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Table 1 Risk factors in the PredictD algorithm and the regression coefficients after shrinkage

From: External validation of the international risk prediction algorithm for major depressive episode in the US general population: the PredictD-US study

Prognostic factor

Levels in factor

Coefficientsa

Constant

 

1.155

Age

Each year

−0.005

Sex

Female

 
 

Male

−0.212

Education

Beyond secondary education

 

Secondary education

0.089

Primary/no education

0.409

Trade/other

0.566

Difficulties in paid and unpaid work

No difficulties or often supported

 
 

Difficulties without support

0.366

Physical health

Each point on SF-12 subscale score

−0.030

Mental health

Each point on SF-12 subscale score

−0.055

First-degree relative with emotional problem

No

 
 

Yes

0.395

Discrimination

No

 
 

In one area

0161

 

In more than one area

0.736

Lifetime depression

No

 
 

Yes

0.489

Country

UK

 
 

Spain

0.23

 

Slovenia

-0.729

 

Estonia

-0.467

 

The Netherlands

-0.115

 

Portugal

-0.169

  1. a Regression coefficients after shrinkage (King et al. 2008) [13]