SynthesisClinical nutrition (Edinburgh, Scotland)2021
Prediction of resting energy expenditure in healthy older adults: A systematic review.
Synthesis in Clinical nutrition (Edinburgh, Scotland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 36 citations in OpenAlex.
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- Bias Characterization of Resting Energy Expenditure Prediction Equations in Japanese Subjects: A Pilot Exploratory Study.Nutrients · 2026Article
- Article
- Body Composition's Association with Resting Energy Expenditure Prediction in a Large Population Sample from Different Age Groups, Sex, and Physical Activity Levels.Journal of functional morphology and kinesiology · 2026Article
- Resting Energy Expenditure in Adults With Williams Syndrome: Comparative Accuracy of Predictive Equations.Journal of intellectual disability research : JIDR · 2026Article
- Applicability of resting energy expenditure prediction equations in Chinese nursing home residents.Frontiers in nutrition · 2026Article
- Resting energy expenditure in adults with nonalcoholic fatty liver disease and type 2 diabetes mellitus: comparison between measured and predicted values.BMC gastroenterology · 2025Article
- Energy and protein intake adequacy in geriatric rehabilitation inpatients: A descriptive cohort study.JPEN. Journal of parenteral and enteral nutrition · 2025Article
- Novel Resting Energy Expenditure Prediction Equations for Multi-Ethnic Asian Older Adults with Multimorbidity.Nutrients · 2025Article
- A Personalized Energy Expenditure Estimation Method Using Modified MET and Heart Rate-Based DQN.Sensors (Basel, Switzerland) · 2025Article
- Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks.Sensors (Basel, Switzerland) · 2024Article
- Combined low-carbohydrate diet and long-term exercise in hypoxia in type 2 diabetes: A randomized controlled trial protocol to assess glycemic control, cardiovascular risk factors and body composition.Nutrition and health · 2024Article
- Predicting resting energy expenditure among athletes: a systematic review.Biology of sport · 2023Review
- Development and validation of new predictive equations for the resting metabolic rate of older adults aged ≥65 y.The American journal of clinical nutrition · 2023Article
- Nutrition Intervention Informed by Indirect Calorimetry Compared to Predictive Equations to Achieve Weight Goals in Geriatric Rehabilitation Inpatients: The NEED Study.The journal of nutrition, health & aging · 2023Article
- Prediction of resting energy expenditure in Italian older adults with severe obesity.Frontiers in endocrinology · 2023Article
- Resting Energy Expenditure in Older Inpatients: A Comparison of Prediction Equations and Measurements.Nutrients · 2022Article
- Determinants of Resting Energy Expenditure in Very Old Nursing Home Residents.The journal of nutrition, health & aging · 2022Article
- Validation of Resting Energy Expenditure Equations in Older Adults with Obesity.Journal of nutrition in gerontology and geriatricsArticle
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND &
aimsEstimates of energy requirements, based on measured or predicted resting energy expenditure (REE), are needed to avoid undernutrition or overnutrition (and their clinical consequences) in elderly subjects. The aims of this systematic review were to evaluate the prediction accuracy of REE in healthy elderly subjects and to ascertain which equation is more reliable at group level and/or individual level.
methodsStudies assessing prediction of REE in general elderly population were systematically searched using PubMed, EMBASE, Web of Science and CINAHL until March 2020. Prediction accuracy of REE was assessed at both group (bias) and individual (precision) level for each equation.
resultsFourteen studies met the inclusion criteria of this systematic review. Bias was reported in 8 papers and calculated in another 5 from absolute values. There was a prevalent tendency towards an overestimation of REE across the studies. The least bias was observed for the Mifflin (-0.3%) and Harris-Benedict (+2.6%) equations, with values above 5% for the FAO/WHO/UNU, Fredrix and Muller equations. Precision widely varied between studies for the same equation. The higher precision was observed using the Harris-Benedict equation (~70%), while the Henry and Mifflin equations provided estimates within 10% of measured values in 65% and 61% of elderly individuals, respectively.
conclusionsNone of the prediction equations considered provides accurate and precise REE estimates in healthy older adults. However, the best prediction is given by the Mifflin equation at group level and by the Harris-Benedict equation at individual level. Further studies with strong quality design are needed to evaluate the variability and accuracy of REE in the elderly general population.
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