Evidence map›Paper›PMID 32879368›Full record

ArticleScientific reports2020

Carbohydrate knowledge, dietary guideline awareness, motivations and beliefs underlying low-carbohydrate dietary behaviours.

Chaitong Churuangsuk, Michael E J Lean, Emilie Combet

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Impact of a low-carbohydrate diet on cardiometabolic parameters in individuals with and without diabetes: An 8-year longitudinal study within the ELSA-Brasil cohort.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
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  16. Medical nutrition therapy for gestational diabetes mellitus in Australia: What has changed in 10 years and how does current practice compare with best practice?Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2022
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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

3 authors at 1 institution in 1 country.

Chaitong ChuruangsukHuman Nutrition, School of Medicine, Dentistry, and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Room 2.22, Level 2, New Lister Building, 10-16 Alexandra Parade, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK.ORCID http://orcid.org/0000-0003-4373-6395
Michael E J LeanHuman Nutrition, School of Medicine, Dentistry, and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Room 2.22, Level 2, New Lister Building, 10-16 Alexandra Parade, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK.ORCID http://orcid.org/0000-0003-2216-0083
Emilie CombetHuman Nutrition, School of Medicine, Dentistry, and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Room 2.22, Level 2, New Lister Building, 10-16 Alexandra Parade, Glasgow Royal Infirmary, Glasgow, G31 2ER, UK. emilie.combetaspray@glasgow.ac.uk.ORCID http://orcid.org/0000-0002-9302-8971
Glasgow Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the factors (including knowledge and attitude) influencing the decision to follow a low-carbohydrate diet (LCD) or not in a sample of the UK population. An online questionnaire was distributed electronically to adults who had either followed LCD or not (February-December 2019). Demographics and self-reported "LCD-status" (current, past and non-follower) were collected. Multivariable linear regression was used with carbohydrate knowledge, dietary guideline agreement and theory of planned behaviour (TPB) constructs (all as predictors) to explain the intention to follow a LCD (outcome). Respondents (n = 723, 71% women, median age 34; 85% white-ethnicity) were either following (n = 170, 24%) or had tried a LCD in the preceding 3 months (n = 184, 25%). Current followers had lower carbohydrate knowledge scores (1-2 point difference, scale - 11 to 11) than past and non-followers. A majority of current LCD followers disagreed with the EatWell guide recommendations "Base meals on potatoes, bread, rice and pasta, or other starchy carbohydrates. Choose whole grains where possible" (84%) and "Choose unsaturated oils and spreads and eat in small amounts such as vegetable, rapeseed, olive and sunflower oils" (68%) compared to past (37%, 10%, respectively) and non-followers (16%, 8%, respectively). Weight-loss ranked first as a motivation, and the internet was the most influencial source of information about LCDs. Among LCD-followers, 71% reported ≥ 5% weight loss, and over 80% did not inform their doctor, nurse, or dietitian about following a diet. Approximately half of LCD followers incorporated supplements to their diets (10% used multivitamin/mineral supplements), despite the restrictive nature of the diet. TPB constructs, carbohydrate knowledge, and guideline agreement explained 60% of the variance for the intention to follow a LCD. Attitude (std-β = 0.60), perceived behavioural control (std-β = 0.24) and subjective norm (std-β = 0.14) were positively associated with the intention to follow a LCD, while higher knowledge of carbohydrate, and agreeing with national dietary guidelines were both inversely associated (std-β = - 0.09 and - 0.13). The strongest primary reason behind UK adults' following a LCD is to lose weight, facilitated by attitude, perceived behavioural control and subjective norm. Higher knowledge about carbohydrate and agreement with dietary guidelines are found among people who do not follow LCDs.

Indexed as

Health Knowledge, Attitudes, PracticeAdultCultureDiet, Carbohydrate-RestrictedFemaleHumansMaleMiddle AgedMotivationNutrition PolicyNutrition SurveysSocial ClassUnited Kingdom

Identifiers

PMID32879368
PMCPMC7468104
OpenAlexW3081969361

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.