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Facilitators and barriers to real-life mobility in community-dwelling older adults: a narrative review of accelerometry- and global positioning system-based studies

期刊

AGING CLINICAL AND EXPERIMENTAL RESEARCH
卷 34, 期 8, 页码 1733-1746

出版社

SPRINGER
DOI: 10.1007/s40520-022-02096-x

关键词

Physical activity and participation; Spatial movement; Wearable technology

资金

  1. National Institutes of Health [R01 AG057671, K01 AG053431]

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This review article summarizes the common mobility measures extracted from wearable sensors, as well as the studies assessing the associations between facilitators and barriers to community mobility and mobility measures from sensor technology. The findings suggest that cognition and psychosocial influences are important facilitators or barriers to community mobility, while fewer studies have considered the influence of external environmental factors. Understanding these factors can inform interventions using wearable technology to delay mobility-related disability and improve participation in older adults.
Real-life mobility, also called enacted mobility, characterizes an individual's activity and participation in the community. Real-life mobility may be facilitated or hindered by a variety of factors, such as physical abilities, cognitive function, psychosocial aspects, and external environment characteristics. Advances in technology have allowed for objective quantification of real-life mobility using wearable sensors, specifically, accelerometry and global positioning systems (GPSs). In this review article, first, we summarize the common mobility measures extracted from accelerometry and GPS. Second, we summarize studies assessing the associations of facilitators and barriers influencing mobility of community-dwelling older adults with mobility measures from sensor technology. We found the most used accelerometry measures focus on the duration and intensity of activity in daily life. Gait quality measures, e.g., cadence, variability, and symmetry, are not usually included. GPS has been used to investigate mobility behavior, such as spatial and temporal measures of path traveled, location nodes traversed, and mode of transportation. Factors of note that facilitate/hinder community mobility were cognition and psychosocial influences. Fewer studies have included the influence of external environments, such as sidewalk quality, and socio-economic status in defining enacted mobility. Increasing our understanding of the facilitators and barriers to enacted mobility can inform wearable technology-enabled interventions targeted at delaying mobility-related disability and improving participation of older adults in the community.

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