Preview

Title

Advanced search

Glucose Levels Associated with the Occurrence of New Cases of Type 2 Diabetes Mellitus in Men and Women Aged 45–69 Years in Novosibirsk

https://doi.org/10.31550/1727-2378-2024-23-4-38-44

Abstract

Aim. What glucose level is associated with the occurrence of new cases of diabetes mellitus 2 type (T2DM).

Design. Prospective cohort study.

Materials and methods. A survey of a representative sample of Novosibirsk residents was carried out in 2003–2005 as part of the international project Health, Alcohol and Psychosocial factors in Eastern Europe. The presented work included indicators of 3146 people aged 45–69 years without a previous history of carbohydrate metabolism disorders (all individuals with established T2DM at the time of the initial examination were excluded from the analysis). The study included people without a history of diabetes, examined in 2003–2005 and again in 2015–2018. New cases of T2DM were diagnosed in 2003–2021. According to epidemiological criteria, diabetes was established when the fasting blood glucose level was ≥ 7.0 mmol/l, according to the anamnesis and the City Diabetes Registry.

Results. Initially, elevated fasting glucose concentrations (5.6–6.9 mmol/l) were detected in 45.3% of participants (28.5% — 5.6– 6.0 mmol/l, hyperglycemia 6.1–6.9 mmol/l — 16.8%). According to dynamic observation data, by 2021, 316 (10.1%) people will be diagnosed with T2DM. The threshold blood glucose value that determines the risk of developing T2DM over time is 5.7 mmol/l, Se = 64.2%, Sp = 61.4%, AUC = 0.67.

Conclusion. According to our data, among residents of Novosibirsk aged 45–69 years without diabetes, the prevalence of fasting hyperglycemia is high (5.6 mmol/l or more). Glucose level 5.7 mmol/L is the threshold value associated with new cases of T2DM in people 45–69 years of age.

About the Authors

S. V. Mustafina
Research Institute of Internal and Preventive Medicine — Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences
Russian Federation

Mustafina, S.V.

175/1 Boris Bogatkov Str., Novosibirsk, 630089



L. V. Shcherbakova
Research Institute of Internal and Preventive Medicine — Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences
Russian Federation

Shcherbakova, L.V.

175/1 Boris Bogatkov Str., Novosibirsk, 630089



V. I. Alferova
Research Institute of Internal and Preventive Medicine — Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences
Russian Federation

Alferova, V.I.

175/1 Boris Bogatkov Str., Novosibirsk, 630089



V. A. Mogilnaya
Research Institute of Internal and Preventive Medicine — Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences
Russian Federation

Mogilnaya, V.A.

175/1 Boris Bogatkov Str., Novosibirsk, 630089



S. K. Malyutina
Research Institute of Internal and Preventive Medicine — Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences
Russian Federation

Malyutina, S.K.

175/1 Boris Bogatkov Str., Novosibirsk, 630089



O. D. Rymar
Research Institute of Internal and Preventive Medicine — Branch of the Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences
Russian Federation

Rymar, O.D.

175/1 Boris Bogatkov Str., Novosibirsk, 630089



References

1. Succurro E., Cicone F., Papa A., Miceli S. et al. Impaired insulinstimulated myocardial glucose metabolic rate is associated with reduced estimated myocardial energetic efficiency in subjects with different degrees of glucose tolerance. Cardiovasc. Diabetol. 2023;22(1):4. DOI: 10.1186/s12933-022-01733-z

2. Ametov A.S. Diabetes mellitus type 2. Problems and solutions. M.: GEOTAR-Media; 2017. Vol. 8. 336 p. (in Russian)

3. Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 1997;20(7): 1183–97. DOI: 10.2337/diacare.20.7.1183

4. Davies M.J., Aroda V.R., Collins B.S., Gabbay R.A. et al. Management of hyperglycemia in type 2 diabetes, 2022. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2022;45(11):2753–86. DOI: 10.2337/dci22-0034

5. ElSayed N.A., Aleppo G., Aroda V.R., Bannuru R.R. et al. 2. Classification and diagnosis of diabetes: standards of care in diabetes-2023. Diabetes Care. 2023;46(suppl.1):S19–40. DOI: 10.2337/dc23-S002

6. Petunina N.A., Martirosian N.S., Khachaturov M.V., Zhutaeva M.A. et al. Diagnosis and treatment of prediabetes as prevention of type 2 diabetes: a review. Consilium Medicum. 2023; 25(4):229–35. (in Russian). DOI: 10.26442/20751753.2023.4.202312

7. Iriarte-Campo V., de Burgos-Lunar C., Mostaza J., Lahoz C. et al. Incidence of T2DM and the role of baseline glycaemic status as a determinant in a metropolitan population in northern Madrid (Spain). Diabetes Res. Clin. Pract. 2024;209:111119. DOI: 10.1016/j.diabres.2024.111119

8. Shabalin V.V., Grinshtein Yu.I., Ruf R.R., Filonenko I.V. et al. Prevalence of carbohydrate metabolism disorders and association with cardiovascular diseases in a large Siberian region. Russian Journal of Cardiology. 2022;27(5):4992. (in Russian). DOI: 10.15829/1560-4071-2022-4992

9. Dedov I.I., Shestakova M.V., Galstyan G.R. The prevalence of type 2 diabetes mellitus in the adult population of Russia (NATION study). Diabetes Mellitus. 2016;19(2):104–12. (in Russian). DOI: 10.14341/DM2004116-17

10. Rijkelijkhuizen J.M., Nijpels G., Heine R.J., Bouter L.M. et al. High risk of cardiovascular mortality in individuals with impaired fasting glucose is explained by conversion to diabetes: the Hoorn study. Diabetes Care. 2007;30(2):332–6. DOI: 10.2337/dc06-1238

11. He L., Zheng W., Li Z., Chen L. et al. J-shape relationship between normal fasting plasma glucose and risk of type 2 diabetes in the general population: results from two cohort studies. J. Transl. Med. 2023;21:175. DOI: 10.1186/s12967-023-04006-9

12. Pan Y., Chen W., Wang Y. Prediabetes and outcome of ischemic stroke or transient ischemic attack: a systematic review and metaanalysis. J. Stroke Cerebrovasc. Dis. 2019;28(3):683–92. DOI: 10.1016/j.jstrokecerebrovasdis.2018.11.008

13. Mavrogianni C., Lambrinou C.P., Androutsos O., Lindström J. et al. Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middleaged adults in a large-scale European cohort. The Feel4Diabetesstudy. Diabetes Res. Clin. Pract. 2019;150:99–110. DOI: 10.1016/j.diabres.2019.02.017

14. Wang Z., Liu Z., He S. Fasting plasma glucose and risk of type 2 diabetes mellitus in a group of Chinese people with normoglycemia and without obesity. J. Diabetes. 2021;13(7):601–2. DOI: 10.1111/1753-0407.13180

15. Munekawa C., Okada H., Hamaguchi M., Habu M. et al. Fasting plasma glucose level in the range of 90–99 mg/dL and the risk of the onset of type 2 diabetes: population-based Panasonic cohort study 2. J. Diabetes Investig. 2022;13(3):453–9. DOI: 10.1111/jdi.13692

16. Barbarash O.L., Voyevoda M.I., Galstyan G.R., Shestakova M.V. et al. Pre-diabetes as an interdisciplinary problem: definition, risks, approaches to the diagnostics and prevention of type 2 diabetes and cardiovascular complications. Russian Journal of Cardiology. 2019;4:83–91. (in Russian). DOI: 10.15829/1560-4071-2019-4-83-91

17. Echouffo-Tcheugui J.B., Selvin E. Prediabetes and what it means: the epidemiological evidence. Annu Rev. Public Health. 2021;42: 59–77. DOI: 10.1146/annurev-publhealth090419-102644

18. Grundlingh N., Zewotir T.T., Roberts D.J., Manda S. Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa. J. Health Popul. Nutr. 2022;41(1):7. DOI: 10.1186/s41043-022-00281-2

19. Mustafina S.V., Simonova G.I., Rymar O.D. Comparative characteristics of diabetes risk scores. Diabetes Mellitus. 2014;17(3):17-22. (in Russian). DOI: 10.14341/DM2014317-22

20. Mel'nikova E.S., Rymar O.D., Ivanova A.A., Mustafina S.V. et al. Association of polymorphisms of genes TCF7L2, FABP2, KCNQ1, ADIPOQ with the prognosis of the development of type 2 diabetes mellitus. Therapeutic Archive. 2020;92(10):40–7. (in Russian). DOI: 10.26442/00403660.2020.10.000393

21. Yun J.S., Jung S.H., Shivakumar M., Xiao B. et al. Polygenic risk for type 2 diabetes, lifestyle, metabolic health, and cardiovascular disease: a prospective UK Biobank study. Cardiovasc. Diabetol. 2022;21(1):131. https://doi.org/10.1186/s12933-022-01560-2

22. Hippisley-Cox J., Coupland C., Robson J., Sheikh A. et al. Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ. 2009;338:b880. DOI: 10.1136/bmj.b880

23. Mustafina S.V., Rymar O.D., Shcherbakova L.V., Verevkin E.G. et al. The risk of type 2 diabetes mellitus in a Russian population cohort according to data from the HAPIEE project. Journal of Personalized Medicine. 2021;11(2):119. DOI: 10.3390/jpm11020119

24. Tabák A.G., Jokela M., Akbaraly T.N., Brunner E.J. et al. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet. 2009;373(9682):2215–21. DOI: 10.1016/S0140-6736(09)60619-X

25. Ryu S., Chang Y.S., Kim D.I., Suh B.S. et al. What will be the proper criteria for impaired fasting glucose for Korean men? Based on medical screening data from a general hospital. J. Prev. Med. Public Health. 2005;38(2):203–7. (in Korean)


Review

For citations:


Mustafina S.V., Shcherbakova L.V., Alferova V.I., Mogilnaya V.A., Malyutina S.K., Rymar O.D. Glucose Levels Associated with the Occurrence of New Cases of Type 2 Diabetes Mellitus in Men and Women Aged 45–69 Years in Novosibirsk. Title. 2024;23(4):38-44. (In Russ.) https://doi.org/10.31550/1727-2378-2024-23-4-38-44

Views: 37


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1727-2378 (Print)
ISSN 2713-2994 (Online)