes had the greatest variety of dietary groups that contributed to the Healthy Eating Index-2020 score. Any whole-grain intake at breakfast predicted a higher quality diet (MDI = 0.08 ± 0.00), followed by lower solid fat intake (<8.94 g; MDI = 0.07 ± 0.00) and any plant protein intake at dinner (MDI = 0.05 ± 0.00).

conclusionsDay-level eating patterns were associated with diet quality, emphasizing the relevance of both food type and timing in relation to a high-quality diet. Future interventions should investigate the potential impact of targeting food type and timing to improve diet quality.

Indexed as

Decision TreesDietFeeding BehaviorNutrition SurveysAdolescentAdultAgedCross-Sectional StudiesDiet, HealthyFemaleHumansMaleMealsMiddle AgedUnited StatesYoung Adultdiet qualityeating patternfood groupfood securityHealthy Eating Indexmeal timing

Identifiers

PMID39069014
PMCPMC11393402

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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.