Article (Scientific journals)
Added value of a triaxial accelerometer assessing gait parameters to predict falls and mortality among nursing home residents: A two-year prospective study.
Buckinx, Fanny; Beaudart, Charlotte; Slomian, Justine et al.
2015In Technology and Health Care, 23, p. 195-203
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Keywords :
Mortality; falls; nursing home; risk factors
Abstract :
[en] BACKGROUND: Gait impairment seems to be a risk factor for falls and mortality. Because gait change cannot be determined easily with classical clinical tests, some authors have suggested that it might be useful to use a gait-analysis system among elderly community-dwelling people. OBJECTIVE: The main objective of the present study was to determine the predictive value of a quantitative evaluation of the gait characteristics in nursing home residents for the occurrence of falls and death performed using a tri-axial accelerometer (Locometrix(R)). MATERIAL AND METHODS: One hundred elderly nursing home residents (80 women and 20 men, mean age 86.4 +/- 6.04 years) were included in this study with the aim to follow them for 2 years. Deaths and falls were systematically recorded. A quantitative evaluation of a 10-second walk was performed with a tri-axial accelerometer (Locometrix(R)). Demographic data (i.e age, sex, body mass index) and clinical data (i.e. fall risk evaluated by the Tinetti test) were also recorded. RESULTS: During the two years of follow-up, 27 patients died. After adjustment on all potential confounding variables, only body mass index was significantly associated with the risk of mortality with an odds ratio of 0.86 (95% CI: 0.77-0.96, p=0.04). At the end of the study period, 440 falls had occurred (mean: 4.44 +/- 6.79 falls per patient) but no single factors were independently associated with fall incidence. CONCLUSION: Our results show that a quantitative gait analysis performed using a tri-axial accelerometer is not predictive of long-term falls and mortality among nursing home residents.
Disciplines :
General & internal medicine
Author, co-author :
Buckinx, Fanny  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Beaudart, Charlotte ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Slomian, Justine ;  Université de Liège - ULiège > Département des sciences de la santé publique > Epidémiologie clinique
Maquet, Didier ;  Université de Liège - ULiège > Département des sciences de la motricité > Département des sciences de la motricité
Demonceau, Marie ;  Université de Liège - ULiège > Département des sciences de la motricité > Kinésithérapie générale et réadaptation
Gillain, Sophie ;  Centre Hospitalier Universitaire de Liège - CHU > Service de gériatrie
Petermans, Jean ;  Université de Liège - ULiège > Département des sciences cliniques > Gériatrie
Reginster, Jean-Yves  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Bruyère, Olivier  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Language :
English
Title :
Added value of a triaxial accelerometer assessing gait parameters to predict falls and mortality among nursing home residents: A two-year prospective study.
Publication date :
2015
Journal title :
Technology and Health Care
ISSN :
0928-7329
eISSN :
1878-7401
Publisher :
IOS Press, Amsterdam, Netherlands
Volume :
23
Pages :
195-203
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 18 March 2015

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