Skip to main content

Table 2 Impact of the onset age of visual impairment on employment and job security (reference = unemployment)

From: Effect of the age of visual impairment onset on employment outcomes in South Korea: analysis of the national survey on persons with disabilities data

  

Prime-aged adults, 20–49 (n = 245)

Late-middle-aged adults, 50–64 (n = 338)

  

Logistic regression

Multinomial logistic regression

Logistic regression

Multinomial logistic regression

  

Employment

Permanent employees

 

Temporary employees

 

Employment

Permanent employees

Temporary employees

  

aOR

(95% CI)

p-value

aOR

(95% CI)

p-value

aOR

(95% CI)

p-value

aOR

(95% CI)

p-value

aOR

(95% CI)

p-value

aOR

(95% CI)

p-value

 Onset age of visual impairment

 (ref. = Age 0–5)

Age 6–17

0.57(0.22, 1.46)

0.238

0.53(0.18,1.60)

0.259

0.56(0.18,1.74)

0.318

1.24(0.43,3.54)

0.694

1.19(0.27,5.22)

0.815

1.14(0.34,3.88)

0.829

Age 18–24

0.75(0.24,2.30)

0.610

0.76(0.21,2.70)

0.668

0.67(0.18,2.54)

0.558

1.35(0.41,4.42)

0.616

1.56(0.30,8.10)

0.594

1.18(0.28,4.93)

0.824

Age 25 + 

0.27(0.10,0.69)

0.007

0.23(0.08,0.67)

0.007

0.35(0.11,1.10)

0.072

2.26(0.93,5.51)

0.072

1.60(0.41,6.15)

0.497

2.63(0.97,7.09)

0.057

 Severity of disability

Moderate

0.49(0.14,1.64)

0.246

0.33(0.09,1.31)

0.115

0.77(0.19,3.05)

0.710

0.95(0.45,2.03)

0.903

1.41(0.55,3.64)

0.472

0.85(0.37,1.99)

0.715

 (ref. = Mild)

Severe

0.31(0.13,0.74)

0.008

0.20(0.07,0.58)

0.003

0.51(0.19,1.33)

0.167

0.20(0.08,0.50)

0.000

0.17(0.04,0.80)

0.025

0.23(0.09,0.56)

0.001

 Reason for disability

Acquired due to disease

1.55(0.59,4.08)

0.375

1.64(0.55,4.87)

0.374

1.40(0.43,4.61)

0.579

1.47(0.51,4.26)

0.475

1.80(0.29,11.15)

0.527

1.33(0.46,3.85)

0.593

 (ref. = Congenital, unknown)

Acquired due to accident

1.47(0.57,3.81)

0.424

1.63(0.57,4.71)

0.364

1.34(0.41,4.35)

0.622

1.44(0.54,3.84)

0.470

1.88(0.38,9.41)

0.443

1.24(0.44,3.50)

0.679

 Sex

Women

0.17(0.08,0.36)

0.000

0.16(0.07,0.35)

0.000

0.21(0.09,0.51)

0.001

0.38(0.21,0.68)

0.001

0.24(0.11,0.53)

0.000

0.46(0.25,0.84)

0.012

 Age

Continuous

1.10(1.05,1.16)

0.000

1.10(1.03,1.16)

0.002

1.11(1.04,1.17)

0.001

0.84(0.78,0.90)

0.000

0.78(0.71,0.85)

0.000

0.87(0.80,0.94)

0.000

 Married

Yes

2.17(1.01,4.67)

0.046

3.46(1.48,8.10)

0.004

1.17(0.47,2.90)

0.736

0.56(0.29,1.09)

0.086

0.70(0.28,1.79)

0.458

0.52(0.26,1.04)

0.064

 Education

High school

1.46(0.59,3.61)

0.413

1.95(0.66,5.73)

0.224

1.12(0.41,3.05)

0.820

0.60(0.33,1.12)

0.108

0.76(0.34,1.68)

0.495

0.59(0.31,1.15)

0.119

 (ref. =  ≤ Middle school)

 ≥ College

1.91(0.71,5.12)

0.198

3.62(1.20,10.88)

0.022

0.81(0.25,2.59)

0.720

0.74(0.38,1.47)

0.392

2.31(0.87,6.12)

0.092

0.25(0.09,0.69)

0.007

 Chronic diseases

Yes

0.56(0.27,1.16)

0.120

0.57(0.25,1.29)

0.178

0.54(0.24,1.25)

0.152

1.44(0.78,2.64)

0.244

1.34(0.63,2.87)

0.452

1.51(0.76,3.01)

0.242

 Self-rated health

Bad

0.46(0.19,1.10)

0.082

0.52(0.20,1.36)

0.183

0.41(0.13,1.26)

0.119

0.36(0.20,0.65)

0.001

0.14(0.06,0.35)

0.000

0.51(0.27,0.94)

0.032

 Job training

Yes

2.22(0.60,8.21)

0.231

1.61(0.35,7.35)

0.541

2.78(0.72,10.76)

0.139

2.85(0.88,9.22)

0.081

0.75(0.06,8.98)

0.820

4.19(1.20,14.67)

0.025

 Survey year

2014

0.55(0.25,1.23)

0.144

0.50(0.20,1.22)

0.126

0.61(0.24,1.55)

0.298

1.33(0.70,2.52)

0.386

1.86(0.76,4.55)

0.177

1.19(0.60,2.35)

0.615

 (ref. = 2011)

2017

1.10(0.48,2.55)

0.817

1.00(0.39,2.59)

0.998

1.27(0.47,3.47)

0.635

1.51(0.72,3.16)

0.278

2.81(1.09,7.27)

0.033

1.10(0.50,2.43)

0.809

 Pseudo R2

0.2222

0.1901

0.1929

0.2154

  1. Note. Robust standard errors were used in the logistic and multinomial regression analyses. aOR means adjusted odds ratio