TY - JOUR
T1 - Lifespace metrics of older adults with mild cognitive impairment and dementia recorded via geolocation data
AU - Liddle, Jacki
AU - Ireland, David
AU - Krysinska, Karolina
AU - Harrison, Fleur
AU - Lamont, Robyn
AU - Karunanithi, Mohan
AU - Kang, Kristan
AU - Reppermund, Simone
AU - Sachdev, Perminder S.
AU - Gustafsson, Louise
AU - Brauer, Sandra
AU - Pachana, Nancy A.
AU - Brodaty, Henry
N1 - Funding Information:
The research was funded by a Dementia Collaborative Research Centre Assessment and Better Care Grant. The Memory and Ageing Study was funded by three NHMRC Program grants. The funding bodies played no part in the design or conduct of research, analysis of data or writing of manuscript or choice of publication venue
Publisher Copyright:
© 2021 AJA Inc’.
PY - 2021/12
Y1 - 2021/12
N2 - Objective: Lifespace, the physical area in which someone conducts life activities, indicates lived community mobility. This study explored the feasibility of technology-based lifespace measurement for older people with dementia and mild cognitive impairment (MCI), including the generation of a range of lifespace metrics, and investigation of relationships with health and mobility status. Methods: An exploratory study was conducted within a longitudinal observational study. Eighteen older adults (mean age 86.7 years (SD: 3.2); 8 men; 15 MCI), participated. Lifespace metrics were generated from geolocation data (GPS and Bluetooth beacon) collected through a smartphone application for one week (2015–2016). Cognitive and mobility-related outcomes were compared from study data sets at baseline (2005–2007) and 6-year follow-up (2011–2014). Results: Lifespace data could be collected from all participants, and metrics were generated including percentage of time at home, maximum distance from home, episodes of travel in a week, days in a week participants left home, lifespace area (daily, weekly and total), indoor lifespace (regions in the home/hour), and a developed lifespace score that combined time, frequency of travel, distance and area. Results indicated a large range of lifespace areas (0.1 – 97.88 km2; median 6.77 km2) with similar patterns across lifespace metrics. Significant relationships were found between lifespace metrics and concurrent driving status and anteceding scores on the sit-to-stand test (at baseline and follow-up). Conclusions: Further longitudinal exploration of lifespace is required to develop an understanding of the nature of lifespace of older community-dwelling people, and its relationship with health, mobility and well-being outcomes.
AB - Objective: Lifespace, the physical area in which someone conducts life activities, indicates lived community mobility. This study explored the feasibility of technology-based lifespace measurement for older people with dementia and mild cognitive impairment (MCI), including the generation of a range of lifespace metrics, and investigation of relationships with health and mobility status. Methods: An exploratory study was conducted within a longitudinal observational study. Eighteen older adults (mean age 86.7 years (SD: 3.2); 8 men; 15 MCI), participated. Lifespace metrics were generated from geolocation data (GPS and Bluetooth beacon) collected through a smartphone application for one week (2015–2016). Cognitive and mobility-related outcomes were compared from study data sets at baseline (2005–2007) and 6-year follow-up (2011–2014). Results: Lifespace data could be collected from all participants, and metrics were generated including percentage of time at home, maximum distance from home, episodes of travel in a week, days in a week participants left home, lifespace area (daily, weekly and total), indoor lifespace (regions in the home/hour), and a developed lifespace score that combined time, frequency of travel, distance and area. Results indicated a large range of lifespace areas (0.1 – 97.88 km2; median 6.77 km2) with similar patterns across lifespace metrics. Significant relationships were found between lifespace metrics and concurrent driving status and anteceding scores on the sit-to-stand test (at baseline and follow-up). Conclusions: Further longitudinal exploration of lifespace is required to develop an understanding of the nature of lifespace of older community-dwelling people, and its relationship with health, mobility and well-being outcomes.
KW - community
KW - gerontology
KW - mobility restriction
KW - Smartphone
UR - http://www.scopus.com/inward/record.url?scp=85118131569&partnerID=8YFLogxK
U2 - 10.1111/ajag.13007
DO - 10.1111/ajag.13007
M3 - Article
C2 - 34698431
AN - SCOPUS:85118131569
SN - 1440-6381
VL - 40
SP - 341
EP - 346
JO - Australasian Journal on Ageing
JF - Australasian Journal on Ageing
IS - 4
ER -