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В А Куценко

Biographic Data

ID7950075
NAMEВ А Куценко
GIVEN NAMESВ А
FAMILY NAMEКуценко
SIGNATUREКУЦЕНКО В А
AFFILIATIONSLomonosov Moscow State University
ORCID0000-0001-9844-3122
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Lipoprotein Profile in Populations from Regions of the Russian Federation

    Open Access•V A Metelskaya, А Shalnova et al.•ARTICLE•International Journal of…•2022

    This study aimed to describe the dyslipidemia prevalence and pattern among adult populations from different regions ( n = 13) of the Russian Federation (RF). Randomly selected samples ( n = 22,258, aged 25-64) were studied according to the ESSE-RF protocol. Lipoprotein parameters were estimated by routine methods. Statistical analyses were performed using R software (v.3.5.1). The overall dyslipidemia prevalence was 76.1% (76.9/75.3% for men/wome…

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  • Lipoprotein Profile in Populations from Regions of the Russian Federation

    Open Access•V A Metelskaya, А Shalnova et al.•ARTICLE•International Journal of…•2022

    This study aimed to describe the dyslipidemia prevalence and pattern among adult populations from different regions ( n = 13) of the Russian Federation (RF). Randomly selected samples ( n = 22,258, aged 25-64) were studied according to the ESSE-RF protocol. Lipoprotein parameters were estimated by routine methods. Statistical analyses were performed using R software (v.3.5.1). The overall dyslipidemia prevalence was 76.1% (76.9/75.3% for men/wome…

Apolipoprotein B (1 works) · Cardiovascular Health and Risk Factors (1 works) · Cholesterol (1 works) · Demography (1 works) · Demography (1 works) · Disease (1 works) · Dyslipidemia (1 works) · Endocrinology (1 works) · Environmental health (1 works) · Gerontology (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae