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03-06-2016 | Uitgave 12/2016

Quality of Life Research 12/2016

Stigma as a key determinant of health-related quality of life in Parkinson’s disease

Tijdschrift:
Quality of Life Research > Uitgave 12/2016
Auteurs:
Hui-Ing Ma, Marie Saint-Hilaire, Cathi A. Thomas, Linda Tickle-Degnen
Belangrijke opmerkingen

Electronic supplementary material

The online version of this article (doi:10.​1007/​s11136-016-1329-z) contains supplementary material, which is available to authorized users.

Abstract

Purpose

People with Parkinson’s disease (PD) may experience stigma due to their visible features of movement and communication difficulties. This paper aimed to examine the role of experienced stigma in health-related quality of life (QOL), after controlling for personal and clinical characteristics.

Methods

This is a preliminary analysis of a subset of baseline data from the Social Self-Management of Parkinson’s Disease Study (SocM-PD), an ongoing 3-year prospective cohort study. Seventy-three people with PD (Mage = 65.72, 29 women) participated in this study. Hierarchical multiple regression analyses were used to determine the role of stigma in QOL, after controlling for gender, disease severity, depression, and motor difficulties of daily living.

Results

Significant correlations were found between QOL with gender (r = .26), disease severity (r = .38), depression (r = .65), motor difficulties of daily living (r = .71), and stigma (r = .83). After controlling for the significant covariates, stigma made a significant and unique contribution to the explanation of QOL by 13.7 % (p < 0.001). A final hierarchical multiple regression with stigma and the 4 covariates revealed an overall model that explained 77.8 % of the total variance of QOL (F [5, 63] = 48.79, p < 0.001).

Conclusions

Experienced stigma appears to be a key determinant of QOL in people with PD. The results suggest the importance of further understanding stigma in PD to develop possible intervention strategies. Future work is also needed to verify the results with a larger and longitudinal dataset of the SocM-PD.

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Extra materiaal
Supplementary material 1 (DOCX 96 kb)
11136_2016_1329_MOESM1_ESM.docx
Supplementary material 2 (DOCX 90 kb)
11136_2016_1329_MOESM2_ESM.docx
Literatuur
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