The prevalence of frailty syndrome in Mongolia
- Authors: Sengee E.1, Gorelik S.G.1, Rubinsky A.V.2,3, Silyutina M.V.4, Milyutina E.V.1
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Affiliations:
- Belgorod State National Research University
- I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia
- Saint Petersburg Institute of Bioregulation and Gerontology
- N.N. Burdenko Voronezh State Medical University, Ministry of Health of Russia
- Issue: Vol 33, No 6 (2022)
- Pages: 80-82
- Section: From Practice
- URL: https://journals.eco-vector.com/0236-3054/article/view/114642
- DOI: https://doi.org/10.29296/25877305-2022-06-15
- ID: 114642
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Abstract
The paper considers the prevalence of frailty syndrome (FS) among older people in Mongolia, the residents of urban and rural areas. The study involved 1,610 patients. FS was detected in 22.1% of elderly patients. The prevalence of FS increases with age: 6.5% in 55-64-year-old women and 60-64-year-old men and 94.0% in patients older than 85 years. At the same time, mild FS is significantly more common in the first age group (55-64-year-old women and 60-64-year-old men), moderate and severe FS was seen in the 75-84-year-old group. There was no significant difference in the severity of FS in the group of people over 85 years of age,
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About the authors
E. Sengee
Belgorod State National Research University
Email: sggorelik@mail.ru
S. G. Gorelik
Belgorod State National Research University
Author for correspondence.
Email: sggorelik@mail.ru
Associate Professor
A. V. Rubinsky
I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia; Saint Petersburg Institute of Bioregulation and Gerontology
Email: sggorelik@mail.ru
Associate Professor
M. V. Silyutina
N.N. Burdenko Voronezh State Medical University, Ministry of Health of Russia
Email: sggorelik@mail.ru
Candidate of Medical Sciences
E. V. Milyutina
Belgorod State National Research University
Email: sggorelik@mail.ru
References
- Горелик С.Г., Ильницкий А.Н., Прощаев К.И. и др. Программа для ЭВМ по оптимизации ухода в гериатрии в зависимости от степени старческой астении на основе представления результатов специализированного гериатрического осмотра. Свидетельство государственной регистрации программы для ЭВМ № 2013660311. Заявка №2013617902.
- Гублер Е.В. Вычислительные методы анализа и распознавания патологических процессов последствий. Ленинград: Медицина, 1978; 294 с.
- Dulmaa T., Erdenechimeg B. What is frailty? J. Gerontol Geriatrics. 2017; 2 (2): 62-3.
- Population statistics news and understanding used. National Statistical Office of Mongolia. Ulaanbaatar, 2017.
- Woochong Um. Country Diagnostic study on long-term care in Mongolia [Internet]. 2020; 11: 1-102. Available from: https://www.adb.org/sites/default/files/publication/650836/mongolia-country-diagnostic-study-longterm-care.pdf
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