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Physical activity patterns and clusters in 1001 patients with COPD

التفاصيل البيبلوغرافية
العنوان: Physical activity patterns and clusters in 1001 patients with COPD
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, WD-C, Clarenbach, CF, Hernandes, NA, Savi, D, Wootton, S, Furlanetto, KC, Ng, LWC, Vaes, AW, Jenkins, C, Eastwood, PR, Jarreta, D, Kirsten, A, Brooks, D, Hillman, DR, Sant'Anna, T, Meijer, K, Durr, S, Rutten, EPA, Kohler, M, Probst, VS, Tal-Singer, R, Garcia Gil, E, 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
المساهمون: Medical Research Council (MRC), EU/IMI Joint Undertaking
المصدر: 269 ; 256
بيانات النشر: SAGE Publications (UK and US)
سنة النشر: 2016
المجموعة: Imperial College London: Spiral
مصطلحات موضوعية: Science & Technology, Life Sciences & Biomedicine, Respiratory System, Chronic obstructive pulmonary disease, physical activity, outcome assessment (healthcare), principal component analysis, cluster analysis, OBSTRUCTIVE PULMONARY-DISEASE, RANDOMIZED-CONTROLLED-TRIAL, DAILY ENERGY-EXPENDITURE, OLDER-ADULTS, SEDENTARY TIME, WEIGHT STATUS, DAILY-LIFE, EXERCISE, REHABILITATION, BEHAVIOR, 1102 Cardiovascular Medicine And Haematology, 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
اللغة: English
تدمد: 1479-9723
العلاقة: Chronic Respiratory Disease; http://hdl.handle.net/10044/1/56906Test; https://dx.doi.org/10.1177/1479972316687207Test; G0701628; G0701628/1
DOI: 10.1177/1479972316687207
الإتاحة: https://doi.org/10.1177/1479972316687207Test
http://hdl.handle.net/10044/1/56906Test
حقوق: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0Test/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sageTest).
رقم الانضمام: edsbas.12A90860
قاعدة البيانات: BASE
الوصف
تدمد:14799723
DOI:10.1177/1479972316687207