Table 2.

Subgroup statistics.

Variables	[45–60.25)	[60.25–75]	Diff	[58.25–60.25)	[60.25–62.25]	Diff
	(1)	(2)	(3)	(4)	(5)	(6)
Junk food intake	0.495 (0.500)	0.455 (0.498)	−0.040***	0.514 (0.500)	0.453 (0.498)	−0.061**
Gender	0.487 (0.500)	0.512 (0.500)	0.025**	0.472 (0.500)	0.477 (0.500)	0.005
Education	2.111 (1.025)	1.532 (0.776)	−0.579***	1.799 (1.028)	1.600 (0.872)	−0.199***
Self-rated health	3.168 (1.275)	3.554 (1.252)	0.386***	3.481 (1.256)	3.453 (1.287)	−0.028
Work status	0.261 (0.439)	0.099 (0.299)	−0.162***	0.165 (0.372)	0.130 (0.337)	−0.035*
Household incomes per capita	10,679.450 (10,129.870)	8,177.779 (8,858.006)	−2,501.671***	8,980.302 (8,820.643)	9,265.875 (9,036.743)	285.573
Pension	0.018 (0.002)	0.550 (0.008)	0.532***	0.062 (0.009)	0.425 (0.018)	0.363***
Observation	6,384	3,611		757	777

The values above parentheses represent the mean values of the variables. The values in Column (3) represent the mean difference between Column (1) and (2), i.e., (2)–(1) = (1). The values in Column (6) represent the mean difference between Column (4) and (5), i.e., (5)–(4) = (6). Analysis in Column (1) includes samples aged 45–60. Analysis in Column (2) includes samples aged 61–75. Analysis in Column (4) includes samples aged 59 and 60. Analysis in Column (5) includes samples aged 61 and 62. Standard deviation in parentheses. ^***p < 0.01, ^**p < 0.05, ^*p < 0.1.

Source: CFPS2014.