Comparing GPS-Based Community Mobility Measures with Self-report Assessments in Older Adults with Parkinson’s Disease

Author:

Zhu Lynn123ORCID,Duval Christian34,Boissy Patrick35,Montero-Odasso Manuel167ORCID,Zou Guangyong18,Jog Mandar3910,Speechley Mark13ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada

2. Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada

3. Ecological Mobility in Aging and Parkinson (EMAP) Research Group, Montréal, Québec, Canada

4. Département des sciences de l’activité physique, Université du Québec à Montréal, Montréal, Québec, Canada

5. Department of Surgery, Orthopaedics Division, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada

6. Gait and Brain Lab, Parkwood Institute, London Health Sciences Centre, London, Ontario, Canada

7. Division of Geriatric Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada

8. Robarts Research Institute, Western University, London, Ontario, Canada

9. Parkinson’s Foundation Center of Excellence, London Movement Disorders Centre, London Health Sciences Centre, Ontario, Canada

10. Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada

Abstract

Abstract Background Real-life community mobility (CM) measures for older adults, especially those with Parkinson’s disease (PD), are important tools when helping individuals maintain optimal function and quality of life. This is one of the first studies to compare an objective global positioning system (GPS) sensor and subjective self-report CM measures in an older clinical population. Methods Over 14 days, 54 people in Ontario, Canada with early to mid-stage PD (mean age = 67.5 ± 6.3 years; 47 men; 46 retired) wore a wireless inertial measurement unit with GPS (WIMU-GPS), and completed the Life Space Assessment and mobility diaries. We assessed the convergent validity, reliability and agreement on mobility outcomes using Spearman’s correlation, intraclass correlation coefficient, and Bland-Altman analyses, respectively. Results Convergent validity was attained by the WIMU-GPS for trip frequency (rs = .69, 95% confidence interval [CI] = 0.52–0.81) and duration outside (rs = .43, 95% CI = 0.18–0.62), but not for life space size (rs = .39, 95% CI = 0.14–0.60). The Life Space Assessment exhibited floor and ceiling effects. Moderate agreements were observed between WIMU-GPS and diary for trip frequency and duration (intraclass correlation coefficients = 0.71, 95% CI = 0.51–0.82; 0.67, 95% CI = 0.42–0.82, respectively). Disagreement was more common among nonretired individuals. Conclusions WIMU-GPS could replace diaries for trip frequency and duration assessments in older adults with PD. Both assessments are best used for retired persons. However, the Life Space Assessment may not reflect actual mobility.

Funder

Canadian Institutes of Health Research

Parkwood Hospital

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Ageing

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