Evidence map›Paper›PMID 29191494›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2018

Low protein intake, muscle strength and physical performance in the very old: The Newcastle 85+ Study.

Antoneta Granic, Nuno Mendonça, Avan Aihie Sayer, Tom R Hill, Karen Davies, Ashley Adamson, Mario Siervo, John C Mathers, Carol Jagger

Open access · hybridAbstract read
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
6.1field-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.

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

62 citing papers in PubMed, 3 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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  16. What Is 'Muscle Health'? A Narrative Review and Conceptual Framework.Journal of functional morphology and kinesiology · 2025
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2 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 1 country.

Antoneta GranicAGE Research Group, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom; NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom. Electronic address: antoneta.granic@newcastle.ac.uk.
Nuno MendonçaNewcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom; Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, United Kingdom; School of Agriculture, Food and Rural Development, Newcastle University, Newcastle upon Tyne, United Kingdom.
Avan Aihie SayerAGE Research Group, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom; NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom; Academic Geriatric Medicine, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Tom R HillHuman Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, United Kingdom; School of Agriculture, Food and Rural Development, Newcastle University, Newcastle upon Tyne, United Kingdom.
Karen DaviesAGE Research Group, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, United Kingdom; NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom.
Ashley AdamsonNewcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom; School of Agriculture, Food and Rural Development, Newcastle University, Newcastle upon Tyne, United Kingdom; Institute of Health & Society, Newcastle University, Newcastle upon Tyne, United Kingdom.
Mario SiervoNewcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom; Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, United Kingdom; Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.
John C MathersNewcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom; Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne, United Kingdom; Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom.
Carol JaggerNewcastle University Institute for Ageing, Newcastle upon Tyne, United Kingdom; Institute of Health & Society, Newcastle University, Newcastle upon Tyne, United Kingdom.
Newcastle Hospitals - Campus for Ageing and Vitality · GBNewcastle upon Tyne Hospitals NHS Foundation Trust · GBNewcastle University · GB

Funding

Department of Health NIHR-RP-02-12-001Medical Research Council G0500997Medical Research Council MR/J50001X/1Medical Research Council MR/L016354/1
6 · The paper itself

Abstract

backgroundLow protein intake has been linked to reduced muscle strength and physical performance in older adults but little is known about how it may affect muscle health and subsequent functional decline in the very old (aged 85+), who are at enhanced risk of malnutrition and loss of muscle mass and strength.

aimsTo investigate the associations between low protein intake, defined as the intake of <1 g protein/kg adjusted body weight/day (<1 g/kg aBW/d) and decline in muscle strength and physical performance in the very old.

methodsThe analytic sample consisted of 722 community-dwelling participants (60% women) from the Newcastle 85+ Study who had protein intake at baseline. Participants were followed-up for change in grip strength (GS) and Timed Up-and-Go (TUG) test over 5 years (baseline, 18, 36, and 60 months). We used mixed models to determine the effects of low protein intake on muscle strength and physical performance in all participants, and also stratified by sex.

resultsAt baseline, 390 (54%) participants (261 women, p < 0.001) reported low protein intake, and these differed from participants with good intake (≥1 g/kg aBW/d) on several measures of health and function. In the model adjusted for protein intake, consuming <1 g/kg aBW/d of protein was associated with a 1.62 kg lower GS (p = 0.008) in all participants, and especially in women (β (SE) = -0.83 (0.41), p = 0.05) after adjusting for key baseline covariates (anthropometry, multimorbidity, arthritis in hands, cognitive status and physical activity). The rate of decline in GS over 5 years was not associated with protein intake. Women, but not men, with low protein intake had worse baseline TUG (β (SE) = 0.04 (0.02), p = 0.03) compared with those with good protein intake in the fully adjusted model, but the rate of decline in TUG was not affected by daily protein status.

conclusionsIntake of <1 g protein/kg aBW/d may negatively affect muscle strength and physical performance in late life, especially in older women, independently of important covariates. More research is needed in the very old to define the optimal protein intake for maintenance of muscle health and function.

Indexed as

Dietary ProteinsAged, 80 and overDietEatingFemaleHand StrengthHumansMaleMuscle StrengthPhysical Functional PerformanceProspective StudiesDietary ProteinsAged 80 and overGrip strengthLow protein intakeNewcastle 85+ StudyPhysical activityTimed Up-and-Go test

Identifiers

PMID29191494
PMCPMC6295979
OpenAlexW2769090831

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.