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

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

CityEducational attainment
(reference: < high school graduate)
 F(34, 9368) = 2.35***
High school graduate or some collegeCollege degree or higher
eb (e95% CI)eb (e95% 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)
  1. 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
  2. * p-value ranging from ≤.05 to >.01; ** p-value ranging from ≤01 to >.001; *** p ≤ .001