Table 4 Marginal Effects of Bivariate Probit Regression

Female

-0.040

p < 0.001*

-0.054

-0.026

Female

0.031

p < 0.001*

0.019

0.044

Age ≥ 45

Age ≥ 45

Urban

Urban

Married

-0.012

0.081*

-0.026

0.001

Married

Education level

Education level

Income (reference: Less or equal to 750 TL)

Income (reference: Less or equal to 750 TL)

751 TL to 1300 TL

0.044

p < 0.001*

0.026

0.062

751 TL to 1300 TL

-0.035

p < 0.001*

-0.051

-0.019

1301 TL to 2300 TL

0.055

p < 0.001*

0.036

0.074

1301 TL to 2300 TL

-0.044

p < 0.001*

-0.061

-0.026

Greater than 2300 TL

0.060

p < 0.001*

0.038

0.082

Greater than 2300 TL

-0.047

p < 0.001*

-0.067

-0.027

Employed

-0.042

p < 0.001*

-0.057

-0.027

Employed

0.038

p < 0.001*

0.024

0.051

SSI

0.069

p < 0.001*

0.047

0.091

SSI

-0.066

p < 0.001*

-0.086

-0.046

Persons to trust ≥ 2

0.035

p < 0.001*

0.020

0.049

Persons to trust ≥ 2

-0.029

p < 0.001*

-0.042

-0.016

Index 1

0.089

0.001*

0.037

0.142

Index 1

-0.089

p < 0.001*

-0.134

-0.045

Index 2

Index 2

0.230

0.004*

0.075

0.384

BMI

0.011

0.003*

0.004

0.018

BMI

-0.008

0.024*

-0.014

-0.001

Using non-prescription medications

-0.093

p < 0.001*

-0.110

-0.077

Using non-prescription medications

0.079

p < 0.001*

0.064

0.094

Any-chronic

-0.094

p < 0.001*

-0.107

-0.080

Any-chronic

0.065

p < 0.001*

0.053

0.078

Diabetes

Diabetes

Cancer

Cancer