Obesity phenotypes and the risk of myocardial infarction: a prospective cohort study
https://doi.org/10.15829/1560-4071-2019-6-109-114
Abstract
Aim. To study the dynamics of obesity phenotypes and risk of myocardial infarction (MI) during 13-year follow-up period.
Material and methods. The study was performed based on the material of the international project HAPIEE (population sample of men and women 45-69 years old, n=9360, basic survey 2003-2005). The analysis included persons with a body mass index (BMI) >30 kg/m2: 3197 people; 857 men (26,8%) and 2340 women (73,2%). To analyze the incidence of MI, a sample of 3008 subjects free from baseline history of MI was selected (752 men and 2256 women). New cases of myocardial infarction have been collected according to the data of the WHO “Register of Acute Myocardial Infarction” program, held at the Research Institute of Therapy and Preventive Medicine; the results of two repeated examinations (2006-2008 and 2015-2017) and repeated postal interview of cohort during 13-year follow-up. The analysis was carried out in individuals with a metabolically phenotype of healthy obesity (MHO). The MHO is defined according to various classifications: NCEPATPIII 2001 — in the presence of 2 and/or less components of the metabolic syndrome; IDF 2005 — waist circumference (WC) >94 cm in men and >80 cm in women and one or no risk factor; Russian Society of Cardiology (RSC) — the index of waist circumference/hip circumference (WC/HC) <0,9 in men and <0,85 in women. Statistical analysis was performed using the SPSS (V. 13.0) package. Results. The frequency of MHO in studied sample was 20% (by IDF); 45% (by NCEPATPIII); — 31% (by RSC criteria). During 13-year prospective follow-up among participants with MHO 51-59% of subjects developed metabolically unhealthy obesity phenotype (MUH). Women were more likely to retain MHO according to NCEP ATP III and RSC criteria, and more frequently transited, to MUH, according to IDF and RSC criteria than men during 13 years.
The relative risk of MI in subjects with MHO was 2,5 times lower than in those with MUO: OR=1,9 (95% CI: 1,2; 2,9) by NCEPATP III; OR=3,2 (95% CI: 1,7; 6,1) by RSC; no significant difference was found in the incidence of MI by IDF criteria, p>0,05. Conclusion. MHO is unstable condition accompanied by transition to the MUH among more than half of men and women during 13 years of observation. In studied population cohort the 13-years risk of incident MI in subjects with MUO was higher compared to MHO: OR=1,9 (95% CI: 1,2; 2,9) by NCEPATP III; OR=3,2 (95% CI: 1,7; 6,1) by RSC criteria.
About the Authors
S. V. MustafinaRussian Federation
Mustafina Svetlana Vladimirovna.
Novosibirsk.
Competing Interests: Nothing to declare
D. A. Vinter
Russian Federation
Winter Darya Alekseevna.
Novosibirsk.
Competing Interests: Nothing to declare
O. D. Rymar
Russian Federation
Rymar Oksana Dmitrievna.
Novosibirsk.
Competing Interests: Nothing to declare
L. V. Scherbakova
Russian Federation
Shcherbakova Liliya Valeryevna.
Novosibirsk.
Competing Interests: Nothing to declare
V. V. Gafarov
Russian Federation
Gafarov Valeriy Vasilyevich.
Novosibirsk.
Competing Interests: Nothing to declare
D. O. Panov
Russian Federation
Panov Dmitriy Olegovich.
Novosibirsk.
Competing Interests: Nothing to declare
E. A. Gromova
Russian Federation
Gromova Elena Alekseevna.
Novosibirsk.
Competing Interests: Nothing to declare
A. V. Gafarova
Russian Federation
Gafarova Almira Valeryevna.
Novosibirsk.
Competing Interests: Nothing to declare
E. G. Verevkin
Russian Federation
Verevkin Evgeniy Georgievich.
Novosibirsk.
Competing Interests: Nothing to declare
T. I. Nikitenko
Russian Federation
Nikitenko Tatyana Ivanovna.
Novosibirsk.
Competing Interests: Nothing to declare
M. Bobak
United Kingdom
Bobak Martin — PhD, Department of Epidemiology and Public Health.
London.
Competing Interests: Nothing to declare
S. K. Malyutina
Russian Federation
Malyutina Sofya Konstantinovna.
Novosibirsk.
Competing Interests: Nothing to declare
References
1. Primeau V, Coderre L, Karelis AD, et al. Characterizing the profile of obese patients who are metabolically healthy. International Journal of Obesity. 2011 Jul;35 (7):971-81. doi:10.1038/ijo.2010.216.
2. Lin H, Zhang L, Zheng R, et al. The prevalence, metabolic risk and effects of lifestyle intervention for metabolically healthy obesity: a systematic review and meta-analysis: A PRISMA-compliant article. Medicine (Baltimore). 2017 Nov;96 (47): e8838. doi:101097/MD.0000000000008838.
3. Mustafina SV, Shherbakova LV, Kozupeeva DA, et al. The expansion of metabolic syndrome according to data of epidemiological research in 45-69 years old patients in Novosibirsk. 2018;15;4:31-7 (In Russ.) doi:10.14341/omet9615.
4. Li L, Chen K, Wang AP, et al. Cardiovascular disease outcomes in metabolically healthy obesity in communities of Beijing cohort study. Int J Clin Pract. 2018 Sep 30: e13279. doi:10.1111/ijcp.13279.
5. de Winter M, Rioux BV, Boudreau JG, et al. Physical Activity and Sedentary Patterns among Metabolically Healthy Individuals Living with Obesity. J Diabetes Res. 2018 Mar 8;2018:7496768. doi:10.1155/2018/7496768.
6. Hansen L, Netterstrom MK, Johansen NB, et al. Metabolically Healthy Obesity and Ischemic Heart Disease: A 10-Year Follow-Up of the Inter99 Study. J Clin Endocrinol Metab. 2017 Jun 1;102 (6):1934-42. doi:10.1210/jc.2016-3346.
7. 7 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 Sep 19;70 (12):1429-37 doi:10.1016/j.jacc.201707763.
8. Ortega FB, Lee DC, Katzmarzyk PT, et al. The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness. Eur Heart J. 2013 Feb;34 (5):389-97. doi:10.1093/eurheartj/ehs174.
9. Echouffo-Tcheugui JB, Short MI, Xanthakis V, et al. Natural History of Obesity Subphenotypes: Dynamic Changes Over Two Decades and Prognosis in the Framingham Heart Study. J Clin Endocrinol Metab. 2019 Mar 1;104 (3):738-52. doi:10.1210/jc.2018-01321.
10. Peasey A, Bobak M, Kubinova R, et al. Determinants of cardiovasclular disease and other non-communicable diseases in Central and Eastern Europe: rationale and design of the HAPIEE study. BMC Public Health. 2006 Oct 18;6:255. doi:10.1186/1471-2458-6-255.
11. Kouvari M, Panagiotakos DB, Yannakoulia M, et al. Transition from metabolically benign to metabolically unhealthy obesity and 10-year cardiovascular disease incidence: The ATTICA cohort study. Metabolism. 2019 Apr;93:18-24. doi:101016/j.metabol.2019.01.003.
12. Mongraw-Chaffin M, Foster MC, Anderson CAM, et al. Metabolically Healthy Obesity, Transition to Metabolic Syndrome, and Cardiovascular Risk. J Am Coll Cardiol. 2018 May 1;71 (17):1857-65. doi:10.1016/j.jacc.2018.02.055.
13. Morkedal B, Vatten LJ, Romundstad PR, et al. Risk of myocardial infarction and heart failure among metabolically healthy but obese individuals: HUNT (Nord-Trondelag Health Study), Norway. Journal of the American College of Cardiology. 2014 Mar 25;63 (11):1071-8. doi:10.1016/j.jacc.2013.11.035.
14. Hamer M, Stamatakis E. Metabolically healthy obesity and risk of all-cause and cardiovascular disease mortality. J Clin Endocrinol Metab. 2012 Jul;97 (7):2482-8. doi:10.1210/jc.2011-3475.
15. Xu Y, Li H, Wang A, et al. Association between the metabolically healthy obese phenotype and the risk of myocardial infarction: results from the Kailuan study. European Journal of Endocrinology. 2018 Dec 1;179 (6):343-52. doi:10.1530/EJE-18-0356.
Review
For citations:
Mustafina S.V., Vinter D.A., Rymar O.D., Scherbakova L.V., Gafarov V.V., Panov D.O., Gromova E.A., Gafarova A.V., Verevkin E.G., Nikitenko T.I., Bobak M., Malyutina S.K. Obesity phenotypes and the risk of myocardial infarction: a prospective cohort study. Russian Journal of Cardiology. 2019;(6):109-114. (In Russ.) https://doi.org/10.15829/1560-4071-2019-6-109-114