Evidence map›Paper›PMID 35407070›Full record

ArticleFoods (Basel, Switzerland)2022

Use of a Continuous Glucose Monitor to Determine the Glycaemic Index of Rice-Based Mixed Meals, Their Effect on a 24 h Glucose Profile and Its Influence on Overweight and Obese Young Adults' Meal Preferences.

Khadidja Chekima, Benjamin Tziak Ze Wong, Mohd Ismail Noor, Yasmin Beng Houi Ooi, See Wan Yan, Brahim Chekima

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Article
  6. Leveraging continuous glucose monitoring as a catalyst for behaviour change: a scoping review.The international journal of behavioral nutrition and physical activity · 2024
    Article
  7. Review
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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

6 authors at 3 institutions in 1 country.

Khadidja ChekimaFaculty of Health and Medical Sciences, Taylor's University, Subang Jaya 47500, Selangor, Malaysia.ORCID 0000-0003-3413-291X
Benjamin Tziak Ze WongFaculty of Social Sciences & Leisure Management, Taylor's University, Subang Jaya 47500, Selangor, Malaysia.
Mohd Ismail NoorFaculty of Medicine and Health Sciences, The National University of Malaysia, Bangi 43600, Selangor, Malaysia.ORCID 0000-0003-4465-2310
Yasmin Beng Houi OoiFaculty of Food Science and Nutrition, University Malaysia Sabah, Kota Kinabalu 88450, Sabah, Malaysia.
See Wan YanFaculty of Health and Medical Sciences, Taylor's University, Subang Jaya 47500, Selangor, Malaysia.
Brahim ChekimaFaculty of Business, Economics and Accountancy, University Malaysia Sabah, Kota Kinabalu 88450, Sabah, Malaysia.
Taylor's University · MYUniversiti of Malaysia Sabah · MYNational University of Malaysia · MY

Funding

Taylor's University TUFR/2017/003/04
6 · The paper itself

Abstract

Postprandial hyperglycaemia is associated with an increased risk of type-2 diabetes. This study aims to determine the glycaemic index (GI) of three varieties of rice-based mixed meals and their effects on glycaemic variability (GV), 24 h mean glucose levels and target ranges, and rice variety preferences among overweight and obese young adults using real-time continuous glucose monitoring (rtCGM). In a randomised controlled crossover design, 14 participants (22.8 ± 4.6 years, 32.9 ± 5.8 kg/m2) were randomly assigned to receive 3 rice-based mixed meals containing 50 g of available carbohydrates (white rice meal = WRM; brown rice meal = BRM; and parboiled basmati rice meal = PBRM) and 50 g of a glucose reference drink on alternate days. GI, GV, 24 h mean glucose levels and target ranges were measured. Rice variety preferences were compared with those of baseline data and determined at the end of the study period. Results: The analysis found that PBRM was low in GI (45.35 ± 2.06), BRM medium in GI (56.44 ± 2.34), and WRM high in GI (83.03 ± 2.19). PBRM had a significantly (p < 0.05) lower 24 h mean glucose level, higher in-target 24 h glucose level percentage and non-significantly (p > 0.05) lower GV compared to WRM. Prior to observing their postprandial glucose levels generated by rtCGM, the participants preferred WRM (64.3%) over other meals, whereas this preference changed significantly (p < 0.05) at the endpoint (PBRM, 71.4%). PBRM reduced 24 h glucose level and GV of overweight and obese young adults. The rtCGM is proven to be reliable in measuring GI, while providing robust continuous glycaemic information. This may serve as an educational tool that motivates eating behaviour changes among overweight and obese young adults.

Indexed as

continuous glucose monitoring (CGM)glycaemic indexoverweight and obesitypostprandial glucose responserice varietyyoung adults

Identifiers

PMID35407070
PMCPMC8997962
OpenAlexW4220943123

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.