Evidence map›Paper›PMID 32182697›Full record

ArticleNutrients2020

Determinants of Sweetness Preference: A Scoping Review of Human Studies.

Carolina Venditti, Kathy Musa-Veloso, Han Youl Lee, Theresa Poon, Alastair Mak, Maryse Darch, Justine Juana, Dylan Fronda, Daniel Noori, Erika Pateman and 1 more

Open access · goldAbstract readScoping Review
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 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 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

11 authors at 2 institutions in 2 countries.

Carolina VendittiIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Kathy Musa-VelosoIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Han Youl LeeIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Theresa PoonIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Alastair MakIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Maryse DarchIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Justine JuanaIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Dylan FrondaIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Daniel NooriIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Erika PatemanIntertek Health Sciences, Inc., Suite 201, 2233 Argentia Road, Mississauga, ON L5N 2X7, Canada.
Maia JackAmerican Beverage Association, Science and Regulatory Affairs, 1275 Pennsylvania Ave. NW, Washington, DC 200042, USA.
Intertek (Canada) · CAAmerican Beverage Association · US

Funding

American Beverage Association N/A
6 · The paper itself

Abstract

Factors associated with sweetness preference are multi-faceted and incredibly complex. A scoping review was undertaken to identify determinants of sweetness preference in humans. Using an online search tool, ProQuest ™, a total of 99 publications were identified and subsequently grouped into the following categories of determinants: Age, dietary factors, reproductive hormonal factors, body weight status, heritable, weight loss, sound, personality, ethnicity and lifestyle, previous exposure, disease, and 'other' determinants. Methodologies amongst studies were heterogenous in nature (e.g., there was variability across studies in the sweetness concentrations tested, the number of different sweetness concentrations used to assess sweetness preference, and the methods utilized to measure sweetness preference), rendering interpretation of overall findings challenging; however, for certain determinants, the evidence appeared to support predictive capacity of greater sweetness preference, such as age during certain life-stages (i.e., young and old), being in a hungry versus satiated state, and heritable factors (e.g., similar sweetness preferences amongst family members). Recommendations for the design of future studies on sweetness preference determinants are provided herein, including an "investigator checklist" of criteria to consider.

Indexed as

TasteAge FactorsDietary SugarsEatingFood PreferencesHumansLife StyleSweetening AgentsDietary SugarsSweetening Agentslikingpreferencesweetsweetness

Identifiers

PMID32182697
PMCPMC7146214
OpenAlexW3010314755

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.