Prevalence of metabolic phenotypes among citizens of Arctic area of the Russian Federation (in Arkhangelsk city setting)
https://doi.org/10.14341/omet12926
Abstract
BACKGROUND: Influence of obesity on the body at whole and with regard to metabolic changes is still unclear. In Russia there are a few data about prevalence of metabolic phenotypes among population based on epidemiological data.
AIM: to assess the prevalence of metabolic phenotypes among citizens of Arctic area of the Russian Federation (in the Arkhangelsk city setting).
MATERIALS AND METHODS: a cross-sectional study was conducted using a random sample of Arkhangelsk citizens (n=2380) 35–69 years old, which was obtained within a population study of cardiovascular diseases («Know your heart» (KYH)). The participants were divided into metabolic phenotypes according to the presence of obesity (BMI≥30 kg/m2) and metabolic syndrome (AHA/NHBLI): phenotype 1 — metabolically healthy normal weight, phenotype 2 — metabolically unhealthy normal weight, phenotype 3 — metabolically healthy obesity, phenotype 4 — metabolically unhealthy obesity.
RESULTS: 2352 participants of KYH were included in the study, 982 (41,8%) men and 1370 (58,3%) women. Mean age was 53,9 (SD 9,7) years. The distribution of participants by metabolic phenotypes was as follows: 1167 (49,6%) persons had phenotype 1, 489 (20,8%) — phenotype 2, 248 (10,5%) — phenotype 3, 448 (19,1%) — phenotype 4. In men, the second common after the first phenotype was phenotype 2, while in women, the second position was shared by the 2nd and 4th phenotypes, which had approximately the same frequency. «Arterial hypertension» was the most prevalent component of metabolic syndrome and seen in 68–96% men and 38–94% women in the study with different phenotypes. The proportions of phenotypes with metabolic disorders increased with age.
CONCLUSION: in a study of a random population sample within the framework of the concept of metabolic phenotypes, a half of the participants had no obesity and metabolic syndrome. Proportions of participants with metabolic disorders with and without obesity was 20% each. Only 10% of participants had «metabolically healthy» obesity. If excluding individuals without obesity and metabolic syndrome, the phenotype characterized by metabolic disorders in the absence of obesity was the most common among men. Phenotypes with metabolic disorders on the background of obesity or without obesity were equally common among women. The most common component of metabolic syndrome was «arterial hypertension». There was a tendency of accumulation of metabolic disturbances with age.
About the Authors
A. V. PostoevaRussian Federation
Anna V. Postoeva, MD, PhD
51 Troickij street, 163001, Arkhangelsk
I. V. Dvoryashina
Russian Federation
Irina V. Dvoryashina, MD, PhD, professor
Arkhangelsk
A. V. Kudryavtsev
Russian Federation
Alexander V. Kudryavtsev, MD, PhD
Arkhangelsk
V. A. Postoev
Russian Federation
Vitaly A. Postoev, MD, PhD
Arkhangelsk
References
1. World Health Organization (WHO) [Internet]. Obesity and overweight [cited 28.04.2023]. Available from: who.int
2. Balanova YuA, Shalnova SA, Deev AD, et al. Obesity in Russian population — prevalence and association with the non-communicable diseases risk factors. Russ J Cardiol. 2018;23(6):123-130. (In Russ.). doi: https://doi.org/10.15829/1560-4071-2018-6-123-130
3. Kramer CK, Zinman B, Retnakaran R. Are metabolically healthy overweight and obesity benign conditions?: A systematic review and meta-analysis. Ann Intern Med. 2013;159(11):758-769. doi: https://doi.org/10.7326/0003-4819-159-11-201312030-00008
4. van Vliet-Ostaptchouk JV, Nuotio M-L, Slagter SN, et al. The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: a collaborative analysis of ten large cohort studies. BMC Endocr Disord. 2014;14(1):9. doi: https://doi.org/10.1186/1472-6823-14-9
5. Blüher M. Metabolically healthy obesity. Endocr Rev. 2020;41(3):9. doi: https://doi.org/10.1210/endrev/bnaa004
6. Cordola Hsu AR, Ames SL, Xie B, et al. Incidence of diabetes according to metabolically healthy or unhealthy normal weight or overweight/obesity in postmenopausal women: the Women’s Health Initiative. Menopause. 2020;27(6):640-647. doi: https://doi.org/10.1097/GME.0000000000001512
7. Alberti KGMM, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome. Circulation. 2009;120(16):1640-1645. doi: https://doi.org/10.1161/CIRCULATIONAHA.109.192644
8. Cook S, Malyutina S, Kudryavtsev AV, et al. Know your heart: Rationale, design and conduct of a cross-sectional study of cardiovascular structure, function and risk factors in 4500 men and women aged 35-69 years from two Russian cities, 2015-18. Wellcome Open Res. 2018;(3):67. doi: https://doi.org/10.12688/wellcomeopenres.14619.3
9. Guh DP, Zhang W, Bansback N, et al. The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis. BMC Public Health. 2009;9(1):88. doi: https://doi.org/10.1186/1471-2458-9-88
10. Samocha-Bonet D, Dixit VD, Kahn CR, et al. Metabolically healthy and unhealthy obese - the 2013 Stock Conference report. Obes Rev. 2014;15(9):697-708. doi: https://doi.org/10.1111/obr.12199
11. Iacobellis G, Sharma AM. Obesity and the heart: redefinition of the relationship. Obes Rev. 2007;8(1):35-39. doi: https://doi.org/10.1111/j.1467-789X.2006.00257.x
12. Barry VW, Baruth M, Beets MW, et al. Fitness vs. fatness on all-cause mortality: A meta-analysis. Prog Cardiovasc Dis. 2014;56(4):382-390. doi: https://doi.org/10.1016/j.pcad.2013.09.002
13. Caleyachetty R, Thomas GN, Toulis KA, et al. Metabolically healthy obese and incident cardiovascular disease events among 3.5 million men and women. J Am Coll Cardiol. 2017;70(12):1429-1437. doi: https://doi.org/10.1016/j.jacc.2017.07.763
14. Rotar O, Boyarinova M, Orlov A, et al. Metabolically healthy obese and metabolically unhealthy non-obese phenotypes in a Russian population. Eur J Epidemiol. 2017;32(3):251-254. doi: https://doi.org/10.1007/s10654-016-0221-z
15. Mustafina SV, Vinter DA, Shcherbakova LV, et al. Gender and age related features of metabolically healthy obesity phenotype prevalence. Bulletin of Siberian Medicine. 2020;19(1):76-84. (In Russ.). doi: https://doi.org/10.20538/1682-0363-2020-1-76-84
16. Balanova YA, Shalnova SA, Imaeva AE, et al. Prevalence, awareness, treatment and control of hypertension in russian federation (data of observational esserf-2 study). Ration Pharmacother Cardiol. 2019;15(4):450-466. (In Russ.). doi: https://doi.org/10.20996/1819-6446-2019-15-4-450-466
17. Badin YV, Fomin IV, Belenkov YN, et al. EPOCHA-AH 1998–2017. Dynamics of prevalence, awareness of arterial hypertension, treatment coverage, and effective control of blood pressure in the European part of the Russian Federation. Kardiologiia. 2019;59(1S):34-42. (In Russ.). doi: https://doi.org/10.18087/cardio.2445
18. Orozco-Ruiz LX, Breteler MMB, Lahmann PH. Prevalence and characteristics of metabolic phenotypes: The Rhineland study, Germany. Rev Epidemiol Sante Publique. 2018;66:S319-S320. doi: https://doi.org/10.1016/j.respe.2018.05.216
19. Goday A, Calvo E, Vázquez LA, et al. Prevalence and clinical characteristics of metabolically healthy obese individuals and other obese/non-obese metabolic phenotypes in a working population: results from the Icaria study. BMC Public Health. 2016;16(1):248. doi: https://doi.org/10.1186/s12889-016-2921-4
20. Kholmatova K, Krettek A, Leon DA, et al. Obesity prevalence and associated socio-demographic characteristics and health behaviors in Russia and Norway. Int J Environ Res Public Health. 2022;19(15):9428. doi: https://doi.org/10.3390/ijerph19159428
21. Velando A, Costa MM, Kim S-Y. Sex-specific phenotypes and metabolism-related gene expression in juvenile sticklebacks. Behav Ecol. 2017;28(6):1553-1563. doi: https://doi.org/10.1093/beheco/arx129
22. Kessler K, Pivovarova-Ramich O. Meal timing, aging, and metabolic health. Int J Mol Sci. 2019;20(8):1911. doi: https://doi.org/10.3390/ijms20081911
23. Solonin YuG, Boiko ER. Mediko-physiologicheskie aspekti of zhiznedeyatelnosti v Arktike // Arktika: ecology and economy. 2015;1(17):70-75 (In Russ.).
Supplementary files
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1. Figure 1. The structure of metabolic phenotypes in different age groups of men (%) | |
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2. Figure 2. Structure of metabolic phenotypes in different age groups of women (%) | |
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3. Figure 3. Frequency distribution of components of metabolic syndrome in men (left) and women (right) with different metabolic phenotypes | |
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Review
For citations:
Postoeva A.V., Dvoryashina I.V., Kudryavtsev A.V., Postoev V.A. Prevalence of metabolic phenotypes among citizens of Arctic area of the Russian Federation (in Arkhangelsk city setting). Obesity and metabolism. 2023;20(1):34-42. (In Russ.) https://doi.org/10.14341/omet12926

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