Patterns of physical activity progression in patients with COPD
dc.contributor.author | Koreny, Maria | |
dc.contributor.author | Demeyer, Heleen | |
dc.contributor.author | Benet, Marta | |
dc.contributor.author | Arbillaga Etxarri, Ane | |
dc.contributor.author | Balcells, Eva | |
dc.contributor.author | Barberan-Garcia, Anael | |
dc.contributor.author | Gimeno-Santos, Elena | |
dc.contributor.author | Hopkinson, Nicholas S. | |
dc.contributor.author | Jong, Corina de | |
dc.contributor.author | Karlsson, Niklas | |
dc.contributor.author | Louvaris, Zafeiris | |
dc.contributor.author | Polkey, Michael I. | |
dc.contributor.author | Puhan, Milo A. | |
dc.contributor.author | Rabinovich, Roberto A. | |
dc.contributor.author | Rodríguez-Roisin, Robert | |
dc.contributor.author | Vall-Casas, Pere | |
dc.contributor.author | Vogiatzis, Ioannis | |
dc.contributor.author | Troosters, Thierry | |
dc.contributor.author | Garcia-Aymerich, Judith | |
dc.date.accessioned | 2024-11-11T10:50:04Z | |
dc.date.available | 2024-11-11T10:50:04Z | |
dc.date.issued | 2021-03 | |
dc.date.updated | 2024-11-11T10:50:04Z | |
dc.description.abstract | Introduction: Although mean physical activity in COPD patients declines by 400–500 steps/day annually, it is unknown whether the natural progression is the same for all patients. We aimed to identify distinct physical activity progression patterns using a hypothesis-free approach and to assess their determinants. Methods: We pooled data from two cohorts (usual care arm of Urban Training [NCT01897298] and PROactive initial validation [NCT01388218] studies) measuring physical activity at baseline and 12 months (Dynaport MoveMonitor). We identified clusters (patterns) of physical activity progression (based on levels and changes of steps/day) using k-means, and compared baseline sociodemographic, interpersonal, environmental, clinical and psychological characteristics across patterns. Results: In 291 COPD patients (mean ± SD 68 ± 8 years, 81% male, FEV1 59 ± 19%pred) we identified three distinct physical activity progression patterns: Inactive (n = 173 [59%], baseline: 4621 ± 1757 steps/day, 12-month change (Δ): −487 ± 1201 steps/day), Active Improvers (n = 49 [17%], baseline: 7727 ± 3275 steps/day, Δ: + 3378 ± 2203 steps/day) and Active Decliners (n = 69 [24%], baseline: 11 267 ± 3009 steps/day, Δ: −2217 ± 2085 steps/day). After adjustment in a mixed multinomial logistic regression model using Active Decliners as reference pattern, a lower 6-min walking distance (RRR [95% CI] 0.94 [0.90–0.98] per 10 m, P =.001) and a higher mMRC dyspnea score (1.71 [1.12–2.60] per 1 point, P =.012) were independently related with being Inactive. No baseline variable was independently associated with being an Active Improver. Conclusions: The natural progression in physical activity over time in COPD patients is heterogeneous. While Inactive patients relate to worse scores for clinical COPD characteristics, Active Improvers and Decliners cannot be predicted at baseline. | en |
dc.description.abstract | Introducción: Aunque la actividad física en pacientes con EPOC declina una media anual de 400-500 pasos/día, se desconoce si esta progresión es igual en todos los pacientes. Este estudio pretendió identificar los patrones de progresión de la actividad física mediante métodos libres de hipótesis y evaluar sus determinantes. Métodos: Se estudiaron 291 pacientes con EPOC estable (media ± DE: 68 ± 8 a ˜nos, 81% hombres, VEMS 59 ± 19% pred ) de dos cohortes europeas con actividad física basal y a 12 meses (acelerómetro Dynaport MoveMonitor). Se identificaron conglomerados (patrones) de progresión de actividad física basados en los niveles y cambios de pasos/día usando k-means, y se compararon entre patrones las características sociodemográficas, interpersonales, ambientales, clínicas y psicosociales basales. Resultados: Se identificaron tres patrones: inactivo (n = 173 [59%], basal: 4.621 ± 1.757 pasos/día, cam-bio en 12 meses ( ): −487 ± 1.201 pasos/día), activo que aumenta (n = 49 [17%], basal: 7.727 ± 3.275 pasos/día, : +3.378 ± 2.203 pasos/día) y activo que reduce (n = 69 [24%], basal: 11.267 ± 3.009 pasos/día, Δ: −2.217 ± 2.085 pasos/día). La distancia en la prueba de la marcha de 6 minutos (6MWD) y la disnea se asociaron independientemente con ser inactivo: RRR [IC 95%] 0,94 [0,90-0,98] por cada 10 m de 6MWD (p = 0,001) y 1,71 [1,12-2,60] por cada punto en la escala mMRC (p = 0,012), respectivamente, en comparación con el patrón activo que reduce. No se encontraron variables basales independientemente asociadas con ser activo que aumenta. Conclusiones: La progresión natural de la actividad física en pacientes con EPOC es heterogénea. Mientras que el patrón de pacientes inactivo se relaciona con peores características clínicas de EPOC, no se pudo predecir la evolución de los activos a aumentar o reducir | es |
dc.description.sponsorship | The Urban Training study was funded by grants from Fondo de Investigación Sanitaria, Instituto de Salud Carlos III (ISCIII, PI11/01283 and PI14/0419), integrated into Plan Estatal I+D+I 2013–2016 and co-funded by ISCIII-Subdirección General de Evaluación y Fomento de la Investigación and Fondo Europeo de Desarrollo Regional (FEDER) ; Sociedad Española de Neumología y Cirugía Torácica (SEPAR, 147/2011 and 201/2011), Societat Catalana de Pneumologia (Ajuts al millor projecte en fisioteràpia respiratòria 2013). We acknowledge support from the Spanish Ministry of Science and Innovation through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program | en |
dc.identifier.citation | Koreny, M., Demeyer, H., Benet, M., Arbillaga-Etxarri, A., Balcells, E., Barberan-Garcia, A., Gimeno-Santos, E., Hopkinson, N. S., De Jong, C., Karlsson, N., Louvaris, Z., Polkey, M. I., Puhan, M. A., Rabinovich, R. A., Rodríguez-Roisin, R., Vall-Casas, P., Vogiatzis, I., Troosters, T., Garcia-Aymerich, J., et al. (2021). Patterns of Physical Activity Progression in Patients With COPD. Archivos de Bronconeumologia, 57(3), 214-223. https://doi.org/10.1016/J.ARBRES.2020.08.001 | |
dc.identifier.doi | 10.1016/J.ARBRES.2020.08.001 | |
dc.identifier.issn | 1579-2129 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14454/1739 | |
dc.language.iso | spa | |
dc.publisher | Elsevier Doyma | |
dc.rights | © 2020 SEPAR | |
dc.subject.other | Cluster analysis | |
dc.subject.other | COPD | |
dc.subject.other | Determinants | |
dc.subject.other | Patterns of progression | |
dc.subject.other | Physical activity | |
dc.subject.other | EPOC | |
dc.subject.other | Actividad física | |
dc.subject.other | Patrones de progresión | |
dc.subject.other | Análisis de conglomerados | |
dc.subject.other | Determinantes | |
dc.title | Patterns of physical activity progression in patients with COPD | en |
dc.title.alternative | Patrones de progresión de la actividad física en pacientes con EPOC | es |
dc.type | journal article | |
dcterms.accessRights | metadata only access | |
oaire.citation.endPage | 223 | |
oaire.citation.issue | 3 | |
oaire.citation.startPage | 214 | |
oaire.citation.title | Archivos de Bronconeumologia | |
oaire.citation.volume | 57 |