Table 2

Number of pharmaceuticals - results of regression analysis

Number of drugs (after exclusion)

Number of drugs (before exclusion)


Parameter

Exp(Est)

Pr > |t|e

Exp(Est)

Pr > |t|e


Intercept

1.472

< 0.0001

1.608

< 0.0001


Sex: female

1.225

< 0.0001

1.145

< 0.0001


Age

0.796

< 0.0001

0.820

< 0.0001


Age squared

1.011

< 0.0001

1.009

< 0.0001


BMIa: very underweight

1.080

0.0332

1.160

0.0891

underweight

1.070

1.091

overweight

1.077

1.035

obese

1.140**

1.060


Socioeconomic statusb: high

1.099**

0.0154

1.234***

< 0.0001

medium

1.075*

1.121***


Seasonc: spring

0.944

0.1102

0.935

0.0178

summer

0.270*

0.848**

autumn

0.951

0.955


Migrantd

0.773***

< 0.0001

0.739***

< 0.0001


N = 14, 531.

Negative binomial model, random effect: sample point, dependent variable: number of pharmaceuticals.

Reference: anormal weight; blow socioeconomic status; cwinter; dnon-migrant.

ep-value of total effect.

Significance levels for individual effect levels: *** < 0.001, ** < 0.01, * < 0.05.

BMI, body mass index.

Wenig et al. BMC Health Services Research 2011 11:340   doi:10.1186/1472-6963-11-340

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