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. 2024 Mar 1;59(2):168–176. doi: 10.1097/MCG.0000000000001985

TABLE 5.

The Correlation Between Different Types of PA and LSM

Variables Model 1 β (95% CI)
P
Model 2 β (95% CI)
P
Model 3 β (95% CI)
P
Total PA −0.001 (−0.002, 0.000) 0.20145 −0.001 (−0.002, 0.000) 0.05319 −0.001 (−0.002, 0.000) 0.28150
Leisure-time PA −0.009 (−0.013, −0.005) 0.00001 −0.011 (−0.015, −0.006) <0.00001 −0.004 (−0.008, 0.000) 0.06947
Occupation-related PA −0.000 (−0.001, 0.001) 0.69497 −0.000 (−0.002, 0.001) 0.37078 −0.000 (−0.001, 0.001) 0.39264
Transportation-related PA 0.004 (−0.004, 0.012) 0.30872 0.003 (−0.005, 0.011) 0.44081 0.004 (−0.003, 0.012) 0.22965

Result variable: LSM, liver stiffness measure.

Exposure variable: different types of physical activity.

Model 1: no covariates were adjusted. Model 2: age, gender, and race were adjusted. Model 3: age, gender, race, educational level, smoking status, BMI, WHR, ALT, AST, ALP, GGT, total cholesterol, triglyceride, HDL-C, UA, CRP, and glycohemoglobin were adjusted.

In the subgroup analysis stratified by gender and age, the model is not adjusted for gender and age, respectively.