Evidence map›Paper›PMID 36041179›Full record

ArticleThe American journal of clinical nutrition2022

An agent-based model of child sugar-sweetened beverage consumption: implications for policies and practices.

Matt Kasman, Ross A Hammond, Rob Purcell, Benjamin Heuberger, Travis R Moore, Anna H Grummon, Allison J Wu, Jason P Block, Marie-France Hivert, Emily Oken and 1 more

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Systems Science in Nutrition and Dietetics Research: A Practical Lens for Applying Systems Approaches in Research.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. 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
  7. 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

11 authors.

Matt KasmanCenter on Social Dynamics and Policy, Brookings Institution, Washington, DC, USA.ORCID 0000-0002-0860-3442
Ross A HammondCenter on Social Dynamics and Policy, Brookings Institution, Washington, DC, USA.
Rob PurcellCenter on Social Dynamics and Policy, Brookings Institution, Washington, DC, USA.
Benjamin HeubergerCenter on Social Dynamics and Policy, Brookings Institution, Washington, DC, USA.
Travis R MooreChildObesity180, Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Anna H GrummonDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Allison J WuDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Jason P BlockDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Marie-France HivertDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0001-7752-2585
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.ORCID 0000-0003-2513-3339
Ken KleinmanDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts-Amherst, Amherst, MA, USA.

Funding

Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
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
NICHD NIH HHS R01 HD034568NIDDK NIH HHS P30 DK092950NIH HHS 4UH3OD023286-03NIH HHS UH3 OD023286
6 · The paper itself

Abstract

backgroundA strong body of evidence links young children's intake of sugar-sweetened beverages (SSBs) with myriad negative outcomes.

objectivesOur research provides insight into whether and to what extent potential intervention strategies can reduce young children's consumption of SSBs.

methodsWe built an agent-based model (ABM) of SSB consumption representing participants in the Project Viva longitudinal study between ages 2 and 7 y. In addition to extensive data from Project Viva, our model used nationally representative data as well as recent, high-quality literature. We tested the explanatory power of the model through comparison to consumption patterns observed in the Project Viva cohort. Then, we applied the model to simulate the potential impact of interventions that would reduce SSB availability in 1 or more settings or affect how families receive and respond to pediatrician advice.

resultsOur model produced age-stratified trends in beverage consumption that closely match those observed in Project Viva cohort data. Among the potential interventions we simulated, reducing availability in the home-where young children spend the greatest amount of time-resulted in the largest consumption decrease. Removing access to all SSBs in the home resulted in them consuming 1.23 (95% CI: 1.21, 1.24) fewer servings of SSBs per week on average between the ages of 2 and 7 y, a reduction of ∼60%. By comparison, removing all SSB availability outside of the home (i.e., in schools and childcare) had a smaller impact (0.77; CI: 0.75, 0.78), a reduction of ∼40%.

conclusionsThese results suggest that interventions reducing SSB availability in the home would have the strongest effects on SSB consumption.

Indexed as

Sugar-Sweetened BeveragesBeveragesChildChild, PreschoolHumansLongitudinal StudiesPolicySweetening AgentsSweetening Agentsagent-based modelingchildcare food environmentchild nutritionhome food environmentschool food environmentsugar-sweetened beverages

Identifiers

PMID36041179
PMCPMC9535525

What OpenQuestion holds

Textmetadata
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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.