Algorithm for detecting carbohydrate metabolic disorders in personnel officers

A. P Popov; Попов А. П; O. I Didenko; Диденко О. И; E. A Grabarnik; Грабарник Э. А; M. A Kruglova; Круглова М. А; E. G Sibagatova; Сибагатова Е. Г

doi:10.17816/RMMJ82400

Algorithm for detecting carbohydrate metabolic disorders in personnel officers

Authors: Popov A.P¹, Didenko O.I¹, Grabarnik E.A¹, Kruglova M.A¹, Sibagatova E.G¹
Affiliations:
1. 52nd consultative and diagnostic center MD RF
Issue: Vol 341, No 7 (2020)
Pages: 58-61
Section: Articles
URL: https://journals.eco-vector.com/0026-9050/article/view/82400
DOI: https://doi.org/10.17816/RMMJ82400
ID: 82400

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Abstract

To increase the efficiency of screening for carbohydrate metabolism among staff officers, a comprehensive survey of 2523 people aged 20 to 59 years was carried out, including a review using the Diabetes Risk Assessment Scale (FINDRISC). The expediency of studying the state of carbohydrate metabolism among officers under 40 years of age is substantiated.

Keywords

FINDRISC rating scale, type 2 diabetes mellitus, body mass index, impaired fasting glucose, impaired glucose tolerance, standard oral glucose tolerance test