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Type 2 diabetes and prediabetes prevalence in patients with different risk factor combinations in the NATION study

https://doi.org/10.14341/DM12286

Abstract

BACKGROUND: Type 2 diabetes (T2D) is multifactorial disease. NATION epidemiological study may provide the information about the prevalence of T2D and prediabetic state in patients with different risk factor combinations in Russian population.


AIMS: To evaluate the prevalence of T2D and prediabetic state in NATION cohort depending on the amount of diabetes risk factors.


MATERIALS AND METHODS: NATION is an epidemiological, cross-sectional study, designed to assess the prevalence of T2D in Russian adult population, where HbA1c was used to establish T2D (HbAc≥6,5%) and prediabetes (5,7%≤HbA1c<6,5%). Patients with T2D were either previously diagnosed or newly diagnosed. Current study presents an additional analysis of NATION cohort focused on the prevalence of T2D and prediabetic state among patients with different risk factor combinations.


RESULTS: T2D and prediabetic state prevalence gradually increased among patients with following risk factors (prevalence of T2D and prediabetes respectively): low physical activity (4,3%, 18,3%), rare fruit and vegetable consumption (4,8%, 18,7%), T2D family history (7,7%, 20,3%), age ≥45 years (9,5%, 31,3%), obesity grade 1 (9,6%, 30,3%), obesity grade 2 (14,6%, 37,8%), obesity grade 3 (20,1%, 39,7%), hypertension (14,7%, 38,2%), history of diabetes during pregnancy (14,1%, 24,7%). Prevalence of T2D with single and multiple risk factors was compared to the prevalence of T2D in young patients (<45 years) without additional diabetes risk factors. Age ≥45 years was associated with 7-fold increase in T2D prevalence; obesity – 8,8-fold; family history – 5,7-fold; hypertension – 10,8-fold (p<0,001 for comparisons of every group with patients <45 years of age without other risk factors). When one patient had several risk factors combined, the prevalence of T2D increased progressively: combination of age ≥45 years and family history led to 10,7-fold rise; combination of age ≥45 years and BMI≥30kg/m2 – 11,2-fold; combination of age ≥45 years, family history and BMI≥30kg/m2 – 15,3-fold; combination of age ≥45 years, family history, BMI≥30kg/m2 and hypertension – 19,1-fold (p<0,001 for comparisons of every group with patients <45 years of age without other risk factors).


CONCLUSIONS: Presence of multiple risk factors, such as age ≥45 years, obesity and hypertension led to progressive increase in the prevalence of T2D and prediabetic state. These data are important to identify patients at the highest risk of T2D among Russian population.

About the Authors

Ekaterina A. Shestakova
https://www.endocrincentr.ru/doctors/shestakova-ekaterina-alekseevna
Endocrinology Research Centre
Russian Federation

MD, PhD



Elena Y. Lunina
Sanofi
Rwanda

MD, PhD



Gagik R. Galstyan
Endocrinology Research Centre
Russian Federation

MD, PhD, Professor



Marina V. Shestakova
Endocrinology Research Centre
Russian Federation

MD, PhD, Professor



Ivan I. Dedov
Endocrinology Research Centre
Russian Federation

MD, PhD, Professor



References

1. World Health Organization. Obesity and overweight [Internet]. WHO; 2020 [cited 2020 March 3]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight

2. Dedov I, Shestakova M, Benedetti MM, et al. Prevalence of type 2 diabetes mellitus (t2dm) in the adult russian population (nation study). Diabetes Res Clin Pract. 2016;115:90−95. doi: https://doi.org/10.1016/j.diabres.2016.02.010

3. Kontsevaya A, Shalnova S, Deev A, et al. Overweight and obesity in the russian population: prevalence in adults and association with socioeconomic parameters and cardiovascular risk factors. Obes Facts. 2019;12(1):103–114. doi: https://doi.org/10.1159/000493885

4. World Health Organization. Regional office for Europe. Body mass index - BMI [Internet]. WHO; 2020 WHO; 2020 [cited 2020 March 3]. Avaiable from: http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi

5. Дедов И.И., Шестакова М.В., Майоров А.Ю., и др. Алгоритмы специализированной медицинской помощи больным сахарным диабетом / Под ред. И.И. Дедова, М.В. Шестаковой, А.Ю. Майорова. 9-й выпуск // Сахарный диабет. — 2019. — Т. 22. — №S1-1. — C. 1−144. [Dedov II, Shestakova MV, Mayorov AY, et al. Standards of specialized diabetes care. Edited by Dedov II, Shestakova MV, Mayorov AY. 9th edition. Diabetes Mellitus. 2019;22(S1-1):1–144. (In Russ.)] doi: https://doi.org/10.14341/DM221S1

6. Williams B, Mancia G, Spiering W, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J. 2018;39(33):3021–3104. doi: https://doi.org/10.1093/eurheartj/ehy339

7. American Diabetes Association. Classification and diagnosis of diabetes: standards of medical care in diabetes-2020. Diabetes Care. 2020;43(Suppl 1):S14−S31. doi: https://doi.org/10.2337/dc20-S002

8. Мустафина С.В., Симонова Г.И., Рымар О.Д. Сравнительная характеристика шкал риска сахарного диабета 2 типа // Сахарный диабет. — 2014. — №3. — С. 17−22. [Mustafina SV, Simonova GI, Rymar OD. Comparative characteristics of diabetes risk scores. Diabetes Mellitus. 2014;(3):17–22. (In Russ.)] doi: https://doi.org/10.14341/DM2014317-22

9. Smith AD, Crippa A, Woodcock J, Brage S. Physical activity and incident type 2 diabetes mellitus: a systematic review and dose-response meta-analysis of prospective cohort studies. Diabetologia. 2016;59(12):2527–2545. doi: https://doi.org/10.1007/s00125-016-4079-0

10. Schwingshackl L, Hoffmann G, Lampousi AM, et al. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur J Epidemiol. 2017;32(5):363–375. doi: https://doi.org/10.1007/s10654-017-0246-y

11. Zhang Y, Pan XF, Chen J, et al. Combined lifestyle factors and risk of incident type 2 diabetes and prognosis among individuals with type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies. Diabetologia. 2020;63(1):21–33. doi: https://doi.org/10.1007/s00125-019-04985-9

12. Gong Q, Zhang P, Wang J, et al. Morbidity and mortality after lifestyle intervention for people with impaired glucose tolerance: 30-year results of the da qing diabetes prevention outcome study. Lancet Diabetes Endocrinol. 2019;7(6):452–461. doi: https://doi.org/10.1016/S2213-8587(19)30093-2


Supplementary files

1. Fig. 1. The prevalence of type 2 diabetes in individuals with individual risk factors (NATION population): T2DM - type 2 diabetes.
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2. Fig. 2. The prevalence of prediabetic disorders of carbohydrate metabolism in individuals with individual risk factors (NATION population).
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3. Fig. 3. An increase in the likelihood of type 2 diabetes mellitus depending on a combination of risk factors for carbohydrate metabolism disorders (in comparison with a group aged <45 years without risk factors): T2DM - type 2 diabetes mellitus.
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Review

For citations:


Shestakova E.A., Lunina E.Y., Galstyan G.R., Shestakova M.V., Dedov I.I. Type 2 diabetes and prediabetes prevalence in patients with different risk factor combinations in the NATION study. Diabetes mellitus. 2020;23(1):4-11. (In Russ.) https://doi.org/10.14341/DM12286

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ISSN 2072-0351 (Print)
ISSN 2072-0378 (Online)