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<p>To evaluate the associations and comparative performance of novel anthropometric and metabolic indices with osteopenia and osteoporosis among middle-aged and older Chinese adults. A cross-sectional study was conducted among 10,142 Chinese adults aged ≥ 45 years who underwent quantitative computed tomography (QCT) for lumbar spine BMD assessment. Participants were categorized as normal, osteopenia, and osteoporosis. Associations and predictive capabilities of anthropometric indices were analyzed using multivariable logistic regression and receiver operating characteristic (ROC) curve analyses. The prevalences of osteopenia and osteoporosis were 35.14% and 14.05%, respectively. After adjusting for confounders, weight-adjusted waist index (WWI), relative fat mass (RFM), a body shape index (ABSI), triglyceride–glucose (TyG) index, and glycated hemoglobin (HbA1c) were found to be independently associated with osteopenia and osteoporosis. Among all indices, WWI demonstrated the strongest predictive value for osteoporosis (area under the curve = 0.726), followed by RFM and ABSI. In contrast, BMI and the visceral adiposity index (VAI) showed no significant associations with low BMD. Indices associated with central adiposity and metabolic dysfunction, especially WWI, may provide more precise prediction of osteoporosis risk. Incorporating such indices into early risk stratification for osteoporosis among older Chinese adults may have potential clinical utility.</p>

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Association of central adiposity and metabolic markers with osteopenia and osteoporosis in Chinese adults: a QCT-based cross-sectional study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月11日

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  • Lihua Wang,
  • Pingping Yu,
  • Yao Chen,
  • Mengxue Chen,
  • Jing Deng,
  • Lehua Yu

摘要

To evaluate the associations and comparative performance of novel anthropometric and metabolic indices with osteopenia and osteoporosis among middle-aged and older Chinese adults. A cross-sectional study was conducted among 10,142 Chinese adults aged ≥ 45 years who underwent quantitative computed tomography (QCT) for lumbar spine BMD assessment. Participants were categorized as normal, osteopenia, and osteoporosis. Associations and predictive capabilities of anthropometric indices were analyzed using multivariable logistic regression and receiver operating characteristic (ROC) curve analyses. The prevalences of osteopenia and osteoporosis were 35.14% and 14.05%, respectively. After adjusting for confounders, weight-adjusted waist index (WWI), relative fat mass (RFM), a body shape index (ABSI), triglyceride–glucose (TyG) index, and glycated hemoglobin (HbA1c) were found to be independently associated with osteopenia and osteoporosis. Among all indices, WWI demonstrated the strongest predictive value for osteoporosis (area under the curve = 0.726), followed by RFM and ABSI. In contrast, BMI and the visceral adiposity index (VAI) showed no significant associations with low BMD. Indices associated with central adiposity and metabolic dysfunction, especially WWI, may provide more precise prediction of osteoporosis risk. Incorporating such indices into early risk stratification for osteoporosis among older Chinese adults may have potential clinical utility.