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Table 1 Respondent characteristics and health literacy for INFORM Study 2020

From: Effect modification by geographic area on the association between health literacy and self-rated health: a nationwide cross-sectional study in Japan

  

Unweighted

Weighted

 

Health literacy

  

N

%

%

 

Mean

95%CI

Sociodemographic characteristics

Age

20–39

692

19.7

23.9

 

3.52

[3.46–3.57]

 

40–54

969

27.6

26.8

 

3.61

[3.57–3.65]

 

55–69

996

28.4

23.9

 

3.51

[3.47–3.56]

 

70-

854

24.3

25.4

 

3.17

[3.10–3.24]

 

Mean age [95%CI]

  

54.3 [53.6–55.1]

   

Gender

Male

1599

45.5

49.3

 

3.46

[3.42–3.50]

 

Female

1912

54.5

50.7

 

3.45

[3.40–3.49]

Educational attainment

Junior high school

282

8.0

8.8

 

2.86

[2.73–2.99]

 

High school

1368

39.0

38.6

 

3.39

[3.34–3.43]

 

Vocational school/2-year college

819

23.3

21.9

 

3.54

[3.49–3.58]

 

University and above

1031

29.4

30.4

 

3.64

[3.60–3.68]

 

missing

11

0.3

0.3

   

Household income (yen)

Less than 2 million

326

9.3

9.7

 

3.11

[2.98–3.23]

 

2–4 million

948

27.0

26.4

 

3.38

[3.33–3.44]

 

4–6 million

777

22.1

21.8

 

3.48

[3.42–3.53]

 

6–8 million

571

16.3

16.3

 

3.54

[3.49–3.60]

 

8–10 million

366

10.4

10.7

 

3.58

[3.50–3.66]

 

More than 10 million

423

12.0

12.1

 

3.67

[3.60–3.74]

 

missing

100

2.8

3.0

   

Marital status

Married

2456

70.0

66.9

 

3.49

[3.46–3.52]

 

Never married

597

17.0

19.4

 

3.50

[3.44–3.56]

 

Divorced

242

6.9

8.1

 

3.09

[2.94–3.24]

 

Widowed

205

5.8

5.4

 

3.37

[3.26–3.47]

 

missing

11

0.3

0.3

   

Employment status

Employed (Managerial and professional)

800

22.8

23.2

 

3.67

[3.63–3.72]

 

Employed (other)

1424

40.6

40.2

 

3.48

[3.44–3.52]

 

Not employed (homemaker/ student/ unemployed/ retired)

1281

36.5

36.6

 

3.28

[3.23–3.34]

 

missing

6

0.2

    

Geographic characteristics

Area

Hokkaido/Tohoku area

394

11.2

11.6

 

3.41

[3.29–3.54]

 

Kanto area

1,187

33.8

33.3

 

3.52

[3.47–3.56]

 

Chubu area

686

19.5

18.4

 

3.37

[3.31–3.42]

 

Kinki area

552

15.7

16.2

 

3.47

[3.41–3.54]

 

Chugoku/Shikoku area

318

9.1

9.2

 

3.40

[3.33–3.48]

 

Kyusyu area

374

10.7

11.3

 

3.45

[3.35–3.56]

Municipality size

21 major cities

1020

29.1

28.8

 

3.54

[3.48–3.59]

 

Other large cities

819

23.3

23.0

 

3.45

[3.38–3.51]

 

Smaller cities

1375

39.2

40.0

 

3.42

[3.37–3.46]

 

Towns and villages

297

8.5

8.3

 

3.34

[3.24–3.44]

Self-rated health

Excellent

114

3.2

3.7

 

3.78

[3.63–3.93]

 

Very good

577

16.4

16.8

 

3.71

[3.65–3.77]

 

Good

1990

56.7

55.6

 

3.47

[3.44–3.51]

 

Fair

745

21.2

21.2

 

3.21

[3.14–3.28]

 

Poor

82

2.3

2.5

 

2.92

[2.64–3.19]

 

missing

3

0.1

0.1

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