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.
World Bank Data at country level: World Development Indicators 2012. The World Bank: Washington, DC; 2012.
World Bank Data: Gini index at country level.
World Bank Data at country level: motor vehicles (per 1000 people) include cars, buses and freight vehicles but not two-wheelers.
World Health Organization data: Global status report on road safety 2013.
Mean and s.d.
Other includes school van, matatu, bus feeder, riding on the top tube of the bike's frame, pedicab and wheelchair.
ICC calculated in an ‘empty' model with only school entered as a random effect (Cerin, 2011).