Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data

Judi Porter; Kay Nguo; Jorja Collins; Nicole Kellow; Catherine E Huggins; Simone Gibson; Zoe Davidson; Dale Schoeller; Ross Prentice; Marian L Neuhouser; Linda Snetselaar; Helen Truby

doi:10.1093/ajcn/nqz200

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Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data

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Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data

Judi Porter, Kay Nguo, Jorja Collins, Nicole Kellow, Catherine E Huggins, Simone Gibson, Zoe Davidson, Dale Schoeller, Ross Prentice, Marian L Neuhouser, …

The American journal of clinical nutrition, Vol.110(6), pp.1353-1361

12/01/2019

DOI: 10.1093/ajcn/nqz200

PMCID: PMC6885473

PMID: 31504100

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Abstract

ABSTRACT Background Contemporary energy expenditure data are crucial to inform and guide nutrition policy in older adults to optimize nutrition and health. Objective The aim was to determine the optimal method of estimating total energy expenditure (TEE) in adults (aged ≥65 y) through 1) establishing which published predictive equations have the closest agreement between measured resting metabolic rate (RMR) and predicted RMR and 2) utilizing the RMR equations with the best agreement to predict TEE against the reference method of doubly labeled water (DLW). Methods A database consisting of international participant-level TEE data from DLW studies was developed to enable comparison with energy requirements estimated by 17 commonly used predictive equations. This database included 31 studies comprising 988 participant-level RMR data and 1488 participant-level TEE data. Mean physical activity level (PAL) was determined for men (PAL = 1.69, n = 320) and women (PAL = 1.66, n = 668). Bland–Altman plots assessed agreement of measured RMR and TEE with predicted RMR and TEE in adults aged ≥65 y, and subgroups of 65–79 y and ≥80 y. Linear regression assessed proportional bias. Results The Ikeda, Livingston, and Mifflin equations most closely agreed with measured RMR and TEE in all adults aged ≥65 y and in the 65–79 y and ≥80 y subgroups. In adults aged ≥65 y, the Ikeda and Livingston equations overestimated TEE by a mean ± SD of 175 ± 1362 kJ/d and 86 ± 1344 kJ/d, respectively. The Mifflin equation underestimated TEE by a mean ± SD of 24 ± 1401 kJ/d. Proportional bias was present as energy expenditure increased. Conclusions The Ikeda, Livingston, or Mifflin equations are recommended for estimating energy requirements of older adults. Future research should focus on developing predictive equations to meet the requirements of the older population with consideration given to body composition and functional measures.

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Title: Subtitle: Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data
Creators: Judi Porter - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia, Allied Health Clinical Research Office, Eastern Health, Box Hill, Victoria, Australia
Kay Nguo - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Jorja Collins - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Nicole Kellow - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Catherine E Huggins - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Simone Gibson - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Zoe Davidson - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Dale Schoeller - Nutritional Sciences and Biotechnology Center, University of Wisconsin–Madison, Madison, WI, USA
Ross Prentice - Fred Hutchinson Cancer Research Center and School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA
Marian L Neuhouser - Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
Linda Snetselaar - College of Public Health, University of Iowa, Iowa City, IA, USA
Helen Truby - Department of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia
Resource Type: Journal article
Publication Details: The American journal of clinical nutrition, Vol.110(6), pp.1353-1361
DOI: 10.1093/ajcn/nqz200
PMID: 31504100
PMCID: PMC6885473
ISSN: 0002-9165
eISSN: 1938-3207
Grant note: DOI: 10.13039/100000050, name: National Heart, Lung, and Blood Institute; DOI: 10.13039/100000002, name: National Institutes of Health; DOI: 10.13039/100000016, name: US Department of Health and Human Services, award: HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, HHSN268201600004C, R01 CA119171; DOI: 10.13039/100009717, name: Eastern Health Foundation; name: Monash University Vacation Scholarship
Language: English
Date published: 12/01/2019
Academic Unit: Epidemiology; Fraternal Order of Eagles Diabetes Research Center; Internal Medicine
Record Identifier: 9984215148202771

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