Assessment of total and segmental body composition in spinal cord-injured athletes in Okayama Prefecture of Japan

Yoshihide Inukai, Kayo Takahashi, Da Hong Wang, Shohei Kira

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


This study assessed total and segmental distribution of fat mass (FM) in athletes with spinal cord injury (SCI) and examined the relationships between segmental distribution of fat mass and age, injury level, athletic history, and training load in order to provide useful information for improvements in their physical strength and training. Twenty-five male athletes with SCI participated in the study. The whole bone composition was measured by a dual-energy X-ray absorptiometry (DXA) method for the calculation of bone minerals, FM, and fat-free mass. The percent fat of the trunk, arms, and legs was also calculated. The percent fat in the legs was highest in comparison with that in the trunk and arms (p < 0.001), and the percent fat in the trunk was higher than that in the arms (p < 0.001). The body fat (p < 0.01), waist circumference (p < 0.01), and waist-to-hip ratio (p < 0.0001) were higher in the group aged 40 or older in comparison with that aged 39 or younger. Path analysis revealed that training load was a factor decreasing the percent fat on the arms and trunk (p < 0.01), and athletic history was a factor reducing the percent fat on the arms (p < 0.05). Our study suggests that exercise is effective in reducing the waist circumference, waist-to-hip ratio, and percent body fat of SCI individuals, and that such effects can help to enhance athletic performance and likely to protect against development of metabolic syndromes resulting from a sedentary lifestyle. Copyright

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalActa medica Okayama
Issue number2
Publication statusPublished - Apr 2006


  • Body composition
  • DXA
  • Path analysis
  • Percentage of fat
  • Spinal cord-injured athletes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)


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