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Table 2 Demographic characteristics and their influence on each dimension estimated by logistic regression

From: How to improve the COVID-19 health education strategy in impoverished regions: a pilot study

Variable and category

n (%)

OR (95% CI)

  

GHL

CRHL

CRIRA

CRTPR

Gender

  

/

/

/

 Male

738 (44.2)

 

 Female

933 (55.8)

0.686*

(0.539‒0.872)

Age, years

     

 ≤ 19

49 (2.9)

    

 20–29

314 (18.8)

2.020

(0.801‒5.479)

2.629*

(1.100‒6.878)

4.833*

(1.935‒14.757)

0.848

(0.392‒1.765)

 30–39

385 (23.0)

2.428

(0.948‒6.673)

2.644*

(1.099‒6.946)

4.901*

(1.949‒15.047)

1.033

(0.479‒2.138)

 40–49

406 (24.3)

1.544

(0.598‒4.266)

2.916*

(1.214‒7.657)

3.984*

(1.583‒12.234)

0.502

(0.234‒1.034)

 50–59

332 (19.9)

1.060

(0.404‒2.965)

3.280*

(1.355‒8.671)

3.619*

(1.425‒11.184)

0.516

(0.238‒1.075)

 60–69

185 (11.1)

1.020

(0.374‒2.957)

4.722*

(1.901‒12.760)

4.555*

(1.753‒14.297)

0.289*

(0.127‒0.634)

Ethnicity

  

/

  

 Han

791 (47.3)

   

 Yi

680 (40.7)

0.308*

(0.230‒0.411)

0.603*

(0.480‒0.757)

0.601*

(0.451‒0.803)

 Tibetan

88 (5.3)

0.609*

(0.369‒0.997)

1.006

(0.638‒1.578)

1.535

(0.912‒2.611)

 Miao

68 (4.1)

1.550

(0.883‒2.777)

0.822

(0.487‒1.368)

0.631

(0.357‒1.110)

 Hui

22 (1.3)

2.886

(0.900‒12.913)

1.132

(0.464‒2.741)

1.168

(0.429‒3.742)

 Other

22 (1.3)

0.709

(0.271‒1.870)

2.470*

(1.020‒6.581)

1.213

(0.440‒3.471)

Marital status

  

/

/

/

 Unmarried

154 (9.2)

 

 Married

1,449 (86.7)

2.013*

(1.215‒3.355)

 Separated

2 (0.1)

0.455

(0.011‒17.363)

 Divorced

18 (1.1)

8.111*

(1.837‒58.736)

 Widowed

48 (2.9)

2.280

(0.908‒5.596)

Educational level

  

/

/

 

 Illiterate or barely literate

575 (34.4)

  

 Primary school

429 (25.7)

1.546*

(1.146‒2.087)

2.423*

(1.803‒3.266)

 Junior high school

406 (24.3)

2.915*

(2.089‒4.078)

5.072*

(3.629‒7.123)

 Senior high school / vocational high school / technical secondary school

152 (9.1)

9.141*

(5.007‒17.526)

6.956*

(4.198‒11.810)

 Junior college

90 (5.4)

12.396*

(5.060‒34.427)

9.196*

(4.690‒19.543)

 Undergraduate or above

19 (1.1)

3.689

(0.898‒19.217)

5.420*

(1.662‒24.485)

Occupation

    

/

 Teacher

18 (1.1)

   

 Medical staff

47 (2.8)

0.768

(0.131‒3.742)

11.338*

(3.183‒44.187)

2.241

(0.728‒7.129)

 Personnel of other institutions

62 (3.7)

0.881

(0.157‒4.010)

3.899*

(1.259‒12.669)

1.663

(0.565‒5.036)

 Student

29 (1.7)

17.367*

(1.580‒424.614)

9.328*

(2.176‒44.701)

7.518*

(1.756‒36.609)

 Farmer

1,404 (84.0)

0.515

(0.106‒1.894)

3.093*

(1.146‒8.784)

0.842

(0.325‒2.256)

 Worker

35 (2.1)

0.398

(0.070‒1.812)

0.906

(0.246‒3.344)

0.566

(0.167‒1.903)

 Other

76 (4.6)

1.031

(0.191‒4.445)

3.057*

(1.022‒9.586)

1.274

(0.445‒3.744)

Annual income, CNY

  

/

/

/

 ≤ 5000

784 (46.9)

 

 5000–10,000

603 (36.1)

1.533*

(1.191‒1.976)

 10,000–15,000

127 (7.6)

1.277

(0.817‒1.996)

 15,000–20,000

82 (4.9)

1.511

(0.878‒2.629)

 > 20,000

75 (4.5)

2.146*

(1.135‒4.179)

GHL

 

–

6.949*

(5.535‒8.764)

/

2.492*

(1.904‒3.270)

CRHL

 

–

–

1.171

(0.952‒1.440)

0.763*

(0.588‒0.986)

CRIRA

 

–

–

–

1.403*

(1.109‒1.775)

  1. – Not included in the model. / Variables not selected by stepwise regression method. CRHL COVID-19 related health literacy, GHL general health literacy, CRIRA COVID-19 related information report acquisition, CRTPR COVID-19 related tense psychological reactions. *P < 0.05