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Table 3 Results of multivariate logistic regression of refractive errors in Han and Tibetan

From: Prevalence and risk factors of refractive error in Qinghai, China: a cross-sectional study in Han and Tibetan adults in Xining and surrounding areas

 

Myopia

Hyperopia

High myopia

Astigmatism

Odds Ratio

95%CI lower

95%CI upper

P value

Odds Ratio

95%CI lower

95%CI upper

P value

Odds Ratio

95%CI lower

95%CI upper

P value

Odds Ratio

95%CI lower

95%CI upper

P value

Ethnicity

0.58

0.42

0.79

0.000

0.93

0.65

1.33

0.688

0.40

0.15

1.10

0.077

0.78

0.59

1.02

0.070

Sex

1.20

0.77

1.86

0.421

0.85

0.52

1.38

0.502

1.88

0.60

5.90

0.279

1.22

0.85

1.76

0.278

Age period

 50–54

1.00

   

1.00

   

1.00

   

1.00

   

 55–59

1.11

0.76

1.61

0.599

2.92

1.81

4.71

0.000

0.53

0.18

1.59

0.260

1.62

1.17

2.25

0.004

 60–64

1.17

0.77

1.78

0.460

5.24

3.27

8.39

0.000

0.62

0.20

1.95

0.415

2.29

1.60

3.28

0.000

 65+

1.60

1.04

2.45

0.032

6.46

3.92

10.65

0.000

0.53

0.15

1.86

0.322

4.29

2.80

6.57

0.000

Time in rural area

0.99

0.99

1.00

0.048

1.00

0.99

1.00

0.323

0.99

0.97

1.01

0.510

0.99

0.99

1.00

0.045

Education

  < =primary school

1.00

   

1.00

   

1.00

   

1.00

   

 middle/High school

0.99

0.66

1.48

0.965

1.34

0.85

2.13

0.209

0.34

0.10

1.15

0.082

1.01

0.71

1.44

0.967

 undergraduate/graduate

1.82

1.06

3.13

0.031

0.77

0.33

1.79

0.547

0.57

0.14

2.30

0.431

1.05

0.63

1.73

0.857

Occupation

1.26

0.84

1.89

0.260

0.81

0.50

1.32

0.400

1.63

0.51

5.24

0.414

0.79

0.55

1.15

0.220

Active level

0.69

0.53

0.91

0.007

0.82

0.60

1.12

0.210

1.03

0.45

2.32

0.950

0.89

0.71

1.13

0.347

BMI

0.95

0.91

0.99

0.015

0.99

0.94

1.03

0.556

1.01

0.91

1.12

0.820

1.00

0.97

1.04

0.924

Pterygium

0.90

0.52

1.56

0.709

1.92

1.15

3.22

0.013

0.26

0.03

2.14

0.210

1.50

0.93

2.41

0.097

Smoking

1.16

0.75

1.80

0.496

0.98

0.60

1.61

0.942

0.41

0.11

1.53

0.187

1.33

0.92

1.93

0.127

  1. Note: Multivariate logistic regression model with 10 indicators including ethnicity, sex, age period, rural level, education level, occupation, active level, BMI, pterygium status of the same eye, and smoking practice was used to assess risk factors for myopia, hyperopia, high myopia and astigmatism. Myopia and hyperopia results were compared to emmetropic individuals. High myopia results were compared to individuals with light or moderate myopia. OR of ethnicity was Tibetan/Han. OR of sex was female/male. OR of occupation was close-workers/non close-workers. OR of Pterygium was the eye with pterygium/eye without pterygium. OR of smoking was individual smoked/individual never smoked