Table 4 Bivariate Relationships of Variables

Sex

χ² = 42.5713 df = 6 p = <0.0001*

χ² = 11.9938, df = 1 p = 0.0005*

Confounder

χ² = 4.9654 df = 1

p = 0.0259*

Confounder

Age

χ² = 19.2536 df = 12 p = 0.1826

χ² = 1.6275 df = 2

p = 0.4432

Insignificant effect

χ² = 14.8743 df = 2

p = 0.0006*

Predictor of outcome

SES

χ² = 31.0278 df = 12

p = 0.002*

χ² = 2.1734 df = 2

p = 0.3373

Predictor of exposure

χ² = 42.5850 df = 2

p = <0.0001*

Confounder

Education

χ² = 36.4445 df = 24

p = 0.0497*

χ² = 6.9128 df = 4

p = 0.1406

Predictor of exposure

χ² = 61.3297 df = 4

p = <0.0001*

Confounder

Marital Status

χ² = 44.2014 df = 24

p = <0.0072*

χ² = 13.3589 df = 4

p = 0.0096*

Confounder

χ² = 7.0117 df = 4

p = 0.1353

Predictor of exposure

Area Collected

χ² = 53.40 df = 6

p = <0.0001*

χ² = 13.8887 df = 1

p = 0.0002*

Confounder

χ² = 106.6403 df = 1

p = <0.0001*

Confounder

Peacekeeper’s Role

χ² = 57.5814df = 24

p = 0.0001*

χ² = 32.9425 df = 4

p = <0.0001*

Confounder

χ² = 26.4622 df = 4

p = <0.0001*

Confounder

Peacekeeper’s Nationality

χ² = 60.5565 df = 24

p = 0.0001*

χ² = 3.3366 df = 4

p = <0.5032

Predictor of exposure

χ² = 7.5169 df = 4

P = 0.1110

Predictor of exposure

Story About a Peacekeeper Fathered Child

χ² = 19.43 df = 6

p = 0.0035*

χ² = 4.53 df = 1

p = 0.0334*

Confounder

χ² = 4.16 df = 1

P = 0.0414*

Confounder