Methods: Gonorrhea case information was obtained from the BC Health Department. Cases were geocoded to census block groups using ArcGIS. Our gender-based power measure was theoretically-based and developed in a previous analysis. Neighborhood poverty and sex ratio were calculated using Census 2000 data. Mediation was examined using longitudinal binomial regression.
Results: The results were supportive of mediation. The effect of poverty on GC was reduced by 30% after accounting for power (IRR=1.52 vs IRR=1.23), and there was a dose-response relationship between power and GC. The sex ratio did not reduce the effect of poverty (IRR=1.52 vs IRR=1.50), although it was independently associated with GC.
Conclusions: It is important to identify contextual influences on STIs for more effective interventions.
Learning Objectives:
1. Recognize that there are social mechanisms operating in neighborhoods that may explain racial differences in STI rates.
2. Identify how one social mechanism, i.e. gender-based power imbalance, may work to influence STI rates in neighborhoods.
3. Discuss why the sex ratio does not appear to be related to STIs, while gender-based power appears to have a consistent association.
Qualified on the content I am responsible for because: No qualifications on the content
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.
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