Evidence map›Paper›PMID 40640735›Full record

Observational studyBMC public health2025

Differences in children's food and beverage consumption between school and summer: three-year findings from the what's UP (Undermining Prevention) with summer observational cohort study.

Michael W Beets, Sarah Burkart, Christopher D Pfledderer, Elizabeth Adams, R Glenn Weaver, Bridget Armstrong, Keith Brazendale, Xuanxuan Zhu, Alexander McLain, Gabrielle Turner-McGrievy and 8 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Michael W BeetsArnold School of Public Health, University of South Carolina, Columbia, SC, USA. beets@mailbox.sc.edu.
Sarah BurkartArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Christopher D PfleddererSchool of Public Health, UT Health Houston, Austin, TX, USA.
Elizabeth AdamsArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
R Glenn WeaverArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Bridget ArmstrongArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Keith BrazendaleDepartment of Health Sciences, University of Central Florida, Orlando, FL, USA.
Xuanxuan ZhuArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Alexander McLainArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Gabrielle Turner-McGrievyArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Russell PateArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Andrew KaczynskiArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Amanda FairchildCollege of Arts and Sciences, University of South Carolina, Columbia, SC, USA.
Brian SaelensSeattle Children's Hospital, Seattle, WA, USA.
Hannah ParkerArnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Amy L YarochCenter for Nutrition & Health Impact, Omaha, NE, USA.
Emily EglitisUniversity of South Australia, Adelaide, Australia.
Anthony J HolmesArnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Funding

What's UP (Undermining Prevention) with Summer? Etiology of Accelerated Weight Gain during Summer vs. School YearR01DK116665 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI MICHAEL W BEETS · 2018 to 2026
$5.8M
NIDDK NIH HHS R01 DK116665NIH HHS R01DK116665
6 · The paper itself

Abstract

backgroundSummer vacation is a time when youth gain excessive weight. A key driver of unhealthy weight gain is poor dietary quality. The absence of consistent structure (e.g., school), is hypothesized to be one of the reasons for lower diet quality during summer. This study examined differences in school and summer dietary quality among a diverse cohort of children across three years. We also examined the impact of attending structured programs on children's diets.

methodsParents of 1,032 children (age 5-14 years, 48% girls) completed a time use diary each day for 14-days during school (April/May) and again in summer (July) from 2021 to 2023, for a total of 6 timepoints. The daily diary collected information on the child's location and dietary intake for that day. Mixed-effects models examined the odds (OR) of consuming a food/beverage (e.g., fruit, vegetable, soda, salty snacks) on a given day during school vs. summer, overall and by income. Models also examined the impact of attending structured programming during summer (e.g., summer day camp) on the likelihood of consumption.

resultsA total of 39,983 time use diaries were completed. Overall, children were less likely to consume fruit, vegetables, milk, 100% juice, and salty snacks (OR range 0.63 to 0.87), and they were more likely to consume non-carbonated sweetened beverages, soda, frozen desserts, and fast food (OR range 1.17 to 1.63) during the summer compared to school. On summer days with structured programming, children were more likely to consume fruits, vegetables, milk, salty snacks, sweetened beverages (OR range 1.13 to 1.45), and they were less likely to consume frozen desserts, fast food, and soda (OR range 0.63 to 0.90). Few differences were observed between income groups.

conclusionsChildren were less likely to report consumption of healthier foods/beverages and more likely to report consumption of unhealthier foods/beverages during summer compared to school. Attending structured programming during summer is associated with improved diet- suggesting such settings have potential to modify dietary intake.

Indexed as

BeveragesDietSchoolsSeasonsAdolescentChildChild, PreschoolCohort StudiesFemaleHumansMaleChildrenDietLow-incomePovertyVacation

Identifiers

PMID40640735
PMCPMC12243411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.