Evidence map›Paper›PMID 35741952›Full record

ArticleFoods (Basel, Switzerland)2022

Utilising a Real-Time Continuous Glucose Monitor as Part of a Low Glycaemic Index and Load Diet and Determining Its Effect on Improving Dietary Intake, Body Composition and Metabolic Parameters of Overweight and Obese Young Adults: A Randomised Controlled Trial.

Khadidja Chekima, Mohd Ismail Noor, Yasmin Beng Houi Ooi, See Wan Yan, Mohammad Jaweed, 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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Leveraging continuous glucose monitoring as a catalyst for behaviour change: a scoping review.The international journal of behavioral nutrition and physical activity · 2024
    Article
  8. 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 1 country.

Khadidja ChekimaFaculty of Health and Medical Sciences, Taylor's University, Selangor 47500, Malaysia.ORCID 0000-0003-3413-291X
Mohd Ismail NoorFaculty of Medicine and Health Sciences, The National University of Malaysia, Selangor 43600, Malaysia.ORCID 0000-0003-4465-2310
Yasmin Beng Houi OoiFaculty of Food Science and Nutrition, University Malaysia Sabah, Sabah 88450, Malaysia.
See Wan YanFaculty of Health and Medical Sciences, Taylor's University, Selangor 47500, Malaysia.
Mohammad JaweedFaculty of Health and Medical Sciences, Taylor's University, Selangor 47500, Malaysia.
Brahim ChekimaFaculty of Business, Economics and Accountancy, University Malaysia Sabah, Sabah 88450, Malaysia.
Taylor's University · MYUniversiti of Malaysia Sabah · MYNational Institutes of Biotechnology Malaysia · MY

Funding

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

Abstract

A randomised controlled trial to measure the effects of integrating real-time continuous glucose monitor (rtCGM) into a low glycaemic index (GI) and glycaemic load (GL) dietary intervention on dietary intake, body composition and specific metabolic parameters was carried out. A total of 40 overweight young adults [(means ± SD) age: 26.4 ± 5.3 years, BMI: 29.4 ± 4.7 kg/m2] were randomised into an intervention and control groups for a period of eight weeks. Both groups received nutrition education on low GI and GL foods. The intervention group also received an rtCGM system to monitor their glucose levels 24 h a day. While controlling for physical activities and GI and GL nutrition knowledge, the results indicated that the rtCGM system further improved body weight, BMI, fat mass, fasting plasma glucose, HbA1c, total cholesterol, HDL cholesterol and LDL cholesterol in the intervention group (p < 0.05). This trial unveils the robustness of the rtCGM where non-diabetic overweight and obese young adults can benefit from this device and utilise it as a management tool for overweight and obesity and a primary prevention tool for type 2 diabetes, as it provides real-time and personalised information on physiological changes.

Indexed as

low glycaemic indexlow glycaemic loadobesity managementoverweight and obesityreal-time continuous glucose monitoring (rtCGM)weight lossyoung adults

Identifiers

PMID35741952
PMCPMC9222336
OpenAlexW4282914034

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.