Physical activity patterns and clusters in 1001 patients with COPD

We described physical activity measures and hourly patterns in patients with chronic obstructive pulmonary disease (COPD) after stratification for generic and COPD-specific characteristics and, based on multiple physical activity measures, we identified clusters of patients. In total, 1001 patients...

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Main Authors:	Mesquita, R., Spina, G., Pitta, F., Donaire-Gonzalez, D., Deering, B., Patel, M., Mitchell, K., Alison, J., Van Gestel, A., Zogg, S., Gagnon, P., Abascal-Bolado, B., Vagaggini, B., Garcia-Aymerich, J., Jenkins, Susan, Romme, E., Kon, S., Albert, P., Waschki, B., Shrikrishna, D., Singh, S., Hopkinson, N., Miedinger, D., Benzo, R., Maltais, F., Paggiaro, P., McKeough, Z., Polkey, M., Hill, Kylie, Man, W., Clarenbach, C., Hernandes, N., Savi, D., Wootton, S., Furlanetto, K., Ng, Cindy, Vaes, A., Jenkins, C., Eastwood, P., Jarreta, D., Kirsten, A., Brooks, D., Hillman, D., Sant'Anna, T., Meijer, K., Dürr, S., Rutten, E., Kohler, M., Probst, V., Tal-Singer, R., Gil, E., Den Brinker, A., Leuppi, J., Calverley, P., Smeenk, F., Costello, R., Gramm, M., Goldstein, R., Groenen, M., Magnussen, H., Wouters, E., Zuwallack, R., Amft, O., Watz, H., Spruit, M.
Format:	Journal Article
Published:	Sage Publications Ltd. 2017
Online Access:	http://hdl.handle.net/20.500.11937/55204

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author	Mesquita, R. Spina, G. Pitta, F. Donaire-Gonzalez, D. Deering, B. Patel, M. Mitchell, K. Alison, J. Van Gestel, A. Zogg, S. Gagnon, P. Abascal-Bolado, B. Vagaggini, B. Garcia-Aymerich, J. Jenkins, Susan Romme, E. Kon, S. Albert, P. Waschki, B. Shrikrishna, D. Singh, S. Hopkinson, N. Miedinger, D. Benzo, R. Maltais, F. Paggiaro, P. McKeough, Z. Polkey, M. Hill, Kylie Man, W. Clarenbach, C. Hernandes, N. Savi, D. Wootton, S. Furlanetto, K. Ng, Cindy Vaes, A. Jenkins, C. Eastwood, P. Jarreta, D. Kirsten, A. Brooks, D. Hillman, D. Sant'Anna, T. Meijer, K. Dürr, S. Rutten, E. Kohler, M. Probst, V. Tal-Singer, R. Gil, E. Den Brinker, A. Leuppi, J. Calverley, P. Smeenk, F. Costello, R. Gramm, M. Goldstein, R. Groenen, M. Magnussen, H. Wouters, E. Zuwallack, R. Amft, O. Watz, H. Spruit, M.
author_facet	Mesquita, R. Spina, G. Pitta, F. Donaire-Gonzalez, D. Deering, B. Patel, M. Mitchell, K. Alison, J. Van Gestel, A. Zogg, S. Gagnon, P. Abascal-Bolado, B. Vagaggini, B. Garcia-Aymerich, J. Jenkins, Susan Romme, E. Kon, S. Albert, P. Waschki, B. Shrikrishna, D. Singh, S. Hopkinson, N. Miedinger, D. Benzo, R. Maltais, F. Paggiaro, P. McKeough, Z. Polkey, M. Hill, Kylie Man, W. Clarenbach, C. Hernandes, N. Savi, D. Wootton, S. Furlanetto, K. Ng, Cindy Vaes, A. Jenkins, C. Eastwood, P. Jarreta, D. Kirsten, A. Brooks, D. Hillman, D. Sant'Anna, T. Meijer, K. Dürr, S. Rutten, E. Kohler, M. Probst, V. Tal-Singer, R. Gil, E. Den Brinker, A. Leuppi, J. Calverley, P. Smeenk, F. Costello, R. Gramm, M. Goldstein, R. Groenen, M. Magnussen, H. Wouters, E. Zuwallack, R. Amft, O. Watz, H. Spruit, M.
author_sort	Mesquita, R.
building	Curtin Institutional Repository
collection	Online Access
description	We described physical activity measures and hourly patterns in patients with chronic obstructive pulmonary disease (COPD) after stratification for generic and COPD-specific characteristics and, based on multiple physical activity measures, we identified clusters of patients. In total, 1001 patients with COPD (65% men; age, 67 years; forced expiratory volume in the first second [FEV 1 ], 49% predicted) were studied cross-sectionally. Demographics, anthropometrics, lung function and clinical data were assessed. Daily physical activity measures and hourly patterns were analysed based on data from a multisensor armband. Principal component analysis (PCA) and cluster analysis were applied to physical activity measures to identify clusters. Age, body mass index (BMI), dyspnoea grade and ADO index (including age, dyspnoea and airflow obstruction) were associated with physical activity measures and hourly patterns. Five clusters were identified based on three PCA components, which accounted for 60% of variance of the data. Importantly, couch potatoes (i.e. the most inactive cluster) were characterised by higher BMI, lower FEV 1 , worse dyspnoea and higher ADO index compared to other clusters (p < 0.05 for all). Daily physical activity measures and hourly patterns are heterogeneous in COPD. Clusters of patients were identified solely based on physical activity data. These findings may be useful to develop interventions aiming to promote physical activity in COPD.
first_indexed	2025-11-14T10:01:50Z
format	Journal Article
id	curtin-20.500.11937-55204
institution	Curtin University Malaysia
institution_category	Local University
last_indexed	2025-11-14T10:01:50Z
publishDate	2017
publisher	Sage Publications Ltd.
recordtype	eprints
repository_type	Digital Repository
spelling	curtin-20.500.11937-552042017-11-09T02:47:32Z Physical activity patterns and clusters in 1001 patients with COPD Mesquita, R. Spina, G. Pitta, F. Donaire-Gonzalez, D. Deering, B. Patel, M. Mitchell, K. Alison, J. Van Gestel, A. Zogg, S. Gagnon, P. Abascal-Bolado, B. Vagaggini, B. Garcia-Aymerich, J. Jenkins, Susan Romme, E. Kon, S. Albert, P. Waschki, B. Shrikrishna, D. Singh, S. Hopkinson, N. Miedinger, D. Benzo, R. Maltais, F. Paggiaro, P. McKeough, Z. Polkey, M. Hill, Kylie Man, W. Clarenbach, C. Hernandes, N. Savi, D. Wootton, S. Furlanetto, K. Ng, Cindy Vaes, A. Jenkins, C. Eastwood, P. Jarreta, D. Kirsten, A. Brooks, D. Hillman, D. Sant'Anna, T. Meijer, K. Dürr, S. Rutten, E. Kohler, M. Probst, V. Tal-Singer, R. Gil, E. Den Brinker, A. Leuppi, J. Calverley, P. Smeenk, F. Costello, R. Gramm, M. Goldstein, R. Groenen, M. Magnussen, H. Wouters, E. Zuwallack, R. Amft, O. Watz, H. Spruit, M. We described physical activity measures and hourly patterns in patients with chronic obstructive pulmonary disease (COPD) after stratification for generic and COPD-specific characteristics and, based on multiple physical activity measures, we identified clusters of patients. In total, 1001 patients with COPD (65% men; age, 67 years; forced expiratory volume in the first second [FEV 1 ], 49% predicted) were studied cross-sectionally. Demographics, anthropometrics, lung function and clinical data were assessed. Daily physical activity measures and hourly patterns were analysed based on data from a multisensor armband. Principal component analysis (PCA) and cluster analysis were applied to physical activity measures to identify clusters. Age, body mass index (BMI), dyspnoea grade and ADO index (including age, dyspnoea and airflow obstruction) were associated with physical activity measures and hourly patterns. Five clusters were identified based on three PCA components, which accounted for 60% of variance of the data. Importantly, couch potatoes (i.e. the most inactive cluster) were characterised by higher BMI, lower FEV 1 , worse dyspnoea and higher ADO index compared to other clusters (p < 0.05 for all). Daily physical activity measures and hourly patterns are heterogeneous in COPD. Clusters of patients were identified solely based on physical activity data. These findings may be useful to develop interventions aiming to promote physical activity in COPD. 2017 Journal Article http://hdl.handle.net/20.500.11937/55204 10.1177/1479972316687207 http://creativecommons.org/licenses/by-nc/3.0/ Sage Publications Ltd. fulltext
spellingShingle	Mesquita, R. Spina, G. Pitta, F. Donaire-Gonzalez, D. Deering, B. Patel, M. Mitchell, K. Alison, J. Van Gestel, A. Zogg, S. Gagnon, P. Abascal-Bolado, B. Vagaggini, B. Garcia-Aymerich, J. Jenkins, Susan Romme, E. Kon, S. Albert, P. Waschki, B. Shrikrishna, D. Singh, S. Hopkinson, N. Miedinger, D. Benzo, R. Maltais, F. Paggiaro, P. McKeough, Z. Polkey, M. Hill, Kylie Man, W. Clarenbach, C. Hernandes, N. Savi, D. Wootton, S. Furlanetto, K. Ng, Cindy Vaes, A. Jenkins, C. Eastwood, P. Jarreta, D. Kirsten, A. Brooks, D. Hillman, D. Sant'Anna, T. Meijer, K. Dürr, S. Rutten, E. Kohler, M. Probst, V. Tal-Singer, R. Gil, E. Den Brinker, A. Leuppi, J. Calverley, P. Smeenk, F. Costello, R. Gramm, M. Goldstein, R. Groenen, M. Magnussen, H. Wouters, E. Zuwallack, R. Amft, O. Watz, H. Spruit, M. Physical activity patterns and clusters in 1001 patients with COPD
title	Physical activity patterns and clusters in 1001 patients with COPD
title_full	Physical activity patterns and clusters in 1001 patients with COPD
title_fullStr	Physical activity patterns and clusters in 1001 patients with COPD
title_full_unstemmed	Physical activity patterns and clusters in 1001 patients with COPD
title_short	Physical activity patterns and clusters in 1001 patients with COPD
title_sort	physical activity patterns and clusters in 1001 patients with copd
url	http://hdl.handle.net/20.500.11937/55204

Physical activity patterns and clusters in 1001 patients with COPD

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