BACKGROUND: The residential segregation of black populations, often in areas of high-economic disadvantage and low social status, may play a crucial role in the observed racial inequities in sexually transmitted disease rates. METHODS: An ecological analysis of 2005 to 2009 average gonorrhea rates was performed across 277 US metropolitan statistical areas (MSAs). The black isolation index and Gini index of income inequality were used as proxy measures for racial and economic residential segregation respectively, derived from 2005 to 2009 US Census estimates. We used logistic regression modeling to produce estimates of odds ratios (ORs) and 95% confidence intervals (CIs) for the association between the segregation indices, both independently and in combination, on gonorrhea rates in MSAs. Effect measure modification was assessed by calculating the relative excess risk due to interaction between the 2 indices. RESULTS: Compared with MSAs with low levels of racial segregation, MSAs with high levels of racial segregation had increased odds of high gonorrhea rates (adjusted OR, 3.37; 95% CI, 1.23-9.21). Similarly, higher levels of income inequality predicted higher gonorrhea rates, although this association did not persist after adjustment for potential confounders (adjusted OR, 1.54; 95% CI, 0.74-3.24). In combined models, the influence of racial residential segregation on gonorrhea rates was stronger than that of income inequality-based segregation; there was no evidence of additivity or a multiplicative interaction. CONCLUSIONS: Residential segregation by race or income equality may be a key component in the perpetuation of high rates of gonorrhea and other sexually transmitted diseases among black populations in the United States.
BACKGROUND: The residential segregation of black populations, often in areas of high-economic disadvantage and low social status, may play a crucial role in the observed racial inequities in sexually transmitted disease rates. METHODS: An ecological analysis of 2005 to 2009 average gonorrhea rates was performed across 277 US metropolitan statistical areas (MSAs). The black isolation index and Gini index of income inequality were used as proxy measures for racial and economic residential segregation respectively, derived from 2005 to 2009 US Census estimates. We used logistic regression modeling to produce estimates of odds ratios (ORs) and 95% confidence intervals (CIs) for the association between the segregation indices, both independently and in combination, on gonorrhea rates in MSAs. Effect measure modification was assessed by calculating the relative excess risk due to interaction between the 2 indices. RESULTS: Compared with MSAs with low levels of racial segregation, MSAs with high levels of racial segregation had increased odds of high gonorrhea rates (adjusted OR, 3.37; 95% CI, 1.23-9.21). Similarly, higher levels of income inequality predicted higher gonorrhea rates, although this association did not persist after adjustment for potential confounders (adjusted OR, 1.54; 95% CI, 0.74-3.24). In combined models, the influence of racial residential segregation on gonorrhea rates was stronger than that of income inequality-based segregation; there was no evidence of additivity or a multiplicative interaction. CONCLUSIONS: Residential segregation by race or income equality may be a key component in the perpetuation of high rates of gonorrhea and other sexually transmitted diseases among black populations in the United States.
Authors: Umedjon Ibragimov; Stephanie Beane; Adaora A Adimora; Samuel R Friedman; Leslie Williams; Barbara Tempalski; Ron Stall; Gina Wingood; H Irene Hall; Anna Satcher Johnson; Hannah L F Cooper Journal: J Urban Health Date: 2019-12 Impact factor: 3.671
Authors: Cheryl Prescott; Sana Z Shahram; Gina Ogilvie; Noorjean Hassam; Alison Swalwell Franks; Bernie Pauly Journal: Can J Public Health Date: 2020-02-21
Authors: Sabriya L Linton; Hannah L F Cooper; Yen-Tyng Chen; Mohammed A Khan; Mary E Wolfe; Zev Ross; Don C Des Jarlais; Samuel R Friedman; Barbara Tempalski; Dita Broz; Salaam Semaan; Cyprian Wejnert; Gabriela Paz-Bailey Journal: J Urban Health Date: 2020-02 Impact factor: 3.671
Authors: Sabriya L Linton; Hannah L F Cooper; Mary E Kelley; Conny C Karnes; Zev Ross; Mary E Wolfe; Yen-Tyng Chen; Samuel R Friedman; Don Des Jarlais; Salaam Semaan; Barbara Tempalski; Catlainn Sionean; Elizabeth DiNenno; Cyprian Wejnert; Gabriela Paz-Bailey Journal: Ann Epidemiol Date: 2016-08-08 Impact factor: 3.797