Evidence map›Paper›PMID 32635195›Full record

ArticleNutrients2020

The Importance of Sweet Beverage Definitions When Targeting Health Policies-The Case of Switzerland.

Angelica Sousa, Janice Sych, Sabine Rohrmann, David Faeh

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Angelica SousaSchool of Agricultural, Forest and Food Sciences HAFL, Bern University of Applied Sciences, Länggasse 85, 3052 Zollikofen, Switzerland.
Janice SychInstitute of Food and Beverage Innovation, ZHAW School of Life Sciences and Facility Management, Einsiedlerstrasse 34, 8820 Wädenswil, Switzerland.ORCID 0000-0003-4680-9377
Sabine RohrmannDivision of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland.ORCID 0000-0002-2215-1200
David FaehDivision of Chronic Disease Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Hirschengraben 84, 8001 Zurich, Switzerland.ORCID 0000-0003-2630-8102
Bern University of Applied Sciences · CHUniversity of Zurich · CH

Funding

Federal Food Safety and Veterinary Office What does the Swiss population eat? Characterization of food consumption, dietary patterns and lifestyle in the Swiss language regions, project 5.17.02ERN
6 · The paper itself

Abstract

Since high-sweet beverage intake is associated with health risks, defining what this term encompasses is relevant to the strategies confronting this problem. This study assessed both the sociodemographic factors associated with sweet beverage consumption in Switzerland and the amount consumed. According to the current definition in Switzerland (SB-CUR), sweet beverages include soft drinks, juices with added-sugar, and low-calorie sweet beverages. Using this definition and the representative menuCH survey (

Indexed as

Nutrition PolicyAdolescentAdultAgedArtificially Sweetened BeveragesBeveragesCarbonated BeveragesDiet SurveysDrinking BehaviorFemaleHumansLinear ModelsMaleMiddle AgedSugar-Sweetened BeveragesSwitzerland100% juiceshealth policies sociodemographic characteristicslow-calorie sweet beveragesplant-based milk substitutessoft drinkssugar sweetened beveragessweet beveragesSwitzerland

Identifiers

PMID32635195
PMCPMC7399802
OpenAlexW3040623713

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.