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Updated: Apr 21, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Income, employment, and clinical outcomes in Parkinson's disease
Melissa N Pacheco1, Carmen Uribe1, Jaeden Brown1
1Department of Psychology, California State University San Bernardino, San Bernardino, CA, USA.
Introduction:
Socioeconomic factors such as employment status and household income may influence clinical outcomes in Parkinson's disease, yet their associations with both motor and non-motor symptoms are not well characterized. This study examined whether employment status and income are associated with cognitive complaints, depressive symptoms, health-related quality of life, and motor severity among individuals with Parkinson's disease.
Methods:
Data were obtained from FoxInsight, and online longitudinal cohort study. Participants aged 40 years and older with Parkinson's disease who completed self-report questionnaires were included (n = 29,826). Multilevel models examined associations between employment status and household income with cognitive complaints, depressive symptoms, health-related quality of life, and motor severity across up to three annual assessments.
Results:
Employment status was significantly associated with all outcomes. Compared with full-time employment, unemployment and retirement were associated with more cognitive complaints, greater depressive symptoms, poorer health-related quality of life, and greater motor severity (all p < 0.05). Part-time employment was generally associated with fewer depressive symptoms and did not significantly differ from full-time employment on several outcomes. Lower household income was significantly associated with greater depressive symptoms, poorer health-related quality of life, and greater motor severity (all p < 0.05), but was not associated with cognitive complaints.
Conclusion:
Employment status and household income are important social determinants of both motor and non-motor outcomes in Parkinson's disease. These findings highlight the potential clinical relevance of socioeconomic factors shaping disease experience and emphasize the need for interventions that address economic and occupational vulnerability.
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