Environmental Health and Preventive Medicine

Table 5 Multiple linear regression for quality of life by gender

From: The influence of health-promoting lifestyles on the quality of life of retired workers in a medium-sized city of Northeastern China

Variables	Male (n = 171)						Female (n = 172)
Variables	Q1	Q2	D1	D2	D3	D4	Q1	Q2	D1	D2	D3	D4
Age	−0.08	−0.08	−0.11	−0.09	−0.10	0.02	0.06	−0.19**	−0.17*	−0.18**	−0.19**	0.08
Income	0.05	0.05	0.01	0.01	0.04	0.01	0.03	0.04	0.01	0.08	0.11	0.01
HR	0.01	0.33***	0.01	0.03	0.05	0.02	0.05	0.27**	0.13	0.06	0.10	0.01
SG	0.44***	0.36**	0.02	0.30*	0.04	0.30*	0.28**	0.15	0.17	0.55***	0.12	0.29*
PA	0.10	0.29**	0.08	0.11	0.05	0.17*	0.28**	0.25**	0.22*	0.18*	0.11	0.16*
IR	0.08	0.07	0.02	0.11	0.14	0.02	0.19*	0.03	0.04	0.02	0.36***	0.15*
N	0.06	0.01	0.02	0.05	0.06	0.07	0.21*	0.01	0.13	0.06	0.03	0.23*
SM	0.07	0.010	0.40	0.13	0.17	0.12	0.08	0.26*	0.10	0.01	0.09	0.16
Adjusted R ²	0.33***	0.28***	0.27***	0.35***	0.20***	0.26***	0.39***	0.28***	0.26***	0.45***	0.28***	0.27***

* p < 0.05, ** p < 0.01, *** p < 0.001
Scores shown are standardized regression coefficients (β). R ² is the coefficient of determination

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