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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.