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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