Unknown

Dataset Information

0

Physical activity patterns and clusters in 1001 patients with COPD.


ABSTRACT: 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.

SUBMITTER: Mesquita R 

PROVIDER: S-EPMC5720232 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

altmetric image

Publications

Physical activity patterns and clusters in 1001 patients with COPD.

Mesquita Rafael R   Spina Gabriele G   Pitta Fabio F   Donaire-Gonzalez David D   Deering Brenda M BM   Patel Mehul S MS   Mitchell Katy E KE   Alison Jennifer J   van Gestel Arnoldus Jr AJ   Zogg Stefanie S   Gagnon Philippe P   Abascal-Bolado Beatriz B   Vagaggini Barbara B   Garcia-Aymerich Judith J   Jenkins Sue C SC   Romme Elisabeth Apm EA   Kon Samantha Sc SS   Albert Paul S PS   Waschki Benjamin B   Shrikrishna Dinesh D   Singh Sally J SJ   Hopkinson Nicholas S NS   Miedinger David D   Benzo Roberto P RP   Maltais François F   Paggiaro Pierluigi P   McKeough Zoe J ZJ   Polkey Michael I MI   Hill Kylie K   Man William D-C WD   Clarenbach Christian F CF   Hernandes Nidia A NA   Savi Daniela D   Wootton Sally S   Furlanetto Karina C KC   Cindy Ng Li W LW   Vaes Anouk W AW   Jenkins Christine C   Eastwood Peter R PR   Jarreta Diana D   Kirsten Anne A   Brooks Dina D   Hillman David R DR   Sant'Anna Thaís T   Meijer Kenneth K   Dürr Selina S   Rutten Erica Pa EP   Kohler Malcolm M   Probst Vanessa S VS   Tal-Singer Ruth R   Gil Esther Garcia EG   den Brinker Albertus C AC   Leuppi Jörg D JD   Calverley Peter Ma PM   Smeenk Frank Wjm FW   Costello Richard W RW   Gramm Marco M   Goldstein Roger R   Groenen Miriam Tj MT   Magnussen Helgo H   Wouters Emiel Fm EF   ZuWallack Richard L RL   Amft Oliver O   Watz Henrik H   Spruit Martijn A MA  

Chronic respiratory disease 20170224 3


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<sub>1</sub>], 49% predicted) were studied cross-sectionally. Demographics, anthropometrics, lung function and clini  ...[more]

Similar Datasets

| S-EPMC7225798 | biostudies-literature
| S-EPMC10450459 | biostudies-literature
| S-EPMC7492981 | biostudies-literature
| S-EPMC4849755 | biostudies-literature
| S-EPMC3508328 | biostudies-literature
| S-EPMC4910613 | biostudies-literature
| S-EPMC5937578 | biostudies-literature
| S-EPMC4112490 | biostudies-other
| S-EPMC6333152 | biostudies-literature
| S-EPMC5738536 | biostudies-literature