The prevalence of obesity in various socio-demographic groups of the population of Russia

Мартинчик, А Н; Laĭkam, K. Ė.; Kozyreva, N A; Keshabyants, E E; Mikhailov, N A; Smirnova, Elena A.

doi:10.33029/0042-8833-2021-90-3-67-76

Cited by 15 publications

(6 citation statements)

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“…In developed countries, obesity prevalence was reported as higher in less urbanized communities than in more urbanized communities [ 27 , 28 ]. A similar trend was also observed in some developing countries in recent years [ 29 , 30 ]. It was shown that more than 80% of the rise in BMI in some low- and middle-income regions was due to increases in rural areas, which became the main driver of the global obesity epidemic [ 31 ].…”

Section: Discussionsupporting

confidence: 86%

Thirty-Year Urbanization Trajectories and Obesity in Modernizing China

Wang

et al. 2022

IJERPH

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The effects of long-term urbanization changes in obesity are unclear. Data were obtained from the China Health and Nutrition Survey (CHNS) 1989–2018. A multidimensional urbanicity index was used to define the urbanization level for communities. Group-based trajectory modeling was used to identify distinct urbanization change trajectories. Gender-stratified multilevel models were used to investigate the association between urbanization trajectories and weight/BMI, through the PROC MIXED procedure, as well as the risk of being overweight + obesity (OO)/obesity (OB), through the PROC GLIMMIX procedure. A total of three patterns of the trajectory of change in urbanization were identified in 304 communities (with 1862 measurements). A total of 25.8% of communities had a low initial urbanization level and continuous increase (termed “LU”), 22.2% of communities had a low–middle initial urbanization level and constant increase (termed “LMU”), and 52.0% of communities had a middle–high initial urbanization and significant increase before 2009, followed by a stable platform since then (termed “MHU”). During the 30 follow-up years, a total of 69490 visits, contributed by 16768 adult participants, were included in the analysis. In the period, weight and BMI were observed in an increasing trend in all urbanization trajectory groups, among both men and women. Compared with LU, men living in MHU were related to higher weight, BMI, and an increased risk of OO (OR: 1.46, 95%CI: 1.26 to 1.69). No significant associations were found between urbanization trajectories and OB risk in men. Among women, the associations between urbanization and all obesity indicators became insignificant after controlling the covariates. Obesity indicators increased along with urbanization in the past thirty years in China. However, the differences among urbanization trajectories narrowed over time. More urbanized features were only significantly associated with a higher risk of obesity indicators in Chinese men. The effects of urbanization on obesity among women were buffered.

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Section: Discussionsupporting

confidence: 86%

Thirty-Year Urbanization Trajectories and Obesity in Modernizing China

Wang

et al. 2022

IJERPH

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“…As an example, let us take the average weight of representatives of the adult population of Russia. According to recent studies, it is 82.2 kg for men and 72.6 kg for women [ 19 ]. These values are comparable for a number of countries both in Europe, Oceania, and North America [ 20 , 21 , 22 , 23 , 24 ].…”

Section: Methodsmentioning

confidence: 99%

Estimating the Mass of Food Components Necessary for the Utilization of Free Radical Particles in the Human Body

Gorbachev

Nikulchev

Kosenkov

et al. 2022

IJERPH

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The article proposes an algorithm for an approximate assessment of the molar volume of free radicals generated in the human body per day. It takes into account the act of breathing, physical activity, food consumption, the influence of unfavorable environmental conditions, exposure to xenobiotics, as well as bad habits (alcohol and tobacco smoking). A calculation of the required set of the most commonly used food products for the disposal of free radicals was made. The calculation is a structure of four blocks with the possibility of adding optional data from human population genetic studies, environmental conditions, etc. In the proposed algorithm, the results of antiradical activity (ARA) of food products are used as input, including the results of predicting antiradical activity using artificial neural networks (ANN), which we published earlier. Based on the accepted values of one equivalent (in terms of the activity of 1 μmol of ascorbic acid), it was shown (for our data) that for the utilization of all free radicals produced in the human body per day, it will take an average of ≈260 to ≈540 g of food components in terms of dry mass (including proteins, fats, carbohydrates, etc.). At the same time, for the utilization of consumed xenobiotics, from 220 mg (in terms of vitamin C) to 260 mg (in terms of acetylcysteine -NAC ) of additional plastic components or 11.5–13.0 g of essential amino acids will be required, which must be taken into account when calculating diets. This approach will be useful in the development of new functional foods, as well as in assessing the possible impact of diets on human health. Another applied point of this study is related to the possibility of using these data for better detailing and selection of food products for people working in conditions of increased radiation (in space conditions), in contact with harmful substances (chemical synthesis and production), for people practicing increased physical activity (bodybuilding and sports), and for the purposes of medical nutritional therapy.

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“…Two billion people worldwide over the age of 18, or approximately 30% of the world’s population, are overweight or obese [ 1 ]. In Russia, from 2012 to 2018, the number overweight individuals increased by 7.8%, amounting to 40.3% [ 2 ]. In the Novosibirsk region, the prevalence of obesity was 35.0%; among men, it was 20.7%, and among women it was 47.0% [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Adipokine Levels in Men with Coronary Atherosclerosis on the Background of Abdominal Obesity

Striukova

Шрамко

Kashtanova

et al. 2022

JPM

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Background. Obesity is associated with dyslipidemia, and excess body fat is associated with unfavorable levels of adipokines and markers of inflammation. The goal of research. To study the level of adipokines and markers of inflammation, their associations with unstable atherosclerotic plaques in men with coronary atherosclerosis on the background of abdominal obesity. Materials and methods. The study involved 82 men aged 40–77 years with coronary atherosclerosis after endarterectomy from the coronary arteries. We divided all men into two groups: 37 men (45.1%) with unstable atherosclerotic plaques, and 45 men (54.9%) who had stable plaques. Obesity was established at a BMI of ≥30 kg/m2. The levels of adipokines and markers of inflammation in the blood were determined by multiplex analysis. Results. In patients with obesity and unstable plaques, the levels of C-peptide, TNFa and IL-6 were 1.8, 1.6, and 2.8 times higher, respectively, than in patients with obesity and stable plaques. The chance of having an unstable plaque increases with an increase in TNFa by 49% in obese patients and decreases with an increase in insulin by 3% in non-obese patients. Conclusions. In men with coronary atherosclerosis and obesity, unstable atherosclerotic plaques in the coronary arteries are directly associated with the level of TNF-α.

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The prevalence of obesity in various socio-demographic groups of the population of Russia

Cited by 15 publications

References 0 publications

Thirty-Year Urbanization Trajectories and Obesity in Modernizing China

Thirty-Year Urbanization Trajectories and Obesity in Modernizing China

Estimating the Mass of Food Components Necessary for the Utilization of Free Radical Particles in the Human Body

Adipokine Levels in Men with Coronary Atherosclerosis on the Background of Abdominal Obesity

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