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Table 1 Demographic and disease characteristics of participants (N = 202)

From: Path analysis of the influence of digital health literacy on self-management behaviour among elderly patients with chronic diseases in rural China

Variable

N (%)

Self-management behaviours \(\:\stackrel{-}{\varvec{x}}\)(SD)

T/F

p

Gender

    

Male

113(55.9)

28.88(9.90)

1.785

0.076

Female

89(44.1)

26.47(8.97)

Age

    

<70

119(58.9)

29.37(9.54)

2.833

0.005

≥ 70

83(41.1)

25.55(9.18)

Marital status

    

Married

174(86.1)

28.31(9.74)

1.840

0.067

Not married

28(13.9)

24.75(7.84)

Education level

    

Illiterate

47(23.3)

22.68(8.01)

19.998

< 0.001

Elementary school

93(46.0)

26.87(8.60)

Junior high school and above

62(30.7)

33.13(9.51)

Type of work before retirement

    

Nonagricultural households

71(35.1)

30.70(9.83)

3.235

0.001

Farmer household

131(64.9)

26.25(9.0)

Pension

    

≤ 500 RMB

105(52.0)

25.28(8.74)

12.326

< 0.001

500 ~ 1000

34(16.8)

27.15(9.44)

≥ 1000 RMB

63(31.2)

32.41(9.37)

Medical payment methods

    

Medical insurance for urban and rural residents

171(84.7)

27.50(9.38)

2.698

0.07

Urban employee resident medical insurance

22(10.9)

31.77(9.23)

Self-paid/other

9(4.5)

24.11(11.84)

Duration of Mobile internet use

    

≤ 3 h

131(64.9)

26.64(8.62)

-2.403

0.017

>3 h

71(35.1)

29.98(10.81)

Number of chronic diseases

    

1

60(29.7)

30.77(11.12)

2.614

0.01

≥ 2

142(70.3)

26.57(8.55)

Years of illness

    

<10

139(68.8)

26.87(8.95)

-2.108

0.036

≥ 10

63(31.2)

29.90(10.56)

Disease burden

    

Yes

92(45.5)

24.80(8.69)

-4.269

< 0.001

No

110(54.4)

30.34(9.55)

  1. SD: standard deviation