Skip to main content
. 2019 Dec 3;49(2):375–375k. doi: 10.1093/ije/dyz231

Table 1.

Examples of baseline socio-demographic and health characteristics of the KiGGS cohort (recruited from 2003–2006)a

Age, years 0–2 (N = 2805)
3–6 (N = 3875)
7–10 (N = 4148)
11–13 (N = 3076)
14–17 (N = 3736)
N %b % wt** N %b % wt** N %b % wt** N %b % wt** N %b % wt**
Demographics (according to registration office)
 Non-German citizenship 133 4.7 5.4 316 8.2 9.3 415 10.0 11.5 276 9.0 9.5 339 9.1 8.9
 Region of residence: Western Germany (excluding Berlin) 1839 65.6 82.4 2571 66.4 83.9 2796 67.4 86.4 2065 67.1 86.5 2470 66.1 78.1
 Municipality size: <5000 611 21.8 16.9 866 22.4 17.6 873 21.1 18.0 664 21.6 18.1 792 21.2 19.3
  5000 to <20 000 755 26.9 24.8 1024 26.4 26.0 1108 26.7 27.2 817 26.6 27.6 951 25.5 27.3
  20 000 to <100 000 800 28.5 29.8 1139 29.4 29.8 1218 29.4 29.6 890 28.9 28.9 1119 30.0 29.4
  100 000 or more 639 22.8 28.4 846 21.8 26.7 949 22.9 25.2 705 22.9 25.4 874 23.4 24.0
Demographics (information given by parents)
 Child’s sex: Female 1389 49.5 48.7 1924 49.7 48.7 2021 48.7 48.7 1488 48.4 48.7 1832 49.0 48.7
 Migration background:
  One-sided 280 10.1 11.6 317 8.3 9.7 309 7.5 8.2 188 6.1 7.2 198 5.3 6.1
  Two-sided 361 13.0 17.6 569 14.8 19.3 606 14.7 18.1 487 15.8 17.9 567 15.2 15.6
Missing 18 32 26 0 4
Education of familyc: Low 355 12.8 25.3 555 14.5 28.6 692 16.9 33.1 566 18.7 37.0 692 19.2 35.8
Middle 1616 58.3 49.4 2205 57.5 48.2 2281 55.6 46.0 1676 55.4 43.8 1940 53.9 44.5
High 803 29.0 25.2 1076 28.1 23.2 1131 27.6 20.9 785 25.9 19.2 969 26.9 19.7
Missing 31 39 44 49 135
Socio-economic status of family: Low 417 15.0 19.1 606 15.8 20.1 681 16.6 21.4 493 16.3 19.9 517 14.4 18.4
Middle 1656 59.7 57.9 2270 59.3 58.6 2444 59.6 59.1 1840 60.9 61.5 2191 61.2 62.5
High 699 25.2 23.0 955 24.9 21.3 976 23.8 19.5 688 22.8 18.7 873 24.4 19.1
Missing 33 44 47 55 155
Health status and behaviours
General health8: Very good/good 2698 97.0 97.1 3595 93.4 92.9 3888 94.4 93.9 2828 93.0 92.4 3296 91.0 90.4
Missing 22 25 31 35 114
Children with special health care needs: CSHCN9 Screening positive 128 5.0 4.7 405 11.7 11.4 645 17.0 17.0 503 17.4 16.1 545 15.9 15.4
Missing 220 399 344 241 299
Allergic rhinitis (hay fever): Lifetime diagnosis yes 39 1.5 1.6 226 6.2 6.5 442 11.4 11.7 460 16.1 15.4 680 20.0 20.0
Missing (refused/‘don’t know’) 123 241 271 225 330
Bronchial asthma: Lifetime diagnosis yes 15 0.5 0.5 91 2.4 2.9 192 4.7 4.8 215 7.1 6.6 261 7.1 7.0
Missing (refused/‘don’t know’) 40 60 54 42 51
Atopic dermatitis: Lifetime diagnosis yes 286 10.8 10.2 616 17.0 16.4 735 18.8 17.4 519 18.1 17.4 568 16.6 16.5
Missing (refused/‘don’t know’) 165 250 245 201 312
Attention deficit hyperactive disorder: Lifetime diagnosis yes 91 2.5 2.7 287 7.5 7.8 255 9.0 9.1 237 6.9 7.9
Missing (refused/‘don’t know’) 2805 not measured 275 319 240 305
SDQ-measured mental health problems:10 Total score borderline or abnormal 691 18.2 19.4 854 21.0 22.5 627 20.8 21.5 557 15.5 16.7
Missing 2805 not measured 69 75 68 146
Current smoking: Yes 124 4.1 3.4 1170 31.7 33.2
Missing 2805 not measured 3875 not measured 4148 not measured 43 40
Obesityd: Yes 20 2.2 2.5 120 3.1 3.2 269 6.5 7.1 207 6.8 7.9 308 8.3 9.5
Missing 1890 (1860 children age <2 years excluded) 39 17 12 21
a

n = 17 640 because one study participant requested the retrospective deletion of all of their contact and survey data.

b

Proportion in crude net sample (excluding missing values); wt** = weighted prevalence rates (to German minor population 31 12 2004).

c

Education groups according to CASMIN (Comparative Analysis of Social Mobility in Industrial Nations).

d

Based on national German reference percentiles.11