TABLE 1—

Results of the Spatial Regression Analyses of the Transformed Chlamydia, Gonorrhea, and Primary and Secondary Syphilis Rates (n = 2724 Counties): United States, 2000

Variable	Black, %	White, %	Male, %	Female, %	Total, %
Chlamydia
Model 1a: High race–income disparity group	34**	−3	16**	8*	9*
Model 2b: race–income disparity (continuous)	13**	2*	4*	4**	4**
Gonorrhea
Model 1a: High race–income disparity group	28**	6	24**	17**	23**
Model 2b: race–income disparity (continuous)	11**	3*	5**	5**	5**
Primary and secondary syphilis
Model 1a: High race–income disparity group	12*	1	3	3	2
Model 2b: race–income disparity (continuous)	1	0	4	5	2

Note. Each model included all the control variables. More detailed information on the results for the control variables for each disease model using total rates as the dependent variable can be found in a supplement to the online version of this article at http://www.ajph.org.

^aResults for model 1 are interpreted as the percentage difference in the dependent variable between the high vs low race–income disparity counties on average.

^bResults for model 2 are interpreted as the change in the dependent variable associated with a $10 000 increase in the difference between White and Black median incomes on average.

*P < .05; **P < .01.