The prevalence of abdominal obesity and the association with socioeconomic status in Regions of the Russian Federation, the results of the epidemiological study - ESSE-RF

被引:0
作者
Zhernakova, Yu. V. [1 ]
Chazova, Zheleznova I. E. [1 ]
Oshchepkova, E. V. [1 ]
Dolgusheva, Yu. A. [1 ]
Yarovaya, E. B. [1 ]
Blinova, N. V. [1 ]
Orlovsky, A. A. [1 ]
Konosova, I. D. [1 ]
Shalnova, S. A. [2 ]
Rotar, O. P. [2 ]
Konradi, A. O. [3 ]
Shlyakhto, E. V. [3 ]
Boytsov, S. A. [3 ]
机构
[1] Minist Hlth Russia, Natl Med Res Ctr Cardiol, Moscow, Russia
[2] Minist Hlth Russia, Natl Sci Res Ctr Prevent Med, Moscow, Russia
[3] Minist Hlth Russia, VA Almazov Natl Med Res Ctr, St Petersburg, Russia
关键词
epidemiological study; obesity; abdominal obesity; risk factors; cardiovascular disease; socio-economic portrait; BODY-MASS INDEX; METABOLIC SYNDROME; CARDIOVASCULAR-DISEASE; SEX-DIFFERENCES; KIDNEY-DISEASE; POPULATION; RISK; OVERWEIGHT; HEALTH; STROKE;
D O I
10.26442/terarkh2018901014-22
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Abdominal obesity (AO) is a predictor of cardiovascular disease and diabetes mellitus type 2. The assessment of the disease prevalence and the study of socioeconomic status of people with this phenotype of obesity are necessary to develop effective mechanisms to combat this risk factor in the population. The aim of the study is to determine the prevalence of AO in the population and to assess the association with socioeconomic factors according to the data of the ESSE-RF study (Epidemiology of Cardiovascular diseases in the Regions of the Russian Federation). Materials and methods. The object of the study is a random population sample of men and women aged 25-64 years from 13 regions of the Russian Federation (n=21 817). Abdominal obesity in men was defined as waist circumference (WC) >94 cm, and in women - WC >80 cm. Body mass index (BMI) >30.0 kg/m(2) was adopted as the criterion of common obesity. Results and discussion. The prevalence of AO in Russia was 55% (61.8% in women and 44% in men), while the percent of people with obesity, defined by BMI was significantly lower (33.4%). The number of examined patients with AO increased with age among both men and women (p<0.0001). A person with AO more often were people with low and very low income and low education levels (p<0.0001). Direct association between employment status and family status and AO in present study did not find, but WC was statistically significantly important criterion among male workers in comparison with those who never worked (p<0.0001), young men and women married, as well as married men of older age groups (p<0.0001).
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收藏
页码:14 / 22
页数:9
相关论文
共 57 条
  • [11] Evaluation of Metabolic Risk Marker in Obesity-related Glomerulopathy
    Chen, Hui-Mei
    Chen, Yan
    Zhang, Yi-De
    Zhang, Pei-Pei
    Chen, Hui-Ping
    Wang, Qing-Wen
    Li, Lei-Shi
    Liu, Zhi-Hong
    [J]. JOURNAL OF RENAL NUTRITION, 2011, 21 (04) : 309 - 315
  • [12] Prevalence of abdominal obesity in Abia State, Nigeria: results of a population-based house-to-house survey
    Chukwuonye, Innocent Ijezie
    Chuku, Abali
    Onyeonoro, Ugochukwu Uchenna
    Okpechi, Ikechi Gareth
    Madukwe, Okechukwu Ojoemelam
    Umeizudike, Theophilus Ifeanyichukwu
    Ogah, Okechukwu Samuel
    [J]. DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY, 2013, 6 : 285 - 291
  • [13] Delaet D, 2011, BMJ CLIN EVID, V2011
  • [14] Secular trends in the prevalence of low risk factor burden for cardiovascular disease according to obesity status among Chinese adults, 1993-2009
    Du, Tingting
    Sun, Xingxing
    Yin, Ping
    Yuan, Gang
    Zhang, Muxun
    Zhou, Xinrong
    Yu, Xuefeng
    [J]. BMC PUBLIC HEALTH, 2014, 14
  • [15] [Ефремова Ю.Е. Efremova Yu.E.], 2017, [Системные гипертензии, Sistemnye gipertenzii], V14, P6
  • [16] Socioeconomic Differences in Cardiometabolic Factors: Social Causation or Health-related Selection? Evidence From the Whitehall II Cohort Study, 1991-2004
    Elovainio, Marko
    Ferrie, Jane E.
    Singh-Manoux, Archana
    Shipley, Martin
    Batty, G. David
    Head, Jenny
    Hamer, Mark
    Jokela, Markus
    Virtanen, Marianna
    Brunner, Eric
    Marmot, Michael G.
    Kivimaki, Mika
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2011, 174 (07) : 779 - 789
  • [17] National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants
    Finucane, Mariel M.
    Stevens, Gretchen A.
    Cowan, Melanie J.
    Danaei, Goodarz
    Lin, John K.
    Paciorek, Christopher J.
    Singh, Gitanjali M.
    Gutierrez, Hialy R.
    Lu, Yuan
    Bahalim, Adil N.
    Farzadfar, Farshad
    Riley, Leanne M.
    Ezzati, Majid
    [J]. LANCET, 2011, 377 (9765) : 557 - 567
  • [18] Obesity
    Gonzalez-Muniesa, Pedro
    Martinez-Gonzalez, Miguel-Angel
    Hu, Frank B.
    Despres, Jean-Pierre
    Matsuzawa, Yuji
    Loos, Ruth J. F.
    Moreno, Luis A.
    Bray, GeorgeA.
    Alfredo Martinez, J.
    [J]. NATURE REVIEWS DISEASE PRIMERS, 2017, 3
  • [19] The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis
    Guh, Daphne P.
    Zhang, Wei
    Bansback, Nick
    Amarsi, Zubin
    Birmingham, C. Laird
    Anis, Aslam H.
    [J]. BMC PUBLIC HEALTH, 2009, 9
  • [20] Overweight and Obesity in Young Adulthood and the Risk of Stroke: a Meta-analysis
    Guo, Yan
    Yue, Xue-jing
    Li, He-hua
    Song, Zhi-xiu
    Yan, Hai-qing
    Zhang, Ping
    Gui, Yong-kun
    Chang, Li
    Li, Tong
    [J]. JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2016, 25 (12) : 2995 - 3004