Clinical and social aspects of the quality of life in patients with Parkinson’s disease

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Parkinson’s disease (PD) is an age-related neurodegenerative disease associated with the loss of dopamine-producing neurons in the substantia nigra. The disease is manifested by motor disorders and a variety of non-motor symptoms (NMS). NMS may reduce the quality of life (QoL) of people with Parkinson’s disease (PD) more than motor manifestations, but their ultimate contribution has not been fully established.

AIM. To determine the impact of motor, cognitive and affective disorders and social factors on the quality of life of patients with PD in the Republic of Sakha (Yakutia).

MATERIAL AND METHODS. The study included 35 patients with PD, Hoehn–Yahr stage 1–3 (60% women and 40% men), mean age 64.4±2.0 years. We used scales: UPDRS, MoCA, HADS, NMSQuest, Epward Sleepiness Scale, PDQ39. The analysis of clinical signs and social factors in the studied group of patients was carried out.

RESULTS. The decrease in QoL was moderately associated with disease stage (r=0.56, p=0.009), the severity of motor manifestations (r=0.65, p <0.001) and the total number of NMS (r=0.46, p=0.008). Age and disease duration did not affect on QoL. The decrease in QoL was influenced by the presence of depression (r=0.83, p <0.001), anxiety (r=0.69, p <0.001) and cognitive decline (r=–0.46, p=0.008). Low levels of QoL were found in individual PD patients and in people with disabilities. QoL was not influenced by ethnicity, gender, employment or education. Three groups of patients with PD were identified: those with mild, moderate and severe decrease in QoL. Their clinical and social portraits are presented.

CONCLUSION. The dependence of the quality of life of patients with PD on the form of the disease, the stage of the disease, the severity of depression, social factors has been demonstrated, which requires attention not only from neurologists, but also from psychotherapists and social workers.

Full Text

Restricted Access

About the authors

Liliya I. Kopylova

M.K. Ammosov North-Eastern Federal University

Author for correspondence.
Email: kopylovalily@mail.ru
ORCID iD: 0000-0003-3570-3403
SPIN-code: 1498-8657

Postgraduate Student, Assistant, Depart. of neurology and psychiatry

Russian Federation, Yakutsk

Alexey A. Tappakhov

M.K. Ammosov North-Eastern Federal University; Yakutsk Scientific Center for Complex Medical Problems

Email: tappakhov@gmail.com
ORCID iD: 0000-0002-4159-500X
SPIN-code: 2062-1540

Sci. (Med.), Assoc. Prof, Depart. of neurology and psychiatry

Russian Federation, Yakutsk; Yakutsk

Tatiana Ya. Nikolaeva

M.K. Ammosov North-Eastern Federal University

Email: tyanic@mail.ru
ORCID iD: 0000-0002-4201-8570
SPIN-code: 6180-7862

D. Sci. (Med.), Head of Depart., Depart. of Neurology and Psychiatry

Russian Federation, Yakutsk

Tatiana E. Popova

Yakutsk Scientific Center for Complex Medical Problems

Email: tata2504@yandex.ru
ORCID iD: 0000-0003-1062-1540
SPIN-code: 8755-9035

D. Sci. (Med.), Deputy director for Science

Russian Federation, Yakutsk

References

  1. Nodel MR. The impact of neuropsychiatric disorders on the quality of life of patients with Parkinson’s disease. Nevrologicheskij zhurnal. 2015;20(1):20–27. (In Russ.)
  2. Illarioshkin SN. Modern ideas about the etiology of Parkinson’s disease. Nevrologicheskij zhurnal. 2015;20(4):4–13. (In Russ.)
  3. Braak H, Rüb U, Gai WP, Del Tredici K. Idiopathic Parkinson’s disease: Possible routes by which vulnerable neuronal types may be subject to neuroinvasion by an unknown pathogen. J Neural Transm. 2003;110(5):517–536. doi: 10.1007/s00702-002-0808-2.
  4. Zalyalova ZA, Khasanova DM. Evolution of predictors of early Parkinson’s disease. Bulletin of the National Society for the Study of Parkinson’s Disease and Movement Disorders. 2022;(2):72–75. doi: 10.24412/2226-079X-2022-12438. (In Russ.)
  5. Liu WM, Lin RJ, Yu RL et al. The impact of nonmotor symptoms on quality of life in patients with Parkinson’s disease in Taiwan. Neuropsychiatr Dis Treat. 2015;11:2865–2873. doi: 10.2147/NDT.S88968.
  6. Nodel MR. Strategy and tactics of therapy of early stages of Parkinson’s disease. Nevrologicheskij zhurnal. 2016;21(3):173–181. (In Russ.)
  7. Assogna F, Pellicano C, Savini C et al. Drug Choices and advancements for managing depression in Parkinson’s disease. Curr Neuropharmacol. 2019;18(4):277–287. doi: 10.2174/1570159x17666191016094857.
  8. Marsh L. Depression and Parkinson’s disease: Current know-ledge. Curr Neurol Neurosci Rep. 2013;13(12):409. doi: 10.1007/s11910-013-0409-5.
  9. Nodel MR Depression in Parkinson’s disease. Medicinskij sovet. 2013;4:36–41. (In Russ.)
  10. Remy P, Doder M, Lees A et al. Depression in Parkinson’s disease: Loss of dopamine and noradrenaline innervation in the limbic system. Brain. 2005;128(6):1314–1322. doi: 10.1093/brain/awh445.
  11. Ray S, Agarwal P. Depression and anxiety in Parkinson disease. Clin Geriatr Med Elsevier Inc. 2020;36(1):93–104. doi: 10.1016/j.cger.2019.09.012.
  12. Su W, Liu H, Jiang Y et al. Correlation between depression and quality of life in patients with Parkinson’s disease. Clin Neurol Neurosurg Elsevier BV. 2021;202(5):106523. doi: 10.1016/j.clineuro.2021.106523.
  13. Wu PL, Lee M, Huang TT. Effectiveness of physical activity on patients with depression and Parkinson’s disease: A syste-matic review. PLoS One. 2017;12(7):1–14. doi: 10.1371/journal.pone.0181515.
  14. Ferreira RM, Alves WMG da C, Lima TA et al. The effect of resistance training on the anxiety symptoms and quality of life in elderly people with parkinson’s disease: A randomized controlled trial. Arq Neuropsiquiatr. 2018;76(8):499–506. doi: 10.1590/0004-282x20180071.
  15. Levin OS, Artemyev DV, Bril EV, Kulua TK. Parkinson’s disease: modern approaches to diagnosis and treatment. Prakticheskaya medicina. 2017;1(102):45–51 (In Russ.)
  16. Baiano C, Barone P, Trojano L, Santangelo G. Prevalence and clinical aspects of mild cognitive impairment in Parkinson’s disease: A meta-analysis. Mov Disord. 2020;35(1):45–54. doi: 10.1002/mds.27902.
  17. Emre M, Aarsland D, Brown R et al. Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Mov Disord. 2007;22(12):1689–1707. doi: 10.1002/mds.21507.
  18. Rosselli M, Uribe IV, Ahne E, Shihadeh L. Culture, ethnicity, and level of education in Alzheimer’s disease. Neurotherapeutics. Springer International Publishing. 2022;19(1):26–54. doi: 10.1007/s13311-022-01193-z.
  19. Shi J, Tian J, Fan Y et al. Intelligence, education level, and risk of Parkinson’s disease in European populations: A Mendelian randomization study. Front. Genet. 2022;13(11):1–8. doi: 10.3389/fgene.2022.963163.
  20. Ying L, Zhao J, Ye Y et al. Regulation of Cdc42 signaling by the dopamine D2 receptor in a mouse model of Parkinson’s disease. Aging Cell. 2022;21(5):1–16. doi: 10.1111/acel.13588.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2023 Eco-Vector



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС 77 - 75562 от 12 апреля 2019 года.


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies