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

Table 4 Correlations between variables for male and female participants

Variables	1	2	3	4	5	6	7	8	9	10
1. Quality of life	–	−0.21**	0.16*	0.43***	0.62***	0.49***	0.40***	0.43***	0.55***	0.65***
2. Age	−0.18*	–	−0.18*	−0.02	−0.19*	−0.07	−0.02	0.04	−0.11	−0.09
3. Income	0.23**	−0.27***	–	0.23**	0.24**	0.18*	−0.03	0.25**	0.23**	0.25**
4. HR	0.37***	−0.08	0.11	–	0.55***	0.48***	0.36***	0.58***	0.63***	0.80***
5. SG	0.59***	−0.23**	0.32***	0.52***	–	0.45***	0.50***	0.50***	0.76***	0.84***
6. PA	0.47***	−0.06	0.18*	0.50***	0.59***	–	0.16*	0.53***	0.62***	0.72***
7. IR	0.41***	−0.15*	0.21**	0.46***	0.58***	0.39***	–	0.22**	0.39***	0.56***
8. N	0.38***	0.04	0.17*	0.62***	0.57***	0.53***	0.45***	–	0.61***	0.75***
9. SM	0.57***	−0.11	0.26**	0.56***	0.79***	0.62***	0.50***	0.56***	–	0.88***
10. Overall	0.59***	−0.12	0.27***	0.78***	0.86***	0.77***	0.70**	0.76***	0.85***	–

* p < 0.05, ** p < 0.01, *** p < 0.001
Correlations between variables for female participants are shown above and to the right of the diagonal and correlations between variables for male participants are shown below and to the left of the diagonal

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