The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project

The aim of this study is to investigate the 14-year risk of type 2 diabetes mellitus (T2DM) and develop a risk score for T2DM in the Siberian cohort. A random population sample (males/females, 45–69 years old) was examined at baseline in 2003–2005 (Health, Alcohol, and Psychosocial Factors in Easter...

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Main Authors: Svetlana V. Mustafina, Oksana D. Rymar, Liliya V. Shcherbakova, Evgeniy G. Verevkin, Hynek Pikhart, Olga V. Sazonova, Yuliya I. Ragino, Galina I. Simonova, Martin Bobak, Sofia K. Malyutina, Mikhail I. Voevoda
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/11/2/119
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spelling doaj-c4d7abd9572c4b7e987f4daeafc778cb2021-02-12T00:02:53ZengMDPI AGJournal of Personalized Medicine2075-44262021-02-011111911910.3390/jpm11020119The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE ProjectSvetlana V. Mustafina0Oksana D. Rymar1Liliya V. Shcherbakova2Evgeniy G. Verevkin3Hynek Pikhart4Olga V. Sazonova5Yuliya I. Ragino6Galina I. Simonova7Martin Bobak8Sofia K. Malyutina9Mikhail I. Voevoda10Institute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Epidemiology and Health Care, University College London, Gower Street, London WC1E6BT, UKNovosibirsk State Medical University, 630091 Novosibirsk, RussiaInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Epidemiology and Health Care, University College London, Gower Street, London WC1E6BT, UKInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaInstitute of Internal and Preventive Medicine–Branch of Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 630089 Novosibirsk, RussiaThe aim of this study is to investigate the 14-year risk of type 2 diabetes mellitus (T2DM) and develop a risk score for T2DM in the Siberian cohort. A random population sample (males/females, 45–69 years old) was examined at baseline in 2003–2005 (Health, Alcohol, and Psychosocial Factors in Eastern Europe (HAPIEE) project, <i>n</i> = 9360, Novosibirsk) and re-examined in 2006–2008 and 2015–2017. After excluding those with baseline T2DM, the final analysis included 7739 participants. The risk of incident T2DM during a 14-year follow-up was analysed using Cox regression. In age-adjusted models, male and female hazard ratios (HR) of incident T2DM were 5.02 (95% CI 3.62; 6.96) and 5.13 (95% CI 3.56; 7.37) for BMI ≥ 25 kg/m<sup>2</sup>; 4.38 (3.37; 5.69) and 4.70 (0.27; 6.75) for abdominal obesity (AO); 3.31 (2.65; 4.14) and 3.61 (3.06; 4.27) for fasting hyperglycaemia (FHG); 2.34 (1.58; 3.49) and 3.27 (2.50; 4.26) for high triglyceride (TG); 2.25 (1.74; 2.91) and 2.82 (2.27; 3.49) for hypertension (HT); and 1.57 (1.14; 2.16) and 1.69 (1.38; 2.07) for family history of diabetes mellitus (DM). In addition, secondary education, low physical activity (PA), and history of cardiovascular disease (CVD) were also significantly associated with T2DM in females. A simple T2DM risk calculator was generated based on non-laboratory parameters. A scale with the best quality included waist circumference >95 cm, HT history, and family history of T2DM (area under the curve (AUC) = 0.71). The proposed 10-year risk score of T2DM represents a simple, non-invasive, and reliable tool for identifying individuals at a high risk of future T2DM.https://www.mdpi.com/2075-4426/11/2/119diabetes mellitusrisk factordiabetes risk scalediabetes risk model
collection DOAJ
language English
format Article
sources DOAJ
author Svetlana V. Mustafina
Oksana D. Rymar
Liliya V. Shcherbakova
Evgeniy G. Verevkin
Hynek Pikhart
Olga V. Sazonova
Yuliya I. Ragino
Galina I. Simonova
Martin Bobak
Sofia K. Malyutina
Mikhail I. Voevoda
spellingShingle Svetlana V. Mustafina
Oksana D. Rymar
Liliya V. Shcherbakova
Evgeniy G. Verevkin
Hynek Pikhart
Olga V. Sazonova
Yuliya I. Ragino
Galina I. Simonova
Martin Bobak
Sofia K. Malyutina
Mikhail I. Voevoda
The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project
Journal of Personalized Medicine
diabetes mellitus
risk factor
diabetes risk scale
diabetes risk model
author_facet Svetlana V. Mustafina
Oksana D. Rymar
Liliya V. Shcherbakova
Evgeniy G. Verevkin
Hynek Pikhart
Olga V. Sazonova
Yuliya I. Ragino
Galina I. Simonova
Martin Bobak
Sofia K. Malyutina
Mikhail I. Voevoda
author_sort Svetlana V. Mustafina
title The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project
title_short The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project
title_full The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project
title_fullStr The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project
title_full_unstemmed The Risk of Type 2 Diabetes Mellitus in a Russian Population Cohort According to Data from the HAPIEE Project
title_sort risk of type 2 diabetes mellitus in a russian population cohort according to data from the hapiee project
publisher MDPI AG
series Journal of Personalized Medicine
issn 2075-4426
publishDate 2021-02-01
description The aim of this study is to investigate the 14-year risk of type 2 diabetes mellitus (T2DM) and develop a risk score for T2DM in the Siberian cohort. A random population sample (males/females, 45–69 years old) was examined at baseline in 2003–2005 (Health, Alcohol, and Psychosocial Factors in Eastern Europe (HAPIEE) project, <i>n</i> = 9360, Novosibirsk) and re-examined in 2006–2008 and 2015–2017. After excluding those with baseline T2DM, the final analysis included 7739 participants. The risk of incident T2DM during a 14-year follow-up was analysed using Cox regression. In age-adjusted models, male and female hazard ratios (HR) of incident T2DM were 5.02 (95% CI 3.62; 6.96) and 5.13 (95% CI 3.56; 7.37) for BMI ≥ 25 kg/m<sup>2</sup>; 4.38 (3.37; 5.69) and 4.70 (0.27; 6.75) for abdominal obesity (AO); 3.31 (2.65; 4.14) and 3.61 (3.06; 4.27) for fasting hyperglycaemia (FHG); 2.34 (1.58; 3.49) and 3.27 (2.50; 4.26) for high triglyceride (TG); 2.25 (1.74; 2.91) and 2.82 (2.27; 3.49) for hypertension (HT); and 1.57 (1.14; 2.16) and 1.69 (1.38; 2.07) for family history of diabetes mellitus (DM). In addition, secondary education, low physical activity (PA), and history of cardiovascular disease (CVD) were also significantly associated with T2DM in females. A simple T2DM risk calculator was generated based on non-laboratory parameters. A scale with the best quality included waist circumference >95 cm, HT history, and family history of T2DM (area under the curve (AUC) = 0.71). The proposed 10-year risk score of T2DM represents a simple, non-invasive, and reliable tool for identifying individuals at a high risk of future T2DM.
topic diabetes mellitus
risk factor
diabetes risk scale
diabetes risk model
url https://www.mdpi.com/2075-4426/11/2/119
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