Table 1 2D:4D index vs. background and occupational variables: relation between the 2D:4D index and categorical variables (t-test or ANOVA) and between 2D:4D index and continuous variables (Pearson's correlation).

Background data

Age

490

0.008

0.868

0.811

Stature

490

0.009

0.847

0.927

Body mass index (kg/m²)

489

-0.050

0.273

0.314

Hand dominancy

0.898

0.949

-right hand

451

0.925

-left or both hands

39

0.924

Marital status

0.374

0.341

-single

42

0.924

-married

366

0.924

-divorced

66

0.928

-widow

16

0.932

Number of pregnancies

489

0.006

0.888

0.942

Smoked years (number)

490

-0.019

0.668

0.655

Alcohol consumption index

-0.039

0.383

0.367

Occupational data

Occupation

0.679

0.693

-dentists

271

0.924

-teachers

219

0.925

Dentists' education

0.663

0.870

-general practitioner

217

0.925

-specialist

54

0.924

Working status

0.099

0.138

-currently working

462

0.925

-retired

10

0.911

-stopped to work

18

0.927

Part time retirement

0.728

0.941

-no

468

0.925

-yes

22

0.923

Weekly working hours

490

0.018

0.684

0.689

Karasek score (Karasek et al. 1998)

-job control

486

-0.038

0.404

0.350

-job demand

486

-0.037

0.421

0.414