Integrating muscle health in predicting the risk of asymptomatic vertebral fracture in older adults

Yu Ching Lin, Yu Hsiang Juan, Wing P. Chan, Kun Yun Yeh, Alice M.K. Wong, Chen Ming Sung, Yu Jr Lin, Shu Chen Chang, Fang Ping Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Background: The utility of muscle health for predicting asymptomatic vertebral fracture (VF) is uncertain. We aimed to determine the effects of muscle health on bone quantity and quality in the older adults and to integrate these factors into a predictive model for VF. Methods: We prospectively recruited participants with a body mass index <37 kg/m2. The total lean mass (TLM), appendicular skeletal muscle index, presence of sarcopenia, and bone mineral density were deter-mined by dual-energy X-ray absorptiometry, and bone quality by the trabecular bone score (TBS). VF was diagnosed based on spine radiography. Results: A total of 414 females and 186 males were included; 257 participants had VF. Lower TLM was significantly associated with poorer bone quantity and quality in both males and females. A low TBS (OR: 11.302, p = 0.028) and sarcopenia (Odds ratio (OR): 2.820, p = 0.002) were significant predictors of VF in males, but not bone quantity. Moreover, integrating TBS and sarcopenia into the predictive model improved its performance. Conclusions: Although TLM was associated with bone quantity and quality in both sexes, sarcopenia and a low TBS were significant predictors of asymptomatic VF only in male participants.

Original languageEnglish
Article number1129
Pages (from-to)1-14
Number of pages14
JournalJournal of Clinical Medicine
Issue number5
Publication statusPublished - Mar 1 2021


  • Bone quality
  • Bone quantity
  • Fracture risk
  • Sarcopenia
  • Vertebral fracture

ASJC Scopus subject areas

  • Medicine(all)


Dive into the research topics of 'Integrating muscle health in predicting the risk of asymptomatic vertebral fracture in older adults'. Together they form a unique fingerprint.

Cite this