Figures & data
Figure 1 Regional body composition measurement and regions of interest (ROI) in the android and gynoid by dual-energy X-ray absorptiometry (DXA).
![Figure 1 Regional body composition measurement and regions of interest (ROI) in the android and gynoid by dual-energy X-ray absorptiometry (DXA).](/cms/asset/5ed2e07c-b666-4b93-a608-fbc4a9f550e4/dmso_a_12155223_f0001_c.jpg)
Table 1 Characteristics of the Study Population by CAP
Figure 2 Proportion of different grades of hepatic steatosis in diabetes-specific groups. S0: normal, fatty infiltration<5%; S1: mild, 5%~33%; S2: moderate, 33%~66%; S3: severe, ≥66%.
![Figure 2 Proportion of different grades of hepatic steatosis in diabetes-specific groups. S0: normal, fatty infiltration<5%; S1: mild, 5%~33%; S2: moderate, 33%~66%; S3: severe, ≥66%.](/cms/asset/34b96d56-9bb1-452a-a0aa-ef654d1cda2f/dmso_a_12155223_f0002_c.jpg)
Figure 3 Association between different parameters of adipose distribution and CAP, stratified by NGT, prediabetes and diabetes, with LOWESS smooth for trend.
![Figure 3 Association between different parameters of adipose distribution and CAP, stratified by NGT, prediabetes and diabetes, with LOWESS smooth for trend.](/cms/asset/50afce22-2359-4ecc-860b-6aacfbf37b22/dmso_a_12155223_f0003_c.jpg)
Table 2 Interaction Between Adiposity Measures and Glycemic Status on Presence of Hepatic Steatosis in the Overall Group
Table 3 Association of Prevalence of Fatty Liver Disease with Different Parameters of Adipose Distribution, Sorted by Glycemic Status