Validity and reliability of the Glittre-ADL test in adults with asthma

• Published in: Physiotherapy theory and practice Vol. 39; no. 5; pp. 1052 - 1060
• Main Authors: Cavalheiro Puzzi, Vitória, Mara Oliveira, Joice, Bessa Alves, Thainá, Priscila da Conceição Silva, Jessica, Pitta, Fabio, Couto Furlanetto, Karina
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis Ltd 01.05.2023
• Subjects: Activities of Daily Living; Adult; Adults; Asthma; Asthma - diagnosis; Exercise Test; Female; Humans; Male; Measurement; Pulmonary Disease, Chronic Obstructive; Quality of Life; Reliability; Reproducibility of Results; Spirometry; Tests; Walk Test; Validity and reliability; activities of daily living; asthma
• ISSN: 0959-3985; 1532-5040
• DOI: 10.1080/09593985.2022.2114301

Adults with asthma may have limitations in their activities of daily living (ADL) and among the most used tests to assess ADL, performance-based instruments such as the Glittre-Activities of Daily Living (Glittre-ADL) test are available. However, metric properties of this instrument have not yet been investigated in this population. To verify the construct validity and reliability of the Glittre-ADL test in adults with asthma. Fifty-eight adults with asthma had their ADL objectively assessed by Glittre-ADL test, which was performed twice by the same rater. Lung function (spirometry), functional exercise capacity (6-minute walk test, 6MWT), and quality of life (St George's Respiratory Questionnaire, SGRQ) were also assessed. Participants were 31% men; 43 ± 14 years; FEV1 74 ± 18% predicted. Performance in the Glittre-ADL test correlated with the 6MWT (r = -0.61; P < .0001) and had excellent intraclass correlation coefficient ICC  = 0.95. Standard error of measurement was 23%, and the minimal detectable change was 29 seconds. Furthermore, the learning effect was 11 seconds (5.03%). The Glittre-ADL test is valid and reliable for assessing ADL in adults with asthma. However, considerable learning effect was observed and therefore the best of two measures can avoid underestimation.