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1. Patterns of Physical Activity Progression in Patients With COPD

Author

Arbillaga-Etxarri, Ane, Benet, Marta, Delgado, Anna, Garcia-Aymerich, Judith, Gimeno-Santos, Elena, Torrent-Pallicer, Jaume, Vilaró, Jordi, Barberan-Garcia, Anael, Rodriguez-Roisín, Robert, Balcells, Eva, Chiaradía, Diego A Rodríguez, Marín, Alicia, Ortega, Pilar, Celorrio, Nuria, Monteagudo, Mónica, Montellà, Nuria, Muñoz, Laura, Toran, Pere, Simonet, Pere, Janèc), Carme, Martín-Cantera, Carlos, Borrell, Eulàlia, Vall-Casas, Pere, Ivanoff, Nathalie, Karlsson, Niklas, Corriol-Rohou, Solange, Jarrod, Ian, Erzen, Damijen, Brindicci, Caterina, Higenbottam, Tim, Scuri, Mario, McBride, Paul, Kamel, Nadia, Tabberer, Margaret, Troosters, Thierry, Dobbels, Fabienne, de Boer, Pim, Kulich, Karoly, Glendenning, Alastair, Rudell, Katja, Wilson, Frederick J., Polkey, Michael I., Hopkinson, Nick S., Vogiatzis, Ioannis, Nikai, Enkeleida, van der Molen, Thys, De Jong, Corina, Rabinovich, Roberto A., MacNee, Bill, Puhan, Milo A., Frei, Anja, Koreny, Maria, Demeyer, Heleen, Hopkinson, Nicholas S., Louvaris, Zafeiris, and Rodríguez-Roisin, Robert

Published
2021
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2. Patterns of Physical Activity Progression in Patients With COPD

Author

Koreny, Maria, primary, Demeyer, Heleen, additional, Benet, Marta, additional, Arbillaga-Etxarri, Ane, additional, Balcells, Eva, additional, Barberan-Garcia, Anael, additional, Gimeno-Santos, Elena, additional, Hopkinson, Nicholas S., additional, De Jong, Corina, additional, Karlsson, Niklas, additional, Louvaris, Zafeiris, additional, Polkey, Michael I., additional, Puhan, Milo A., additional, Rabinovich, Roberto A., additional, Rodríguez-Roisin, Robert, additional, Vall-Casas, Pere, additional, Vogiatzis, Ioannis, additional, Troosters, Thierry, additional, Garcia-Aymerich, Judith, additional, Delgado, Anna, additional, Torrent-Pallicer, Jaume, additional, Vilaró, Jordi, additional, Rodriguez-Roisín, Robert, additional, Chiaradía, Diego A Rodríguez, additional, Marín, Alicia, additional, Ortega, Pilar, additional, Celorrio, Nuria, additional, Monteagudo, Mónica, additional, Montellà, Nuria, additional, Muñoz, Laura, additional, Toran, Pere, additional, Simonet, Pere, additional, Jané, Carme, additional, Martín-Cantera, Carlos, additional, Borrell, Eulàlia, additional, Ivanoff, Nathalie, additional, Corriol-Rohou, Solange, additional, Jarrod, Ian, additional, Erzen, Damijen, additional, Brindicci, Caterina, additional, Higenbottam, Tim, additional, Scuri, Mario, additional, McBride, Paul, additional, Kamel, Nadia, additional, Tabberer, Margaret, additional, Dobbels, Fabienne, additional, de Boer, Pim, additional, Kulich, Karoly, additional, Glendenning, Alastair, additional, Rudell, Katja, additional, Wilson, Frederick J., additional, Hopkinson, Nick S., additional, Nikai, Enkeleida, additional, van der Molen, Thys, additional, MacNee, Bill, additional, and Frei, Anja, additional

Published
2021
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5. Validity of activity monitors in health and chronic disease: a systematic review

Author

Van Remoortel Hans, Giavedoni Santiago, Raste Yogini, Burtin Chris, Louvaris Zafeiris, Gimeno-Santos Elena, Langer Daniel, Glendenning Alastair, Hopkinson Nicholas S, Vogiatzis Ioannis, Peterson Barry T, Wilson Frederick, Mann Bridget, Rabinovich Roberto, Puhan Milo A, and Troosters Thierry

Subjects
Chronic diseases, Doubly labelled water, Indirect calorimetry, Activity monitoring, Physical activity, Validation study, Systematic review, Nutritional diseases. Deficiency diseases, RC620-627, Public aspects of medicine, RA1-1270
Abstract

Abstract The assessment of physical activity in healthy populations and in those with chronic diseases is challenging. The aim of this systematic review was to identify whether available activity monitors (AM) have been appropriately validated for use in assessing physical activity in these groups. Following a systematic literature search we found 134 papers meeting the inclusion criteria; 40 conducted in a field setting (validation against doubly labelled water), 86 in a laboratory setting (validation against a metabolic cart, metabolic chamber) and 8 in a field and laboratory setting. Correlation coefficients between AM outcomes and energy expenditure (EE) by the criterion method (doubly labelled water and metabolic cart/chamber) and percentage mean differences between EE estimation from the monitor and EE measurement by the criterion method were extracted. Random-effects meta-analyses were performed to pool the results across studies where possible. Types of devices were compared using meta-regression analyses. Most validation studies had been performed in healthy adults (n = 118), with few carried out in patients with chronic diseases (n = 16). For total EE, correlation coefficients were statistically significantly lower in uniaxial compared to multisensor devices. For active EE, correlations were slightly but not significantly lower in uniaxial compared to triaxial and multisensor devices. Uniaxial devices tended to underestimate TEE (−12.07 (95%CI; -18.28 to −5.85) %) compared to triaxial (−6.85 (95%CI; -18.20 to 4.49) %, p = 0.37) and were statistically significantly less accurate than multisensor devices (−3.64 (95%CI; -8.97 to 1.70) %, p

Published
2012
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6. Validity of activity monitors in health and chronic disease: a systematic review

Author

Van Remoortel, Hans, Giavedoni, Santiago, Raste, Yogini, Burtin, Chris, Louvaris, Zafeiris, Gimeno-Santos, Elena, Langer, Daniel, Glendenning, Alastair, Hopkinson, Nicholas S, Vogiatzis, Ioannis, Peterson, Barry T, Wilson, Frederick, Mann, Bridget, Rabinovich, Roberto, Puhan, Milo A, Troosters, Thierry, Van Remoortel, Hans, Giavedoni, Santiago, Raste, Yogini, Burtin, Chris, Louvaris, Zafeiris, Gimeno-Santos, Elena, Langer, Daniel, Glendenning, Alastair, Hopkinson, Nicholas S, Vogiatzis, Ioannis, Peterson, Barry T, Wilson, Frederick, Mann, Bridget, Rabinovich, Roberto, Puhan, Milo A, and Troosters, Thierry

Abstract

The assessment of physical activity in healthy populations and in those with chronic diseases is challenging. The aim of this systematic review was to identify whether available activity monitors (AM) have been appropriately validated for use in assessing physical activity in these groups. Following a systematic literature search we found 134 papers meeting the inclusion criteria; 40 conducted in a field setting (validation against doubly labelled water), 86 in a laboratory setting (validation against a metabolic cart, metabolic chamber) and 8 in a field and laboratory setting. Correlation coefficients between AM outcomes and energy expenditure (EE) by the criterion method (doubly labelled water and metabolic cart/chamber) and percentage mean differences between EE estimation from the monitor and EE measurement by the criterion method were extracted. Random-effects meta-analyses were performed to pool the results across studies where possible. Types of devices were compared using meta-regression analyses. Most validation studies had been performed in healthy adults (n=118), with few carried out in patients with chronic diseases (n=16). For total EE, correlation coefficients were statistically significantly lower in uniaxial compared to multisensor devices. For active EE, correlations were slightly but not significantly lower in uniaxial compared to triaxial and multisensor devices. Uniaxial devices tended to underestimate TEE (-12.07 (95%CI; -18.28 to -5.85) %) compared to triaxial (-6.85 (95%CI; -18.20 to 4.49) %, p=0.37) and were statistically significantly less accurate than multisensor devices (-3.64 (95%CI; -8.97 to 1.70) %, p<0.001). TEE was underestimated during slow walking speeds in 69% of the lab validation studies compared to 37%, 30% and 37% of the studies during intermediate, fast walking speed and running, respectively. The high level of heterogeneity in the validation studies is only partly explained by the type of activity monitor and the activity mo

Published
2012

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