Skip to main content

Table 1 Prevalence and determinants of off-label medicine use, KiGGS 2003-2006

From: Off-label medicine use in children and adolescents: results of a population-based study in Germany

 

Children with drug use (n = 8,899)

Children with off-label medicine use of ≥ 1 preparation (n = 3,610)

Children with excl. in-label medicine use (n = 4.334)

Children with excl. not-attributable medicine use (n = 955)

Children with off-label vs. excl. in-label medicine use (n = 7,808)

 

n

%

95% CI

%

95% CI

%

95% CI

%

95% CI

OR

95% CI

p-value

Total

8,899

50.8

(49.5-52.2)

40.2

(38.8-41.5)

48.7

(47.3-50.2)

11.1

(10.3-12.0)

   

Sex

           

.015

   Boys

4,362

48.7

(47.2-50.3)

41.4

(39.7-43.1)

46.2

(44.5-47.9)

12.4

(11.3-13.6)

1.13

(1.03-1.25)

 

   Girls

4,537

53.1

(51.5-54.7)

38.9

(37.1-38.8)

51.2

(49.3-53.2)

9.8

(8.9-10.9)

1(Referenz)

 

Age group

           

< .001

   0 - 2 years

2,089

74.9

(72.9-76.9)

42.4

(39.8-45.1)

53.1

(50.3-55.9)

4.5

(3.5-5.8)

1.45

(1.24-1.69)

 

   3 - 6 years

1,939

51.1

(48.8-53.3)

48.7

(46.1-51.4)

39.7

(37.2-42.2)

11.6

(10.0-13.4)

2.08

(1.79-2.41)

 

   7 - 10 years

1,718

42.6

(40.4-44.8)

41.3

(38.9-43.8)

45.7

(43.3-48.1)

13.0

(11.4-14.8)

1.52

1.31-1.78)

 

   11 - 13 years

1,289

42.4

(40.1-44.7)

36.9

(34.0-40.0)

46.5

(43.1-49.8)

16.6

(14.3-19.2)

1.36

(1.15-1.60)

 

   14 - 17 years

1,864

50.7

(49.5-52.2)

32.5

(30.2-34.8)

56.1

(53.6-58.8)

11.4

(9.9-13.1)

1(Referenz)

 

Region

           

.355

   East

2,881

51.7

(49.2-54.2)

40.3

(38.3-42.4)

50.1

(47.9-52.2)

9.6

(8.7-10.7)

1.06

(0.93-1-19)

 

   West

6,018

50.7

(49.2-52.2)

40.1

(38.5-41.7)

48.5

(46.8-50.2)

11.4

(10.5-12.4)

1(Referenz)

 

Urbanity

           

.022

   Rural area

1,985

50.5

(47.8-53.1)

36.5

(33.4-39.8)

54.5

(51.0-58.0)

8.9

(7.1-11.1)

0.83

(0.69-1.00)

 

   Small city

2,314

50.9

(48.3-53.5)

42.0

(39.0-45.0)

47.3

(44.6-49.6)

10.8

(9.3-12.4)

1.10

(0.92-1.30)

 

   Medium-sized city

2,561

50.7

(48.2-53.3)

41.6

(39.4-43.8)

47.3

(45.2-49.4)

11.1

(10.0-12.4)

1.07

(0.91-1.24)

 

   Large city

2,039

51.2

(48.4-53.9)

39.1

(36.8-41.5)

47.9

(45.1-50.8)

12.9

(11.2-14.9)

1(Referenz)

 

Migrant background

           

.954

   Yes

1,071

41.4

(38.8-44.2)

35.8

(32.6-39.1)

44.1

(40.5-47.8)

20.1

(17.5-22.9)

0.99

(0.82-1.21)

 

   No

7,788

52.8

(51.5-54.1)

40.9

(39.4-42.3)

49.5

(48.0-51.1)

9.6

(8.8-10.4)

1(Referenz)

 

   Missing

40

           

Social status

           

.157

   Low

2,249

47.1

(45.0-49.2)

39.1

(36.6-41.7)

47.0

(44.4-49.7)

13.9

(12.1-15.8)

0.91

(0.78-1.07)

 

   Middle

4,083

51.2

(49.7-52.7)

39.9

(37.9-41.9)

50.4

(48.3-52.5)

9.7

(8.6-10.8)

0.90

(0.80-1.00)

 

   High

2,403

55.1

(53.0-57.3)

42.5

(40.4-44.7)

47.6

(45.4-49.8)

9.9

(8.5-11.4)

1(Referenz)

 

   Missing

164

           

Parents’ rated subjective health status

           

< .001

   Excellent

3,261

47.2

(45.4-48.9)

38.2

(36.1-40.3)

51.7

(49.6-53.8)

10.1

(9.1-11.2)

0.71

(0.58-0.88)

 

   Good

4,840

52.1

(50.6-62.9)

41.2

(39.4-42.9)

47.1

(45.3-49.0)

11.7

(10.5-13.0)

0.89

(0.73-1.07)

 

   Moderate/Bad/Very Bad

798

60.0

(49.5-52.2)

41.7

(37.9-45.6)

46.7

(42.8-50.7)

11.6

(9.3-14.3)

1(Referenz)

 
  1. n unweighted, % weighted.