Evidence map›Paper›PMID 31504100›Full record

ArticleThe American journal of clinical nutrition2019

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 and 2 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Judi PorterDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Kay NguoDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Jorja CollinsDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Nicole KellowDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Catherine E HugginsDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Simone GibsonDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Zoe DavidsonDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Dale SchoellerNutritional Sciences and Biotechnology Center, University of Wisconsin-Madison, Madison, WI, USA.
Ross PrenticeFred Hutchinson Cancer Research Center and School of Public Health and Community Medicine, University of Washington, Seattle, WA, USA.
Marian L NeuhouserDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Linda SnetselaarCollege of Public Health, University of Iowa, Iowa City, IA, USA.
Helen TrubyDepartment of Nutrition, Dietetics, and Food, Monash University, Notting Hill, Victoria, Australia.
Monash University · AUEastern Health · AUFred Hutch Cancer Center · USUniversity of Iowa · USUniversity of Washington · USUniversity of Wisconsin–Madison · US

Funding

Nutrition and Physical Activity Assessment Study (NPAAS)R01CA119171 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian L Neuhouser · 2006 to 2026
$14.3M
NCI NIH HHS R01 CA119171NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018C
6 · The paper itself

Abstract

backgroundContemporary energy expenditure data are crucial to inform and guide nutrition policy in older adults to optimize nutrition and health.

objectiveThe 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).

methodsA 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Energy MetabolismAgedAged, 80 and overAgingBasal MetabolismBody CompositionExerciseFemaleHumansMaleWaterWaterdoubly labeled waterelderlynutritionresting energy expendituretotal energy expenditure

Identifiers

PMID31504100
PMCPMC6885473
OpenAlexW2970686107

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.