Correlation between Predicted Lean Mass and Abdominal Aortic Calcification in US Adults

Abstract

Abstract Background The association between different body compositions and artery calcification has been proven in several studies. Evidence is still limited concerning abdominal aortic calcification (AAC) and predicted lean mass. This finding examined the relationship between predicted lean mass and abdominal aortic calcification in the United States (US) adults based on 2013–2014 National Health and Nutrition Examination Survey (NHANES). Methods Herein, 3077 respondents were selected from NHANES. Outcome variables were AAC score and severe AAC. We applied survey-weighted multiple regression analysis to examine the correlation between predicted lean mass and AAC. The restricted cubic spline was carried out to depict the linear correlation between predicted lean mass and AAC. Furthermore, we used stratification analysis to find if the correlation of predicted lean mass with severe AAC was sustained across various subclasses. Results Compared to other groups, participants in the first quintile presented higher AAC scores and a higher incidence of severe AAC. The weighted multivariable regression analysis indicated that predicted lean mass showed independent and significant inverse relationships to AAC score and severe AAC (all P < 0.05). Restricted cubic splines observed that the correlation between predicted lean mass and AAC score, AAC severe were linear (P for non-linearity > 0.05). Relationship between predicted lean mass and severe AAC was still significant in most subclasses. Conclusions Predicted lean mass was adversely and remarkably correlated with AAC in US adults.