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Published in: BMC Geriatrics 1/2022

Open Access 01-12-2022 | Mood Disorders | Research

Exploring factors that influence HRQoL for people living with Parkinson’s in one region of Ireland: A cross-sectional study

Authors: Irene Cassidy, Owen Doody, Pauline Meskell

Published in: BMC Geriatrics | Issue 1/2022

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Abstract

Background

The diversity of symptoms associated with Parkinson’s and their impact on functioning have led to an increased interest in exploring factors that impact Health-Related Quality of Life (HRQoL). Although the experience of Parkinson’s is unique, some symptoms have a greater impact than others, e.g. depression. Moreover, as the risk of Parkinson’s increases with age, the financial and public health impact of this condition is likely to increase, particularly within the context of a globally ageing population. In Ireland, research is ongoing in the pursuit of causes and effective treatments for Parkinson’s; however, its impact on everyday living, functioning, and HRQoL is largely under-examined. This study aims to describe factors that influence HRQoL for people with Parkinson’s (PwP) in one region of Ireland.

Methods

A cross-sectional postal survey was conducted among people living with Parkinson’s (n = 208) in one area of Ireland. This survey included socio-demographic questions, Nonmotor Symptoms Questionnaire for Parkinson’s disease (NMSQuest), the Geriatric Depression Scale (GDS-15), and the Parkinson’s disease Questionnaire (PDQ-39). Statistical analysis was conducted using SPSS, IBM version 25 (SPSS Inc., Chicago, II, USA).

Results

Participants reflected a predominantly older population who were married, and lived in their own homes (91%). Participants diagnosed the longest reported poorer HRQoL regarding mobility, activities of daily living, emotional well-being, social support, cognition, communication domains and overall HRQoL. Lower HRQoL correlated with higher depression scores p < 0.001 and participants in the lower HRQoL cohort experienced 2.25 times more non-motor symptoms (NMSs) than participants with higher HRQoL. Hierarchical multiple linear regression analysis predicted Geriatric Depression Scale (GDS15) score, NMS burden, and years since diagnosis to negatively impact HRQoL. Principal component analysis (PCA) also indicated that for the population in this study, components measuring 1) independence/dependence 2) stigma 3) emotional well-being, and 4) pain were central to explaining core aspects of participants’ HRQoL.

Conclusions

Findings highlighted the negative impact of longer disease duration, NMS burden, depression, mobility impairments, and perceived dependence on HRQoL for PwP. The positive influence of perceived independence, social engagement along with close supportive relationships were also identified as key components determining HRQoL. Findings emphasised the importance of long-term healthcare commitment to sustaining social and community supports and therapeutic, rehabilitative initiatives to augment HRQoL for PwP.
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Literature
2.
go back to reference DeMaagd G, Philip A. Parkinson’s disease and its management: part 1: disease entity, risk factors, pathophysiology, clinical presentation, and diagnosis. Pharm Ther. 2015;40(8):504 available: PMCID:PMC4517533. DeMaagd G, Philip A. Parkinson’s disease and its management: part 1: disease entity, risk factors, pathophysiology, clinical presentation, and diagnosis. Pharm Ther. 2015;40(8):504 available: PMCID:PMC4517533.
4.
go back to reference Dorsey ER, Elbaz A, Nichols E, Abd-Allah F, Abdelalim A, Adsuar JC, et al. Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018;17(11):939–53. https://doi.org/10.1002/mds.26744.CrossRef Dorsey ER, Elbaz A, Nichols E, Abd-Allah F, Abdelalim A, Adsuar JC, et al. Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018;17(11):939–53. https://​doi.​org/​10.​1002/​mds.​26744.CrossRef
8.
go back to reference Williams-Gray C, Worth P. Parkinson’s disease. Medicine. 2016;44(9):542–6.CrossRef Williams-Gray C, Worth P. Parkinson’s disease. Medicine. 2016;44(9):542–6.CrossRef
18.
go back to reference Mantri S, Morley JF. Prodromal and early Parkinson’s disease diagnosis. Pract Neurol. 2018;35:28–31. Mantri S, Morley JF. Prodromal and early Parkinson’s disease diagnosis. Pract Neurol. 2018;35:28–31.
21.
go back to reference Department of Health. Slaintecare actionplan 2019. Dublin: Department of Health; 2019. p. 57. Department of Health. Slaintecare actionplan 2019. Dublin: Department of Health; 2019. p. 57.
25.
go back to reference Revicki DA, Kleinman L, Cella D. A history of health-related quality of life outcomes in psychiatry. Dialogues Clin Neurosci. 2014;16(2):127.CrossRef Revicki DA, Kleinman L, Cella D. A history of health-related quality of life outcomes in psychiatry. Dialogues Clin Neurosci. 2014;16(2):127.CrossRef
26.
go back to reference Sajid MS, Tonsi A, Baig MK. Health-related quality of life measurement. International journal of health care quality assurance; 2008. p. 365. Sajid MS, Tonsi A, Baig MK. Health-related quality of life measurement. International journal of health care quality assurance; 2008. p. 365.
36.
37.
go back to reference Greenberg SA. The geriatric depression scale (GDS). Best Pract Nurs Care Older Adults. 2012;4(1):1–2. Greenberg SA. The geriatric depression scale (GDS). Best Pract Nurs Care Older Adults. 2012;4(1):1–2.
39.
go back to reference Peto V, Jenkinson C, Fitzpatrick R, Greenhall R. The development and validation of a short measure of functioning and wellbeing for individuals with Parkinson's disease. Qual Life Res. 1995;4(3):241–8.CrossRef Peto V, Jenkinson C, Fitzpatrick R, Greenhall R. The development and validation of a short measure of functioning and wellbeing for individuals with Parkinson's disease. Qual Life Res. 1995;4(3):241–8.CrossRef
41.
go back to reference Polit D, Beck C. Essentials of nursing research. Appraising evidence for nursing practice. 9th ed. Philadelphia: Wolters Kluwer; 2018. Polit D, Beck C. Essentials of nursing research. Appraising evidence for nursing practice. 9th ed. Philadelphia: Wolters Kluwer; 2018.
42.
go back to reference Pallant J. SPSS survival manual: a step-by-step guide to data analysis using IBM SPSS. 7th ed. London: Open University Press; 2020.CrossRef Pallant J. SPSS survival manual: a step-by-step guide to data analysis using IBM SPSS. 7th ed. London: Open University Press; 2020.CrossRef
51.
go back to reference Santos-García DS, de Deus FT, Castro ES, Borrue C, Mata M, Vila BS, et al. Non-motor symptoms burden, mood, and gait problems are the most significant factors contributing to a poor quality of life in non-demented Parkinson's disease patients: results from the COPPADIS study cohort. Parkinsonism Relat Disord. 2019;66:151–7. https://doi.org/10.1016/j.parkreldis.2019.07.031.CrossRef Santos-García DS, de Deus FT, Castro ES, Borrue C, Mata M, Vila BS, et al. Non-motor symptoms burden, mood, and gait problems are the most significant factors contributing to a poor quality of life in non-demented Parkinson's disease patients: results from the COPPADIS study cohort. Parkinsonism Relat Disord. 2019;66:151–7. https://​doi.​org/​10.​1016/​j.​parkreldis.​2019.​07.​031.CrossRef
53.
go back to reference Vanderheyden JE, Gonce M, Bourgeois P, Cras P, De Nayer AR, Flamez A, et al. Epidemiology of major depression in Belgian parkinsonian patients. Acta Neurol Belg. 2010 Jun 1;110(2):148. Vanderheyden JE, Gonce M, Bourgeois P, Cras P, De Nayer AR, Flamez A, et al. Epidemiology of major depression in Belgian parkinsonian patients. Acta Neurol Belg. 2010 Jun 1;110(2):148.
62.
go back to reference Roessler RT. The illness intrusiveness model: rehabilitation implications. J Appl Rehabil Couns. 2004 Sep 1;35(3):22–7. Roessler RT. The illness intrusiveness model: rehabilitation implications. J Appl Rehabil Couns. 2004 Sep 1;35(3):22–7.
75.
go back to reference Udo DS. Active ageing: a concept analysis. Caribbean J Nurs. 2016;3(1):59–79. Udo DS. Active ageing: a concept analysis. Caribbean J Nurs. 2016;3(1):59–79.
Metadata
Title
Exploring factors that influence HRQoL for people living with Parkinson’s in one region of Ireland: A cross-sectional study
Authors
Irene Cassidy
Owen Doody
Pauline Meskell
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2022
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-022-03612-4

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