Table 5: Multiple regression analysis for annual BMI gain and variables in Japanese women.

EstimateSE valuePr

Intercept−0.4210.474−0.8880.392
Age0.0040.0120.3630.723
Alcohol intake0.0000.0000.4860.636
Current exercise−0.3570.263−1.3560.200
Working style0.1470.1530.9580.357
Smoking status0.0570.1830.3090.763
ADRB3 (Trp/Arg)0.1270.2560.4970.628
LDL0.0050.0031.7460.106

From the stepwise multiple regression analysis, age, 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 , ).