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Cited by 29Nutrition and Health in AgingBody Composition Measurement TechniquesMuscle metabolism and nutrition

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Body composition in male lifelong trained strength, sprint and endurance athletes and healthy age-matched controls

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Abstract

Introduction: Aging involves many physiological processes that lead to decreases in muscle mass and increases in fat mass. While regular exercise can counteract such negative body composition outcomes, masters athletes maintain high levels of exercise throughout their lives. This provides a unique model to assess the impact of inherent aging. The present study compared lean mass and fat mass in young and masters athletes from different sports to age-matched non-athletic individuals. Methods: Participants included young (20–39 years, n = 109) and older (70–89 years, n = 147) competitive male athletes, and 147 healthy age-matched controls (young = 53, older = 94 males). Athletes were separated into strength (e.g., weightlifters, powerlifters), sprint (e.g., sprint runners, jumpers) and endurance (e.g., long-distance runners, cross-country skiers) athletic disciplines. Body composition was assessed by dual-energy x-ray absorptiometry (DXA). Upper and lower limb lean mass was combined for appendicular lean mass as well as appendicular lean mass index (ALMI; kg/m 2). Individuals’ scores were assessed against established cut-offs for low muscle mass, obesity, and sarcopenic obesity to determine prevalence in each group. Results: ALMI was greater in young strength (0.81–2.36 kg/m 2, ∼15% and 1.24–2.74 kg/m 2, ∼19%) and sprint (95% CI = 0.51–1.61 kg/m 2, ∼11% and 0.96–1.97 kg/m 2, ∼15%) athletes than in endurance and controls, respectively (all P < 0.001). In masters athletes, only strength athletes had greater ALMI than endurance athletes, but both older strength and sprint athletes had greater ALMI than older controls (0.42–1.27 kg/m 2, ∼9% and 0.73–1.67 kg/m 2, ∼13%, respectively, both P < 0.001). Fat mass was significantly lower in sprint and endurance athletes compared to strength athletes and controls in both age-groups. Sarcopenic obesity was identified in one young (2%) and eighteen (19%) older controls, while only two older endurance athletes (3%) and one older strength athlete (2%) were identified. Discussion: Lifelong competitive sport participation leads to lower prevalence of sarcopenic obesity than a recreationally active lifestyle. This is achieved in strength athletes by emphasizing muscle mass, while sprint and endurance athletes demonstrate low fat mass levels. However, all older athlete groups showed higher fat mass than the young groups, suggesting that exercise alone may not be sufficient to manage fat mass.

Overview

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TL;DR

In a cross-sectional DXA study of young and masters male athletes and age-matched controls, lifelong strength athletes showed the highest appendicular lean mass index while sprint and endurance athletes showed the lowest fat mass. Sarcopenic obesity prevalence was much lower in older athletes than controls, but all older athlete groups had higher fat mass than young athletes.

Key findings

  • ALMI was greater in young strength and sprint athletes than endurance athletes and controls. Young strength vs endurance: 95% CI 0.81–2.36 kg/m² (~15%); vs controls: 1.24–2.74 kg/m² (~19%). Young sprint vs endurance: 0.51–1.61 kg/m² (~11%); vs controls: 0.96–1.97 kg/m² (~15%), all P < 0.001.
  • In masters athletes, only strength athletes had greater ALMI than endurance athletes, but both older strength and sprint athletes had greater ALMI than older controls (reported 95% CIs 0.42–1.27 and 0.73–1.67 kg/m², both P < 0.001).
  • Sprint and endurance athletes had lower total fat mass, fat percentage, and android fat mass than strength athletes and controls in both age groups (P < 0.001). Obesity by fat percentage >25% was present in 72% of older controls, 51% of older strength athletes, 15% of older endurance athletes, and 7% of older sprint athletes.
  • Sarcopenic obesity was identified in one young control (2%); among older groups, two endurance athletes (3%), one strength athlete (2%), and eighteen controls (19%) were identified. Low muscle mass (ALM <20 kg) was predominantly in older controls (15, 16%), with two older endurance athletes (3%) and one older strength athlete (2%).

Methods

  • Cross-sectional study using ATHLAS athletes and CALEX-family controls: 109 young (20–39 years) and 147 older (70–89 years) male athletes, plus 147 age-matched controls (young n = 53, older n = 94 males). Athletes were classified as strength, sprint, or endurance trained.
  • Body composition was assessed by whole-body DXA (LUNAR Prodigy, GE Healthcare). Appendicular lean mass (ALM) combined upper and lower limb lean mass; ALMI = ALM/height². Low muscle mass cut-offs were ALM <20 kg or ALMI <7.0 kg/m², and obesity was defined as fat percentage >25%.
  • Between-group differences were tested with Welch’s ANOVA across all eight groups, followed by Tamhane’s T2 post hoc tests; alpha was 0.05; analyses used SPSS version 26.

Limitations

  • Stated: Measurements were partly performed during competition conditions, so muscle strength, chair rise, and walking speed tests could not be performed; by strict definition, neither sarcopenia nor sarcopenic obesity can be fully identified. DXA also cannot accurately assess intra-abdominal fat or intramuscular fat infiltration.
  • Stated: Only males were examined, leaving unknown how aging and age-related processes including menopause affect comparisons in females; nutrition, precise training volume/intensity, and injury/illness could not be included as covariates.
  • Stated/evident: The cross-sectional design prevents direct inferences about changes over time; the authors also note possible volunteer/selection bias toward healthier individuals, and controls were not engaged in structured competitive training while athletes had sport-specific training.

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Registry

Crossref · 10.3389/fspor.2023.1295906

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Figures

Figure 1 Body composition represented as the contribution of lean and fat tissue mass to overall body mass in each group. Y Sp = young sprint athletes, Y End = young endurance athletes, Y Str = young strength athletes, Y Con = young controls, O Sp = older sprint athletes, O End = older endurance athletes, O Str = older strength athletes, O Con = older controls.
Figure 1 Body composition represented as the contribution of lean and fat tissue mass to overall body mass in each group. Y Sp = young sprint athletes, Y End = young endurance athletes, Y Str = young strength athletes, Y Con = young controls, O Sp = older sprint athletes, O End = older endurance athletes, O Str = older strength athletes, O Con = older controls.CC BY · PubMed Central
Figure 2 Individual and mean (grey lines) appendicular lean mass (A) and appendicular lean mass index (B) values for all groups. Statistical comparisons were made between the four groups within each specific age-range (20–39 years and 70–89 years). The dashed line shows the sarcopenia threshold according to Cruz-Jentoft et al. (16). Statistical analyses reported in the table refer to age-matched comparisons only; *P < 0.05, **P < 0.001 compared to non-athletic controls. ‡P < 0.05, ‡‡P < 0.001 compared to endurance athletes. Y Sp = young sprint athletes, Y End = young endurance athletes, Y Str = young strength athletes, Y Con = young controls, O Sp = older sprint athletes, O End = older endurance athletes, O Str = older strength athletes, O Con = older controls.
Figure 2 Individual and mean (grey lines) appendicular lean mass (A) and appendicular lean mass index (B) values for all groups. Statistical comparisons were made between the four groups within each specific age-range (20–39 years and 70–89 years). The dashed line shows the sarcopenia threshold according to Cruz-Jentoft et al. (16). Statistical analyses reported in the table refer to age-matched comparisons only; *P < 0.05, **P < 0.001 compared to non-athletic controls. ‡P < 0.05, ‡‡P < 0.001 compared to endurance athletes. Y Sp = young sprint athletes, Y End = young endurance athletes, Y Str = young strength athletes, Y Con = young controls, O Sp = older sprint athletes, O End = older endurance athletes, O Str = older strength athletes, O Con = older controls.CC BY · PubMed Central
Figure 3 Individual and mean (grey lines) fat percentage values for all groups. Statistical comparisons were made between the four groups within each specific age-range (20–39 years and 70–89 years). The dashed line shows the obesity threshold according to the American Society of Bariatric Physicians (17). Statistical analyses reported in the table refer to age-matched comparisons only; *P < 0.05, **P < 0.001 compared to non-athletic controls. ‡P < 0.05, ‡‡P < 0.001 compared to endurance athletes, §P < 0.05, §§P < 0.001 compared to sprint athletes. Y Sp = young sprint athletes, Y End = young endurance athletes, Y Str = young strength athletes, Y Con = young controls, O Sp = older sprint athletes, O End = older endurance athletes, O Str = older strength athletes, O Con = older controls.
Figure 3 Individual and mean (grey lines) fat percentage values for all groups. Statistical comparisons were made between the four groups within each specific age-range (20–39 years and 70–89 years). The dashed line shows the obesity threshold according to the American Society of Bariatric Physicians (17). Statistical analyses reported in the table refer to age-matched comparisons only; *P < 0.05, **P < 0.001 compared to non-athletic controls. ‡P < 0.05, ‡‡P < 0.001 compared to endurance athletes, §P < 0.05, §§P < 0.001 compared to sprint athletes. Y Sp = young sprint athletes, Y End = young endurance athletes, Y Str = young strength athletes, Y Con = young controls, O Sp = older sprint athletes, O End = older endurance athletes, O Str = older strength athletes, O Con = older controls.CC BY · PubMed Central

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Metadata

Authors
Walker, S., von Bonsdorff, M., Cheng, S., Häkkinen, K., Bondarev, D., Heinonen, A., & Korhonen, M. T.
Affiliations
  • University of Jyväskylä (FI)
  • Folkhälsans Forskningscentrum (FI)
  • Shanghai Jiao Tong University (CN)
Corresponding author
Walker, Simon
Venue
Frontiers in Sports and Active Living
Published
2023-10-31
Volume
5
Pages
1295906-1295906
ISSN
2624-9367 (ISSN-L)
OpenAlex
W4388070036
Cited by
29
References
41
Citations by year
2026: 14 · 2025: 14 · 2024: 1
FWCI
4.42
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Sports and Active Living (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Jyväskylä University Digital Archive (University of Jyväskylä) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Yrjö Jahnssonin Säätiö
  • Juho Vainion Säätiö
  • Päivikki ja Sakari Sohlbergin Säätiö
  • Jyväskylän Yliopisto
Topics
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
  • Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
  • Health Sciences › Nursing › Nutrition and Dietetics › Muscle metabolism and nutrition
Keywords
body composition, masters athletes, aging, sarcopenic obesity, lean body mass, fat mass, appendicular lean mass index, strength athletes, sprinters, endurance athletes, muscle mass, obesity, sport discipline differences, lifelong physical exercise, older men, weightlifters, long-distance runners, cross-country skiers, powerlifters, jumpers, dual-energy X-ray absorptiometry

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