Evidence map›Paper›PMID 23260723›Full record

ArticleJournal of the Academy of Nutrition and Dietetics2013

Consumption patterns of sugar-sweetened beverages in the United States.

Euna Han, Lisa M Powell

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the Academy of Nutrition and Dietetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04165304 (Impact on Drinking Behaviour in Sixth-grade Students Through Changing the School Environment), which is not on this map. Cited by 312 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
312citing papers in PubMed, 5 pooled it
44.0field-weighted citation impact, top 1% of its field
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.

NCT04165304 naterminatednot on this mapstarted 2019, after this paper: background citation

Impact on Drinking Behaviour in Sixth-grade Students Through Changing the School Environment

TypeinterventionalSponsorSpecial Institute for Preventive Cardiology And NutritionRan2019 to 2020Enrolled431ConditionsStudents of the 6. GradeArmssugar reduction
3 · Its place in the literature

Who cites it

312 citing papers in PubMed, 5 syntheses or guidelines pooled it, 624 citations in OpenAlex.

  1. The Impact of Front-of-Pack Labeling on Social Inequality in Sugar Consumption and Purchase: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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  3. The role of incidental affective states in appetitive risk behavior: A meta-analysis.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020
    Pooled it
  4. Measuring beverage consumption in US children and adolescents: a systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2018
    Pooled it
  5. Pooled it
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252 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

Euna HanCollege of Pharmacy and Gachon Institue of Pharmaceutical Sciences, Gachon University, Inchon, South Korea. eahan@gachon.ac.kr
Lisa M Powell
Gachon University · KRUniversity of Illinois Chicago · US

Funding

Economic Contextual Influences on Population Diet and ObesityR01HL096664 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI POWELL, LISA · 2009 to 2010
$1.1M
NHLBI NIH HHS R01 HL096664NHLBI NIH HHS R01HL096664PHS HHS 11IPA1102973
6 · The paper itself

Abstract

backgroundFew previous studies have investigated consumption distributions of sugar-sweetened beverages (SSBs) over time and individual-level associations despite recent interest in SSBs regarding obesity control.

objectiveTo assess consumption patterns and individual-level associations.

designTrend and cross-sectional analyses of 24-hour dietary recall data and demographic characteristics and socioeconomic status (SES) drawn from National Health and Nutrition Examination Survey (1999-2000, 2001-2002, 2003-2004, 2005-2006, and 2007-2008) data. PARTICIPANTS/

settingChildren (aged 2 to 11 years, n=8,627), adolescents (aged 12 to 19 years, n=8,922), young adults (aged 20 to 34 years, n=5,933), and middle-aged and elder adults (aged ≥35 years, n=16,456). STATISTICAL ANALYSES PERFORMED: Age-stratified regression analyses for SSBs overall and by subtypes.

resultsThe prevalence of heavy total SSB consumption (≥500 kcal/day) increased among children (4% to 5%) although it decreased among adolescents (22% to 16%) and young adults (29% to 20%). Soda was the most heavily consumed SSB in all age groups except for children. Prevalence of soda consumption decreased, whereas heavy sports/energy drink consumption tripled (4% to 12%) among adolescents. Black children and adolescents showed higher odds of heavy fruit drink consumption (odds ratios 1.71 and 1.67) than whites. Low-income children had a higher odds of heavy total SSB consumption (odds ratio 1.93) and higher energy intake from total SSBs and fruit drinks (by 23 and 27 kcal/day) than high-income children. Adolescents with low- vs high-educated parents had higher odds of heavy total SSB consumption (odds ratio 1.28) and higher energy intake from total SSBs and soda (by 27 and 21 kcal/day). Low vs high SES was associated with a higher odds of heavy consumption of total SSBs, soda, and fruit drinks among adults.

conclusionsPrevalence of soda consumption fell, but consumption of nontraditional SSBs rose. Heterogeneity of heavy consumption by SSB types across racial/ethnic subpopulations and higher odds of heavy SSB consumption among low-SES populations should be considered in targeting policies to encourage healthful beverage consumption.

Indexed as

Energy IntakeNutrition SurveysAdolescentAdultBeveragesCarbonated BeveragesChildChild, PreschoolCross-Sectional StudiesDietary SucroseFemaleHumansMaleMental RecallMiddle AgedObesityDietary Sucrose

Identifiers

PMID23260723
PMCPMC3662243
OpenAlexW1984377446

What OpenQuestion holds

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Read underepoch 390

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.