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Table 1 Covariate measurement and attributes

From: What intensity of exercise is most suitable for the elderly in China? A propensity score matching analysis

Variable

Mean (SD) or frequency (%)

Gender (Female)

51.09

Age

66.16 (4.02)

Marital status

 Married and live with a spouse

80.68

 Married but not living with spouse temporarily for reasons such as work

4.17

 Separated, no longer live together as a couple anymore

0.26

 Divorced

0.85

 Widowed

13.45

 Never married

0.56

 Cohabitation

0.04

Education background

 No formal education (illiterate)

26.80

 Did not finish primary school

24.63

 Sishu/Home school/Elementary school

21.43

 Middle school

17.29

 High school

6.60

 Vocational school

2.09

 Two−/Three-Year College/Associate degree

0.77

 Four-Year College/Bachelor’s degree /Master’s degree/Doctoral degree/Ph.D.

0.39

Smoking (Yes)

47.58

Drinking

 No

69.98

 Drink but less than once a month

7.38

 Drink more than once a month

22.64

Sleep duration per day

6.19 (2.04)

Residential area

 Central of City/Town

19.55

 Urban-Rural Integration Zone

7.25

 Rural

72.83

 Special Zone

0.37

Insurance (Yes)

96.81