Purpose and methods: Daily Physical Activity (DPA) can be estimated by inertial sensors built in a commercial smathphone. Processing algorithms can be developed that quantify walking time. One of the features of frailty is the reduce amount of time dedicated to different DPA. 168 elderly subjects (87F; 79.6±6.6ys, MMSE 27.3±1.8) wore a Samsung Galaxy SII/III placed in a belt-pocket on the back for at least 5 days during day time. We present results on daily average time spent in walking (WT) or other activities (OAT) according to frailty status, assessed by Fried’s criteria (FC). Associations were assessed by regression models. Results: 17/168 subjects met the criteria for frailty. As expected, frail participants had shorter WT (55.5±25.1minutes vs 109.4±44.1minutes, p<0.001) but similar OAT (143.7±60.3minutes vs 169.8±53.2minutes, p=0.153) compared to non-frail participants. Focusing on specific FC criteria, after adjusting for age and sex, “Exhaustion”, “Low-Physical-Activity” and “Walking speed” were related to WT (p<0.001) while none criteria were found associated with OAT (p>0.130). Conclusions: Development of smarthphone technology can improve assessment of mobility during daily life in elderly community dwelling. One peculiar aspect of frailty is related to a shorter WT but is not associated with a OAT usually needed for ADL. The spread of mobile and wearable devices and the development of advanced estimators can help early identification of subjects at risk of frailty by monitoring daily living activities.
Colpo, M., Baccini, M., Mellone, S., Chiari, L., Sini, G., Bandinelli, S. (2015). DAILY MOBILITY IN FRAIL NOT-DISABLE COMMUNITY DWELLING OLDER PERSONS: THE INCHIANTI-FARSEEING STUDY. THE GERONTOLOGIST, 55(Suppl.2), 45-45 [10.1093/geront/gnv349.15].
DAILY MOBILITY IN FRAIL NOT-DISABLE COMMUNITY DWELLING OLDER PERSONS: THE INCHIANTI-FARSEEING STUDY
MELLONE, SABATO;CHIARI, LORENZO;
2015
Abstract
Purpose and methods: Daily Physical Activity (DPA) can be estimated by inertial sensors built in a commercial smathphone. Processing algorithms can be developed that quantify walking time. One of the features of frailty is the reduce amount of time dedicated to different DPA. 168 elderly subjects (87F; 79.6±6.6ys, MMSE 27.3±1.8) wore a Samsung Galaxy SII/III placed in a belt-pocket on the back for at least 5 days during day time. We present results on daily average time spent in walking (WT) or other activities (OAT) according to frailty status, assessed by Fried’s criteria (FC). Associations were assessed by regression models. Results: 17/168 subjects met the criteria for frailty. As expected, frail participants had shorter WT (55.5±25.1minutes vs 109.4±44.1minutes, p<0.001) but similar OAT (143.7±60.3minutes vs 169.8±53.2minutes, p=0.153) compared to non-frail participants. Focusing on specific FC criteria, after adjusting for age and sex, “Exhaustion”, “Low-Physical-Activity” and “Walking speed” were related to WT (p<0.001) while none criteria were found associated with OAT (p>0.130). Conclusions: Development of smarthphone technology can improve assessment of mobility during daily life in elderly community dwelling. One peculiar aspect of frailty is related to a shorter WT but is not associated with a OAT usually needed for ADL. The spread of mobile and wearable devices and the development of advanced estimators can help early identification of subjects at risk of frailty by monitoring daily living activities.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
