Table 3

Results from the multilevel logistic regression model predicting obesity (BMI ≥30 kg/m2) by perceived neighbourhood safety; gender-stratified (n=6092 women; 4783 men)

Model 1 OR (95% CI)Model 2 OR (95% CI)
WomenMenWomenMen
Neighbourhood perceived safety
 Lowest tertile1.16 (0.97 to 1.38)0.98 (0.82 to 1.18)1.15 (0.95 to 1.39)1.06 (0.86 to 1.30)
 Middle tertile0.94 (0.80 to 1.10)0.92 (0.78 to 1.08)0.96 (0.82 to 1.12)0.98 (0.83 to 1.17)
 Highest tertile1.001.001.001.00
Age 1.02 (1.01 to 1.03)1.00 (0.99 to 1.01) 1.02 (1.01 to 1.03)1.00 (1.00 to 1.01)
Individual-level perceived safety0.99 (0.97 to 1.02)1.00 (0.98 to 1.03)
Education
 Primary or less1.48 (1.18 to 1.86)1.10 (0.87 to 1.39)
 Secondary1.49 (1.30 to 1.71)1.09 (0.92 to 1.30)
 University1.001.00
Skin colour
 Black 1.87 (1.57 to 2.23) 1.44 (1.14 to 1.81)
 Brown 1.39 (1.19 to 1.63)1.13 (0.95 to 1.36)
 White1.001.00
ELSA site
 Bahia 0.59 (0.48 to 0.73) 0.56 (0.43 to 0.72)
 Espirito Santo 0.66 (0.48 to 0.90)0.89 (0.64 to 1.24)
 Minas Gerais 0.71 (0.59 to 0.86)0.92 (0.75 to 1.12)
 Rio de Janeiro0.84 (0.67 to 1.05)1.05 (0.83 to 1.32)
 Rio Grande do Sul0.87 (0.71 to 1.07)0.92 (0.72 to 1.17)
 Sao Paulo1.001.00
  • Bold values indicate statistical significance at the p<0.05 level (OR does not include 1).

  • BMI, body mass index; ELSA, Brazilian Longitudinal Study of Adult Health.