A mixed-methods investigation of the trajectories of patient-reported functional mobility in people with Parkinson's disease

Research output: ThesisDoctoral ThesisExternal prepared

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Abstract

Functional mobility in PD worsens as the disease progresses, leading to increased care needs and costs. This dissertation aimed to understand determinants of functional mobility, unexpectedly stable trajectories, and the experiences of men and women with Parkinson’s disease. The research employed a mixed-methods approach, combining quantitative analyses of longitudinal data with qualitative interviews.
Key findings and methodological aspects include:
- Validation of the Functional Mobility Composite Score (FMCS) for assessing patient-reported functional mobility.
- Identification of environmental factors as important determinants of functional mobility.
- Observation of slower symptoms progression in women compared to men.
- Investigation of genetic variants and their association with functional mobility.
- Exploration of factors associated with unexpectedly stable trajectories of functional mobility.
The findings contribute to a better understanding of functional mobility in PD and may inform strategies to delay institutionalization and improve patients' quality of life. Thus, this work is relevant for healthcare professionals, researchers, and policymakers involved in PD management, as it provides insights into factors associated with functional mobility and potential interventions to maintain the independence and well-being in men and women with Parkinson’s disease.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Maastricht University
  • Université of Luxembourg
Supervisors/Advisors
  • Krüger, R., Supervisor, External person
  • Zeegers, Maurice, Supervisor
  • Leist, A.K., Co-Supervisor, External person
  • McCrum, Chris, Co-Supervisor
Award date13 Jan 2025
Place of PublicationMaastricht
Publisher
Print ISBNs9789464962826
DOIs
Publication statusPublished - 13 Jan 2025

Keywords

  • Mobility
  • Parkinson
  • Interviews
  • Statistics

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