Evidence map›Paper›PMID 32814851›Full record

ArticleEuropean journal of clinical nutrition2021

Estimating total daily energy requirements in community-dwelling older adults: validity of previous predictive equations and modeling of a new approach.

Lais Duarte Batista, Natasha Aparecida Grande De França, Karina Pfrimer, Mariane de Mello Fontanelli, Eduardo Ferriolli, Regina Mara Fisberg

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Article in European journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lais Duarte BatistaDepartment of Nutrition, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, Cerqueira Cesar, São Paulo, SP, Brazil.
Natasha Aparecida Grande De FrançaDepartment of Nutrition, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, Cerqueira Cesar, São Paulo, SP, Brazil.
Karina PfrimerDepartment of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Mariane de Mello FontanelliDepartment of Nutrition, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, Cerqueira Cesar, São Paulo, SP, Brazil.
Eduardo FerriolliDepartment of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, Brazil.
Regina Mara FisbergDepartment of Nutrition, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, Cerqueira Cesar, São Paulo, SP, Brazil. rfisberg@usp.br.

Funding

Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 134149/2018-1Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 301597/2017-0Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 402674/2016-2Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 472873/2012-1Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 481176/2008-0Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 502948/2003-5Ministry of Science, Technology and Innovation | National Council for Scientific and Technological Development | Instituto Nacional de Ciência e Tecnologia da Criosfera (National Institute of Science and Technology of the Cryosphere) 473100/2009-6
6 · The paper itself

Abstract

BACKGROUND/

objectivesAccurate estimation of energy requirements is crucial for health maintenance and prevention of malnutrition in older adults. This study aimed to assess the accuracy of predictive equations for estimating energy requirements in older adults and to test the validity of new predictive equations for this age group. SUBJECTS/

methodsThis is a cross-sectional study including 38 Brazilian community-dwelling older adults aged 60-84 years, who had their total energy expenditure measured by doubly labeled water (TEE

resultsThe mean (standard deviation) TEE

conclusionsThe results corroborate the use of previous predictive equations for estimating energy requirements in Brazilian older adults. Further studies have the potential to explore the use of the developed models to assess energy needs in this population.

Indexed as

Energy MetabolismIndependent LivingAgedBasal MetabolismBrazilCalorimetry, IndirectCross-Sectional StudiesFemaleHumansMaleNutritional Requirements

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Registered trials

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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.