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Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults

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  • Fillekes, Michelle Pasquale
  • Röcke, Christina
  • Katana, Marko
  • Weibel, Robert

Abstract

In light of novel opportunities to use sensor data to observe individuals' day-to-day mobility in the context of healthy aging research, it is important to understand how meaningful mobility indicators can be extracted from such data and to which degree these sensor-derived indicators are comparable to corresponding self-reports. We used sensor (GPS and accelerometer) and self-reported data from 27 healthy older adults (≥67 years) who participated in the MOASIS project over a 30-day period. Based on sensor data we computed three commonly used daily mobility indicators: life space (LS), travel duration using passive (i.e., motorized) modes of transportation (pMOT) and travel duration using active (i.e., non-motorized) modes of transportation (aMOT). We assessed the degree to which these sensor-derived indicators compare to corresponding self-reports at a within-person level, computing intraindividual correlations (iCorrs), subsequently assessing whether iCorrs can be associated with participants’ socio-demographic characteristics on a between-person level. Moderate to large positive mean iCorrs between the respective self-reported and sensor-derived indicators were found (r = 0.75 for LS, 0.51 for pMOT and 0.36 for aMOT). In comparison to sensor-derived indicators, self-reported LS slightly underestimates, while self-reported aMOT as well as pMOT considerably overestimate the amount of daily mobility. Participants with access to a car have higher probabilities of agreement in the pMOT indicator. Sensor-based assessments are promising as they are “objective”, involve less participant burden and observations can be extended over long periods. The findings of this paper help researchers on mobility and aging to estimate the magnitude and direction of potential differences in the assessed variable due to the assessment methods.

Suggested Citation

  • Fillekes, Michelle Pasquale & Röcke, Christina & Katana, Marko & Weibel, Robert, 2019. "Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults," Social Science & Medicine, Elsevier, vol. 220(C), pages 193-202.
  • Handle: RePEc:eee:socmed:v:220:y:2019:i:c:p:193-202
    DOI: 10.1016/j.socscimed.2018.11.010
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    References listed on IDEAS

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    1. Perchoux, Camille & Kestens, Yan & Thomas, Frédérique & Hulst, Andraea Van & Thierry, Benoit & Chaix, Basile, 2014. "Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)," Social Science & Medicine, Elsevier, vol. 119(C), pages 64-73.
    2. Franke, Thea & Winters, Meghan & McKay, Heather & Chaudhury, Habib & Sims-Gould, Joanie, 2017. "A grounded visualization approach to explore sociospatial and temporal complexities of older adults' mobility," Social Science & Medicine, Elsevier, vol. 193(C), pages 59-69.
    3. Michal Isaacson & Noam Shoval & Hans-Werner Wahl & Frank Oswald & Gail Auslander, 2016. "Compliance and data quality in GPS-based studies," Transportation, Springer, vol. 43(1), pages 25-36, January.
    4. Meijering, Louise & Weitkamp, Gerd, 2016. "Numbers and narratives: Developing a mixed-methods approach to understand mobility in later life," Social Science & Medicine, Elsevier, vol. 168(C), pages 200-206.
    5. Michal Isaacson & Noam Shoval & Hans-Werner Wahl & Frank Oswald & Gail Auslander, 2016. "Compliance and data quality in GPS-based studies," Transportation, Springer, vol. 43(1), pages 25-36, January.
    6. Amit Birenboim & Noam Shoval, 2016. "Mobility Research in the Age of the Smartphone," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 283-291, March.
    7. Eleftheria Giannouli & Otmar Bock & Wiebren Zijlstra, 2018. "Cognitive functioning is more closely related to real-life mobility than to laboratory-based mobility parameters," European Journal of Ageing, Springer, vol. 15(1), pages 57-65, March.
    8. Paul Kelly & Patricia Krenn & Sylvia Titze & Peter Stopher & Charlie Foster, 2013. "Quantifying the Difference Between Self-Reported and Global Positioning Systems-Measured Journey Durations: A Systematic Review," Transport Reviews, Taylor & Francis Journals, vol. 33(4), pages 443-459, July.
    9. Brusilovskiy, Eugene & Klein, Louis A. & Salzer, Mark S., 2016. "Using global positioning systems to study health-related mobility and participation," Social Science & Medicine, Elsevier, vol. 161(C), pages 134-142.
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    1. Pantelaki, Evangelia & Maggi, Elena & Crotti, Daniele, 2021. "Mobility impact and well-being in later life: A multidisciplinary systematic review," Research in Transportation Economics, Elsevier, vol. 86(C).
    2. Brusilovskiy, Eugene & Klein, Louis A. & Townley, Greg & Snethen, Gretchen & McCormick, Bryan & Hiremath, Shivayogi V. & Salzer, Mark S., 2020. "Examining the relationship between community mobility and participation using GPS and self-report data," Social Science & Medicine, Elsevier, vol. 265(C).

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