Evidence map›Paper›PMID 28948346›Full record

ArticleEuropean journal of nutrition2018

Prevalence and determinants of low protein intake in very old adults: insights from the Newcastle 85+ Study.

Nuno Mendonça, Antoneta Granic, John C Mathers, Tom R Hill, Mario Siervo, Ashley J Adamson, Carol Jagger

Abstract read
In one paragraph

Article in European journal of nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Eating Advice for People Who Wear Dentures: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors.

Nuno MendonçaSchool of Agriculture Food and Rural Development, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK. n.m.p.mendonca@newcastle.ac.uk.ORCID http://orcid.org/0000-0001-7589-9901
Antoneta GranicNewcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.
John C MathersNewcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.
Tom R HillSchool of Agriculture Food and Rural Development, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Mario SiervoNewcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.
Ashley J AdamsonNewcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.
Carol JaggerNewcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.

Funding

Department of Health NIHR-RP-02-12-001Medical Research Council G0500997Medical Research Council MR/J50001X/1Medical Research Council MR/K006312/1Medical Research Council MR/L016354/1Medical Research Council MR/P020941/1
6 · The paper itself

Abstract

purposeThe very old (aged ≥ 85 years), fastest growing age group in most western societies, are at especially high risk of muscle mass and strength loss. The amount, sources and timing of protein intake may play important roles in the aetiology and management of sarcopenia. This study investigated the prevalence and determinants of low protein intake in 722 very old adults participating in the Newcastle 85+ Study.

methodsProtein intake was estimated with 2 × 24-h multiple pass recalls (24 h-MPR) and contribution (%) of food groups to protein intake was calculated. Low protein intake was defined as intake < 0.8 g of protein per adjusted body weight per day. A backward stepwise multivariate linear regression model was used to explore socioeconomic, health and lifestyle predictors of protein intake.

resultsTwenty-eight percent (n = 199) of the community-living very old in the Newcastle 85+ Study had low protein intake. Low protein intake was less likely when participants had a higher percent contribution of meat and meat products to total protein intake (OR 0.97, 95% CI 0.95, 1.00) but more likely with a higher percent contribution of cereal and cereal products and non-alcoholic beverages. Morning eating occasions contributed more to total protein intake in the low than in the adequate protein intake group (p < 0.001). Being a woman (p < 0.001), having higher energy intake (p < 0.001) and higher tooth count (p = 0.047) was associated with higher protein intake in adjusted models.

conclusionThis study provides novel evidence on the prevalence of low protein intake, diurnal protein intake patterns and food group contributors to protein intake in the very old.

Indexed as

Diet, Protein-RestrictedAgedAged, 80 and overBeveragesCohort StudiesDietary ProteinsEdible GrainFemaleGeriatric AssessmentHealth StatusHumansLife StyleMaleNutrition AssessmentNutrition SurveysSocioeconomic FactorsDietary ProteinsAged, 80 and overMalnutritionNewcastle 85+ProteinVery old

Identifiers

PMID28948346
PMCPMC6267410

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.