Evidence map›Paper›PMID 32362508›Full record

ArticleAmerican journal of preventive medicine2020

Distributional Changes in U.S. Sugar-Sweetened Beverage Purchases, 2002-2014.

Pourya Valizadeh, Barry M Popkin, Shu Wen Ng

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2020. 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. Reducing Unhealthy Normative Behavior: The Case of Sports and Energy Drinks.Health education & behavior : the official publication of the Society for Public Health Education · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. 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

3 authors.

Pourya ValizadehCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina. Electronic address: pouryav@email.unc.edu.
Barry M PopkinCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Shu Wen NgCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
SES and race-ethnic disparities in food purchasing and dietary intake:2000-2015R01DK098072 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2013 to 2017
$3.2M
NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924NICHD NIH HHS T32 HD007168NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK098072
6 · The paper itself

Abstract

introductionU.S. policy actions focus on reducing sugar-sweetened beverage purchases. Yet, there are no studies on trends in overall purchase distribution and how it has changed by key subpopulations. This study examined changes in distributions of total sugar-sweetened beverage purchases and its major subtypes (regular carbonated soft drinks and fruit/sports/energy drinks) in 2002-2014 and distinguished among low, moderate, and high purchasers.

methodsLongitudinal data on sugar-sweetened beverage purchases of U.S. households from the 2002-2014 Nielsen Homescan Panel were used. Sugar-sweetened beverages were defined as all caloric non-alcoholic beverages containing added sugars. Longitudinal quantile regression model examined trends across distributions (from quantile 25 to 95) of purchases (measured in kcal/day/capita), while accounting for households' unobserved differences. All statistical analyses were conducted in 2019.

resultsAll households across the total purchase distribution significantly reduced their purchases. High purchasers made less proportional reductions than low purchasers (e.g., 35% at 95th quantile vs 62% at 25th quantile). However, the smaller relative reductions among higher purchasers translated into larger absolute decreases (e.g., 134 kcal/day/capita at 95th quantile vs 23 kcal/day/capita at 25th quantile). Similar patterns in heterogeneity were observed across sugar-sweetened beverage subtype distributions and among racial/ethnic and income groups. In addition, there were significant racial/ethnic and income disparities in total sugar-sweetened beverage purchases in 2002-2003. Although racial/ethnic disparities among higher purchasers improved, income disparity patterns at all purchase levels persisted into 2013-2014.

conclusionsFrom 2002‒2003 to 2013-2014, U.S. households at all purchase levels made meaningful reductions in sugar-sweetened beverage purchases in both absolute and relative terms. Furthermore, racial/ethnic disparities in total sugar-sweetened beverage purchases narrowed, but income disparity patterns persisted.

Indexed as

Consumer BehaviorSugar-Sweetened BeveragesBeveragesChildEnergy IntakeFamily CharacteristicsHumansIncome

Identifiers

PMID32362508
PMCPMC7375910

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.