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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Functional capacity measurement: reference equations for the Glittre Activities of Daily Living test
Cardine Martins Dos Reis1,2, Manuela Karloh1,3, Fernanda Rodrigues Fonseca1,2
1. Núcleo de Assistência, Ensino e Pesquisa em Reabilitação Pulmonar, Centro de Ciências da Saúde e do Esporte, Universidade do Estado de Santa Catarina, Florianópolis (SC) Brasil.
Objective:
To develop reference equations for the Glittre Activities of Daily Living test (Glittre ADL-test) on the basis of anthropometric and demographic variables in apparently healthy individuals. A secondary objective was to determine the reliability of the equations in a sample of COPD patients.
Methods:
This was a cross-sectional study including 190 apparently healthy individuals (95 males; median age, 54.5 years [range, 42-65]; median FEV1 = 97% [range, 91-105.2]; and median FVC = 96% [range, 88.5-102]) recruited from the general community and 74 COPD patients (55 males; mean age, 65 ± 8 years; body mass index [BMI] = 25.9 ± 4.7 kg/m2; FEV1 = 36.1 ± 14.1%; and FVC = 62.7 ± 16.1%) recruited from a pulmonary rehabilitation center.
Results:
The mean time to complete the Glittre ADL-test was 2.84 ± 0.45 min. In the stepwise multiple linear regression analysis, age and height were selected as Glittre ADL-test performance predictors, explaining 32.1% (p < 0.01) of the total variance. Equation 1 was as follows: Glittre ADL-testpredicted = 3.049 + (0.015 × ageyears) + (-0.006 × heightcm). Equation 2 included age and BMI and explained 32.3% of the variance in the test, the equation being as follows: Glittre ADL-testpredicted = 1.558 + (0.018 × BMI) + (0.016 × ageyears).
Conclusions:
The reference equations for the time to complete the Glittre ADL-test were based on age, BMI, and height as independent variables and can be useful for predicting the performance of adult individuals. The predicted values appear to be reliable when applied to COPD patients.
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