Table 3: Multiple regression analysis for annual BMI gain and variables.

EstimateSE valuePr

Intercept0.1710.0961.7880.075
Age−0.0000.000−2.2410.026*
Sex0.0140.0600.2330.816
Alcohol intake0.0000.000−0.2860.776
Current exercise−0.0000.028−0.3380.736
Working style0.0130.0370.3590.720
Smoking status−0.0570.028−2.0530.041*
ADRB3 (Trp/Arg)−0.0000.037−0.0780.938
ADRB3 (Arg/Arg)0.2160.0822.6260.009**
LDL0.0000.0003.449<0.001**

From the stepwise multiple regression analysis, age, sex, alcohol intake, current exercise, working style, smoking status, LDL, and the ADRB3 polymorphism were selected for the final model of the predictor of BMI gain, adjusted (F-statistic = 2.874, ).