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Imaging-based lean mass distribution and diabetic nephropathy in the US population
Xiaoqian Zhang1, Bin Han2, Weijie Yuan1
1Department of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
Lean body mass distribution, specifically higher android lean mass index and android-gynoid lean mass ratio, is linked to diabetic nephropathy prevalence in US adults with diabetes.
Area of Science:
- Endocrinology
- Nephrology
- Body Composition Analysis
Background:
- Diabetic nephropathy (DN) is a major complication of diabetes.
- Understanding factors influencing DN risk is crucial for prevention and management.
- Lean body mass (LBM) distribution may play a role in DN development.
Purpose of the Study:
- To investigate the association between LBM distribution and DN in the US diabetic population.
- To explore the relationship between regional LBM and the risk of developing diabetic nephropathy.
Main Methods:
- Cross-sectional study using NHANES data (2011-2018).
- Body composition assessed via dual-energy X-ray absorptiometry (DXA).
- Multivariable logistic and linear regression analyses employed.
Main Results:
- Increased android lean mass index (LMI) and android-gynoid lean mass ratio (AGLR) were associated with higher DN prevalence, even after adjustments.
- These associations were significant in males.
- A positive linear correlation was found between AGLR and albumin-to-creatinine ratio (ACR).
Conclusions:
- Elevated android LMI and AGLR are linked to DN prevalence in individuals with diabetes.
- AGLR is also significantly associated with ACR, a marker of kidney damage.
- Lean mass distribution is an important consideration for assessing DN risk.
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