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. 2015 Dec 8;5(Suppl 2):S89–S99. doi: 10.1038/ijosup.2015.25

Table 2. Descriptive characteristics of participants stratified by study site in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE).

  Australia (Adelaide) Brazil (São Paulo) Canada (Ottawa) China (Tianjin) Colombia (Bogota) Finland (Helsinki, Espoo and Vantaa) India (Bangalore) Kenya (Nairobi) Portugal (Porto) South Africa (Cape Town) UK (Bath and North East Somerset) USA (Baton Rouge) Total
  n=512 n=498 n=559 n=544 n=911 n=496 n=600 n=552 n=672 n=437 n=469 n=622 n=6872
Socio-demographic characteristics
 World bank classificationa High income Upper-middle income High income Upper-middle income Upper-middle income High income Lower-middle income Low income High income Upper-middle income High income High income NA
 Gini indexb 35.2 (1994) 54.7 (2009) 32.6 (2000) 42.6 (2002) 55.9 (2010) 26.9 (2000) 33.4 (2005) 47.7 (2005) 38.5 (1997) 63.1 (2009) 36.0 (1999) 40.8 (2000) NA
 Motor vehicles per 1000 inhabitantsc 687 198 605 37 58 534 15 21 509 159 526 809 NA
 Estimated road traffic death rate per 100 000 inhabitantsd 6.1 22.5 6.8 20.5 15.6 5.1 18.9 20.9 11.8 31.9 3.7 11.4 NA
 Agee 10.8 (0.4) 10.5 (0.5) 10.5 (0.4) 9.9 (0.5) 10.4 (0.6) 10.4 (0.4) 10.4 (0.5) 10.2 (0.7) 10.4 (0.3) 10.2 (0.7) 10.9 (0.5) 10.0 (0.6) 10.4 (0.6)
Gender
 Male 45.9 48.0 41.9 53.1 49.3 46.8 47.0 46.4 44.0 42.3 43.9 43.1 46.1
 Female 54.1 52.0 58.1 46.9 50.7 53.2 53.0 53.6 56.0 57.7 56.1 56.9 53.9
 
Highest parent education
 <High School 11.3 24.3 2.0 32.9 31.5 2.8 4.7 14.1 46.6 47.1 2.8 8.5 19.8
 Complete high school or some college 47.9 53.2 27.7 44.7 50.9 55.2 21.8 45.1 32.9 39.8 51.8 44.1 42.8
 ⩾Bachelor degree 40.8 22.5 70.3 22.4 17.6 41.9 73.5 40.8 20.5 13.0 45.4 47.4 37.4
 
Motorized vehicle ownership
 None 2.3 30.1 3.8 9.7 75.5 9.9 4.3 44.2 10.7 47.6 4.3 8.4 23.2
 1 22.5 47.8 38.3 44.1 21.6 45.0 32.5 33.3 42.4 27 36.2 32.0 34.6
 2 or more 75.2 22.1 58.0 46.1 2.9 45.2 63.2 22.5 46.9 25.4 59.5 59.6 42.2
 
Number of siblings
 None 6.8 19.6 11.3 67.9 7.8 14.7 23.0 9.4 27.7 5.8 11.1 10.0 18.0
 1 44.2 42.3 51.5 28.0 33.8 38.8 64.8 27.8 53.0 37.6 45.0 29.1 41.2
 2 or more 49.0 38.1 37.2 4.1 58.4 46.6 12.2 62.9 19.3 56.6 43.9 60.8 40.8
 
School transport characteristics
 School travel mode                          
  Active                          
  Walking 24.1 39.0 34.2 22.2 71.6 54.8 3.8 40.9 27.1 57.9 50.3 9.8 36.9
  Bicycle, rollerblade, skateboard, scooter 7.2 1.0 0.7 10.1 1.8 24.4 1.3 2.9 1.0 0.9 12.2 0.5 4.9
  Motorized                          
   Bus, train, tram, underground or boat 4.5 32.3 38.3 7.5 18.4 13.1 61.8 27.9 12.1 4.8 3.2 34.8 22.2
   Car, motorcycle or moped 63.8 26.7 26.5 55.1 7.5 7.5 33.0 23.6 58.9 36.3 33.9 54.3 34.8
   Otherf 0.4 1.0 0.4 5.0 0.8 0.2 0.0 4.7 0.9 0.0 0.4 0.7 1.2
Travel time                          
  ⩽15 min 85.2 68.7 74.8 65.6 61.7 79.0 37.2 56.5 84.1 70.7 79.5 70.3 68.8
  ⩾16 min 14.8 31.3 25.2 34.4 38.3 21.0 62.8 43.5 15.9 29.3 20.5 29.7 31.2
School-level ICC for school travel modeg 0.18 0.25 0.31 0.09 0.56 0.24 0.00 0.38 0.11 0.55 0.10 0.27 NA

Abbreviations: ICC, intra-class correlation coefficient; ISCOLE, International Study of Childhood Obesity, Lifestyle and the Environment, NA, not applicable.

a

World Bank Data at country level: World Development Indicators 2012. The World Bank: Washington, DC; 2012.

b

World Bank Data: Gini index at country level.

c

World Bank Data at country level: motor vehicles (per 1000 people) include cars, buses and freight vehicles but not two-wheelers.

d

World Health Organization data: Global status report on road safety 2013.

e

Mean and s.d.

f

Other includes school van, matatu, bus feeder, riding on the top tube of the bike's frame, pedicab and wheelchair.

g

ICC calculated in an ‘empty' model with only school entered as a random effect (Cerin, 2011).