Table 2. Associations of excess body weight with residential density (OR and 95%CI) among urban men and women in 2017 in Nanjing, China.
| Residential density a | Participants having excess body weight (% and n/N) b | Mixed-effects logistic regression models | |||
|---|---|---|---|---|---|
| Model 1 c | Model 2 d | ||||
| OR (95% CI) | P value | OR (95% CI) | P value | ||
| Overall | |||||
| Upper | 45.9 (274/597) | 1.00 | 1.00 | ||
| Middle | 52.8 (281/532) | 1.32 (1.04–1.67) | 0.02 | 1.29 (1.01–1.64) | 0.04 |
| Lower | 57.1 (241/422) | 1.57 (1.22–2.02) | <0.01 | 1.38 (1.06–181) | 0.02 |
| Men | |||||
| Upper | 49.0 (142/290) | 1.00 | 1.00 | ||
| Middle | 57.4 (143/249) | 1.41 (1.00–1.98) | 0.05 | 1.38 (0.97–1.97) | 0.08 |
| Lower | 58.9 (119/202) | 1.49 (1.04–2.15) | 0.03 | 1.48 (1.01–2.19) | 0.04 |
| Women | |||||
| Upper | 43.0 (132/307) | 1.00 | 1.00 | ||
| Middle | 48.8 (138/283) | 1.26 (0.91–1.75) | 0.16 | 1.26 (0.89–1.78) | 0.20 |
| Lower | 55.5 (122/220) | 1.65 (1.16–2.34) | 0.01 | 1.28 (0.88–1.88) | 0.20 |
n: number of participants within higher physical activity category; N: total number of participants within sub-group of residential density.
a Residential density was analyzed as a trichotomous variable (Lower, Middle and Upper tertile, with cut-off values of 56,524 and 29,786 persons/km2).
b physical activity was analyzed as a dichotomous variable (≥150mins/week vs.<150mins/week).
c Model 1 was a univariate analysis with residential density as the single predictor.
d Model 2 was a multivariate mixed-effects logistic regression model with adjustment for age, sex (overall model only), marital status, educational attainment, occupation, smoking status, redmeat intake, physical activity, diabetic status and potential neighborhood-level clustering effects.