Prognostic assessment of risk factors for type 2 diabetes mellitus in young military personnel

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Abstract

Risk factors for the development of type 2 diabetes mellitus were assessed in 212 military personnel aged 20–45 years serving under a contract, of which 95 people (an experienced group with risk factors) and 117 people without risk factors (an experienced group), as well as 60 practically healthy males who are not military personnel Ministry of Defense of the Russian Federation aged between 18 and 45 years (control group). It was revealed that the indicators with the greatest influence on the development of type 2 diabetes include older age, body mass index, waist circumference, insulin resistance index, and the results of the psychological questionnaire “Tendency to deviant behavior” on the scale of “Aggressiveness” as well as the questionnaire “Strong-willed self-control.” It was found, on 3-year follow-up, that prediabetes developed in 8 (8.4%) patients of the experimental group with risk factors for type 2 diabetes mellitus who did not have carbohydrate metabolism disorders, and in 8 (6.8%) patients of the experimental group. At the same time, type 2 diabetes mellitus occurred in 2 (2.5%) patients of the experimental group and in 2 (1.7%) military personnel of the experimental group with risk factors for type 2 diabetes but initially normal glycemic indices, as well as in 8 (8.4%) patients of the same group who had prediabetes at the beginning of the study. In addition, prediabetes was detected in 2 people of the control group after 3 years and type 2 diabetes mellitus in 1 person. According to the results of the study, a mathematical model is proposed to assess the likelihood of developing type 2 diabetes in military personnel with a waist circumference ≥94 cm. The proposed model has a sensitivity of 95% and a specificity of 91%. The prognostic value of a negative result is 89.2%, and that of a positive result is 87%. Thus, military personnel with a waist circumference of ≥94 cm are characterized by a more frequent development of new cases of prediabetes and type 2 diabetes mellitus than civilians, which is due to the stressful nature of military service. The use of the proposed mathematical model will make it possible to predict the development of carbohydrate metabolism disorders in military personnel with a waist circumference of ≥94 cm over a 3-year period with the identification of a risk group requiring the use of a set of preventive measures aimed at reducing body weight.

About the authors

Kirill V. Petrankov

Military Medical Academy of S.M. Kirov

Author for correspondence.
Email: petrankovk@yandex.ru
ORCID iD: 0000-0001-7244-4303
SPIN-code: 7775-3011

Graduate Student

Russian Federation, Saint Petersburg

Vladimir V. Salukhov

Military Medical Academy of S.M. Kirov

Email: vlasaluk@yandex.ru
ORCID iD: 0000-0003-1851-0941
SPIN-code: 4531-6011

Doctor of Medical Sciences

Russian Federation, Saint Petersburg

Maxim I. Pugachev

Military Medical Academy of S.M. Kirov

Email: kenig.max@mail.ru
SPIN-code: 1549-6552

Candidate of Medical Sciences

Russian Federation, Saint Petersburg

Larisa M. Dobrovolskaya

Military Medical Academy of S.M. Kirov

Email: larisadobrovoskaja@mail.ru
SPIN-code: 4291-4179

Candidate of Medical Sciences

Russian Federation, Saint Petersburg

Anna V. Alexandrova

Military Medical Academy of S.M. Kirov

Email: annasherrington1@gmail.com
ORCID iD: 0000-0001-8271-4186

Clinical Resident

Russian Federation, Saint Petersburg

Darya A. Shipilova

Military Medical Academy of S.M. Kirov

Email: dashuta_shipilova@mail.ru
SPIN-code: 5781-6153

Candidate of Medical Sciences

Russian Federation, Saint Petersburg

Pavel A. Livarsky

Military Medical Academy of S.M. Kirov

Email: livarsly.98@gmail.com
SPIN-code: 1080-4234

Cadet

Russian Federation, Saint Petersburg

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Supplementary files

Supplementary Files
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1. JATS XML
2. Figure. Study design. FR — risk factors; LDL — low-density lipoproteins; PGTT — oral glucose tolerance test; VSK — questionnaire "Volitional self-control"; OGTT — oral glucose tolerance test

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Copyright (c) 2022 Petrankov K.V., Salukhov V.V., Pugachev M.I., Dobrovolskaya L.M., Alexandrova A.V., Shipilova D.A., Livarsky P.A.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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