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

Table 4 City-specific associations of educational attainment with non-zero weekly minutes of leisure-time physical activity

City	Educational attainment (reference: < high school graduate)
	F(34, 9368) = 2.35***
	High school graduate or some college	College degree or higher
	e^b (e^{95% CI})	e^b (e^{95% CI})
Adelaide (AU)	1.09 (0.95, 1.25)	1.02 (0.90, 1.16)
Ghent (BE)	1.05 (0.74, 1.49)	0.96 (0.68, 1.35)
Curitiba (BR)	1.10 (0.84, 1.44)	1.01 (0.78, 1.31)
Bogota (CO)	0.99 (0.81, 1.22)	1.44 (1.13, 1.81)**
Olomouc (CZ)	0.80 (0.57, 1.14)	0.74 (0.51, 1.08)
Hradec Králové (CZ)	0.98 (0.56, 1.71)	1.13 (0.61, 2.06)
Aarhus (DK)	0.73 (0.52, 1.03)	0.69 (0.49, 0.98)*
Hong Kong (HK)	0.91 (0.66, 1.26)	0.73 (0.54, 0.97)*
Cuernavaca (MX)	1.21 (0.94, 1.57)	1.32 (1.02, 1.70)*
North Shore (NZ)	1.27 (0.68, 2.36)	1.10 (0.59, 2.05)
Waitakere (NZ)	1.62 (1.00, 2.61)*	1.82 (1.11, 2.98)*
Wellington (NZ)	2.44 (0.81, 7.42)	2.13 (0.70, 6.47)
Christchurch (NZ)	1.41 (0.95, 2.09)	1.52 (0.99, 2.30)
Pamplona (ES)	0.87 (0.64, 1.17)	0.64 (0.48, 0.85)**
Stoke-on-Trent (UK)	0.85 (0.69, 1.05)	0.87 (0.66, 1.15)
Seattle (US)	0.75 (0.42, 1.34)	0.66 (0.37, 1.17)
Baltimore (US)	0.88 (0.49, 1.58)	0.81 (0.45, 1.45)

95% CI = 95% confidence interval; exp.(b) exponential function of regression coefficient; exp.(95% CI) = exponential function of confidence interval. Generalized additive mixed model (GAMM) with Gamma variance and logarithmic link functions, for which exp.(b) is interpreted as the proportional increase in PA associated with a 1 unit increase in the predictor. GAMMs adjusted for working status, marital status, administrative-unit-level socio-economic status and walkability
* p-value ranging from ≤.05 to >.01; ** p-value ranging from ≤01 to >.001; *** p ≤ .001

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