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. 2021 Jan 18;11(1):e046636. doi: 10.1136/bmjopen-2020-046636

Table 3.

Neighbourhood selection criteria for 15 International Physical Activity and Environment Study of Adolescents countries

Australia Bangladesh Belgium Brazil Czech Republic Denmark Hong Kong SAR India Israel Malaysia New Zealand Nigeria Portugal Spain USA
Recruitment units. # schools or admin units (if did not recruit through schools) 18 schools 6 schools 4 schools 40 census tracts 10 schools 8 schools  19 schools 157 wards 51 statistical areas 15 schools 8 schools 8 schools 6 schools 9 schools 447 block groups
Walkability administrative unit (area) SA1 (Statistical Area 1) Wards Statistical sectors Census tracts Cadastral Areas Statistical Units Tertiary Planning Units (TPUs) Wards Statistical areas defined by the Israel Central bureau of statistics Neighbourhood units  Meshblocks Census enumeration areas Census block groups ‘Secção’ Census tracts Census block groups (2000)
Walkability index details GIS: 5 land uses, intersection density, gross residential density,
no retail FAR
GIS: 10 land uses, Intersection density, net residential density, land use mix
no retail FAR
GIS: 5 land uses, Intersection density, net residential density, land use mix
no retail FAR
GIS: 5 land uses, intersections density, net residential density, land use mix, retail density GIS: 4 land uses, intersection density, net residential density, land use mix, retail FAR GIS: 6 land uses, intersection density, net residential density, land use mix, retail FAR GIS: 5 land uses, Intersection density, net residential density, land use mix
No retail FAR
No GIS GIS: 3 land uses, intersection density, net residential density, land use mix
No retail FAR
 GIS: no land uses, intersection density, net residential density, land use mix
 No retail FAR
GIS: 5 land uses, intersection density, gross residential density, land use mix
No retail FAR
No GIS GIS: 8 land uses, intersection density, net residential density, land use mix
No retail FAR
GIS: 7 land uses, intersection density, net residential density, land use mix
No retail FAR
GIS: 5 land uses, intersection density, net residential density, land use mix, retail FAR
Walkability criteria Deciles 1–5 (low)
Deciles 6 to 10 (high)
25th %tile and lower (low)
75th %tile higher (high)
Deciles 6–10 (low)
Deciles 1 to 5 (high)
Deciles 2–3 (low)
Deciles 8 to 9 (high
Deciles 1–4 (low)
Deciles 7 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
High or low based on expert judgments by people familiar with GIS-based walkability components Deciles 1–5 (low)
Deciles 6 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
High or low based on expert judgments by people familiar with GIS-based walkability components Deciles 1–4 (low)
Deciles 7 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
Deciles 1–4 (low)
Deciles 7 to 10 (high)
SES criteria Deciles 1–5 (low)
Deciles 6 to 10 (high)
 25th %tile and lower (low)
 75th %tile and higher (high)
Deciles 6–10 (low)
Deciles 1 to 5 (high)
Deciles 2–4 (low)
Deciles 8 to 9 (high)
Deciles 2–4 (low)
Deciles 7 to 9 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
High or low based on expert judgement Deciles 1–5 (low)
Deciles 6 to 10 (high)
0 (low)
1 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
High or low based on expert judgement Deciles 1–4 (low)
Deciles 7 to 10 (high)
Deciles 1–5 (low)
Deciles 6 to 10 (high)
Deciles 1–5 (low)
Deciles 7–9 (high)
SES sources Median household income from Australian Bureau of Statistics
2011
Education (literacy rate) from Bangladesh Bureau of Statistics
2011
Household income from city council Ghent
2012
Household income from Brazilian Institute of Geography and Statistics (IBGE) (http://www.ibge
.gov.br/english/)
2010
Degree of education, rate of unemployment from Czech Census of Population and Housing
2011
Household income from Municipality of Odense
2013
Median household income at the TPU level from Census and Statistics Department—Hong Kong
2011
Expert judgments, using information about property values, aesthetics, building quality, to classify wards as low or high SES SES index of the Israeli Central Bureau of Statistics: composite measure: demographics, employment, income, education, car ownership, density. 2008 Self-reported Income 2015 Census median personal income from Statistics New Zealand
2006
National Population Commission Education from the Portuguese Census 2011 Education from Spanish National Statistics Institute 2011 Median household income (2000 U.S. Census)
# participants per quadrant High walk/high SES=102
High walk/low SES=136
Low walk/high SES=99
Low walk/low SES=101
High walk/high SES:18
High walk/low SES:25
Low walk/high SES:23
Low walk/low SES:26
High walk/high SES: 45
High walk/low SES:131
Low walk/high SES:106
Low walk/low SES: 9
High walk/high SES:105
High walk/low SES:149
Low walk/high SES:108
Low walk/low SES: 131
High walk/high SES: 99
High walk/low SES: 40
Low walk/high SES:59
Low walk/low SES: 140
High walk/high SES: 48
High walk/low SES:56
Low walk/high SES: 65
Low walk/low SES:41
High walk/high SES: 294
High walk/low SES:344
Low walk/high SES: 308
Low walk/low SES:349
High walk/high SES: 75
High walk/low SES: 88
Low walk/high SES: 77
Low walk/low SES: 76
High walk/high SES: 55
High walk/low SES:55
Low walk/high SES: 62
Low walk/low SES:60
High walk/high SES: 232
High walk/low SES:377
Low walk/high SES: 68
Low walk/low SES:75
High walk/high SES: 139
High walk/low SES: 189
Low walk high SES: 178
Low walk/low SES:142
High walk/high SES: 15
High walk/low SES: 131
Low walk/high SES: 95
Low walk/low SES: 27
High walk/high SES: 56
High walk/low SES:33
Low walk/high SES: 41
Low walk/low SES:54
High walk/ high SES: 110
High walk/low SES:64
Low walk/high SES: 139
Low walk/low SES:152
High walk/high SES: 234
High walk/low SES:224
Low walk/high SES: 231
Low walk /low SES:239

GIS, geographic information systems; SES, socioeconomic status.