Evidence map›Paper›PMID 29777969›Full record

ArticleEating behaviors2018

Multicontextual correlates of adolescent sugar-sweetened beverage intake.

Allison W Watts, Jon Miller, Nicole I Larson, Marla E Eisenberg, Mary T Story, Dianne Neumark-Sztainer

Abstract read
In one paragraph

Article in Eating behaviors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
  4. How does the Kids SIPAmerican journal of agricultural economics · 2026
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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

6 authors.

Allison W WattsDivision of Epidemiology and Community Health, University of Minnesota, 1300 South 2(nd) Street, Suite 300, Minneapolis, MN 55454, USA. Electronic address: awwatts@umn.edu.
Jon MillerDivision of Epidemiology and Community Health, University of Minnesota, 1300 South 2(nd) Street, Suite 300, Minneapolis, MN 55454, USA.
Nicole I LarsonDivision of Epidemiology and Community Health, University of Minnesota, 1300 South 2(nd) Street, Suite 300, Minneapolis, MN 55454, USA.
Marla E EisenbergDepartment of Pediatrics and Adolescent Health, University of Minnesota, 717 Delaware St SE, Minneapolis, MN 55414, USA.
Mary T StoryCommunity and Family Medicine and Global Health, Duke University, Duke Global Health Institute, Box 90519, Durham, NC 27708, USA.
Dianne Neumark-SztainerDivision of Epidemiology and Community Health, University of Minnesota, 1300 South 2(nd) Street, Suite 300, Minneapolis, MN 55454, USA.

Funding

Cancer Related Health Disparities Training ProgramT32CA163184 · NCI · UNIVERSITY OF MINNESOTA · PI MICHELE L ALLEN, Irina Stepanov · 2016 to 2026
$3.4M
EAT 2010-2018: A Longitudinal, Multi-Contextual Study of Weight-related ProblemsR01HL127077 · NHLBI · UNIVERSITY OF MINNESOTA · PI NEUMARK-SZTAINER, DIANNE R · 2016 to 2017
$1.4M
NCI NIH HHS T32 CA163184NHLBI NIH HHS R01 HL127077
6 · The paper itself

Abstract

purposeTo examine personal, home, peer, school, neighborhood, and media correlates of sugar-sweetened beverage (SSB) intake in a diverse sample of adolescents.

methodsCross-sectional, population-based study (EAT 2010: Eating and Activity in Teens) of 2793 adolescents (54% female, mean age [SD] = 14.5 [2.0], 80% nonwhite) attending public secondary schools in Minneapolis-St. Paul, Minnesota. Adolescents completed a food frequency questionnaire and answered survey questions about their diet/health perceptions and behaviors. Socio-environmental data were collected from parents/caregivers, peers, school personnel, Geographic Information Systems (e.g., distance to food outlet), and a content analysis of favorite TV shows. Individual and mutually adjusted mixed-effects regression models examined associations between multi-contextual factors and estimated daily servings of SSB, controlling for relevant covariates.

resultsThe contextual factors examined accounted for 24% of the variance in adolescents' SSB consumption. The proportion of variance explained by each context was 13% personal, 16% home/family, 3% peer, 1% school, 0.1% media, and 0% neighborhood. The strongest correlate of SSB intake was home soda availability (adjusted for covariates: β = 0.26, p < 0.01; adjusted for all multi-contextual factors: β = 0.18, p < 0.01). Other significant correlates of SSB intake included personal behaviors (e.g., fast food intake, sleep), home/family factors (e.g., parent modeling) and peer influences (e.g., friends' SSB intake).

conclusionsPublic health policies and programs to reduce adolescent SSB intake should target personal behaviors (e.g., limit fast food, encourage adequate sleep), address the home setting (e.g., help parents to reduce SSB availability and model healthy eating habits) and involve peers (e.g., identify and enable peers to model healthy eating behaviors).

Indexed as

BeveragesFeeding BehaviorSweetening AgentsAdolescentCross-Sectional StudiesDietary SugarsFemaleHumansMaleMinnesotaMultivariate AnalysisRisk FactorsSocial EnvironmentSurveys and QuestionnairesDietary SugarsSweetening AgentsAdolescentsEating behaviorsEnvironmentSugar-sweetened beverages

Identifiers

PMID29777969
PMCPMC6314180

What OpenQuestion holds

Textmetadata
LicenceTDM
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.