Satvir S Dhillon1, Carmen A Sima1, Ashley R Kirkham2, Nafeez Syed1, Pat G Camp3. 1. Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada; Rehabilitation Sciences Graduate Program, University of British Columbia, Vancouver, BC, Canada. 2. Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada. 3. Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada; Rehabilitation Sciences Graduate Program, University of British Columbia, Vancouver, BC, Canada; Department of Physical Therapy, University of British Columbia, Vancouver, BC, Canada. Electronic address: Pat.Camp@hli.ubc.ca.
Abstract
OBJECTIVE: To investigate the accuracy of physical activity measurement strategies in adults with chronic lung disease. DATA SOURCES: MEDLINE, Embase, and CINAHL databases were searched from inception to September 30, 2014. STUDY SELECTION: Studies reporting validity data for devices measuring energy expenditure in comparison with indirect calorimetry or doubly labeled water measurements in chronic lung disease were included. Nine publications in chronic obstructive pulmonary disease (COPD) or cystic fibrosis (CF) from 2294 studies were identified. DATA EXTRACTION: Two reviewers evaluated studies for quality using a modified version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) checklist and extracted data relating to population, setting, devices, activity protocols, and energy expenditure. Disagreements were resolved by consensus. DATA SYNTHESIS: Studies were of high quality, with 8 studies scoring at least 9 out of 11 on the QUADAS checklist. In laboratory-based settings, the SenseWear multisensor accurately estimated energy expenditure during walking compared with indirect calorimetry (pooled mean difference, -0.7 kcal/min; 95% confidence interval [CI], -2.5 to 1.1) in COPD, but overestimated it in CF. However, 2 studies in COPD and CF showed the SenseWear multisensor accurately estimated energy expenditure during lifestyle tasks compared with indirect calorimetry (pooled mean difference, .18 kcal/min; 95% CI, -.13 to .49). The Digi-Walker pedometer underestimated energy expenditure compared with indirect calorimetry in COPD (mean difference walking, -2.4 kcal/min; 95% CI -3.4 to -1.1; mean difference lifestyle tasks, -2.3 kcal/min; 95% CI, -2.8 to -1.8). In free-living settings, the ActiReg multisensor accurately measured energy expenditure in COPD (mean difference, -21 kcal/d; 95% CI, -133.9 to 91.9), whereas the Flex Heart Rate Method underestimated energy expenditure in CF (mean difference, -454.1 kcal/d; 95% CI, -727 to -181.2). CONCLUSIONS: Energy expenditure estimation was accurate from the SenseWear and ActiReg multisensors during laboratory-based and free-living testing. Future studies warrant investigation of activity measures in other lung diseases and in specific ranges of lung disease severity.
OBJECTIVE: To investigate the accuracy of physical activity measurement strategies in adults with chronic lung disease. DATA SOURCES: MEDLINE, Embase, and CINAHL databases were searched from inception to September 30, 2014. STUDY SELECTION: Studies reporting validity data for devices measuring energy expenditure in comparison with indirect calorimetry or doubly labeled water measurements in chronic lung disease were included. Nine publications in chronic obstructive pulmonary disease (COPD) or cystic fibrosis (CF) from 2294 studies were identified. DATA EXTRACTION: Two reviewers evaluated studies for quality using a modified version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) checklist and extracted data relating to population, setting, devices, activity protocols, and energy expenditure. Disagreements were resolved by consensus. DATA SYNTHESIS: Studies were of high quality, with 8 studies scoring at least 9 out of 11 on the QUADAS checklist. In laboratory-based settings, the SenseWear multisensor accurately estimated energy expenditure during walking compared with indirect calorimetry (pooled mean difference, -0.7 kcal/min; 95% confidence interval [CI], -2.5 to 1.1) in COPD, but overestimated it in CF. However, 2 studies in COPD and CF showed the SenseWear multisensor accurately estimated energy expenditure during lifestyle tasks compared with indirect calorimetry (pooled mean difference, .18 kcal/min; 95% CI, -.13 to .49). The Digi-Walker pedometer underestimated energy expenditure compared with indirect calorimetry in COPD (mean difference walking, -2.4 kcal/min; 95% CI -3.4 to -1.1; mean difference lifestyle tasks, -2.3 kcal/min; 95% CI, -2.8 to -1.8). In free-living settings, the ActiReg multisensor accurately measured energy expenditure in COPD (mean difference, -21 kcal/d; 95% CI, -133.9 to 91.9), whereas the Flex Heart Rate Method underestimated energy expenditure in CF (mean difference, -454.1 kcal/d; 95% CI, -727 to -181.2). CONCLUSIONS: Energy expenditure estimation was accurate from the SenseWear and ActiReg multisensors during laboratory-based and free-living testing. Future studies warrant investigation of activity measures in other lung diseases and in specific ranges of lung disease severity.