Table 2. Rate ratios of sub-city ABR associated with a 1-SD higher value of city-level scores and indicators before and after adjustment for city and sub-city level covariates (363 cities except where noted).
Contrast | Unadjusted | Adjusteda | |
---|---|---|---|
RR (95%CI) | RR (95%CI) | ||
City Scores | |||
WA autonomy score | 1.36 |
0.81
(0.77,0.86) |
0.92
(0.86,0.99) |
WA education score | 1.95 |
0.85
(0.82,0.89) |
0.93
(0.89,0.96)e |
WA health care scoreb | 2.14 |
0.83
(0.76,0.90) |
0.88
(0.82,0.95) |
Gender Inequality Index | 0.14 |
1.04
(1.01,1.07) |
1.04
(1.01,1.06) |
City Indicators | |||
Education | |||
% Women 25 and older with high school | 12.88 |
0.86
(0.81,0.92) |
0.95
(0.90,1.00)e |
% Men 25 and older with high school | 14.31 |
0.82
(0.77,0.87) |
0.91
(0.86,0.96)e |
% Women 25 and older with university | 4.72 |
0.87
(0.84,0.90) |
0.93
(0.90,0.96)e |
Labor force | |||
% Women 15 and older in the labor force | 8.04 |
0.82
(0.78,0.86) |
0.88
(0.85,0.92) |
% Men 15 and older in the labor force | 3.18 | 0.98 (0.95,1.01) |
0.99 (0.96,1.01) |
Health care | |||
% Women 50–79 with mammogram in the last 2 yearsb | 0.17 |
0.83
(0.77,0.89) |
0.87
(0.82,0.93) |
% Women 25–49 with pap smear in the last 3 yearsc | 0.09 |
0.89
(0.82,0.96) |
0.95 (0.89,1.01) |
Political participation and child marriage | |||
Cities with at least 1 female elected mayord | – |
0.93
(0.87,0.99) |
0.94
(0.89,0.99) |
% Women 15-17 married/15–17 female pop | 1 | 1.03 (0.99,1.07) |
1.00 (0.97,1.03) |
All variables were standardized to a mean of 0 and a standard deviation of 1, the association reflects the difference associated with a 1 standard deviation higher value (corresponding to the value in the Contrast column), unless otherwise specified. Each row corresponds to a separate model (exposures of interest are examined one at a time in separate models). Results come from a model of subcities nested in cities, with adjustment variables as defined below.
Adjusted 1, models are adjusted for: population size, population growth, and homicide rates at a city level, and living conditions and educational attainment scores at sub-city level.
This variable is only available for 129 cities, 4 countries.
For Peru the age range is 30-49, this indicator is only available for 176 L1AD, 6 countries.
Variable included as binary (0/1).
The models for these variables exclude the sub-city population educational attainment score. The results when sub-city population educational attainment was included were as follows: WA education score (RR 0.98; 95%CI 0.95,1.02), % women 25 and older with high school (RR 1.03; 95%CI 0.98,1.09), % men 25 and older with high school (RR 0.98; 95%CI 0.93,1.03), % women 25 and older with university (RR 0.97; 95%CI 0.94,1.00).