Evidence map›Paper›PMID 32548960›Full record

SynthesisJournal of cachexia, sarcopenia and muscle2020

Prevalence of protein intake below recommended in community-dwelling older adults: a meta-analysis across cohorts from the PROMISS consortium.

Linda M Hengeveld, Jolanda M A Boer, Pierrette Gaudreau, Martijn W Heymans, Carol Jagger, Nuno Mendonça, Marga C Ocké, Nancy Presse, Stefania Sette, Eleanor M Simonsick and 5 more

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of cachexia, sarcopenia and muscle, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06157385 (The Effect of Culinary Medicine to Enhance Protein Intake on Muscle Quality in Older Adults), which is not on this map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 3% 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.

NCT06157385 nacompletednot on this mapstarted 2023, after this paper: background citation

The Effect of Culinary Medicine to Enhance Protein Intake on Muscle Quality in Older Adults

TypeinterventionalSponsorTexas Tech UniversityRan2023 to 2024Enrolled28ConditionsSarcopeniaArmsCulinary Medicine, Control
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Protein intake and bone health: an umbrella review of systematic reviews for the evidence-based guideline of the German Nutrition Society.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
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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

15 authors at 11 institutions in 8 countries.

Linda M HengeveldDepartment of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-7547-5030
Jolanda M A BoerNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Pierrette GaudreauDepartment of Medicine, University of Montreal, Montreal, Quebec, Canada.
Martijn W HeymansDepartment of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-3889-0921
Carol JaggerPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-6377-9926
Nuno MendonçaPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-7589-9901
Marga C OckéNational Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.ORCID 0000-0003-1299-6135
Nancy PresseResearch Centre on Aging, University Institute of Geriatrics of Sherbrooke, Sherbrooke, Quebec, Canada.
Stefania SetteCouncil for Agricultural Research and Economics, Research Centre for Food and Nutrition, Rome, Italy.
Eleanor M SimonsickIntramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Heli TapanainenUnit of Health Promotion, Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
Aida TurriniCouncil for Agricultural Research and Economics, Research Centre for Food and Nutrition, Rome, Italy.ORCID 0000-0002-2188-9406
Suvi M VirtanenUnit of Health Promotion, Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0001-8928-0878
Hanneke A H WijnhovenDepartment of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0001-9025-2073
Marjolein VisserDepartment of Health Sciences, Faculty of Science, Amsterdam Public Health research institute, Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-5136-298X
Department of Health · ZACereal Research Centre · ITNational Institute for Public Health and the Environment · NLAmsterdam Public Health · NLFinnish Institute for Health and Welfare · FIMontreal General Hospital · CANational Institute on Aging · USNewcastle University · GBTampere University · FIUniversidade Nova de Lisboa · PTUniversité de Sherbrooke · CA

Funding

Medical Research Council G0500997Medical Research Council MR/J50001X/1
6 · The paper itself

Abstract

backgroundLower protein intake in older adults is associated with loss of muscle mass and strength. The present study aimed to provide a pooled estimate of the overall prevalence of protein intake below recommended (according to different cut-off values) among community-dwelling older adults, both within the general older population and within specific subgroups.

methodsAs part of the PRevention Of Malnutrition In Senior Subjects in the EU (PROMISS) project, a meta-analysis was performed using data from four cohorts (from the Netherlands, UK, Canada, and USA) and four national surveys [from the Netherlands, Finland (two), and Italy]. Within those studies, data on protein and energy intake of community-dwelling men and women aged ≥55 years were obtained by either a food frequency questionnaire, 24 h recalls administered on 2 or 3 days, or food diaries administered on 3 days. Protein intake below recommended was based on the recommended dietary allowance of 0.8 g/kg body weight (BW)/d, by using adjusted BW (aBW) instead of actual BW. Cut-off values of 1.0 and 1.2 were applied in additional analyses. Prevalences were also examined for subgroups according to sex, age, body mass index (BMI), education level, appetite, living status, and recent weight loss.

resultsThe study sample comprised 8107 older persons. Mean ± standard deviation protein intake ranged from 64.3 ± 22.3 (UK) to 80.6 ± 23.7 g/d [the Netherlands (cohort)] or from 0.94 ± 0.38 (USA) to 1.17z ± 0.30 g/kg aBW/d (Italy) when related to BW. The overall pooled prevalence of protein intake below recommended was 21.5% (95% confidence interval: 14.0-30.1), 46.7% (38.3-55.3), and 70.8% (65.1-76.3) using the 0.8, 1.0, and 1.2 cut-off value, respectively. A higher prevalence was observed among women, individuals with higher BMI, and individuals with poor appetite. The prevalence differed only marginally by age, education level, living status, and recent weight loss.

conclusionsIn community-dwelling older adults, the prevalence of protein intake below the current recommendation of 0.8 g/kg aBW/d is substantial (14-30%) and increases to 65-76% according to a cut-off value of 1.2 g/kg aBW/d. To what extent the protein intakes are below the requirements of these older people warrants further investigation.

Indexed as

Independent LivingMalnutritionAgedAged, 80 and overBody WeightFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceDietMulti-cohortOld agePrevalenceProteinRecommendations

Identifiers

PMID32548960
PMCPMC7567142
OpenAlexW3035244506

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.