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Functional capacity measurement: reference equations for the Glittre Activities of Daily Living test

Overview of attention for article published in Jornal de Pneumologia, October 2018
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Title
Functional capacity measurement: reference equations for the Glittre Activities of Daily Living test
Published in
Jornal de Pneumologia, October 2018
DOI 10.1590/s1806-37562017000000118
Pubmed ID
Authors

Cardine Martins dos Reis, Manuela Karloh, Fernanda Rodrigues Fonseca, Roberta Rodolfo Mazzali Biscaro, Giovana Zarpellon Mazo, Anamaria Fleig Mayer

Abstract

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. 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. 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). 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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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 23%
Student > Bachelor 6 10%
Student > Ph. D. Student 4 7%
Professor 3 5%
Student > Postgraduate 3 5%
Other 2 3%
Unknown 28 47%
Readers by discipline Count As %
Nursing and Health Professions 13 22%
Medicine and Dentistry 6 10%
Agricultural and Biological Sciences 2 3%
Economics, Econometrics and Finance 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 3%
Unknown 35 58%