Table 1.

Determinants of life satisfaction in univariate and multiple regression analysis

Variables	Univariate regression		Multiple regression
	Coefficient	Robust SE	Coefficient	Robust SE
Gender
Male
Female	−0.22	0.23	−0.23	0.27
Age
<25
25-34	0.27	0.42	0.21	0.41
35-44	−0.31	0.45	−0.23	0.48
45-54	−0.43	0.49	−0.11	0.54
55-64	−0.60	0.51	−0.32	0.57
>65	−0.20	0.51	0.10	0.55
Marital status
Never married
Married	0.54***	0.26	0.91*	0.30
Others (widowed, divorced, or separated)	−0.66	0.44	0.58	0.54
Years of schooling
0-8
9-13	0.33	0.36	−0.03	0.38
≥14	0.89**	0.34	0.45	0.39
Employment status
Unemployed
Employed	−0.06	0.44	−0.27	0.43
Homemaker	0.12	0.49	0.55	0.51
Others	−0.12	0.49	0.04	0.50
Smoking
No
Yes	−0.74***	0.33	−0.73**	0.32
Health-related quality of life
Poor
Moderate	1.84*	0.47	1.70*	0.52
Good	3.43*	0.47	3.02*	0.56
BMI
Normal
Overweight	0.26	0.24	0.26	0.23
Obese	−1.15*	0.41	−0.73****	0.41
Presence of any chronic diseases
No
Yes	−1.38*	0.22	−0.41	0.27
Constant			3.55*	0.85
Adjusted R2			0.19
F (19, 580)			7.96
Breusch-Pagan			41.94
Ramsey RESET			1.82

*Significant at P<0.001, **Significant at P<0.01, ***Significant at P<0.05, ****Significant at P<0.1. BMI=Body mass index, RESET=Ramsey regression equation specification error test, SE=Standard error