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Comparisons Between GPS-based and Self-reported Life-space Mobility in Older Adults
Chen Bai1, Ruben Zapata1, Yashaswi Karnati1
1University of Florida, Gainesville, Florida, USA.
Objective life-space mobility (LSM) assessment using smartwatches showed poor correlation with self-reports. GPS data and self-reported mobility capture different aspects of movement patterns in older adults.
Area of Science:
- Gerontology
- Mobility Studies
- Wearable Technology
Background:
- Life-space mobility (LSM) is crucial for older adults' well-being.
- Traditional assessments rely on self-report, which can be subjective.
- Advancements in wearable GPS sensors offer potential for objective LSM measurement.
Purpose of the Study:
- To compare self-reported LSM with GPS-derived LSM in older adults.
- To evaluate the utility of smartwatch-based GPS for assessing mobility patterns.
- To determine if GPS-based and self-reported LSM capture similar dimensions of mobility.
Main Methods:
- 27 participants (aged 65+) wore a smartwatch for 1-2 weeks.
- GPS data was collected at two locations (Connecticut and Florida).
- GPS-derived features (e.g., excursion size) were compared to self-reported LSM, with and without an 'assistance needed' indicator.
Main Results:
- Positive correlations were observed between self-reported and GPS-based LSM, but none were statistically significant.
- Inclusion of an 'assistance needed' indicator slightly improved correlations.
- Statistical significance was achieved only for excursion size (r=0.40, P=0.04).
Conclusions:
- Self-reported and GPS-based LSM assessments capture distinct dimensions of mobility.
- Smartwatch-based GPS may not fully replace self-reported measures for capturing overall life-space mobility.
- Further research is needed to integrate objective and subjective mobility data.
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