Oxana Rotar1, Maria Boyarinova2, Alexander Orlov2, Vladislav Solntsev2, Yulia Zhernakova3, Svetlana Shalnova4, Alexander Deev4, Alexandra Konradi2,5, Elena Baranova2, Irina Chazova3, Sergey Boytsov4, Eugene Shlyakhto2. 1. Almazov North-West Federal Medical Research Centre, Akkuratova street 2, Saint-Petersburg, Russia. rotar.oxana@gmail.com. 2. Almazov North-West Federal Medical Research Centre, Akkuratova street 2, Saint-Petersburg, Russia. 3. Russian Cardiology Research and Production Complex, 3rd Cherepkovskaya, 15 A, Moscow, Russia. 4. National Research Center for Preventive Medicine, Petroverigsky 10, Moscow, Russia. 5. University of Information Technologies, Mechanics and Optics, Kronverksky prospect 49, Saint-4 Petersburg, Russia.
Abstract
INTRODUCTION: The aim of the study was to estimate the prevalence of metabolically healthy obese (MHO) and metabolically unhealthy non-obese (MUNO) phenotypes in Russian population. DESIGN AND METHODS: In cross-sectional epidemiology survey "Epidemiology of cardiovascular diseases and its risk factors in some regions of the Russian Federation" a random sampling of 21,121 subjects (25-65 years), stratified by age and sex was involved. Anthropometry, blood pressure (BP) measurement and fasting blood-tests (glucose, lipids) were performed according to standard protocols. Criteria for MHO-body mass index (BMI) ≥30 kg/m2 and ≤2 of markers: HDL < 1.30 (females)/1.04 (males) mmol/l; triglycerides ≥1.7 mmol/l; glucose ≥5.6 mmol/l or treatment; waist >88 (females)/102 (males) cm and BP ≥ 130/85 mm Hg or therapy. Criteria for MUNO was BMI < 30 kg/m2 and ≥2 markers listed above. Simple tabulations, descriptive statistics, post-stratification weights and logistic regression were used for analyses. RESULTS: MHO phenotype was detected in 2856 (41.5%) obese people; MUNO phenotype-in 4762 (34.4%) non-obese subjects. Aging was negatively associated with MHO and positively with MUNO prevalence. Gender was registered as determinant only of MUNO probability. No dramatic differences in lifestyle risk factors between 3 BMI groups (lean, overweight, obese) were found out. CONCLUSION: Half of obese Russian inhabitants are metabolically healthy. At the same time, metabolic abnormalities were detected in one third of non-obese participants with a shift to male gender.
INTRODUCTION: The aim of the study was to estimate the prevalence of metabolically healthy obese (MHO) and metabolically unhealthy non-obese (MUNO) phenotypes in Russian population. DESIGN AND METHODS: In cross-sectional epidemiology survey "Epidemiology of cardiovascular diseases and its risk factors in some regions of the Russian Federation" a random sampling of 21,121 subjects (25-65 years), stratified by age and sex was involved. Anthropometry, blood pressure (BP) measurement and fasting blood-tests (glucose, lipids) were performed according to standard protocols. Criteria for MHO-body mass index (BMI) ≥30 kg/m2 and ≤2 of markers: HDL < 1.30 (females)/1.04 (males) mmol/l; triglycerides ≥1.7 mmol/l; glucose ≥5.6 mmol/l or treatment; waist >88 (females)/102 (males) cm and BP ≥ 130/85 mm Hg or therapy. Criteria for MUNO was BMI < 30 kg/m2 and ≥2 markers listed above. Simple tabulations, descriptive statistics, post-stratification weights and logistic regression were used for analyses. RESULTS: MHO phenotype was detected in 2856 (41.5%) obesepeople; MUNO phenotype-in 4762 (34.4%) non-obese subjects. Aging was negatively associated with MHO and positively with MUNO prevalence. Gender was registered as determinant only of MUNO probability. No dramatic differences in lifestyle risk factors between 3 BMI groups (lean, overweight, obese) were found out. CONCLUSION: Half of obese Russian inhabitants are metabolically healthy. At the same time, metabolic abnormalities were detected in one third of non-obeseparticipants with a shift to male gender.
Entities:
Keywords:
Metabolic health; Metabolically healthy obesity; Obesity; Russian population
Authors: A Berezina; O Belyaeva; O Berkovich; E Baranova; T Karonova; E Bazhenova; D Brovin; E Grineva; E Shlyakhto Journal: Biomed Res Int Date: 2015-10-04 Impact factor: 3.411
Authors: Kamila Kholmatova; Alexandra Krettek; David A Leon; Sofia Malyutina; Sarah Cook; Laila A Hopstock; Ola Løvsletten; Alexander V Kudryavtsev Journal: Int J Environ Res Public Health Date: 2022-08-01 Impact factor: 4.614