Correlation between the characteristics of the spheres of vitality and the gerontological profile in elderly patients

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Abstract

ВACKGROUND: The study is devoted to the study of the relationship between resilience and gerontological status of elderly women to determine the prognostic factors of successful aging. Resilience includes engagement, control, and risk-taking. Gerontological status encompasses physical, psychological, and social well-being.

АIM: Analysis of the examination results of 70-year-old patients, taking into account the domain structure and concomitant diseases.

MATERIALS AND METHODS: The study was conducted in the departments of medical prevention from January 2017 to December 2024, the clinical base of the Burdenko VSMU. The parameters of somatic status, locomotor, sensory, cognitive, psychological and nutritional spheres were analyzed. The following methods were used: Cardiovisor, echocardiography, HRV analysis, determination of NLR, PLR, glycated hemoglobin, CRP, omega-3, FRAIL, Katz, MNA scales, dynamometry, bioimpedance, ophthalmological examination, MMSE, Beck and SHAS scales. The data was processed using Startech 4.8.0.

RESULTS: The high prevalence of risk factors such as lack of physical activity (62%), hypertension (64%) and chronic heart failure (66%), combined with alarming indicators of presarcopenia (30%) and sarcopenia (26%), indicate a complex impact on the health and functionality of the subjects. The high average systolic blood pressure (175.00 mmHg), the prevalence of obesity (BMI 37.10 kg/m2) and hyperglycemia (glucose 10.60 mmol/L) underline the urgent need to develop and implement comprehensive prevention and treatment strategies.

CONCLUSION: The evaluation of the presented results makes it possible to establish priority areas for the creation of individualized prevention and treatment plans aimed at reducing the likelihood of developing cardiovascular complications, maintaining mental abilities and improving the overall well-being of the studied group.

About the authors

Irina V. Kochetkova

Voronezh State Medical University named after N.N. Burdenko

Author for correspondence.
Email: iri4217@yandex.ru
ORCID iD: 0000-0002-7546-6679
SPIN-code: 9933-5015

MD, Cand. Sci. (Medicine), Associate Professor

Russian Federation, 10 Studentskaya st, Voronezh, 394036

References

  1. Ordin GV, Salmasi JM, Mishnev OD, et al. Pathophysiology (general and clinical pathophysiology): Textbook for students of institutions of higher medical education in 2 volumes. Moscow: Medical Information Agency; 2022. 646 p. (In Russ.). EDN: XHSZPT
  2. Baxi M, Di Biase MA, Lyall AE, et al. Quantifying genetic and environmental influence on gray matter microstructure using diffusion MRI. Cereb Cortex. 2020;30(12):6191–6205. doi: 10.1093/cercor/bhaa174
  3. Cooper OAE, Taylor DJ, Crabb DP, et al. Psychological, social and everyday visual impact of diabetic macular oedema and diabetic retinopathy: a systematic review. Diabet Med. 2020;37(6):924–33. doi: 10.1111/dme.14125
  4. Kumar A, Gangwar R, Zargar AA, Kumar R, Sharma A. Prevalence of diabetes in India: a review of IDF Diabetes Atlas 10th edition. Curr Diabetes Rev. 2024;20(1):e130423215752. doi: 10.2174/1573399819666230413094200
  5. Lin K-Y, Hsih W-H, Lin Y-B, Wen C-Y, Chang T-J. Update in the epidemiology, risk factors, screening, and treatment of diabetic retinopathy. J Diabetes Investig. 2021;12:1322–1325. doi: 10.1111/jdi.13480
  6. Lovic D, Piperidou A, Zografou I, et al. The Growing Epidemic of Diabetes Mellitus. Curr Vasc Pharmacol. 2020;18:104–109. doi: 10.2174/1570161117666190405165911
  7. Saeedi P, Petersohn I, Salpea P, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9(th) edition. Diabetes Res Clin Pract. 2019;157:107843. doi: 10.1016/j.diabres.2019.107843
  8. Taipale J, Mikhailova A, Ojamo M, et al. Low vision status and declining vision decrease Health-Related Quality of Life: Results from a nationwide 11-year follow-up study. Qual Life Res. 2019;28:3225–3236. doi: 10.1007/s11136-019-02260-3
  9. Riddle MC, Herman WH. The Cost of Diabetes Care — An Elephant in the Room. Diabetes Care. 2018;41:929–932. doi: 10.2337/dci18-0012
  10. Ilnitski A, Belousov N, Osipova O, Fesenko E. Researches in gerontology and geriatrics in the decade of healthy aging (2021–2030). Vrach. 2021;32(6):5–8. doi: 10.29296/25877305-2021-06-01 EDN: IBCNLE
  11. Kochetkova IV, Trofimova TG, Savelyeva GO, et al. The ratio of neutrophils to lymphocytes as a tool for assessing the risk of cardiac complications in elderly patients with type 2 diabetes mellitus. Vrach. 2024;(12):86–89. (In Russ.). doi: 10.29296/25877305-2024-12-16
  12. Zatsepina IV, Kochetkova IV, Fursova EA, Petrova TN. Smoking prevalence among students of medical university. Russian Journal of Preventive Medicine. 2024;27(6):29–35. doi: 10.17116/profmed20242706129 EDN: WYMQSQ
  13. Bykovskiy AS, Zolotykh AE, Kochetkova IV, Fursova EA, Petrova TN. The study of awareness of risk factors for the development of chronic noncommunicable diseases. Youth Innovation Bulletin. 2024;13(S1):399–402. EDN: EVQVDD
  14. Kochetkova IV, Fursova EA, Kravtsova AV. Use of effective professional standards for the prevention of circulatory system diseases to reduce cardiovascular risk. System analysis and management in biomedical systems. 2023;22(2):154–162. doi: 10.36622/VSTU.2023.22.2.022 EDN: VUCNRR
  15. Kochetkova IV, Fursova EA, Zolotareva YuA. General analysis of the results of sociological studies on the prevalence of risk factors for the development of chronic non-infectious diseases in students of the Voronezh state medical university named after N.N. Burdenko for the academic year (September 2022 — May 2023). Preventive and clinical medicine. 2023;(4):80–85. doi: 10.47843/2074-9120_2023__4_80 EDN: MYMJFL

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