Determining the spatial heterogeneity underlying racial and ethnic differences in timely mammography screening

Table 3 Five-number summary of the GWR logistic regression results; bandwidth 3000

Variable	Min	Q1	Median	Q3	Max
Predisposing
Race/ethnicity (ref. = non-Hispanic White)
Black	0.434	0.516	0.561	0.602	0.666
Hispanic/Latina	0.270	0.485	0.601	0.683	1.054
Other race	−0.734	−0.368	−0.214	−0.148	−0.091
Age	−0.007	−0.002	0.001	0.003	0.004
Educational attainment (ref. = no high school diploma)
High school	−0.261	−0.104	−0.065	−0.021	0.338
Some college	−0.170	−0.156	−0.145	−0.061	0.622
College or greater	−0.056	−0.019	0.012	0.070	0.818
Married	0.209	0.248	0.270	0.298	0.388
Enabling
Poverty status (1 = poor, 0 = non-poor)	−0.214	−0.184	−0.172	−0.123	0.285
Employment status (1 = employed, others = 0)	0.063	0.131	0.191	0.214	0.241
Insured (1 = having health insurance, 0 = no health insurance)	1.147	1.438	1.476	1.502	1.755
Source of healthcare
Community health center	0.818	0.846	0.857	0.900	1.352
Private practice	0.464	0.502	0.528	0.609	1.060
Outpatient clinic	0.289	0.302	0.348	0.505	1.031
Experienced medical discrimination	−0.494	−0.191	−0.144	−0.126	−0.106
Community connection	−0.004	0.065	0.076	0.079	0.080
Group membership	−0.033	0.036	0.062	0.075	0.099
Respondent residence—city (ref = suburban)	−0.022	0.015	0.041	0.053	0.092
Need
Poor of fair self-rated health	−0.575	−0.404	−0.368	−0.353	−0.259
Intercept	−2.354	−1.457	−1.344	−1.174	−0.759
Akaike Inf. Crit.	3609.497

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