ArticleInternational journal of chronic obstructive pulmonary disease2015
Predicting energy requirement with pedometer-determined physical-activity level in women with chronic obstructive pulmonary disease.
Article in International journal of chronic obstructive pulmonary disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Guideline
- Total energy expenditure in adults aged 65 years and over measured using doubly-labelled water: international data availability and opportunities for data sharing.Nutrition journal · 2018Pooled it
- Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review.BMC sports science, medicine & rehabilitation · 2023Article
- Energy expenditure and physical activity in COPD by doubly labelled water method and an accelerometer.ERJ open research · 2021Article
- The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD.Respiratory research · 2021Article
- Impact of a High Protein Intake on the Plasma Metabolome in Elderly Males: 10 Week Randomized Dietary Intervention.Frontiers in nutrition · 2019Article
- Impact of non-exercise activity thermogenesis on physical activity in patients with COPD.Science progressArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn clinical practice, in the absence of objective measures, simple methods to predict energy requirement in patients with chronic obstructive pulmonary disease (COPD) needs to be evaluated. The aim of the present study was to evaluate predicted energy requirement in females with COPD using pedometer-determined physical activity level (PAL) multiplied by resting metabolic rate (RMR) equations.
methodsEnergy requirement was predicted in 18 women with COPD using pedometer-determined PAL multiplied by six different RMR equations (Harris-Benedict; Schofield; World Health Organization; Moore; Nordic Nutrition Recommendations; Nordenson). Total energy expenditure (TEE) was measured by the criterion method: doubly labeled water. The predicted energy requirement was compared with measured TEE using intraclass correlation coefficient (ICC) and Bland-Altman analyses.
resultsThe energy requirement predicted by pedometer-determined PAL multiplied by six different RMR equations was within a reasonable accuracy (±10%) of the measured TEE for all equations except one (Nordenson equation). The ICC values between the criterion method (TEE) and predicted energy requirement were: Harris-Benedict, ICC =0.70, 95% confidence interval (CI) 0.23-0.89; Schofield, ICC =0.71, 95% CI 0.21-0.89; World Health Organization, ICC =0.74, 95% CI 0.33-0.90; Moore, ICC =0.69, 95% CI 0.21-0.88; Nordic Nutrition Recommendations, ICC =0.70, 95% CI 0.17-0.89; and Nordenson, ICC =0.40, 95% CI -0.19 to 0.77. Bland-Altman plots revealed no systematic bias for predicted energy requirement except for Nordenson estimates.
conclusionFor clinical purposes, in absence of objective methods such as doubly labeled water method and motion sensors, energy requirement can be predicted using pedometer-determined PAL and common RMR equations. However, for assessment of nutritional status and for the purpose of giving nutritional treatment, a clinical judgment is important regarding when to accept a predicted energy requirement both at individual and group levels.
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