Evidence map›Paper›PMID 34836099›Full record

ArticleNutrients2021

Carbohydrate Taste Is Associated with Food Intake and Body Mass in Healthy Australian Adults.

Andrew Costanzo, Natwalinkhol Settapramote, Niramon Utama-Ang, Uracha Wanich, Simone Lewin, Russell Keast

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Why Taste Is Pharmacology.Handbook of experimental pharmacology · 2022
    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

6 authors at 3 institutions in 2 countries.

Andrew CostanzoCASS Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC 3125, Australia.ORCID 0000-0002-5257-1222
Natwalinkhol SettapramoteDepartment of Agro-Industry, Faculty of Agriculture and Technology, Rajamangala University of Technology Isan Surin Campus, Surin 32000, Thailand.
Niramon Utama-AngDivision of Product Development Technology, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai 50200, Thailand.
Uracha WanichCASS Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC 3125, Australia.ORCID 0000-0001-8040-6294
Simone LewinCASS Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC 3125, Australia.
Russell KeastCASS Food Research Centre, School of Exercise and Nutrition Sciences, Deakin University, Melbourne, VIC 3125, Australia.ORCID 0000-0003-2147-7687
Deakin University · AUChiang Mai University · THRajamangala University of Technology Isan · TH

Funding

Thailand Research Fund PHD59I0097
6 · The paper itself

Abstract

backgroundThe taste of carbohydrates may drive their intake. Sensitivity to carbohydrate taste varies among individuals, thus, it is important to understand how differences in sensitivity influence eating behaviour and body mass.

objectiveThe aims of this study were to assess associations among carbohydrate taste sensitivity, habitual and acute food intake, and body mass; as well as assess the reliability of the carbohydrate detection threshold (DT) test within and across days.

methodsCarbohydrate DT was assessed six times across three sessions in 36 healthy adult participants (22 female) using a three-alternate forced choice methodology. Moreover, 24 h diet records were completed on the days prior to testing sessions, and food intake at a buffet lunch was collected following each session. Anthropometry was also measured. Linear mixed regression models were fitted.

resultsThe DT test required at least three measures within a given day for good reliability (ICC = 0.76), but a single measure had good reliability when compared at the same time across days (ICC = 0.54-0.86). Carbohydrate DT was associated with BMI (kg/m

conclusionsThis suggests that individuals who are more sensitive to carbohydrate are more likely to consume greater quantities of carbohydrates and energy, resulting in a greater body mass.

Indexed as

Body Mass IndexAdolescentAdultAnthropometryAustraliaClinical Trials as TopicDietary CarbohydratesDiet RecordsEatingEnergy IntakeFeeding BehaviorFemaleHealthy VolunteersHumansLinear ModelsLunchDietary Carbohydratesalimentarybody masscarbohydratetastetest-retest

Identifiers

PMID34836099
PMCPMC8619819
OpenAlexW3208144694

What Socratic 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 Socratic graph.