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Objective <p>To investigate the association between the Dietary Inflammation Index (DII) and sarcopenia in older adults, providing theoretical support for clinical prevention and treatment.</p> Methods <p>Elderly individuals aged 60 years and older in Urumqi were selected. Data were collected through questionnaires and physical examinations to assess sarcopenia prevalence. Logistic regression analyzed the relationship between DII and sarcopenia. A stepwise logistic regression model incorporating age, BMI, waist circumference, DII, and PSQI total score was constructed for prediction.</p> Results <p>Each 1-unit increase in DII significantly elevated sarcopenia risk (OR = 2.02, 95% CI: 1.49 to 2.73). The predictive model demonstrated good discrimination (AUC = 0.736 in training set, AUC = 0.742 in testing set) and calibration (Hosmer-Lemeshow test <i>P</i> &gt; 0.05). Decision curve analysis indicated significant clinical net benefit within the 15% to 45% risk threshold range.</p> Conclusion <p>Elevated dietary inflammation index represents an independent risk factor for sarcopenia in older adults. The multifactorial prediction model demonstrates robust discriminatory capability and clinical utility. Optimizing dietary patterns to reduce DII is recommended for sarcopenia prevention.</p>

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Study on the association between dietary inflammatory index and sarcopenia in older adults

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月16日

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  • Ping Tang,
  • Songda Li,
  • Xuemei Yao

摘要

Objective

To investigate the association between the Dietary Inflammation Index (DII) and sarcopenia in older adults, providing theoretical support for clinical prevention and treatment.

Methods

Elderly individuals aged 60 years and older in Urumqi were selected. Data were collected through questionnaires and physical examinations to assess sarcopenia prevalence. Logistic regression analyzed the relationship between DII and sarcopenia. A stepwise logistic regression model incorporating age, BMI, waist circumference, DII, and PSQI total score was constructed for prediction.

Results

Each 1-unit increase in DII significantly elevated sarcopenia risk (OR = 2.02, 95% CI: 1.49 to 2.73). The predictive model demonstrated good discrimination (AUC = 0.736 in training set, AUC = 0.742 in testing set) and calibration (Hosmer-Lemeshow test P > 0.05). Decision curve analysis indicated significant clinical net benefit within the 15% to 45% risk threshold range.

Conclusion

Elevated dietary inflammation index represents an independent risk factor for sarcopenia in older adults. The multifactorial prediction model demonstrates robust discriminatory capability and clinical utility. Optimizing dietary patterns to reduce DII is recommended for sarcopenia prevention.