Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2015 Nov;96(11):2079-88.e10.
doi: 10.1016/j.apmr.2015.05.015. Epub 2015 Jun 3.

Physical Activity Measurement Accuracy in Individuals With Chronic Lung Disease: A Systematic Review With Meta-Analysis of Method Comparison Studies

Affiliations
Meta-Analysis

Physical Activity Measurement Accuracy in Individuals With Chronic Lung Disease: A Systematic Review With Meta-Analysis of Method Comparison Studies

Satvir S Dhillon et al. Arch Phys Med Rehabil. 2015 Nov.

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.

Keywords: Cystic fibrosis; Exercise; Physical exertion; Pulmonary disease, chronic obstructive; Rehabilitation; Validation studies as topic.

PubMed Disclaimer

MeSH terms

LinkOut - more resources