{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T23:29:49Z","timestamp":1792193389617,"version":"4.4.0"},"reference-count":54,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2017,2,24]],"date-time":"2017-02-24T00:00:00Z","timestamp":1487894400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Chron Respir Dis"],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>\n                    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\n                    <jats:sub>1<\/jats:sub>\n                    ], 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\n                    <jats:sub>1<\/jats:sub>\n                    , worse dyspnoea and higher ADO index compared to other clusters ( p &lt; 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.\n                  <\/jats:p>","DOI":"10.1177\/1479972316687207","type":"journal-article","created":{"date-parts":[[2017,2,24]],"date-time":"2017-02-24T05:18:35Z","timestamp":1487913515000},"page":"256-269","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":73,"title":["Physical activity patterns and clusters in 1001 patients with COPD"],"prefix":"10.1177","volume":"14","author":[{"given":"Rafael","family":"Mesquita","sequence":"first","affiliation":[{"name":"Department of Research & Education, CIRO, Horn, The Netherlands"},{"name":"Department of Respiratory Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriele","family":"Spina","sequence":"additional","affiliation":[{"name":"Department of Signal Processing Systems, Technische Universiteit Eindhoven, Eindhoven, The Netherlands"},{"name":"Smart Professional Spaces Group, Philips Research, Eindhoven, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabio","family":"Pitta","sequence":"additional","affiliation":[{"name":"Laboratory of Research in Respiratory Physiotherapy, Department of Physiotherapy, State University of Londrina (UEL), Londrina, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Donaire-Gonzalez","sequence":"additional","affiliation":[{"name":"Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain"},{"name":"CIBER Epidemiolog\u00eda y Salud P\u00fablica (CIBERESP), Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brenda M","family":"Deering","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine, Beaumont Hospital, Dublin, Ireland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehul S","family":"Patel","sequence":"additional","affiliation":[{"name":"NIHR Respiratory Biomedical Research Unit, Royal Brompton & Harefield NHS Foundation Trust and Imperial College, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katy E","family":"Mitchell","sequence":"additional","affiliation":[{"name":"NIHR EM CLAHRC \u2013 Centre for Exercise and Rehabilitation Science, University Hospitals, Leicester, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Alison","sequence":"additional","affiliation":[{"name":"Clinical and Rehabilitation Sciences, The University of Sydney, Sydney, NSW, Australia"},{"name":"Physiotherapy Department, Royal Prince Alfred Hospital, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arnoldus JR","family":"van Gestel","sequence":"additional","affiliation":[{"name":"Pulmonary Division, University Hospital of Zurich, Zurich, Switzerland"},{"name":"Deceased 3 June 2016"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefanie","family":"Zogg","sequence":"additional","affiliation":[{"name":"Medical University Clinic, Cantonal Hospital Baselland, Liestal and Medical Faculty, University of Basel, Basel, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe","family":"Gagnon","sequence":"additional","affiliation":[{"name":"Centre de recherche, Institut Universitaire de cardiologie et de pneumologie de Qu\u00e9bec, 2725 Chemin Ste-Foy Qu\u00e9bec, Universit\u00e9 Laval, Qu\u00e9bec, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beatriz","family":"Abascal-Bolado","sequence":"additional","affiliation":[{"name":"Division of Pulmonary, Hospital U. 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