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Objective <p>This study aimed to assess the relationship between abdominal fat distribution (AFD) and urinary albumin/creatinine ratio (UACR) in Chinese adults.</p> Methods <p>823 patients with type 2 diabetes mellitus(T2DM) were selected. Abdominal visceral fat area (VFA) and subcutaneous fat area (SFA) were measured using bioelectrical impedance analysis (BIA). Patients were divided into four groups: low VFA /low SFA, low VFA /high SFA, high VFA /low SFA, and high VFA /high SFA based on the median values (low: &lt; median, high: ≥median).</p> Results <p>In the multifactor analysis after adjusting for relevant factors, VFA, waist-to-height ratio (WHtR), waist-hip ratio (WHR), and waist circumference (WC) showed significant positive correlations with UACR, while SFA and BMI did not. AFD combinations were independent predictors of UACR. The risk of UACR30-300&#xa0;mg/g was highest in the high VFA/low SFA group (OR = 3.12), and for UACR &gt; 300&#xa0;mg/g, it was highest in the high VFA/high SFA group (OR = 24.69). The areas under the receiver operating characteristic (ROC) curvefor VFA prediction of UACR ≥ 30&#xa0;mg/g was 0.69, significantly greater than that for WHtR, WHR, and WC. Optimal cut-off values were 98.8&#xa0;cm² for VFA. When analyzed by gender, the optimal cut-off values for VFA were 98.8&#xa0;cm² for males and 102.3&#xa0;cm² for females.</p> Conclusion <p>Central obesity indicators (VFA, WHtR, WHR, WC) were associated with UACR. VFA was the strongest predictor for UACR ≥ 30&#xa0;mg/g.</p>

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Association between abdominal fat distribution and urinary albumin/creatinine ratio in patients with type 2 diabetes mellitus

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  • 发表日期：

    2025年6月18日

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  • Tianlu Shi,
  • Ying Yang,
  • Yunxia Liu,
  • Min Zhang,
  • Junran Shu,
  • Shujin Wang,
  • Tianxiao Zhang,
  • Yu Niu

摘要

Objective

This study aimed to assess the relationship between abdominal fat distribution (AFD) and urinary albumin/creatinine ratio (UACR) in Chinese adults.

Methods

823 patients with type 2 diabetes mellitus(T2DM) were selected. Abdominal visceral fat area (VFA) and subcutaneous fat area (SFA) were measured using bioelectrical impedance analysis (BIA). Patients were divided into four groups: low VFA /low SFA, low VFA /high SFA, high VFA /low SFA, and high VFA /high SFA based on the median values (low: < median, high: ≥median).

Results

In the multifactor analysis after adjusting for relevant factors, VFA, waist-to-height ratio (WHtR), waist-hip ratio (WHR), and waist circumference (WC) showed significant positive correlations with UACR, while SFA and BMI did not. AFD combinations were independent predictors of UACR. The risk of UACR30-300 mg/g was highest in the high VFA/low SFA group (OR = 3.12), and for UACR > 300 mg/g, it was highest in the high VFA/high SFA group (OR = 24.69). The areas under the receiver operating characteristic (ROC) curvefor VFA prediction of UACR ≥ 30 mg/g was 0.69, significantly greater than that for WHtR, WHR, and WC. Optimal cut-off values were 98.8 cm² for VFA. When analyzed by gender, the optimal cut-off values for VFA were 98.8 cm² for males and 102.3 cm² for females.

Conclusion

Central obesity indicators (VFA, WHtR, WHR, WC) were associated with UACR. VFA was the strongest predictor for UACR ≥ 30 mg/g.