دورية أكاديمية
Physical activity patterns and clusters in 1001 patients with COPD
| العنوان: | Physical activity patterns and clusters in 1001 patients with COPD |
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| المؤلفون: | Mesquita, R, Spina, G, Pitta, F, Donaire-Gonzalez, D, Deering, BM, Patel, MS, Mitchell, KE, Alison, J, Van Gestel, AJR, Zogg, S, Gagnon, P, Abascal-Bolado, B, Vagaggini, B, Garcia-Aymerich, J, Jenkins, SC, Romme, EAPM, Kon, SSC, Albert, PS, Waschki, B, Shrikrishna, D, Singh, SJ, Hopkinson, NS, Miedinger, D, Benzo, RP, Maltais, F, Paggiaro, P, McKeough, ZJ, Polkey, MI, Hill, K, Man, WDC, Clarenbach, CF, Hernandes, NA, Savi, D, Wootton, S, Furlanetto, KC, Cindy Ng, LW, Vaes, AW, Jenkins, C, Eastwood, PR, Jarreta, D, Kirsten, A, Brooks, D, Hillman, DR, Sant'Anna, T, Meijer, K, Dürr, S, Rutten, EPA, Kohler, M, Probst, VS, Tal-Singer, R, Gil, EG, Den Brinker, AC, Leuppi, JD, Calverley, PMA, Smeenk, FWJM, Costello, RW, Gramm, M, Goldstein, R, Groenen, MTJ, Magnussen, H, Wouters, EFM, Zuwallack, RL, Amft, O, Watz, H, Spruit, MA |
| المصدر: | urn:ISSN:1479-9723 ; urn:ISSN:1479-9731 ; Chronic Respiratory Disease, 14, 3, 256-269 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2017 |
| المجموعة: | UNSW Sydney (The University of New South Wales): UNSWorks |
| مصطلحات موضوعية: | Chronic Obstructive Pulmonary Disease, Lung, Respiratory, Actigraphy, Age Factors, Aged, Agnosia, Body Mass Index, Cluster Analysis, Cross-Sectional Studies, Dyspnea, Exercise, Female, Forced Expiratory Volume, Humans, Male, Middle Aged, Principal Component Analysis, Pulmonary Disease, Chronic Obstructive, Sedentary Behavior, Severity of Illness Index, outcome assessment (healthcare), physical activity, anzsrc-for: 1102 Cardiorespiratory Medicine and Haematology, anzsrc-for: 1103 Clinical Sciences |
| الوصف: | 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 [FEV1], 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 FEV1, 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. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | unknown |
| العلاقة: | http://hdl.handle.net/1959.4/unsworks_63182Test; https://unsworks.unsw.edu.au/bitstreams/fb8b9776-2374-4201-bb52-b046cc162c30/downloadTest; https://doi.org/10.1177/1479972316687207Test |
| DOI: | 10.1177/1479972316687207 |
| الإتاحة: | https://doi.org/10.1177/1479972316687207Test http://hdl.handle.net/1959.4/unsworks_63182Test https://unsworks.unsw.edu.au/bitstreams/fb8b9776-2374-4201-bb52-b046cc162c30/downloadTest |
| حقوق: | open access ; https://purl.org/coar/access_right/c_abf2Test ; CC BY-NC ; https://creativecommons.org/licenses/by-nc/4.0Test/ ; free_to_read |
| رقم الانضمام: | edsbas.7C68B441 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/1479972316687207 |
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