Normative reference values, determinants and regression equations for the incremental shuttle walk test (ISWT) in healthy Asian population aged 21 to 80 years.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 18 05 2023
accepted: 22 08 2023
medline: 7 9 2023
pubmed: 5 9 2023
entrez: 5 9 2023
Statut: epublish

Résumé

The validated Incremental Shuttle Walk Test (ISWT) is widely used for evaluating maximal exercise capacity, with the distance-walked (IWSD) as the primary outcome. However, there are no normative reference values (NRV) and reference equations to predict ISWD for the Singaporean population. This study aims to establish the NRV and reference equations for ISWD in healthy Singaporeans aged 21 to 80 and investigate the determining variables during ISWT. This cross-sectional study recruited community-dwelling healthy subjects aged 21-80 from the community via convenience sampling. Each subject completed two trials of the ISWT according to the standard protocol. Variables measured during the trials included ISWD, pre-and post-test heart rate (HR), oxygen saturation, blood pressure (BP), modified Borg's dyspnoea score and Borg's rate of perceived exertion (RPE). 199 healthy Singaporean (females = 114, males = 85) participated in the study. The overall median ISWD was 660.0 metres (m) [interquartile range (IQR):440.0-850.0]. The age-stratified mean ISWD ranged from 430.0 m (IQR:350.0-450.0) (aged 60-80) to 480.0 m (IQR:438.0-650.0) (aged 40-59) to 780.0 m (IQR:670.0-960.0) (aged 21-39). Gender, age, weight, height and HR change (highest post-test HR minus pre-test HR) were the most significant variables (p < 0.001). IWSD (m) = 651.4(Height, m) +89.7(Gender, male = 1; female = 0) -6.31(Age, years) -3.61(Weight, kilograms) +2.54(HR change, beats per minute); R2 = 0.741. Previously published ISWT reference equations cannot accurately predict the ISWD in the Singaporean population. This study investigated the ISWD NRV and established reference equations for healthy Singaporeans aged 21-80. The information would be beneficial in setting performance benchmarks to guide physical assessment, intervention and rehabilitation.

Sections du résumé

BACKGROUND
The validated Incremental Shuttle Walk Test (ISWT) is widely used for evaluating maximal exercise capacity, with the distance-walked (IWSD) as the primary outcome. However, there are no normative reference values (NRV) and reference equations to predict ISWD for the Singaporean population.
OBJECTIVES
This study aims to establish the NRV and reference equations for ISWD in healthy Singaporeans aged 21 to 80 and investigate the determining variables during ISWT.
METHODS
This cross-sectional study recruited community-dwelling healthy subjects aged 21-80 from the community via convenience sampling. Each subject completed two trials of the ISWT according to the standard protocol. Variables measured during the trials included ISWD, pre-and post-test heart rate (HR), oxygen saturation, blood pressure (BP), modified Borg's dyspnoea score and Borg's rate of perceived exertion (RPE).
RESULTS
199 healthy Singaporean (females = 114, males = 85) participated in the study. The overall median ISWD was 660.0 metres (m) [interquartile range (IQR):440.0-850.0]. The age-stratified mean ISWD ranged from 430.0 m (IQR:350.0-450.0) (aged 60-80) to 480.0 m (IQR:438.0-650.0) (aged 40-59) to 780.0 m (IQR:670.0-960.0) (aged 21-39). Gender, age, weight, height and HR change (highest post-test HR minus pre-test HR) were the most significant variables (p < 0.001). IWSD (m) = 651.4(Height, m) +89.7(Gender, male = 1; female = 0) -6.31(Age, years) -3.61(Weight, kilograms) +2.54(HR change, beats per minute); R2 = 0.741. Previously published ISWT reference equations cannot accurately predict the ISWD in the Singaporean population.
CONCLUSIONS
This study investigated the ISWD NRV and established reference equations for healthy Singaporeans aged 21-80. The information would be beneficial in setting performance benchmarks to guide physical assessment, intervention and rehabilitation.

Identifiants

pubmed: 37669286
doi: 10.1371/journal.pone.0291132
pii: PONE-D-23-14384
pmc: PMC10479918
doi:

Banques de données

figshare
['10.6084/m9.figshare.23652606.v2']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0291132

Informations de copyright

Copyright: © 2023 Azman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Muhammad Zulhaziq Bin Azman (MZB)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.
Department of Physiotherapy, Ng Teng Fong General Hospital, Singapore, Singapore.

Katherin S Huang (KS)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.

Wei Jun Koh (WJ)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.

Sarah S Leong (SS)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.
Department of Physiotherapy, Ng Teng Fong General Hospital, Singapore, Singapore.

Benjamin Ong (B)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.
Department of Physiotherapy, Sengkang General Hospital, Singapore, Singapore.

Johanna L Soon (JL)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.
Department of Physiotherapy, Tan Tock Seng Hospital, Singapore, Singapore.

Sherman W Tan (SW)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.
Department of Physiotherapy, Tan Tock Seng Hospital, Singapore, Singapore.

Melissa Y Chan (MY)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.

Mingxing Yang (M)

Department of Physiotherapy, Singhealth Polyclinics, Singapore, Singapore.

Meredith T Yeung (MT)

Health and Social Sciences Cluster, Singapore Institute of Technology, Singapore, Singapore.

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