Article

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.
CI - Copyright (c) 2015 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS