Table 2.

Prevalence rate ratios (95% confidence intervals) of overweight/obesity associated with city characteristics in 187 Latin American cities. SALURBAL study

	PRR (95% CI)
Women (n = 46,093)	Adjusted model a	Adjusted model b
City labor women’s empowerment, z score	0.97 (0.94, 0.99)	-
City Gini coefficient, z score	-	1.01 (0.98, 1.04)
Educational level (ref. University)	1.00	1.00
Secondary	1.16 (1.12, 1.20)	1.16 (1.12, 1.20)
Primary	1.30 (1.25, 1.35)	1.30 (1.25, 1.35)
Less than primary	1.23 (1.19, 1.27)	1.23 (1.20, 1.27)
Sub-city living conditions, z score	0.98 (0.97, 1.00)	0.98 (0.97, 1.00)
City GDP per capita (USD), z score	1.01 (1.00, 1.02)	1.01 (1.00, 1.02)
City population size, z score	0.98 (0.97, 0.99)	0.98 (0.97, 0.99)
Men (n = 33,329)	Adjusted model a	Adjusted model b
City labor women’s empowerment, z score	0.98 (0.95, 1.01)	-
Gini coefficient, z score	-	0.94 (0.90, 0.97)
Educational level (ref. University)	1.00	1.00
Secondary	1.00 (0.98, 1.03)	1.00 (0.98, 1.03)
Primary	0.94 (0.91, 0.97)	0.94 (0.91, 0.97)
Less than primary	0.88 (0.85, 0.91)	0.88 (0.85, 0.91)
Sub-city living conditions, z score	0.99 (0.97, 1.00)	0.99 (0.98, 1.01)
City GDP per capita (USD), z score	1.02 (1.01, 1.02)	1.02 (1.01, 1.02)
City population size, z score	0.99 (0.98, 1.00)	1.00 (0.99, 1.01)

Adjusted model a includes labor women’s empowerment; adjusted model b includes Gini coefficient; PRRs, prevalence rate ratios for each SD higher value of the predictor; GDP, gross domestic product. Multilevel structure: individuals nested within sub-cities, nested within cities. Analyses are adjusted by age, individual education, sub-city living conditions, city GDP per capita, city population size, and country