Evidence map›Paper›PMID 35361242›Full record

ArticleThe international journal of behavioral nutrition and physical activity2022

Secular trends and customer characteristics of sweetened beverage and water purchasing at US convenience and other small food stores, 2014-2017.

Megan R Winkler, Kathleen Lenk, Darin Erickson, Melissa N Laska

Abstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Commercial Determinants of Latinx Health: A Scoping Review of Sugar-Sweetened Beverages in the USA.International journal of environmental research and public health · 2026
    Article
  4. Article
  5. 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

4 authors.

Megan R WinklerDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, 1518 Clifton Rd, Atlanta, GA, 30322, USA. megan.winkler@emory.edu.ORCID 0000-0001-8567-145X
Kathleen LenkDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Darin EricksonDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Melissa N LaskaDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Impact of a Local Staple Food Ordinance on Food Choice and Calories PurchasedR01DK104348 · NIDDK · UNIVERSITY OF MINNESOTA · PI LASKA, MELISSA N. · 2015 to 2018
$2.5M
A Systems Approach to Understanding the Interacting Factors of the Local Food Environment for Population HealthR00HL144824 · NHLBI · EMORY UNIVERSITY · PI WINKLER, MEGAN · 2021 to 2023
$746k
A Systems Approach to Understanding the Interacting Factors of the Local Food Environment for Population HealthK99HL144824 · NHLBI · UNIVERSITY OF MINNESOTA · PI WINKLER, MEGAN · 2019 to 2020
$245k
NCATS NIH HHS UL1 TR000114NCATS NIH HHS UL1TR000114NCCDPHP CDC HHS U48 DP005022NHLBI NIH HHS K99 HL144824NHLBI NIH HHS K99HL144824NHLBI NIH HHS R00 HL144824NIDDK NIH HHS R01 DK104348NIDDK NIH HHS R01DK104348
6 · The paper itself

Abstract

backgroundCardiovascular health is linked to sugar- and artificially-sweetened beverages (SSBs and ASBs). Prior studies document declines in SSB purchases. However, it is unclear if similar trends exist at convenience and other small food outlets, which often serve lower-income communities and where objective point-of-sales data are difficult to obtain. We examined trends (2014-2017) in observed SSB, ASB, and water purchases at convenience and other small stores as well as differences in purchasing by customer characteristics.

methodsWe used observational purchase data collected annually (2014-2017) from 3010 adult customers at 147 randomly-sampled stores in Minneapolis/St. Paul, USA. SSB sub-types included any ready-to-drink sweetened soda, fruit, sport, energy, tea, or other drink, and ASBs included artificially-sweetened versions. Unsweetened water included ready-to-drink water. Mixed regression models examined trends over time and associations with customer characteristics, accounting for customers nested within stores and stores repeatedly measured over time.

resultsNearly 50% of purchases included an SSB. Approximately 10% included an ASB. There was no evidence of change over time in SSB or ASB purchasing. Customer purchasing of unsweetened water significantly increased over time (5.7 to 8.4%; P for trend = 0.05). SSB purchasing was highest among men, young adults, customers with lower education/ income, and customers that shopped frequently. ASB purchasing was highest among women, those 40-59 years, non-Hispanic White, Hispanic, and customers with higher education/ income.

conclusionsDespite research suggesting previous declines in SSB consumption and purchasing in the US, we identified a persistent, high trend of SSB purchasing overtime at convenience and other small food stores. Consumption of SSBs and water are growing targets for public policy and health campaigns. Results demonstrate additional work is needed curb sweetened beverage purchasing and promote water purchasing at convenience and other small food stores, which are often prevalent in low-income and marginalized communities.

Indexed as

Sugar-Sweetened BeveragesCarbonated BeveragesCommerceConsumer BehaviorFemaleHumansMaleWaterYoung AdultWaterConvenience storesCorner storesCustomer purchasesSugar-sweetened beveragesTrend analysesWater purchasing

Identifiers

PMID35361242
PMCPMC8973807

What OpenQuestion holds

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LicenceCC BY
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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.