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Background <p>Osteosarcopenia is a syndrome associated with aging, characterized by the simultaneous occurrence of two conditions: osteopenia and sarcopenia. The association between various fat mass distributions across the body and osteosarcopenia is not clear.</p> Methods <p>Cross-sectional data from the PoCOsteo study, involving 1,897 participants, were used. T-score was used to define osteopenia. Sarcopenia was identified based on the skeletal muscle mass index (SMI), handgrip strength measurements, and/or a walking speed. Body fat distribution was assessed using Dual X-ray absorptiometry.</p> Results <p>Regression models, after adjustment for covariates—age, gender, marital status, tobacco use, income, education, occupation, and hypertension—revealed a negative association between various fat deposits—including total, gynoid, trunk, arm, and android fat—as well as indices of body mass index (BMI) and the trunk-to-limb fat mass ratio, with both osteoporosis and sarcopenia. A significant inverse relationship was also observed between osteosarcopenia and total fat (OR = 0.946, 95% CI: 0.918–0.975), android fat (OR = 0.932, 95% CI: 0.911–0.953), trunk fat (OR = 0.927, 95% CI: 0.903–0.952), and BMI (OR = 0.738, 95% CI: 0.703–0.775).</p> Conclusion <p>Osteosarcopenia and its components (osteoporosis and sarcopenia) are inversely associated with BMI and fat mass, particularly in the trunk and android regions.</p>

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The association between body fat distribution and osteosarcopenia in older adults: evidence from the PoCOsteo study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月26日

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  • Ali Torabi,
  • Sima Afrashteh,
  • Nazila Moftian,
  • Hamid Ghalandari,
  • Akram Farhadi,
  • Hadi Emamat,
  • Iraj Nabipour,
  • Bagher Larijani

摘要

Background

Osteosarcopenia is a syndrome associated with aging, characterized by the simultaneous occurrence of two conditions: osteopenia and sarcopenia. The association between various fat mass distributions across the body and osteosarcopenia is not clear.

Methods

Cross-sectional data from the PoCOsteo study, involving 1,897 participants, were used. T-score was used to define osteopenia. Sarcopenia was identified based on the skeletal muscle mass index (SMI), handgrip strength measurements, and/or a walking speed. Body fat distribution was assessed using Dual X-ray absorptiometry.

Results

Regression models, after adjustment for covariates—age, gender, marital status, tobacco use, income, education, occupation, and hypertension—revealed a negative association between various fat deposits—including total, gynoid, trunk, arm, and android fat—as well as indices of body mass index (BMI) and the trunk-to-limb fat mass ratio, with both osteoporosis and sarcopenia. A significant inverse relationship was also observed between osteosarcopenia and total fat (OR = 0.946, 95% CI: 0.918–0.975), android fat (OR = 0.932, 95% CI: 0.911–0.953), trunk fat (OR = 0.927, 95% CI: 0.903–0.952), and BMI (OR = 0.738, 95% CI: 0.703–0.775).

Conclusion

Osteosarcopenia and its components (osteoporosis and sarcopenia) are inversely associated with BMI and fat mass, particularly in the trunk and android regions.