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Table 2 Odds ratio (95% CI) for being in the higher physical activity group relative to being in the lower group among urban adults in Nanjing, China

From: The association between residential density and physical activity among urban adults in regional China

Residential densitya

Participants in higher physical activity category (% and n/N)b

Mixed-effects logistic regression models

Model 1 c

Model 2 d

Model 3 e

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

Overall

 Lower

36.7 (155/422)

1.00

 

1.00

 

1.00

 

 Middle

32.3 (172/532)

0.82 (0.63–1.08)

0.16

0.81 (0.62–1.07)

0.14

0.70 (0.50–0.99)

0.04

 Higher

19.3 (115/597)

0.41 (0.31–0.55)

<0.01

0.41 (0.30–0.55)

<0.01

0.31 (0.21–0.47)

<0.01

Men

 Lower

33.2 (67/202)

1.00

 

1.00

 

1.00

 

 Middle

33.3 (83/249)

1.03 (0.57–1.89)

0.91

0.95 (0.63–1.42)

0.78

0.85 (0.52–1.39)

0.53

 Higher

20.3 (59/290)

0.53 (0.29–0.98)

0.04

0.45 (0.29–0.70)

<0.01

0.36 (0.21–0.65)

<0.01

Women

 Lower

40.0 (88/220)

1.00

 

1.00

 

1.00

 

 Middle

31.4 (89/283)

0.69 (0.48–1.05)

0.08

0.73 (0.50–1.06)

0.10

0.61 (0.41–0.93)

0.02

 Higher

18.2 (56/307)

0.34 (0.23–0.50)

<0.01

0.37 (0.24–0.56)

<0.01

0.28 (0.17–0.46)

<0.01

  1. n: number of participants within higher physical activity category, N: total number of participants within sub-group of residential density
  2. aResidential density was analyzed as a trichotomous variable (Lower, Middle or Higher tertile)
  3. bphysical activity was analyzed as a dichotomous variable(≥150mins/week vs.<150mins/week)
  4. cModel 1 is the unadjusted model
  5. dModel 2 adjusted for age, sex (overall model only), nationality, marriage, weight, educational attainment and employment status
  6. eModel 3 adjusted for age, sex (overall model only), nationality, marriage, weight, educational attainment, employment status, green space and potential clustering effects at community level