Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)

Aim. To assess the prevalence of non-alcoholic fatty liver disease (NAFLD) using the liver obesity index — FLI (Fatty Liver Index), and to study its associations with socio-demographic indicators and behavioral risk factors for NAFLD.Material and methods. The data from the multicenter ESSE-RF study...

Full description

Bibliographic Details
Main Authors: S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, E. V. Yarovaya, Yu. A. Balanova, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Maksimov, N. S. Karamnova, A. G. Soplenkova, E. M. Filichkina, I. A. Viktorova, N. N. Prishchepa, A. N. Redko, S. S. Yakushin, O. M Drapkina
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2022-10-01
Series:Кардиоваскулярная терапия и профилактика
Subjects:
Online Access:https://cardiovascular.elpub.ru/jour/article/view/3356
_version_ 1797882330771095552
author S. E. Evstifeeva
S. A. Shalnova
V. A. Kutsenko
E. V. Yarovaya
Yu. A. Balanova
A. E. Imaeva
A. V. Kapustina
G. A. Muromtseva
S. A. Maksimov
N. S. Karamnova
A. G. Soplenkova
E. M. Filichkina
I. A. Viktorova
N. N. Prishchepa
A. N. Redko
S. S. Yakushin
O. M Drapkina
author_facet S. E. Evstifeeva
S. A. Shalnova
V. A. Kutsenko
E. V. Yarovaya
Yu. A. Balanova
A. E. Imaeva
A. V. Kapustina
G. A. Muromtseva
S. A. Maksimov
N. S. Karamnova
A. G. Soplenkova
E. M. Filichkina
I. A. Viktorova
N. N. Prishchepa
A. N. Redko
S. S. Yakushin
O. M Drapkina
author_sort S. E. Evstifeeva
collection DOAJ
description Aim. To assess the prevalence of non-alcoholic fatty liver disease (NAFLD) using the liver obesity index — FLI (Fatty Liver Index), and to study its associations with socio-demographic indicators and behavioral risk factors for NAFLD.Material and methods. The data from the multicenter ESSE-RF study (Epidemiology of cardiovascular diseases in the regions of the Russian Federation) — samples from the unorganized male and female population aged 25-64 years were used. 5,161 respondents were included, of which 2,275 (44,1%) were men. To assess the prevalence of NAFLD, the liver obesity index FLI was used, calculated according to the formula by Bedogni G, et al. (2006). A high FLI index ≥60 was considered a predictor of liver steatosis.Results. High FLI ≥60 was detected in 38,5% of men and 26,6% of women. Multivariate analysis of associations of high FLI index in men and women showed a strong relationship with age: men — odds ratio (OR) 5,01, 95% confidence interval (CI): 3,82-6,59 (p<0,0001) and women — OR 8,58, 95% CI: 6,39-11,64 (p<0,0001), living in rural areas: men — OR 1,32, 95% CI: 1,06-1,63 (p=0,011) and women — OR 1,4, 95% CI: 1,15-1,71 (p=0,001). The FLI index ≥60 was significantly associated with low physical activity (p=0,001) in men and current smoking in women (p=0,013).Conclusion. A high FLI index ≥60 is most common among men, significantly associated with age, living in rural areas, currently smoking women, and low physical activity men. Higher education, in relation to FLI ≥60, had a protective effect on women.
first_indexed 2024-04-10T03:33:04Z
format Article
id doaj.art-723046df36dc474aa790fafa61fa0c98
institution Directory Open Access Journal
issn 1728-8800
2619-0125
language Russian
last_indexed 2024-04-10T03:33:04Z
publishDate 2022-10-01
publisher «SILICEA-POLIGRAF» LLC
record_format Article
series Кардиоваскулярная терапия и профилактика
spelling doaj.art-723046df36dc474aa790fafa61fa0c982023-03-13T07:23:33Zrus«SILICEA-POLIGRAF» LLCКардиоваскулярная терапия и профилактика1728-88002619-01252022-10-0121910.15829/1728-8800-2022-33562537Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)S. E. Evstifeeva0S. A. Shalnova1V. A. Kutsenko2E. V. Yarovaya3Yu. A. Balanova4A. E. Imaeva5A. V. Kapustina6G. A. Muromtseva7S. A. Maksimov8N. S. Karamnova9A. G. Soplenkova10E. M. Filichkina11I. A. Viktorova12N. N. Prishchepa13A. N. Redko14S. S. Yakushin15O. M Drapkina16ФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава России; ФГБОУ ВО «Московский государственный университет имени М.В. Ломоносова»ФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава России; ФГБОУ ВО «Московский государственный университет имени М.В. Ломоносова»ФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииФГБОУ ВО "Омский государственный медицинский университет" Минздрава РоссииГБУЗ Республики Карелия "Городская поликлиника № 1"ФГБОУ ВО "Кубанский государственный медицинский университет" Минздрава РоссииФГБОУ ВО "Рязанский государственный медицинский университет им. акад. И. П. Павлова" Минздрава РоссииФГБУ "Национальный медицинский исследовательский центр терапии и профилактической медицины" Минздрава РоссииAim. To assess the prevalence of non-alcoholic fatty liver disease (NAFLD) using the liver obesity index — FLI (Fatty Liver Index), and to study its associations with socio-demographic indicators and behavioral risk factors for NAFLD.Material and methods. The data from the multicenter ESSE-RF study (Epidemiology of cardiovascular diseases in the regions of the Russian Federation) — samples from the unorganized male and female population aged 25-64 years were used. 5,161 respondents were included, of which 2,275 (44,1%) were men. To assess the prevalence of NAFLD, the liver obesity index FLI was used, calculated according to the formula by Bedogni G, et al. (2006). A high FLI index ≥60 was considered a predictor of liver steatosis.Results. High FLI ≥60 was detected in 38,5% of men and 26,6% of women. Multivariate analysis of associations of high FLI index in men and women showed a strong relationship with age: men — odds ratio (OR) 5,01, 95% confidence interval (CI): 3,82-6,59 (p<0,0001) and women — OR 8,58, 95% CI: 6,39-11,64 (p<0,0001), living in rural areas: men — OR 1,32, 95% CI: 1,06-1,63 (p=0,011) and women — OR 1,4, 95% CI: 1,15-1,71 (p=0,001). The FLI index ≥60 was significantly associated with low physical activity (p=0,001) in men and current smoking in women (p=0,013).Conclusion. A high FLI index ≥60 is most common among men, significantly associated with age, living in rural areas, currently smoking women, and low physical activity men. Higher education, in relation to FLI ≥60, had a protective effect on women.https://cardiovascular.elpub.ru/jour/article/view/3356неалкогольная жировая болезнь печенираспространенностьfatty liver index.
spellingShingle S. E. Evstifeeva
S. A. Shalnova
V. A. Kutsenko
E. V. Yarovaya
Yu. A. Balanova
A. E. Imaeva
A. V. Kapustina
G. A. Muromtseva
S. A. Maksimov
N. S. Karamnova
A. G. Soplenkova
E. M. Filichkina
I. A. Viktorova
N. N. Prishchepa
A. N. Redko
S. S. Yakushin
O. M Drapkina
Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)
Кардиоваскулярная терапия и профилактика
неалкогольная жировая болезнь печени
распространенность
fatty liver index.
title Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)
title_full Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)
title_fullStr Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)
title_full_unstemmed Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)
title_short Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data)
title_sort prevalence of non alcoholic fatty liver disease among the working age population associations with socio demographic indicators and behavioral risk factors esse rf 2 data
topic неалкогольная жировая болезнь печени
распространенность
fatty liver index.
url https://cardiovascular.elpub.ru/jour/article/view/3356
work_keys_str_mv AT seevstifeeva prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT sashalnova prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT vakutsenko prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT evyarovaya prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT yuabalanova prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT aeimaeva prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT avkapustina prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT gamuromtseva prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT samaksimov prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT nskaramnova prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT agsoplenkova prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT emfilichkina prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT iaviktorova prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT nnprishchepa prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT anredko prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT ssyakushin prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data
AT omdrapkina prevalenceofnonalcoholicfattyliverdiseaseamongtheworkingagepopulationassociationswithsociodemographicindicatorsandbehavioralriskfactorsesserf2data