Evidence map›Paper›PMID 37451323›Full record

ArticleAmerican journal of preventive medicine2023

Childhood Sugar-Sweetened Beverage Consumption: an Agent-Based Model of Context-Specific Reduction Efforts.

Matt Kasman, Ross A Hammond, Lydia Reader, Rob Purcell, Sally Guyer, Jody M Ganiban, Diane C Mitchell, Dana M Dabelea, Anna Bellatorre, Traci A Bekelman and 6 more

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Making evidence go further: Advancing synergy between agent-based modeling and randomized control trials.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

16 authors.

Matt KasmanCenter on Social Dynamics and Policy, Brookings Institution, Washington, District of Columbia. Electronic address: mkasman@brookings.edu.
Ross A HammondCenter on Social Dynamics and Policy, Brookings Institution, Washington, District of Columbia; Center for Public Health Systems Science, Brown School at Washington University, St Louis, Missouri; The Santa Fe Institute, Santa Fe, New Mexico.
Lydia ReaderCenter for Public Health Systems Science, Brown School at Washington University, St Louis, Missouri.
Rob PurcellCenter on Social Dynamics and Policy, Brookings Institution, Washington, District of Columbia.
Sally GuyerLeve Lab, University of Oregon, Eugene, Oregon.
Jody M GanibanDepartment of Psychology, The George Washington University, Washington, District of Columbia.
Diane C MitchellDepartment of Nutritional Sciences, Pennsylvania State University, University Park, Pennsylvania.
Dana M DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Anna BellatorreLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Traci A BekelmanLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Catherine C CohenLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Wei PerngLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Anna H GrummonDepartment of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
Allison J WuDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Emily OkenDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts.
Ken KleinmanDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts-Amherst, Amherst, Massachusetts.

Funding

Project-005U2COD023375 · OD · DUKE UNIVERSITY · PI Linda S Adair, Phillip Brian Smith · 2016 to 2026
$215.9M
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)U24OD023382 · OD · JOHNS HOPKINS UNIVERSITY · PI Diane J Catellier, LISA P JACOBSON · 2016 to 2026
$148.4M
The ECHO Measurement Core: A Framework and Resource for Assessing Environmental Exposure and Child HealthU24OD023319 · OD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Courtney K Blackwell, RICHARD GERSHON · 2016 to 2026
$43.7M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MARTIN TORRIANI · 1994 to 2026
$31.6M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
The Early Growth and Development Study Pediatric CohortUH3OD023389 · OD · UNIVERSITY OF OREGON · PI Jody M. Ganiban, Leslie Diane Leve · 2018 to 2026
$16.6M
The Early Life Exposome and Childhood Health - The Colorado Healthy Start 3 Cohort StudyUH3OD023248 · OD · UNIVERSITY OF COLORADO DENVER · PI Traci Allison Bekelman, Dana Dabelea · 2018 to 2026
$14.8M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Common and distinct early environmental influences on cardiometabolic and respiratory health: Mechanisms and methodsUH3OD023286 · OD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2018 to 2022
$11.7M
Lifecourse dietary exposures and offspring hepatic fat in early childhood: a nutrigenomic approachF32DK131757 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI COHEN, CATHERINE CIOFFI · 2022 to 2023
$104k
NIDDK NIH HHS F32 DK131757NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK056350NIDDK NIH HHS P30 DK092950NIH HHS U24 OD023319NIH HHS U24 OD023382NIH HHS U2C OD023375NIH HHS UH3 OD023248NIH HHS UH3 OD023286NIH HHS UH3 OD023389
6 · The paper itself

Abstract

introductionDespite widespread recognition among public health experts that childhood sugar-sweetened beverage consumption should be reduced, doing so has proven to be a challenge. An agent-based model of early childhood sugar-sweetened beverage consumption was applied to data from three high-quality, longitudinal cohort studies to gain insight into potentially effective intervention strategies across contexts.

methodsFrom 2021 to 2023, a single agent-based model design was applied to data sets derived from three separate cohorts of children followed from infancy to childhood, with very different populations and environments (participants recruited in 1999-2002; 2003-2010; and 2009-2014). After assessing its ability to reproduce observed consumption patterns across cohorts, it was used to simulate potential impacts of multiple intervention strategies across contexts.

resultsInterventions reducing home availability of sugar-sweetened beverages consistently had the largest potential effects. Impact differed between cohort settings: a complete decrease in availability resulted in an estimated 87% decrease in overall early childhood consumption for one of the cohorts, compared with 61% and 54% in the others. Reducing availability in center-based child care resulted in substantially greater reduction in one cohort relative to the other two.

conclusionsThere is untapped potential for strategies targeting children's sugar-sweetened beverage consumption in the home, but in some instances, other approaches might also yield meaningful effects. Tailoring approach to setting may be important, and agent-based models can be informative for doing so. This agent-based model has broad generalizability and potential to serve as a tool for designing effective, context-specific strategies to reduce childhood sugar-sweetened beverage consumption.

Indexed as

Sugar-Sweetened BeveragesChildChild CareChild HealthChild, PreschoolHumansLongitudinal StudiesPublic Health

Identifiers

PMID37451323
PMCPMC10787028

What OpenQuestion holds

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Registered trials

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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.