Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 5Muscle metabolism and nutritionBody Composition Measurement TechniquesNutrition and Health in Aging

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index; none of the 17 sources its claims cite is checked for support yet.

Association between protein intake and lean body mass in a group of Masters Athletes

Open access

Abstract

Recommendations for protein intake are based on total body weight; however, these recommendations do not consider lean body mass (LBM). The purpose of the present study was to identify the average protein intake in g/kg LBM in a group of healthy Masters Athletes (≥26 years of age, exercising ≥2 d/week). Data were obtained from a cross-sectional study. Body weight (kg), height (cm) and LBM via dual-energy X-ray absorptiometry were measured. Dietary intake was measured using a 2005 Block Food Frequency Questionnaire. The average energy intake, the percent energy from protein and the average protein intake in g/kg LBM were calculated. Differences between protein intake and the US Recommended Dietary Allowance (US RDA) (0⋅8 g/kg body weight) were determined. Alpha levels were set a priori to P < 0⋅05. A total of 176 participants (94 women, 82 men; 39 ± 11 years of age; body mass index: 24⋅6 ± 3⋅4 kg/m 2) were analysed. The average energy intake, the percent protein energy and the average protein intake were 7996⋅9 ± 110⋅9 kilojoules (kJ)/d (1,910⋅4 ± 26⋅5 kcal), 15⋅5 ± 2⋅6 % and 1⋅43 ± 0⋅53 g/kg LBM, respectively. No differences existed between women and men for protein intake/kg LBM. Both sexes had significantly higher protein intakes than the US RDA (P < 0⋅001). We identified the average protein intake (g/kg LBM) in healthy Masters Athletes that may contribute to evolving perspectives on the determination of protein needs. The present study helps establish the relationship between protein intake and LBM so that we may further increase our accuracy when developing future protein recommendations.

Overview

CoChat Summary

TL;DR

In a cross-sectional sample of 176 healthy Masters Athletes, average protein intake was 1.43 ± 0.53 g/kg lean body mass (LBM), with no significant difference between women and men. Protein intake indexed to LBM was significantly higher than the US RDA (0.8 g/kg body weight), supporting further exploration of LBM-based protein recommendations.

Key findings

  • In 176 Masters Athletes (94 women, 82 men; 39 ± 11 years; BMI 24.6 ± 3.4 kg/m²), average protein intake was 1.43 ± 0.53 g/kg LBM, and protein provided 15.6 ± 2.6% of energy, within the 10–35% AMDR.
  • No significant sex difference was found for protein intake indexed to LBM: women 1.49 ± 0.53 vs men 1.36 ± 0.53 g/kg LBM (t(174) = −1.55, P = 0.12).
  • Protein intake averaged 1.0 ± 0.4 g/kg total body weight. Both women and men had significantly higher protein intake per kg LBM than the US RDA (0.8 g/kg body weight): total sample t(175) = 15.73, P < 0.001; women t(93) = 12.69, P < 0.001; men t(81) = 9.56, P < 0.001.
  • Average LBM was 51.8 ± 10.7 kg overall, 43.7 ± 5.0 kg in women and 61.1 ± 7.3 kg in men.

Methods

  • Cross-sectional study of healthy Masters Athletes, defined as ≥26 years of age and exercising ≥2 days/week; participants were excluded if active smokers, pregnant, or diagnosed with uncontrolled chronic disease; recruitment used flyers around the Philadelphia area.
  • Body weight, height, and BMI were measured; LBM was assessed by dual-energy X-ray absorptiometry (DXA); dietary intake was assessed with a self-administered 2005 Block Food Frequency Questionnaire.
  • Descriptive statistics summarized energy and protein intakes; independent-samples t-tests compared women and men for protein intake in g/kg LBM; one-sample t-tests compared average protein intake to the US RDA (0.8 g/kg body weight); alpha was set a priori at P < 0.05, and post hoc power with n = 176 and effect size 0.5 was 0.99.

Limitations

  • The paper states that dietary intake was self-reported, introducing potential self-report bias or misrepresentation, though participants were unaware protein was the nutrient of interest.
  • The paper also notes the lack of nitrogen balance data to corroborate results, assumptions of weight and metabolic stability and constant yearly intake, and that absolute protein measures did not account for protein quality or distribution across the day; weight-stability assumptions were uncontrolled.
  • Evident from the text: the cross-sectional design cannot establish causality or determine whether protein needs should be based on LBM, and the sample of healthy Masters Athletes recruited around Philadelphia limits generalizability. The abstract and Results/Table also report inconsistent energy-intake variability (e.g., 7996.9 ± 110.9 vs 7995.3 ± 3461.8 kJ/d), an internal reporting inconsistency.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1017/jns.2022.10

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Fig. 1. Sport classification of Masters Athletes.
Fig. 1. Sport classification of Masters Athletes.CC BY · PubMed Central

Verification

Claims the paper makes

0 Valid · 0 Not valid · 10 Not checked · 14 Own results and interpretations

3 more claims

Create a free account to see all 24 claims and to verify the 17 references still open.

See all claims — free account
  • It may state two separate claims as one. 12
  • Probably not a substantial claim. 8

Create a free account to see these claims.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Show all 36 references

Research works printed but not linked: 2

  1. Medicine, 2005, Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients)
  2. 2007, Protein and Amino Acid Requirements in Human Nutrition: Report of a Joint WHO/FAO/UNU Expert Consultation

Cited by

See all 5

Metadata

Authors
Stanzione, J. R., Boullata, J. I., Bruneau, M. L., & Volpe, S. L.
Affiliations
  • Hospital of the University of Pennsylvania (US)
  • Drexel University (US)
  • Virginia Tech (US)
Corresponding author
Volpe, Stella L.
Venue
Journal of Nutritional Science
Published
2022
Volume
11
Pages
e30-e30
ISSN
2048-6790 (ISSN-L)
OpenAlex
W4285238781
Cited by
5
References
36
Citations by year
2025: 2 · 2024: 2 · 2023: 1
FWCI
0.72
Type
journal article
Language
en
Open access
Locations
  • Journal of Nutritional Science (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • VTechWorks (Virginia Tech) (submittedVersion, cc-by)
  • VUBIR (Vrije Universiteit Brussel) (submittedVersion)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
  • Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
Keywords
protein intake, lean body mass, masters athletes, protein requirements, dietary protein, energy intake, sex differences, protein recommendations, older adults
MeSH terms
Body Composition, Body Weight, Cross-Sectional Studies, Dietary Proteins, Female, Humans, Male, Athletes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-14, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-14 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.