Correlation of lipid parameters and markers of insulin resistance: does smoking make a difference?

Title:

Correlation of lipid parameters and markers of insulin resistance: does smoking make a difference?

Creator:

Cibičková, L'., Karásek, D., Kateřina Langová, Veverková, H., Orság, J., Lukeš, J., and Novotný, D.

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:d023d33c-881e-4992-8825-359a516e135f
uuid:d023d33c-881e-4992-8825-359a516e135f
issn:0862-8408

Subject:

Fyziologie člověka a srovnávací fyziologie, inzulinová rezistence, metabolismus lipidů, insulin resistance, lipid metabolism, metabolic syndrome, smoking habit, atherogenic index, 14, and 612

Type:

article, články, model:article, and TEXT

Format:

print, bez média, and svazek

Description:

Insulin resistance associated with dyslipidemia enhances cardiovascular risk. Several atherogenic indexes have been suggested to give more precise information about the risk. The aim of our study was to estimate, which atherogenic index correlates better with parameters of insulin resistance. Furthermore, we compared the parameters of lipid metabolism and insulin resistance between smokers and non-smokers. In our cross-sectional study we enrolled 729 patients with dyslipidemia which were divided into two groups - non-smokers (586) and smokers (143). We measured lipid profile, parameters of insulin resistance (fasting glycemia, insulin, HOMA-IR, C-peptide, proinsulin) and calculated atherogenic indexes - atherogenic index of plasma (log (TAG/HDL-C), AIP), ApoB/ApoA1 index and nonHDL-C. AIP was found out to show stronger correlations with parameters of insulin resistance (p<0.001, correlation coefficients ranging between 0.457 and 0.243) than other indexes (ApoB/ApoA1 or nonHDL cholesterol). AIP correlated with parameters of insulin resistance both in smokers and nonsmokers, but after adjustment (for age, body mass index, waist circumference) persisting only in non-smokers. Smokers had a wider waist circumference and a proatherogenic lipid profile. Smoking increases the risk of developing metabolic syndrome. AIP can be used in daily praxis for predicting insulin resistance in patients with dyslipidemia, predominantly in non-smokers., L'. Cibičková, D. Karásek, K. Langová, H. Vaverková, J. Orság, J. Lukeš, D. Novotný., and Obsahuje bibliografii

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Source:

Physiological research | 2014 Volume:63 | Number:Suppl 3

Harvested from:

CDK

Metadata only:

false