Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Trajectory Analysis of the Four‐Year Changes in Body Composition and Bone Mineral Characteristics Among Highly Competitive Male University Long‐Distance Runners

Bibliographic Data

ID19459696
AuthorsNorimitsu Kinoshita (0000-0002-2210-0892, Faculty of Sports and Health Studies Hosei University Tokyo Japan, corresponding author), Masaya Tokita (Faculty of Sports and Health Studies Hosei University Tokyo Japan), Kenta Okuyama (0000-0001-5540-0325, Center for Primary Health Care Research, Department of Clinical Sciences Malmö Lund University Malmö Sweden)
Year2025
Volume37
Issue1
Pagese24179-e24179
Publication date2025-01-01
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Human Biology (JOURNAL)
Journal identifiersISSN: 1042-0533 • E-ISSN: 1520-6300
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ajhb.24179
PMID39508272
OpenAlexW4404143562
LanguageEN
References cited48

Objectives This study examined long‐term changes in body composition and bone mineral characteristics among male long‐distance runners from a high‐profile university team, focusing on concerns about impaired musculoskeletal development due to extreme leanness and weight management practices in this population. Methods Trajectory analyses were performed using multilevel modeling of 608 dual‐energy x‐ray absorptiometry datasets from 109 runners (mean age, height, and weight of 18.0 years, 171.4 cm, and 56.8 kg at baseline, respectively) collected biannually over 4 years. Results Linear increases in total and regional lean mass (LM) were observed on average, with the increase in leg LM being double that of arm LM (0.07 vs. 0.03 kg per occasion, respectively). Similarly, total bone mineral density (BMD) and content (BMC) exhibited linear growth on average, with BMD accrual being greater in the legs than in the arms (0.004 vs. 0.001 g/cm 2 per occasion, respectively). However, rib BMD and BMC were predicted to decrease. Individually predicted growth rates in total LM were significantly associated with those in total BMD ( r = 0.347, p < 0.001) and BMC ( r = 0.424, p < 0.001). Conclusions These results indicate site‐specific musculoskeletal adaptations to intensive long‐distance running training. Moreover, a random slope model accurately captured the trajectories of most dependent variables, highlighting the heterogeneity of training responses. The predictive models developed in this study offer practical strategies for identifying runners at risk of suboptimal physical development, thereby facilitating the development of personalized conditioning programs

Art · Biology · Bone mineral · Geography · Osteoporosis · Sociology · Trajectory · Body Composition Measurement Techniques · Bone health and osteoporosis research · Demography · Sports Performance and Training · Endocrinology

  • Applied Longitudinal Data Analysis

    Judith D Singer, John B Willett•Applied Longitudinal Data Analysis•2003

  • Applied Longitudinal Analysis

    Open Access•Garrett M Fitzmaurice, Nan M Laird et al.•Applied Longitudinal Analysis•2011

  • Endurance running and the evolution of Homo

    Open Access•Dennis M Bramble, D E Lieberman•Nature•2004

  • Why does strength training improve endurance performance

    Open Access•A W Best•American Journal of Human Biology•2021

  • Bone density and frame size in adult women

    Open Access•K M N Lee, Mary P Rogers et al.•American Journal of Human Biology•2021

  • Body fat attenuates muscle mass catabolism among physically active humans in temperate and cold high altitude environments

    Open Access•C Ocobock, Cara J Ocobock•American Journal of Human Biology•2017

  • Sex differences and shifts in body composition, physical activity, and total energy expenditure across a 3‐month expedition

    Open Access•Mallika S Sarma, C Ocobock et al.•American Journal of Human Biology•2021

  • Skeletal growth and the changing genetic landscape during childhood and adulthood

    Open Access•Dana L Duren, Maja Šešelj et al.•American Journal of Physical…•2013

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae