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Table 6 Summary table of results: Main effects are shown for all socio-demographic factors by physical activity variables combinations. City-specific effects are shown when there were significant demographic by city interactions

From: Do associations of sex, age and education with transport and leisure-time physical activity differ across 17 cities in 12 countries?

 

≥10 min/week of transport PA

≥150 min/week of transport PA

Non-zero transport PA min/week

≥10 min/week of leisure PA

≥150 min/week of leisure PA

Non-zero leisure PA min/week

Age

[−]***

[−] Adelaide, Ghent, Curitiba, North Shore, Waitakere, Christchurch, Stoke-on-Trent, Seattle, Baltimore

[+] Cuernavaca, Pamplona

X

[−] Wellington

[+] Hong Kong, Pamplona

[+]**

[+] Ghent, Olomouc, Aarhus, Pamplona

X

[−] Bogota, Olomouc, Hradec Králové, Aarhus, Cuernavaca, Wellington, Seattle, Baltimore [+] Pamplona

X

X

High school or some college (reference: < high school graduate)

X

X

X

[+]***

[+]***

X

[+] Waitakere

College graduate (reference: < high school graduate)

X

X

[−]**

[+]***

[+]***

X

[−] Aarhus, Hong Kong, Pamplona

[+] Bogota, Cuernavaca, Waitakere

Female sex (reference: male)

X

[−]**

[−]***

[−] Adelaide, Curitiba, Bogota, Cuernavaca, Seattle

[−]**

[−] Adelaide, Bogota

[+]Ghent, Aarhus

[−]***

[−]***

[−] Adelaide, Pamplona, Stoke-on-Trent, Seattle

  1. [−] – negative association; [+] – positive association; X – no main effect
  2. * p-value ranging from ≤.05 to >.01; ** p-value ranging from ≤01 to >.001; *** p ≤ .001