Imaging-based lean mass distribution and diabetic nephropathy in the US population
Authors' conclusion
The present study suggests that elevated android LMI and AGLR are associated with the prevalence of DN in individuals with diabetes. Moreover, AGLR also shows a statistically significant association with ACR. These findings highlight the importance of considering lean mass distribution when assessing the risk of DN.
Study context
- Population
- US population with diabetes, NHANES 2011 to 2018
- Exposure
- Regional lean body mass distribution and DN
- Outcome
- Prevalence of DN by regional lean body mass distribution
Methodological detailsNHANES 2011 to 2018, DXA-assessed body composition, multivariable logistic regression, linear regression
- NHANES 2011 to 2018
- DXA-assessed body composition
- Multivariable logistic regression
- Linear regression
Main finding
As reported in the abstract
Prevalence of DN
- Increases in android lean mass index (LMI) and AGLR significantly associated with higher prevalence of DN (adjusted for sex, age, race, diabetes duration, blood pressure, hemoglobin A1c (HbA1c), non-HDL-C)
Observational data: associations, not effects.
Further findings
DN prevalence in males
- Associations remained statistically significant in males
AGLR and ACR
- Positive linear correlation between AGLR and ACR in univariable and multivariable linear regression
- P < 0.05
Original publication
Imaging-based lean mass distribution and diabetic nephropathy in the US population. Diabetes Res Clin Pract. Published 3 June 2025. doi:10.
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