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Table 2 Bivariate associations between demographic characteristics and depressive symptoms (N = 1,186)

From: Association between Internet use and depressive symptoms among older adults in two regions of Myanmar: a cross-sectional study

 

GDS (Linear regression)

B

SE

95% CI

p-value

Adj R-squared

Internet

Do not use

ref

     

Use

-1.59

0.23

-2.04

-1.13

 < 0.01

0.04

Age

60–74

ref

     

75 or more

0.35

0.21

-0.05

0.76

0.09

0.002

Sex

Male

ref

     

Female

1.04

0.18

0.69

1.39

 < 0.01

0.03

Education

No school

ref

     

Monastic school

-0.82

0.34

-1.50

-0.15

0.02

0.05

Some/Finished primary school

-1.19

0.33

-1.84

-0.54

 < 0.01

 

Middle school or higher

-2.23

0.33

-2.88

-1.57

 < 0.01

 

ADL

Not independent

ref

     

Independent

-1.13

0.25

-1.63

-0.63

 < 0.01

0.02

Region

Yangon

ref

     

Bago

0.88

0.18

0.54

1.23

 < 0.01

0.02

Meeting friends/acquaintances

Hardly/None

ref

     

Less than once a week

-0.84

0.31

-1.45

-0.22

 < 0.01

0.01

Once a week or more

-0.22

0.24

-0.70

0.26

0.37

 

Subjective economic status

Difficult/Very difficult

ref

     

Average or higher

-2.95

0.2

-3.35

-2.55

 < 0.01

0.15

  1. Results of bivariate analysis in which each the independent variable is entered into each model
  2. ADL Activity of Daily Living, B Unstandardized Regression Coefficient, CI Confidence Interval, GDS Geriatric Depression Scale, SE Standard Error