Obesity and obesity-associated cardiometabolic risk factors in indigenous Nenets women from the rural Nenets Autonomous Area and Russian women from Arkhangelsk city

• Published in: International journal of circumpolar health 2014, Vol.73 (1), p.23859-23859
• Main Authors: Petrenya, Natalia, Brustad, Magritt, Dobrodeeva, Liliya, Bichkaeva, Fatima, Lutfalieva, Gulnara, Cooper, Marie, Odland, Jon Øyvind
• Format: Article
• Language: English
• Subjects: Adult; Aged; Anthropometry; Arctic; Arctic Regions - ethnology; Body Mass Index; cardiometabolic risk; Cardiovascular Diseases - diagnosis; Cardiovascular Diseases - ethnology; Cholesterol; Cross-Sectional Studies; Ethnic Groups; ethnicity; Female; Humans; Hyperlipidemias - diagnosis; Hyperlipidemias - ethnology; Linear Models; Logistic Models; Middle Aged; Native peoples; Nenets; Obesity; Obesity - diagnosis; Obesity - ethnology; Original; Population Groups; Prevalence; Risk Assessment; Rural Population; Russia - epidemiology; Russians; Studies; Urban Population; VDP; Waist Circumference; waist-to-hip ratio; women; Womens health; Young Adult
• ISSN: 2242-3982; 1239-9736; 2242-3982
• DOI: 10.3402/ijch.v73.23859

The prevalence of obesity and obesity-related conditions varies by population groups. Indigenous women of the circumpolar north are believed to be at high risk of obesity. We studied, first the obesity prevalence in indigenous Arctic women, Nenets, compared to urban Russian women. Second, the association between obesity and cardiometabolic risk factors in the combined group of Nenets and Russian women. Third, ethnic differences in the association between obesity and cardiometabolic risk factors. Cross-sectional study performed in 2008-2009. Subjects: 93 Nenets women, aged 19-77 (the indigenous village, the Nenets Autonomous Area) and 132 Russian women, aged 21-72 (Arkhangelsk city). Obesity was defined as body mass index (BMI)≥30 kg/m 2 , waist circumference (WC)≥88 cm and or waist-to-hip ratio (WHR)≥0.85%. We assessed associations between obesity and cardiometabolic risk factors by linear and logistic regression models that included covariates of ethnicity, age, smoking and physical activity. We also tested for interaction between obesity measurements and ethnicity. Prevalence of obesity estimated through BMI, WC and WHR were 42.5, 45.3 and 41.9% in Nenets and 34.4, 46.4 and 29.5% in Russians, respectively, with no differences found. BMI, WC and WHR associated positively with triglycerides, fasting insulin and Homeostasis Model Assessment of Insulin Resistance index. In addition, BMI and WC correlated negatively with high-density lipoprotein cholesterol and positively with systolic blood pressure and apolipoprotein B/apoliporotein A-I ratio. WC explained significant variation in fasting glucose (FG) level. BMI predicted type 2 diabetes history. FG level associated strongly with ethnicity and was found to be higher in Russians. We found no differences in prevalence of obesity between Nenets and Russian females. Obesity was associated with cardiometabolic risk factors independently of ethnicity in the sample studied. There was no link between obesity measurements and ethnicity.