Evidence map›Paper›PMID 38746828›Full record

ArticleFrontiers in sports and active living2024

Is there a beneficial effect of a high-protein diet on body composition and strength capacity in physical active middle-aged individuals?-An eight-week randomized controlled trial.

Jan Schalla, Sina Frommelt, Stephan Geisler, Eduard Isenmann

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
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

4 authors.

Jan SchallaDepartment of Fitness and Health, IST University of Applied Sciences, Duesseldorf, Germany.
Sina FrommeltDepartment of Fitness and Health, IST University of Applied Sciences, Duesseldorf, Germany.
Stephan GeislerDepartment of Fitness and Health, IST University of Applied Sciences, Duesseldorf, Germany.
Eduard IsenmannDepartment of Fitness and Health, IST University of Applied Sciences, Duesseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Demographic changes are resulting in a continual increase in the proportion of individuals over 65 years old. Simultaneously, muscle mass (MM) tends to decrease with age, with a decline noticeable from the middle of the fourth decade of life. While physical activity is considered a modulator for maintaining MM, the interaction with nutrient uptake, especially protein intake, is getting more into focus. Due to a lack of data on the effect of a high-protein diet on middle-aged individuals (40-65 years), this study aimed to investigate the influence of a high-protein diet in middle-aged physically active persons on body composition and performance. Methods: Using stratified randomization, participants were allocated to either a high-protein group (>2.3 g/kg FFM/day) ( Results: No significant differences in energy intake were found between the groups ( Discussion: Our results indicate no to only trivial effects of adding a high-protein diet to otherwise physically active middle-aged individuals. Trivial effects could be seen for an increase in muscle strength after this eight-week intervention. However, MM and FFM were not significantly affected. Based on the small effect sizes we observed in our results we do not see a benefit of a high-protein diet on body composition and strength capacity without altering the exercise habits.

Indexed as

agingbody compositionexercisehigh-proteinnutritionstrength

Identifiers

PMID38746828
PMCPMC11091325

What OpenQuestion holds

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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.