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Table 4 Pharmaceutical costs - results of two-step regression analysis

From: Juvenile obesity and its association with utilisation and costs of pharmaceuticals - results from the KiGGS study

 

1. Probabilitya

N = 14, 531

2. Amount of costsb

N = 5, 791

Parameter

Odds ratio

Pr > Chi2g

Exp(est)

Pr > |t|g

Intercept

-

-

9.5571

< 0.0001

Sex: female

1.351

< 0.0001

0.849

< 0.0001

Age

0.728

< 0.0001

0.970

0.1559

Age squared

1.015

< 0.0001

1.000

0.6812

BMIc: very underweight

1.006

0.3100

2.461***

< 0.0001

   underweight

1.077

 

1.387***

 

   overweight

1.129

 

1.049

 

   obese

1.122

 

1.237**

 

Socioeconomic statusd: high

1.075

0.4349

1.144**

0.0283

   medium

1.034

 

1.069

 

Seasone: spring

0.960

0.3520

0.973

0.7188

   summer

0.869

 

1.152

 

   autumn

0.955

 

0.900

 

Migrantf

0.673***

< 0.0001

1.144*

0.0144

  1. aLogistic mixed regression; bGeneralised linear mixed regression model (Gamma distribution with log-link);
  2. Reference: cnormal weight, dlow socioeconomic status, ewinter, rnon-migrant.
  3. gp-value of total effect.
  4. Significance levels for individual effect levels: *** < 0.001, ** < 0.01, * < 0.05.
  5. BMI, body mass index.