Postural Transitions during Activities of Daily Living Could Identify Frailty Status: Application of Wearable Technology to Identify Frailty during Unsupervised Condition.
Postural Transitions during Activities of Daily Living Could Identify Frailty Status: Application of Wearable Technology to Identify Frailty during Unsupervised Condition.
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作者：
Parvaneh S;Mohler J;Toosizadeh N;Grewal GS;Najafi B
Impairment of physical function is a major indicator of frailty. Functional performance tests have been shown to be useful for identification of frailty in older adults. However, these tests are often not translatable into unsupervised and remote monitoring of frailty status at home and/or community settings. In this study, we explored daily postural transition quantified using a chest-worn wearable technology to identify frailty in community-dwelling older adults. Spontaneous daily physical activity was monitored over 24 hours in 120 community dwelling (age: 78±8 years) using an unobtrusive wearable sensor (PAMSys™, Biosensics LLC). Participants were classified as non-frail and pre-frail/frail using Fried’s criteria. A validated software was used to identify body postures and postural transition between each independent postural activities such as sit-to-stand, stand-to-sit, stand-to-walk, and walk-to-stand. Transition from walking to sitting was further classified as quick-sitting and cautious-sitting based on presence/absence of a standing-posture pause between sitting and walking. General linear model univariate test was used for between groups comparison. Pearson’s correlation was used to determine the association between sensor-derived parameters with age. Logistic regression model was used to identify independent predictors of frailty. According to Fried’s criteria, 63% of participants were pre-frail/frail. The total number of postural transitions, stand-to-walk, and walk-to-stand were, respectively, 25.2%, 30.2%, and 30.6% lower in the pre-frail/frail group when compared to non-frails (p<0.05, Cohen’s d=0.73–0.79). Furthermore, ratio of cautious-sitting was significantly higher by 6.2% in pre-frail/frail compared to non-frail (p=0.025, Cohen’s d=0.22). Total number of postural transitions and ratio of cautious-sitting also showed significant negative and positive correlations with age, respectively (r=-0.51 and 0.29, p<0.05). After applying a logistic regression model, among tested parameters, walk-to-stand (OR=0.997 p=0.013), quick-sitting (OR=1.036, p=0.05), and age (OR=1.073, p=0.016) were recognized as independent variables to identify frailty status. This study demonstrated that daily number of specific postural transitions such as walk-to-stand and quick-sitting could be used for monitoring frailty status by unsupervised monitoring of daily physical activity. Further study is warrant to explore whether tracking daily number of specific postural transitions are also sensitive to track change in status of frailty over time.
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影响因子：
5.1
作者：
Lamoth CJ;van Deudekom FJ;van Campen JP;Appels BA;de Vries OJ;Pijnappels M
通讯作者：
Pijnappels M
影响因子：
3.5
作者：
Mohler MJ;Wendel CS;Taylor-Piliae RE;Toosizadeh N;Najafi B
通讯作者：
Najafi B
DOI：
10.1093/gerona/55.6.m350
发表时间：
2000-06-01
影响因子：
5.1
作者：
Brown, M;Sinacore, DR;Kohrt, WM
通讯作者：
Kohrt, WM
影响因子：
5
作者：
Galán-Mercant A;Cuesta-Vargas AI
通讯作者：
Cuesta-Vargas AI
DOI：
10.11124/jbisrir-2016-2467
发表时间：
2016-01-01
期刊：
JBI database of systematic reviews and implementation reports
影响因子：
--
作者：
Apostolo, Joao;Cooke, Richard;Holland, Carol
通讯作者：
Holland, Carol