Evidence map›Paper›PMID 39367088›Full record

ArticleScientific reports2024

Investigation of the risk factors associated with prediabetes in normal-weight Qatari adults: a cross-sectional study.

Khadija A Elmagarmid, Mohamed Fadlalla, Johann Jose, Abdelilah Arredouani, Halima Bensmail

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Khadija A ElmagarmidWeill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha, Qatar.
Mohamed FadlallaCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
Johann JoseDelhi Technological University, New Delhi, India.
Abdelilah ArredouaniQatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar. aarredouani@hbku.edu.qa.
Halima BensmailCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. hbensmail@hbku.edu.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes is one of the most prevalent chronic diseases in the world, and more people than ever before have impaired glucose tolereance, or prediabetes. Many patients with impaired glucose tolerance and undiagnosed diabetes do not know that their glucose metabolism system has been in a state of disorder. Every year, about 5-10% of prediabetics develop diabetes. One of the important achieving factors may be the increase in blood lipids. However, it is not clear whether triglyceride is associated with impaired glucose tolerance and prediabetes in the Qatari population. Therefore, we investigated the relationship between the first several clinical variables and prediabetes status in normal and overweight populations. We conducted a cross-sectional study using data from the Qatar Biobank program. The study included 5,996 participants who were adults over the age of 20. We collected information about participants' fasting blood glucose levels with other clinical measurements and used various machine learning models and logistic regression to study the association between the clinical measurements and prediabetes for normal and overobese weight groups. The use of several machine learning models showed that, after adjusting the potential confounding factors such as age and sex, Triglyceride has been demonstrated to be positively correlated with prediabetes, and there was a special population dependence phenomenon. Among them, nonobese people (p < 0.05). The effect value and 95% confidence interval and OR of triglyceride on prediabetes was 2.79 and (e0.78, e1.28), respectively.

Indexed as

Blood GlucosePrediabetic StateAdultAgedBody WeightCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedQatarRisk FactorsTriglyceridesBlood GlucoseTriglyceridesDiabetesNormal-weightObesityPrediabetesQatarTriglyceride-glucose-related

Identifiers

PMID39367088
PMCPMC11452400

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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.