Evidence map›Paper›PMID 41108089›Full record

ArticleAmerican journal of epidemiology2026

Estimating sex-specific population-level effects of limiting sugar-sweetened beverages or 100% fruit juices during childhood on insulin resistance, central adiposity, and glycemic outcomes in late adolescence.

Soren Harnois-Leblanc, Sheryl L Rifas-Shiman, Karen M Switkowski, Wei Perng, Izzuddin M Aris, Emily Oken, Jessica G Young, Marie-France Hivert

Registry-linked trialAbstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02820402 (Project Viva), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT02820402 active not recruitingnot on this map

Project Viva: a Longitudinal Study of Health for the Next Generation

TypeobservationalSponsorHarvard Pilgrim Health CareRan1999 to 2027Enrolled2,128ConditionsPediatric Obesity
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Soren Harnois-LeblancDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0001-5894-976X
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0003-0033-920X
Karen M SwitkowskiDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0001-8212-4354
Wei PerngDepartment of Epidemiology, Colorado School of Public Health, Aurora, CO, United States.ORCID 0000-0001-8552-6850
Izzuddin M ArisDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0002-9239-7476
Emily OkenDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0003-2513-3339
Jessica G YoungDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0002-2758-6932
Marie-France HivertDivision of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.ORCID 0000-0001-7752-2585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We estimated sex-specific population effects of hypothetical interventions to limit sugar sweetened-beverages (SSBs) and 100% fruit juice throughout childhood on central adiposity, insulin resistance, and glycemic outcomes in adolescence in Project Viva prebirth cohort. Among 481 females and 491 males, mothers reported beverage intake from 3 to 10 years from a food frequency questionnaire. The primary outcome was the homeostatic model assessment for insulin resistance (HOMA-IR), and secondary outcomes were waist circumference, truncal fat mass, fasting glucose, and glycated hemoglobin in late adolescence. We applied inverse probability weighting of longitudinal marginal structural models to account for baseline and time-varying confounding, and censoring. We estimated that limiting SSBs to 1 serving weekly across childhood would reduce HOMA-IR by 0.28 units (95% confidence interval [CI], -0.61 to 0.02), waist circumference by 1.91 cm (95% CI, -3.79 to -0.05), truncal fat mass by 0.64 kg (95% CI, -1.33 to 0.05), and fasting glucose by 1.02 mg/dL (95% CI, -2.40 to 0.35) in males compared to no intervention. In females, effect estimates were near 0 and less precise than males. Effect estimates for 100% fruit juice were small, with imprecise CI in both sexes. Overall, limiting SSBs in childhood may have small effects on insulin resistance, central adiposity, and glycemia in males in this population of low consumers. Trial registration: NCT02820402; https://clinicaltrials.gov/study/NCT02820402.

Indexed as

Blood GlucoseFruit and Vegetable JuicesInsulin ResistanceObesity, AbdominalSugar-Sweetened BeveragesAdiposityAdolescentChildChild, PreschoolFemaleGlycated HemoglobinHumansLongitudinal StudiesMaleSex FactorsWaist CircumferenceBlood GlucoseGlycated Hemoglobinadipositychildrenfruit juiceinsulin resistancemarginal structural modelsprediabetessugar-sweetened beveragestype 2 diabetes

Identifiers

PMID41108089
PMCPMC13017498

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Registered trials

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.