Insulin Resistance Indices and Carotid Intima-media Thickness in Physically Fit Adults: CHIEF Atherosclerosis Study
Endocrine, Metabolic and Immune Disorders - Drug Targets, ISSN: 2212-3873, Vol: 23, Issue: 11, Page: 1442-1448
2023
- 7Citations
- 6Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations7
- Citation Indexes7
- CrossRef1
- Captures6
- Readers6
Article Description
Aims: This study aims to examine the associations between various non-insulin-based insulin resistance (nIIR) indices and subclinical atherosclerosis assessed by carotid intima-media thickness (cIMT) in young adults. Background: nIIR indices, e.g., serum triglycerides (TG) have been reported with an association with cIMT in middle-and old-aged adults. Objective: We examined the associations of various well-known nIIR indices reported before with cIMT in young adults. Methods: A total of 1,822 young adults free of diabetes in Taiwan were included in 2018-2020. nIIR indices were assessed by TG concentrations, the TyG index, defined as Ln (TG *fasting glucose/2), the TG/high-density lipoprotein cholesterol (HDL-C) ratio, defined as TG divided by HDL-C, and the metabolic score for IR (METS-IR), defined as Ln[(2*fasting glucose)+TG) * body mass index (BMI)/(Ln(HDL-C))]. Multivariable linear regression analyses with adjustments for age, sex, anthro-pometrics, smoking, alcohol consumption, blood pressure, and total cholesterol were used to deter-mine the associations. For TG only, HDL-C and fasting glucose were additionally adjusted. Results: In the overall participants, there was an association between cIMT and TG (β: 0.057, p = 0.04). In subgroup analyses, cIMT was associated with TG (β: 0.127, p = 0.004), the TyG index (β: 0.119, p = 0.01), and TG/HDL-C (β: 0.081, p = 0.03) in the overweight/obese (BMI ≥25 kg/m), while not in the normal weight individuals. However, cIMT was correlated with TG (β: 0.086, p = 0.01) and TG/HDL-C (β: 0.077, p = 0.01) in those without hyperuricemia, while not in those with hyperuricemia. No association between the METS-IR and cIMT in any young adult subgroups was observed. Conclusion: This study highlights that some nIIR indices could be used to assess cIMT in young adults, particularly for those with obesity and those without hyperuricemia. The TG-based indices instead of the novel marker, METS-IR, are suggestive as stronger predictors of greater cIMT in young adults.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85169690716&origin=inward; http://dx.doi.org/10.2174/1871530323666230324104737; http://www.ncbi.nlm.nih.gov/pubmed/36967464; https://www.eurekaselect.com/214937/article; https://dx.doi.org/10.2174/1871530323666230324104737; https://www.eurekaselect.com/article/130340
Bentham Science Publishers Ltd.
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