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Table 2 Associations between built environment and gentrification variables and physical activity, by citya

From: Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities

Ā 

Montreal

Saskatoon

Vancouver

Victoria

Number of people

157

78

150

152

Can-ALE (quintiles)

1.18 (1.13ā€“1.23)

1.3 (1.15ā€“1.47)

1.15 (1.11ā€“1.19)

1.34 (1.29ā€“1.39)

Gentrification (Ding)

Ā  High SES

Reference

Reference

Reference

Reference

Ā  Low SES

0.89 (0.84ā€“0.95)

0.44 (0.38ā€“0.51)

1.15 (1.08ā€“1.22)

0.8 (0.75ā€“0.86)

Ā  Gentrified

0.93 (0.88ā€“0.99)

1.03 (0.87ā€“1.21)

1.15 (1.09ā€“1.22)

0.95 (0.88ā€“1.02)

Urban Compactness

0.66 (0.63ā€“0.7)

0.79 (0.66ā€“0.96)

0.51 (0.48ā€“0.55)

0.56 (0.51ā€“0.61)

Proximity (quintiles):

Ā  Employment

1.01 (0.98ā€“1.05)

0.82 (0.71ā€“0.95)

0.9 (0.86ā€“0.93)

0.81 (0.76ā€“0.85)

Ā  Pharmacy

1.15 (1.11ā€“1.19)

0.91 (0.83ā€“0.99)

1.06 (1.02ā€“1.09)

1.2 (1.16ā€“1.24)

Ā  Childcare

1.05 (1.02ā€“1.09)

1.09 (1.01ā€“1.17)

0.83 (0.81ā€“0.86)

0.88 (0.85ā€“0.9)

Ā  Health

0.98 (0.96ā€“1.01)

0.74 (0.67ā€“0.83)

1.14 (1.1ā€“1.19)

0.97 (0.93ā€“1)

Ā  Grocery

0.93 (0.9ā€“0.95)

0.79 (0.74ā€“0.84)

1.07 (1.04ā€“1.1)

1.06 (1.03ā€“1.08)

Ā  Primary education

0.9 (0.88ā€“0.92)

0.72 (0.68ā€“0.76)

0.93 (0.9ā€“0.95)

1.1 (1.07ā€“1.12)

Ā  Secondary education

0.95 (0.93ā€“0.96)

0.91 (0.86ā€“0.95)

0.92 (0.89ā€“0.94)

0.83 (0.82ā€“0.85)

Ā  Library

0.99 (0.98ā€“1.01)

1.15 (1.09ā€“1.21)

1.12 (1.1ā€“1.14)

1.08 (1.06ā€“1.1)

Ā  Transit

0.89 (0.87ā€“0.92)

1 (0.92ā€“1.08)

0.85 (0.83ā€“0.88)

0.93 (0.9ā€“0.96)

Ā  Parks

1.07 (1.05ā€“1.09)

1.29 (1.22ā€“1.36)

1.12 (1.1ā€“1.15)

0.96 (0.94ā€“0.98)

Gender

Ā  Woman

Reference

Reference

Reference

Reference

Ā  Man

1.06 (0.85ā€“1.33)

0.87 (0.61ā€“1.25)

0.7 (0.56ā€“0.88)

1.01 (0.83ā€“1.22)

Ā  Non-binary

0.73 (0.28ā€“1.87)

15.12 (3.51ā€“65.14)

Ā 

1.88 (0.95ā€“3.73)

Income groups

Ā  <ā€‰$50,000

Reference

Reference

Reference

Reference

Ā  $50,000-$99,999

0.94 (0.68ā€“1.31)

1.1 (0.72ā€“1.68)

0.74 (0.53ā€“1.03)

0.77 (0.58ā€“1.01)

Ā  $100,000ā€‰+ā€‰

0.86 (0.63ā€“1.16)

1.56 (1.08ā€“2.26)

0.73 (0.54ā€“0.99)

0.68 (0.52ā€“0.89)

Race

Ā  White

Reference

Reference

Reference

Reference

Ā  Visible minority or Indigenous

1.03 (0.67ā€“1.58)

0.75 (0.5ā€“1.14)

0.96 (0.71ā€“1.29)

0.94 (0.67ā€“1.32)

Age

1.04 (0.89ā€“1.22)

1.06 (0.82ā€“1.36)

0.92 (0.79ā€“1.07)

0.97 (0.85ā€“1.11)

Home DA

34.38 (31.26ā€“37.8)

27.32 (21.88ā€“34.1)

38.36 (34.44ā€“42.72)

33.78 (30.85ā€“36.99)

Weekend

0.95 (0.91ā€“0.99)

1.07 (0.97ā€“1.17)

1.04 (1ā€“1.09)

0.97 (0.93ā€“1.01)

Precipitation (mm)

1 (0.99ā€“1)

0.97 (0.93ā€“1.02)

1 (0.99ā€“1.01)

1 (1ā€“1.01)

Temperature (C)

0.99 (0.98ā€“0.99)

1 (0.99ā€“1.01)

1.02 (1.01ā€“1.03)

0.99 (0.98ā€“1.01)

  1. aĀ Results for each model coefficient are reported as incidence rate ratios and 95% confidence intervals
  2. Bold results indicate statistically significant results (p-valueā€‰<ā€‰0.05)