Evidence map›Paper›PMID 35267968›Full record

ArticleNutrients2022

Impacts of the Seattle Sweetened Beverage Tax on the Perceived Healthfulness of Sweetened Beverages.

Lauren Sawyer, Vanessa M Oddo, Amanda Fretts, Melissa A Knox, Nadine Chan, Brian E Saelens, Jessica C Jones-Smith

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Lauren SawyerNutritional Sciences Program, School of Public Health, University of Washington, Seattle, WA 98195, USA.
Vanessa M OddoDepartment of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL 60612, USA.
Amanda FrettsDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA.
Melissa A KnoxDepartment of Economics, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-7525-0854
Nadine ChanDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA.
Brian E SaelensSeattle Children's Research Institute, Seattle, WA 98101, USA.
Jessica C Jones-SmithDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA.

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

Sweetened beverage taxes are associated with significant reductions in the purchase of sweetened beverages. However, it is unclear whether these taxes play a role in shifting perceptions about sweetened beverages and their health impacts. We utilized pre- and post-tax survey data collected from residents in Seattle, WA, a city that implemented a sweetened beverage tax in 2018 and from residents in an untaxed comparison area. We used income-stratified difference-in-difference linear probability models to compare net changes in the perceived healthfulness of overall sweetened beverage consumption and of different types of sugary beverages over time and across income groups. We found significant increases in the percentage of Seattle respondents with lower incomes who agreed that sweetened beverage consumption raises the risk of diabetes (DD = 9 percentage points (pp) (95% CI: 5 pp, 13 pp);

Indexed as

Sugar-Sweetened BeveragesBeveragesConsumer BehaviorIncomeTaxesbeverage taxfood policyhealth perceptionshealth policysweetened beverages

Identifiers

PMID35267968
PMCPMC8912807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.