Metabolic health can be the determinant factor of the cardiovascular diseases independently of presence of obesity. The study estimates prevalence of metabolically healthy obesity (MHO) and metabolically obese normal weight (MONW) phenotypes in regions of Russian Federation.Design and method:
A novel epidemiology survey of cardiovascular risk in regions of RF with different climatic, geographic, economic and demographic characteristics (ESSE-RF) was performed in a multi-step stratified random sample of approximately 1600 participants aged 25–65 years in every 13 selected region (Volgograd, Vologda, Voronezh, Vladivostok, Ivanovo, Kemerovo, Krasnoyarsk, Samara, Orenburg, Tomsk, Tyumen, Saint-Petersburg and Northern Osetia-Alania). Totally 22249 participants were recruited (8536 males (38,4%) and 13713 females (61,6%)). All subjects signed informed consent and filled out validated questionnaires regarding lifestyle risk factors, concomitant diseases and medication. Anthropometry (height, weight with body mass index (BMI) calculation, and waist circumference (WC)), fasting blood-tests: glucose, lipids were performed. Office BP was registered by OMRON (Japan). Obesity was detected as BMI more (or equal) than 30 kg/m2. Markers of metabolic unhealthy state: HDL less 1.30/1.04 mmol/l; triglycerides higher 1.7 mmol/l; glucose higher 5.6 mmol/l or treatment; BP higher 130/85 mmHg or therapy and WC higher 102(M)/88(F) cm. MHO was diagnosed in obese with less (or equal) 2 markers and MONW in lean with more (or equal) 2 markers. Statistical analysis was performed using SPSS Statistics 20.Results:
Data analysis was possible in 22080 participants, results are presented in table 1.Results:
Table 1. Prevalence of MHO and MONW and associations with gender, age, cardiovascular complicationsResults:
odds ratio (OR) for region was adjusted for age and genderConclusions:
The prevalence of metabolically healthy obesity is rather high in Russian population without gender difference. Normal weight with metabolic abnormalities was detected in the third of lean participants with bias to male gender. Aging is decreasing number of MHO and increasing MONW. Also interregional difference was revealed.