Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 25Muscle metabolism and nutritionNutrition and Health in AgingExercise and Physiological Responses

The DOI matches its Crossref record; 294 of the 300 references it cites were found in a registry or an index, and 5 are not checked yet; none of the 125 sources its claims cite is checked for support yet.

Nutrition for Older Athletes: Focus on Sex-Differences

Open access

Abstract

Regular physical exercise and a healthy diet are major determinants of a healthy lifespan. Although aging is associated with declining endurance performance and muscle function, these components can favorably be modified by regular physical activity and especially by exercise training at all ages in both sexes. In addition, age-related changes in body composition and metabolism, which affect even highly trained masters athletes, can in part be compensated for by higher exercise metabolic efficiency in active individuals. Accordingly, masters athletes are often considered as a role model for healthy aging and their physical capacities are an impressive example of what is possible in aging individuals. In the present review, we first discuss physiological changes, performance and trainability of older athletes with a focus on sex differences. Second, we describe the most important hormonal alterations occurring during aging pertaining regulation of appetite, glucose homeostasis and energy expenditure and the modulatory role of exercise training. The third part highlights nutritional aspects that may support health and physical performance for older athletes. Key nutrition-related concerns include the need for adequate energy and protein intake for preventing low bone and muscle mass and a higher demand for specific nutrients (e.g., vitamin D and probiotics) that may reduce the infection burden in masters athletes. Fourth, we present important research findings on the association between exercise, nutrition and the microbiota, which represents a rapidly developing field in sports nutrition.

Checked 2026-11-14 · 5 references not checked yet

Overview

CoChat Summary

TL;DR

This narrative review summarizes physiological, endocrine, bone, performance, and nutritional changes in older masters athletes, with emphasis on sex differences. It concludes that chronic exercise and adequate nutrition can favorably modify many age-related declines, but evidence specific to masters athletes remains limited and recommendations are often extrapolated from younger athletes and older non-athletes.

Key findings

  • Aging reduces VO2max by approximately 10% per decade after the third decade, but training modulates this; examples include 81-year-old male endurance athletes with VO2max 38 (±1) vs. 21 (±1) mL/min/kg in age-matched untrained persons, an 83-year-old female masters runner with VO2max 42.3 mL/min/kg, and a 101-year-old athlete improving VO2max from 31 to 35 mL/min/kg over 2 years.
  • Masters athletes often show better body composition than non-athletes: among 156 masters athletes aged 40–79, none were categorized as sarcopenic, and individuals aged 40–81 training 4–5 times/week showed no decline in lean muscle mass or strength. Still, decline occurs: 71 track-and-field masters had calf muscle cross-section decrease of 0.6%/year in men but no significant change in women; 256 track-and-field masters had whole-body skeletal muscle mass reduction of 3.2% per decade in women and 2.8% in men, offset by fat gain. In bone, male power athletes preserved or increased tibia bone mass/strength, while male endurance athletes and female track-and-field masters lost tibia epiphyseal bone mass at approximately 5% per decade.
  • Nutrition risks and targets: low energy availability is <30 kcal/kg lean body mass/day; masters triathletes’ post-exercise energy and protein intakes were −40% (22.7 kJ/kg) and −25% (19.6 g) below younger-athlete recommendations, and female masters consumed 0.7 g/kg carbohydrate post-exercise vs. 1.0–1.2 g/kg recommended. Protein recommendations include ≥30 g/meal or ≥1.2 g/kg/day for older adults, 35–40 g/meal and ~1.5–1.6 g/kg/day for masters athletes, and 1.6–2.5 g/kg/day during injury. Vitamin D insufficiency is <50 nmol/L, deficiency <30 nmol/L, and optimal 75 nmol/L, with daily 1000 IU vitamin D3 suggested in winter. Probiotic supplementation with 1 × 10^10 CFUs for 12 weeks limited exercise-induced drops in tryptophan and reduced upper respiratory tract infection incidence.
  • Sex differences: relative VO2max differs by about 10% between male and female athletes; performance sex differences were 12% for running, swimming, and cycling and 17% for cross-country skiing. Ages at which performance declined to 50% of the 30–35-year maximum were walking 90/84, swimming 87/84, jumping 78/72, and weightlifting 74/60 years (male/female); 200-m sprint cycling performance halved at 80 years in men vs. 59 years in women. Strength differences between sexes are largely explained by muscle size, with similar relative strength and hypertrophy changes after resistance training.

Methods

  • Narrative review; the authors state they collate relevant information to provide recommendations where evidence is available and to flag open questions, rather than conducting a systematic review or meta-analysis.
  • Synthesizes cited literature across oxygen delivery/utilization, body composition and metabolism, endocrine aging, bone metabolism, performance/trainability, and nutrition/immune/microbiota in masters athletes and older adults, including human cross-sectional, longitudinal, and intervention studies plus rodent mitochondria studies.
  • No primary data collection, and no systematic search strategy, inclusion criteria, or formal quality appraisal is described.

Limitations

  • The authors state that limited evidence exists on nutritional requirements for masters athletes and that many open questions remain; future longitudinal studies are needed on diet and specific nutrients across the athletic lifespan.
  • The authors note that some findings cannot be directly extrapolated to masters athletes, e.g., probiotic/immune results from young athletes due to age-related immune changes; GH/IGF-1 findings may be biased by short study duration, training motivation, inability to achieve sufficient absolute exercise intensity in the elderly, and sex-bias toward male participants; one bone study could not discern aging from menopause; and robust data on nutritional interventions in injured athletes are lacking.
  • Evident from the text: as a narrative review, it lacks a systematic search, formal quality assessment, and meta-analytic synthesis, and recommendations often extrapolate from younger athletes and older non-athletic populations.

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

Integrity signals

Registry

Crossref · 10.3390/nu13051409

Cites

294 of 299 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Publications on masters athletes, plotted against year of publication. Date are the result of a literature research on public Medline on 1 October 2021, using the following search terms: ((master athlete (Title/Abstract)) OR (masters athlete (Title/Abstract)) OR (veteran athlete (Title/Abstract)).
Figure 1 Publications on masters athletes, plotted against year of publication. Date are the result of a literature research on public Medline on 1 October 2021, using the following search terms: ((master athlete (Title/Abstract)) OR (masters athlete (Title/Abstract)) OR (veteran athlete (Title/Abstract)).CC BY · PubMed Central
Figure 2 The lung–heart–muscle axis involved in oxygen delivery and utilization. Main cardiorespiratory parameters specifying organ function at rest and during exercise: minute ventilation (VE), cardiac output (Q), and oxygen extraction in the skeletal muscle. Parameters listed below the organs represent those which are primarily affected by the aging process. Oxygen, O2; carbon dioxide, CO2; tidal volume, VT; breathing frequency, Bf; hemoglobin concentration, Hb; arterial oxygen saturation, SaO2; heart rate, HR; adenosine triphosphate, ATP.
Figure 2 The lung–heart–muscle axis involved in oxygen delivery and utilization. Main cardiorespiratory parameters specifying organ function at rest and during exercise: minute ventilation (VE), cardiac output (Q), and oxygen extraction in the skeletal muscle. Parameters listed below the organs represent those which are primarily affected by the aging process. Oxygen, O2; carbon dioxide, CO2; tidal volume, VT; breathing frequency, Bf; hemoglobin concentration, Hb; arterial oxygen saturation, SaO2; heart rate, HR; adenosine triphosphate, ATP.CC BY · PubMed Central
Figure 3 Schematic presentation of the age-related performance decline, i.e., in aerobic capacity (VO2max) and maximal grip strength, for both sexes, depending on physical training status, ranging from well-trained to sedentary. The figure is based on the meta-analysis from Fitzgerald et al. (1997) [130], with contributions from Burtscher et al. (2008) [28], Booth et al. (2010) [131], Landi et al. (2017) [132], and (defining frailty threshold as VO2max of 18 mL/min/kg) Carr et al. (2006) [133].
Figure 3 Schematic presentation of the age-related performance decline, i.e., in aerobic capacity (VO2max) and maximal grip strength, for both sexes, depending on physical training status, ranging from well-trained to sedentary. The figure is based on the meta-analysis from Fitzgerald et al. (1997) [130], with contributions from Burtscher et al. (2008) [28], Booth et al. (2010) [131], Landi et al. (2017) [132], and (defining frailty threshold as VO2max of 18 mL/min/kg) Carr et al. (2006) [133].CC BY · PubMed Central
Figure 4 Mechanisms potentially contributing to the less fatigability of skeletal muscles in females. Modified according to Hunter [158].
Figure 4 Mechanisms potentially contributing to the less fatigability of skeletal muscles in females. Modified according to Hunter [158].CC BY · PubMed Central
Figure 5 Pleiotropic effects of physical exercise and nutrition on healthy aging. The right side depicts effects of aging on endocrine function, appetite regulation, glucose metabolism, body composition and mitochondria. The left side illustrates how physical exercise can potentially mitigate effects of aging on the human body of masters athletes. ↑, positive change; ↓, negative change; ?, unknown effect. Cholecystokinine, CCK; growth hormone, GH; insulin-like growth factor, IGF.
Figure 5 Pleiotropic effects of physical exercise and nutrition on healthy aging. The right side depicts effects of aging on endocrine function, appetite regulation, glucose metabolism, body composition and mitochondria. The left side illustrates how physical exercise can potentially mitigate effects of aging on the human body of masters athletes. ↑, positive change; ↓, negative change; ?, unknown effect. Cholecystokinine, CCK; growth hormone, GH; insulin-like growth factor, IGF.CC BY · PubMed Central
Figure 6 Overview of physiological and diet-related challenges associated with aging and nutritional strategies to assist masters athletes to stay healthy, optimize adaptation and post-exercise recovery. Body mass, BM; colony-forming units, CFU; carbohydrates, CHO; energy availability, EA; gastrointestinal, GI; international units, IU; lean body mass, LBM; polyunsaturated fatty acids, PUFA; upper respiratory illness, URI.
Figure 6 Overview of physiological and diet-related challenges associated with aging and nutritional strategies to assist masters athletes to stay healthy, optimize adaptation and post-exercise recovery. Body mass, BM; colony-forming units, CFU; carbohydrates, CHO; energy availability, EA; gastrointestinal, GI; international units, IU; lean body mass, LBM; polyunsaturated fatty acids, PUFA; upper respiratory illness, URI.CC BY · PubMed Central

Verification

Claims the paper makes

0 Valid · 1 Not valid · 92 Not checked · 43 Own results and interpretations

56 more claims

Create a free account to see all 136 claims and to verify the 125 references still open.

See all claims — free account
  • Probably not a substantial claim. 20
  • It may state two separate claims as one. 63
  • The quote only partly states this claim. 1

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?

5 more claims about this paper

Create a free account to see every claim other papers make about this one.

See all claims — free account

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.

1 of 1

Citations

Cites

Show all 300 references

Research works printed but not linked: 1

  1. Bilezikian, J.P., Raisz, L.G., and Rodan, G.A. (2002). Chapter 19-Histomorphometric Analysis of Bone Remodeling. Principles of Bone Biology, Academic Press. [2nd ed.].

Cited by

See all 25

Metadata

Authors
Strasser, B., Pesta, D., Rittweger, J., Burtscher, J., & Burtscher, M.
Affiliations
  • Sigmund Freud Privatuniversität Wien (AT)
  • Universität Innsbruck (AT)
  • Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
  • University of Lausanne (CH)
Corresponding author
Strasser, Barbara
Venue
Nutrients
Publisher
MDPI AG
Published
2021-04-22
Volume
13
Issue
5
Pages
1409
ISSN
2072-6643 (ISSN-L)
OpenAlex
W3153566118
Cited by
25
References
300
Citations by year
2026: 3 · 2025: 8 · 2024: 4 · 2023: 3 · 2022: 5 · 2021: 2
FWCI
0.44
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • SERVAL (Université de Lausanne) (acceptedVersion, cc-by)
  • elib (German Aerospace Center) (acceptedVersion)
  • IRIS (submittedVersion, cc-by)
Funders
  • Joint Programming Initiative A healthy diet for a healthy life
  • Österreichische Forschungsförderungsgesellschaft
  • Bundesministerium für Bildung, Wissenschaft und Forschung
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
  • Health Sciences › Medicine › Physiology (medical) › Exercise and Physiological Responses
Keywords
older athletes, masters athletes, sex differences, aging, exercise training, physical performance, body composition, metabolism, hormonal changes, appetite regulation, glucose homeostasis, energy expenditure, protein intake, energy intake, bone mass, muscle mass, vitamin D, probiotics, infection, gut microbiota, healthy aging
MeSH terms
Aging, Female, Humans, Male, Nutritional Physiological Phenomena, Publications, Sex Characteristics, Athletic Performance, 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.