ADRB3 Polymorphism Associated with BMI Gain in Japanese Men

Table 3

Multiple regression analysis for annual BMI gain and variables.

	Estimate	SE	𝑡 value	Pr(>|𝑡|)
Intercept	0.171	0.096	1.788	0.075
Age	−0.000	0.000	−2.241	0.026*
Sex	0.014	0.060	0.233	0.816
Alcohol intake	0.000	0.000	−0.286	0.776
Current exercise	−0.000	0.028	−0.338	0.736
Working style	0.013	0.037	0.359	0.720
Smoking status	−0.057	0.028	−2.053	0.041*
ADRB3 (Trp/Arg)	−0.000	0.037	−0.078	0.938
ADRB3 (Arg/Arg)	0.216	0.082	2.626	0.009**
LDL	0.000	0.000	3.449	<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 𝑅²=.0796 (F-statistic = 2.874, 𝑃<.01).