Table 4 Univariate and multivariate logistic regression show factors that predict dissatisfaction of eye care

Sex (male)

1.14

(0.86–1.50)

0.353

–

–

–

Age (50–60 yrs)

0.78

(0.59–1.03)

0.075

0.75

(0.54–1.06)

0.107

Village (neighborhood of healthcare facility)

4.00

(2.97–5.38)

< 0.001

3.88

(2.85–5.28)

< 0.001

Years of residence (< 40)

0.74

(0.54–1.01)

0.059

0.77

(0.53–1.11)

0.163

Education (≤ junior high school)

1.11

(0.81–1.47)

0.473

–

–

–

Marital status (married/cohabiting)

0.86

(0.61–1.21)

0.382

–

–

–

Occupation (working group)

1.20

(0.91–1.59)

0.192

–

–

–

Religion (non-Buddist or Taoist)

0.64

(0.40–1.01)

0.054

0.70

(0.42–1.17)

0.174

Annual household income (≤ NTD 500,000)

1.30

(0.99–1.72)

0.063

1.27

(0.93–1.74)

0.131

Commercial insurance (yes)

0.92

(0.69–1.21)

0.542

–

–

–

Comorbid condition (no)

–

–

0.674

–

–

–

 1 disease

1.03

(0.74–1.42)

0.870

–

–

–

 2 diseases

1.01

(0.67–1.51)

0.980

–

–

–

 at least 3 diseases

0.74

(0.44–1.26)

0.268

–

–

–

Alcohol (no)

1.09

(0.82–1.44)

0.556

–

–

–

Tobacco (no)

1.26

(0.88–1.82)

0.207

–

–

–

Daily sun exposure time (< 3 hours)

0.66

(0.48–0.92)

0.015

0.81

(0.56–1.15)

0.235

Composite score of NEI-VFQ-25 (≤ 85)

0.60

(0.45–0.80)

0.001

0.58

(0.42–0.81)

0.001