Residential segregation and gonorrhea rates in US metropolitan statistical areas, 2005-2009

Racial/Ethnic Differences in Sexually Transmitted Infection Testing Among Transgender Men and Nonbinary Assigned Female at Birth Young Adults in the United States: a National Study

BACKGROUND

Sexually transmitted infections (STIs) cause a major burden of disease in the United States (US)-especially among structurally marginalized populations, including transgender and nonbinary people, individuals assigned female at birth (AFAB), Black and Latinx/e individuals, and young adults. Although screening can help detect and prevent STIs, research on STI testing among populations at diverse intersections of multiple forms of structural marginalization, including Black, Latinx/e, and other racially/ethnically minoritized transgender men and nonbinary AFAB US young adults, is extremely scarce.

METHODS

We conducted a national cross-sectional online survey of transgender and nonbinary US young adults from February to July 2019. Using Poisson regression, we estimated prevalence ratios (PR) and 95% confidence intervals (CI) for the associations between race/ethnicity-which we conceptualized as a system of structural inequality that shapes individuals' and groups' exposure to racism-and lifetime and past-year STI testing among transgender men and nonbinary AFAB US young adults aged 18-30 years with at least one-lifetime sexual partner (N = 378).

RESULTS

Approximately 74% of participants had received an STI test in their lifetime, and, among those, 72% with a past-year sexual partner had been tested for an STI in the last 12 months. We observed no statistically significant association between race/ethnicity and lifetime STI testing among transgender and nonbinary AFAB young adults with a lifetime sexual partner. In contrast, Black (PR = 1.32; 95%: 1.03, 1.68) and Latinx/e (PR = 1.39; 95% CI: 1.11, 1.75) transgender men and nonbinary AFAB young adults who ever received an STI test and had a past-year sexual partner were significantly more likely to have received an STI test in the last 12 months relative to their White counterparts, adjusting for demographic factors. Further adjustment for lifetime STI diagnosis and health insurance status did not appreciably attenuate these observed adjusted differences; however, the adjusted difference in the prevalence of past-year STI testing between Black (but not Latinx/e) and White transgender men and nonbinary AFAB young adults was no longer statistically significant upon further adjustment for educational attainment and employment status, possibly due to small sample sizes.

CONCLUSION

The higher adjusted prevalence of past-year STI testing among Black and Latinx/e compared to White transgender men and nonbinary AFAB US young adults may reflect racist and xenophobic sexual stereotypes about Black and Latinx/e people among health care providers and institutions, the history of hyper-surveillance of Black and Latinx/e people by public health institutions in the context of infectious disease containment, and/or agency and resistance among Black and Latinx/e transgender men and nonbinary AFAB young adults with regard to sexual health promotion in the face of multiple compounding systems of oppression.

Relationship Between Sexually Transmitted Infections and Social Determinants of Health in Durham County, North Carolina, United States

Background

Sexually transmitted infections (STIs) are increasing in the United States, and certain populations are more at risk than others. One explanation for this is inequities in underlying social determinants of health (SDOH).

Methods

We analyzed chlamydia, gonorrhea, and syphilis cases in Durham County, North Carolina, from 01/01/2020 to 12/31/2020 by select SDOH at the census tract level. We included 48 variables of interest, including variables related to income, education, transportation, and health insurance. For each variable, we modeled STI incidence at the census tract level using Poisson regression. Wald's chi-square was used to determine which variables were significantly associated with STI incidence.

Results

Of 24 variables that were statistically associated with STI incidence at the census tract level, 9 were negatively associated and 15 positively associated with STI incidence. Having employer health insurance was most strongly associated with lower-than-expected STI incidence, and having Medicaid insurance, no health insurance, using public transportation, and income below the poverty level were most strongly associated with higher-than-expected STI incidence. Lastly, STI incidence was not associated with race or ethnicity overall across Durham County, except in historically marginalized areas, where we found higher-than-expected STI incidence.

Conclusions

We found that lacking health insurance, having Medicaid insurance, using public transportation, and income below the poverty level were most strongly associated with higher-than-expected STI incidence. Strategies to combat increasing STIs may include improving access to health insurance, reducing barriers to cost-effective and timely transportation to medical appointments, and raising wages to bring individuals out of poverty.

Diverging Neisseria gonorrhoeae Morbidity in Non-Hispanic Black and White Females: Application of Group-Based Trajectory Modeling to Trends in County-Level Morbidity 2003-2018

National trends in gonorrhea rates may obscure informative local variations in morbidity. We used group-based trajectory models to identify groups of counties with similar gonorrhea rate trajectories among non-Hispanic White (NHW) and non-Hispanic Black (NHB) females using county-level data on gonorrhea cases in US females from 2003 to 2018. We assessed models with 1-15 groups and selected final models based on fit statistics and identification of divergent trajectory groups with distinct intercepts and/or slopes. We mapped counties by assigned trajectory group and examined the association of county characteristics with group membership. We identified 7 distinct gonorrhea trajectory groups for NHW females and 9 distinct trajectory groups for NHB females. All identified groups for NHW female morbidity experienced increasing gonorrhea rates with a limited range (11.6-183.3/100,000 NHW females in 2018); trajectories of NHB female morbidity varied widely in rates (146.6-966.0/1000 NHB females in 2018) and included 3 groups of counties that experienced a net decline in gonorrhea rates. Counties with higher NHW female morbidity had lower adult sex ratios, lower health insurance coverage, and lower marital rates among NHW adults. Counties with higher NHB female morbidity were more urban, experienced higher rates of poverty, and had lower rates of marriage among NHB adults. Morbidity patterns did not always follow geographic proximity, which could be explained by variation in social determinants of health. Our results demonstrated a highly heterogenous gonorrhea epidemic among NHW and NHB US females, which should prompt further analysis into the differential drivers of gonorrhea morbidity.

Report From the National Academies of Sciences, Engineering and Medicine-STI: Adopting a Sexual Health Paradigm-A Synopsis for Sexually Transmitted Infection Practitioners, Clinicians, and Researchers

ABSTRACT

Despite decades of medical, diagnostic, and public health advances related to diagnosis and management of sexually transmitted infections (STIs), rates of reportable STIs continue to grow. A 2021 National Academies of Sciences, Engineering, and Medicine report on the current state of STI management and prevention in the United States, entitled Sexually Transmitted Infections: Adopting a Sexual Health Paradigm, offers recommendations on future public health programs, policy, and research. This new report builds upon the 1997 Institute of Medicine report, The Hidden Epidemic: Confronting Sexually Transmitted Diseases, and provides 11 recommendations organized under 4 action areas: (1) adopt a sexual health paradigm, (2) broaden ownership and accountability for responding to STIs, (3) bolster existing systems and programs for responding to STIs, and (4) embrace innovation and policy change to improve sexual health. We present our interpretive synopsis of this report, highlighting elements of particular interest to STI and sexual health practitioners, including clinicians, researchers, disease intervention specialists, community outreach workers, and public health staff. The report asserts that it is possible to create a healthier and more equitable future where fewer adolescents and adults are infected, fewer babies are born with STIs, and people entering their sexual debut and continuing throughout the life span are taught the language and skills to conceptualize and enact their own vision for what it means to be sexually healthy.

Improving Sexual Health in U.S. Rural Communities: Reducing the Impact of Stigma

Sexually transmitted infections (STI), including HIV, are among the most reported diseases in the U.S. and represent some of America's most significant health disparities. The growing scarcity of health care services in rural settings limits STI prevention and treatment for rural Americans. Local health departments are the primary source for STI care in rural communities; however, these providers experience two main challenges, also known as a double disparity: (1) inadequate capacity and (2) poor health in rural populations. Moreover, in rural communities the interaction of rural status and key determinants of health increase STI disparities. These key determinants can include structural, behavioral, and interpersonal factors, one of which is stigma. Engaging the expertise and involvement of affected community members in decisions regarding the needs, barriers, and opportunities for better sexual health is an asset and offers a gateway to sustainable, successful, and non-stigmatizing STI prevention programs.

Investigating the Impact of Using an Alternate Classification Method for Race and Hispanic Ethnicity on Rates of Reported Gonorrhea

BACKGROUND

We aimed to examine how the classification of gonorrhea cases by race and Hispanic ethnicity (HE) affects the measurement of racial/HE disparities in the rates of reported gonorrhea.

METHODS

We examined gonorrhea cases reported through the National Notifiable Diseases Surveillance System from January 1, 2010, to December 31, 2017, and assigned race and HE using (1) "current classification," where cases with HE are classified as Hispanic regardless of race (e.g., Hispanic, non-Hispanic White, and non-Hispanic Black), and 2) "alternate classification," which separates each race category by HE (e.g., Hispanic White and non-Hispanic White). We estimated annual gonorrhea rates during 2010 to 2017 by race/HE category and calculated disparity measures (index of disparity, population-attributable proportion, and Gini coefficient) for gonorrhea rates under each classification strategy.

RESULTS

All disparity measures revealed decreases in racial/HE disparities in the rates of reported gonorrhea during 2010 to 2017, regardless of classification strategy; however, the magnitude of the disparity and the percent change in the disparity over time varied across disparity measures.

CONCLUSIONS

Understanding how classification of race/HE affects observed disparities is critical when monitoring interventions to reduce disparities and improve health equity.

COVID-19 cases in US counties: roles of racial/ethnic density and residential segregation

OBJECTIVE

To investigate how racial/ethnic density and residential segregation shape the uneven burden of COVID-19 in US counties and whether (if yes, how) residential segregation moderates the association between racial/ethnic density and infections.

DESIGN

We first merge various risk factors from federal agencies (e.g. Census Bureau and Centers for Disease Control and Prevention) with COVID-19 cases as of June 13th in contiguous US counties (N = 3,042). We then apply negative binomial regression to the county-level dataset to test three interrelated research hypotheses and the moderating role of residential segregation is presented with a figure.

RESULTS

Several key results are obtained. (1) Counties with high racial/ethnic density of minority groups experience more confirmed cases than those with low levels of density. (2) High levels of residential segregation between whites and non-whites increase the number of COVID-19 infections in a county, net of other risk factors. (3) The relationship between racial/ethnic density and COVID-19 infections is enhanced with the increase in residential segregation between whites and non-whites in a county.

CONCLUSIONS

The pre-existing social structure like residential segregation may facilitate the spread of COVID-19 and aggravate racial/ethnic health disparities in infections. Minorities are disproportionately affected by the novel coronavirus and focusing on pre-existing social structures and discrimination in housing market may narrow the uneven burden across racial/ethnic groups.

Evidence for HIV transmission across key populations: a longitudinal analysis of HIV and AIDS rates among Black people who inject drugs and Black heterosexuals in 84 large U.S. metropolitan areas, 2008-2016

PURPOSE

To assess cross-population linkages in HIV/AIDS epidemics, we tested the hypothesis that the number of newly diagnosed AIDS cases among Black people who inject drugs (PWID) was positively related to the natural log of the rate of newly diagnosed HIV infections among Black non-PWID heterosexuals in 84 large U.S. metropolitan statistical areas (MSAs) in 2008-2016.

METHODS

We estimated a multilevel model centering the time-varying continuous exposures at baseline between the independent (Black PWID AIDS rates) and dependent (HIV diagnoses rate among Black heterosexuals) variables.

RESULTS

At MSA level, baseline (standardized β = 0.12) Black PWID AIDS rates and change in these rates over time (standardized β = 0.11) were positively associated with the log of new HIV diagnoses rates among Black heterosexuals. Thus, MSAs with Black PWID AIDS rates that were 1 standard deviation= higher at baseline also had rates of newly diagnosed HIV infections among Black non-PWID heterosexuals that were 10.3% higher. A 1 standard deviation increase in independent variable over time corresponded to a 7.8% increase in dependent variable.

CONCLUSIONS

Black PWID AIDS rates may predict HIV rates among non-PWID Black heterosexuals. Effective HIV programming may be predicated, in part, on addressing intertwining of HIV epidemics across populations.

Applying a health equity tool to assess a public health nursing guideline for practice in sexually transmitted infection assessment in British Columbia

SETTING

There is a multitude of health equity tools but little guidance on how to effectively use these tools in public health nursing practice. In BC, public health nurses who are certified in sexually transmitted infection care utilize guidelines authorized by the nursing regulatory body.

INTERVENTION

As part of the Equity Lens in Public Health (ELPH) research project, an assessment of the nursing guideline, Sexually Transmitted Infection (STI) Assessment Decision Support Tool, was undertaken using the Assessing Equity in Clinical Practice Guidelines health equity assessment tool. The chosen tool is intended for use by health care providers, is broadly applicable to clinical practice guidelines, can be used retrospectively, and falls within the category of equity checklists and audits.

OUTCOMES

Overall, the tool was useful in assessing the inclusion and omission of an equity focus in the guideline. However, there were several challenges: the identification of an appropriate health equity tool; the absence of an evaluation of the chosen tool; the tool's focus on chronic disease versus communicable disease; and the difficulty of obtaining client perspectives.

IMPLICATIONS

For an improved equity lens in the STI Assessment Decision Support Tool, future revisions should be equity focused and include perspectives from affected populations, an emphasis on the determinants of health that perpetuate inequities for populations who experience a disproportionate burden of STI, information on provincially available resources, and service delivery models that improve timely and equitable access to treatment and care.

Mortgage Discrimination and Racial/Ethnic Concentration Are Associated with Same-Race/Ethnicity Partnering among People Who Inject Drugs in 19 US Cities

Racial/ethnic homophily in sexual partnerships (partners share the same race/ethnicity) has been associated with racial/ethnic disparities in HIV. Structural racism may partly determine racial/ethnic homophily in sexual partnerships. This study estimated associations of racial/ethnic concentration and mortgage discrimination against Black and Latino residents with racial/ethnic homophily in sexual partnerships among 7847 people who inject drugs (PWID) recruited from 19 US cities to participate in CDC's National HIV Behavioral Surveillance. Racial/ethnic concentration was defined by two measures that respectively compared ZIP code-level concentrations of Black residents to White residents and Latino residents to White residents, using the Index of Concentration at the Extremes. Mortgage discrimination was defined by two measures that respectively compared county-level mortgage loan denial among Black applicants to White applicants and mortgage loan denial among Latino applicants to White applicants, with similar characteristics (e.g., income, loan amount). Multilevel logistic regression models were used to estimate associations. Interactions of race/ethnicity with measures of racial/ethnic concentration and mortgage discrimination were added to the final multivariable model and decomposed into race/ethnicity-specific estimates. In the final multivariable model, among Black PWID, living in ZIP codes with higher concentrations of Black vs. White residents and counties with higher mortgage discrimination against Black residents was associated with higher odds of homophily. Living in counties with higher mortgage discrimination against Latino residents was associated with lower odds of homophily among Black PWID. Among Latino PWID, living in ZIP codes with higher concentrations of Latino vs. White residents and counties with higher mortgage discrimination against Latino residents was associated with higher odds of homophily. Living in counties with higher mortgage discrimination against Black residents was associated with lower odds of homophily among Latino PWID. Among White PWID, living in ZIP codes with higher concentrations of Black or Latino residents vs. White residents was associated with lower odds of homophily, but living in counties with higher mortgage discrimination against Black residents was associated with higher odds of homophily. Racial/ethnic segregation may partly drive same race/ethnicity sexual partnering among PWID. Future empirical evidence linking these associations directly or indirectly (via place-level mediators) to HIV/STI transmission will determine how eliminating discriminatory housing policies impact HIV/STI transmission.

Relationship of Racial Residential Segregation to Newly Diagnosed Cases of HIV among Black Heterosexuals in US Metropolitan Areas, 2008-2015

Social science and public health literature has framed residential segregation as a potent structural determinant of the higher HIV burden among black heterosexuals, but empirical evidence has been limited. The purpose of this study is to test, for the first time, the association between racial segregation and newly diagnosed heterosexually acquired HIV cases among black adults and adolescents in 95 large US metropolitan statistical areas (MSAs) in 2008-2015. We operationalized racial segregation (the main exposure) using Massey and Denton's isolation index for black residents; the outcome was the rate of newly diagnosed HIV cases per 10,000 black adult heterosexuals. We tested the relationship of segregation to this outcome using multilevel multivariate models of longitudinal (2008-2015) MSA-level data, controlling for potential confounders and time. All covariates were lagged by 1 year and centered on baseline values. We preliminarily explored mediation of the focal relationship by inequalities in education, employment, and poverty rates. Segregation was positively associated with the outcome: a one standard deviation decrease in baseline isolation was associated with a 16.2% reduction in the rate of new HIV diagnoses; one standard deviation reduction in isolation over time was associated with 4.6% decrease in the outcome. Exploratory mediation analyses suggest that black/white socioeconomic inequality may mediate the relationship between segregation and HIV. Our study suggests that residential segregation may be a distal determinant of HIV among black heterosexuals. The findings further emphasize the need to address segregation as part of a comprehensive strategy to reduce racial inequities in HIV.

Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems

BACKGROUND

Health inequality measurements are vital in understanding disease patterns in identifying high-risk patients and implementing effective intervention programs to treat and manage sexually transmitted diseases.

OBJECTIVES

To measure and identify inequalities among chlamydia and gonorrhea rates using Gini coefficient measurements and spatial visualization mapping from geographical information systems. Additionally, we seek to examine trends of disease rate distribution longitudinally over a ten-year period for an urbanized county.

METHODS

Chlamydia and gonorrhea data from January 2005 to December 2014 were collected from the Indiana Network for Patient Care, a health information exchange system that gathers patient data from electronic health records. The Gini coefficient was used to calculate the magnitude of inequality in disease rates. Spatial visualization mapping and decile categorization of disease rates were conducted to identify locations where high and low rates of disease persisted and to visualize differences in inequality. A multiple comparisons ANOVA test was conducted to determine if Gini coefficient values were statistically different between townships and time periods during the study.

RESULTS

Our analyses show that chlamydia and gonorrhea rates are not evenly distributed. Inequalities in disease rates existed for different areas of the county with higher disease rates occurring near the center of the county. Inequality in gonorrhea rates were higher than chlamydia rates. Disease rates were statistically different when geographical locations or townships were compared to each other (p < 0.0001) but not for different years or time periods (p = 0.5152).

CONCLUSION

The ability to use Gini coefficients combined with spatial visualization techniques presented a valuable opportunity to analyze information from health information systems in investigating health inequalities. Knowledge from this study can benefit and improve health quality, delivery of services, and intervention programs while managing healthcare costs.

States with higher minimum wages have lower STI rates among women: Results of an ecological study of 66 US metropolitan areas, 2003-2015

Prior research has found that places and people that are more economically disadvantaged have higher rates and risks, respectively, of sexually transmitted infections (STIs). Economic disadvantages at the level of places and people, however, are themselves influenced by economic policies. To enhance the policy relevance of STI research, we explore, for the first time, the relationship between state-level minimum wage policies and STI rates among women in a cohort of 66 large metropolitan statistical areas (MSAs) in the US spanning 2003-2015. Our annual state-level minimum wage measure was adjusted for inflation and cost of living. STI outcomes (rates of primary and secondary syphilis, gonorrhea and chlamydia per 100,000 women) were obtained from the CDC. We used multivariable hierarchical linear models to test the hypothesis that higher minimum wages would be associated with lower STI rates. We preliminarily explored possible socioeconomic mediators of the minimum wage/STI relationship (e.g., MSA-level rates of poverty, employment, and incarceration). We found that a $1 increase in the price-adjusted minimum wage over time was associated with a 19.7% decrease in syphilis rates among women and with an 8.5% drop in gonorrhea rates among women. The association between minimum wage and chlamydia rates did not meet our cutpoint for substantive significance. Preliminary mediation analyses suggest that MSA-level employment among women may mediate the relationship between minimum wage and gonorrhea. Consistent with an emerging body of research on minimum wage and health, our findings suggest that increasing the minimum wage may have a protective effect on STI rates among women. If other studies support this finding, public health strategies to reduce STIs among women should include advocating for a higher minimum wage.

Racial Residential Segregation and STI Diagnosis Among Non-Hispanic Blacks, 2006-2010

Sexually transmitted infections (STI) disproportionately impact non-Hispanic blacks. Racial residential segregation has been associated with negative socioeconomic outcomes. We sought to examine the association between segregation and STI diagnosis among blacks. The National Survey of Family Growth and US Census served as data sources. Five distinct dimensions represent segregation. The association between STI diagnosis and each segregation dimension was assessed with multilevel logistic regression modeling. 305 (7.4%) blacks reported STI diagnosis during the past 12 months. Depending on the dimension, segregation was a risk factor [dissimilarity aOR 2.41 (95% CI 2.38-2.43)] and a protective factor [isolation aOR 0.90 (95% CI 0.89-0.91)] for STI diagnosis. Findings suggest that STI diagnosis among blacks is associated with segregation. Additional research is needed to identify mechanisms for how segregation affects STI diagnosis and to aid in the development of interventions to decrease STIs.

The Black-White Disparity in Sexually Transmitted Diseases During Pregnancy: How Do Racial Segregation and Income Inequality Matter?

BACKGROUND

We investigate the roles of residential racial segregation and income inequality for the black-white disparity in acquiring sexually transmitted diseases (STD) during pregnancy in a multilevel framework.

METHODS

The analytic sample consisted of non-Hispanic white (n = 79,271) and non-Hispanic black (n = 17,669) mothers from 2012 population birth data from Pennsylvania. We used the 2009 to 2013 American Community Survey for neighborhood characteristics of mothers; we used multilevel models.

RESULTS

First, neighborhood-level factors are important for understanding this disparity because racial segregation and income inequality are significantly associated with acquiring STD during pregnancy, regardless of race. Second, racial segregation moderates the relationships between race/ethnicity and the acquisition of STD during pregnancy. White mothers are more vulnerable to neighborhood segregation than black mothers, and black mothers are less likely to acquire STD during pregnancy than white mothers if they reside with co-ethnics. Third, mothers residing in the most socioeconomically disadvantaged neighborhoods-as indicated by both absolute and relative measures of income inequality-have the highest odds of acquiring STD during pregnancy, regardless of race.

CONCLUSIONS

Neighborhood-level segregation and income inequality are important for understanding the acquisition of STDs during pregnancy. Our findings have important implications for future research and for place-specific prevention and intervention to reduce the racial disparity in STD during pregnancy.

Assessing Spatial Relationships between Race, Inequality, Crime, and Gonorrhea and Chlamydia in the United States

Incidence rates of chlamydia and gonorrhea reached unprecedented levels in 2015 and are concentrated in southern counties of the USA. Using incidence data from the Center for Disease Control, Moran's I analyses assessed the data for statistically significant clusters of chlamydia and gonorrhea at the county level in 46 states of the USA. Lagrange multiplier diagnostics justified selection of the spatial Durbin regression model for chlamydia and the spatial error model for gonorrhea. Rates of chlamydia (Moran's I = .37, p < .001) and gonorrhea (Moran's I = .38, p < .001) were highly clustered particularly in the southern region of the USA. Logged percent in poverty (B = .49, p < .001 and B = .48, p < .001) and racial composition of African-Americans (B = .16, p < .001 and B = .40, p < .001); Native Americans (B = .12, p < .001 and B = .20, p < .001); and Asians (B = .14, p < .001 and B = .09, p < .001) were significantly associated with greater rates of chlamydia and gonorrhea, respectively, after accounting for spatial dependence in the data. Logged rates of rates violent crimes were associated with chlamydia (B = .053, p < .001) and gonorrhea (B = .10, p < .001). Logged rates of drug crimes (.052, p < .001) were only associated with chlamydia. Metropolitan census designation was associated with logged rates of chlamydia (B = .12, p < .001) and gonorrhea (B = .24, p < .001). Spatial heterogeneity in the distribution of rates of chlamydia and gonorrhea provide important insights for strategic public health interventions in the USA and inform the allocation of limited resources for the prevention of chlamydia and gonorrhea.

Assessing Spatial Relationships Between Rates of Crime and Rates of Gonorrhea and Chlamydia in Chicago, 2012

Sexually transmitted infections (STIs) remain serious public health problems particularly in urban environments in the USA. Despite accumulating research into the role of aggregate rates of crime in shaping rates of STIs, few studies account for spatial dependence in the structure of geographical data. Using multiple spatial analysis methodologies, the following study investigated spatial patterns in community area rates of violent, drug, and property crimes and rates of infection of gonorrhea and chlamydia in 77 community areas in Chicago. Moran's I analyses confirmed global spatial dependence and statistically significant clusters of STI. Spatial lag regression analyses found that greater rates of drug crimes were associated with higher rates of chlamydia and gonorrhea after adjusting for percent in poverty and racial composition. Finally, a weighted geographic regression identified regions in the urban environment in which local regression coefficient values diverged from their global estimates. Spatial heterogeneity of STIs suggest that public health interventions must be targeted to specific areas of the urban environment with particular attention to substance use.

Associations of place characteristics with HIV and HCV risk behaviors among racial/ethnic groups of people who inject drugs in the United States

PURPOSE

Investigate whether characteristics of geographic areas are associated with condomless sex and injection-related risk behavior among racial/ethnic groups of people who inject drugs (PWID) in the United States.

METHODS

PWID were recruited from 19 metropolitan statistical areas for 2009 National HIV Behavioral Surveillance. Administrative data described ZIP codes, counties, and metropolitan statistical areas where PWID lived. Multilevel models, stratified by racial/ethnic groups, were used to assess relationships of place-based characteristics to condomless sex and injection-related risk behavior (sharing injection equipment).

RESULTS

Among black PWID, living in the South (vs. Northeast) was associated with injection-related risk behavior (adjusted odds ratio [AOR] = 2.24, 95% confidence interval [CI] = 1.21-4.17; P = .011), and living in counties with higher percentages of unaffordable rental housing was associated with condomless sex (AOR = 1.02, 95% CI = 1.00-1.04; P = .046). Among white PWID, living in ZIP codes with greater access to drug treatment was negatively associated with condomless sex (AOR = 0.93, 95% CI = 0.88-1.00; P = .038).

CONCLUSIONS

Policies that increase access to affordable housing and drug treatment may make environments more conducive to safe sexual behaviors among black and white PWID. Future research designed to longitudinally explore the association between residence in the south and injection-related risk behavior might identify specific place-based features that sustain patterns of injection-related risk behavior.

Screening for nonviral sexually transmitted infections in adolescents and young adults

Prevalence rates of many sexually transmitted infections (STIs) are highest among adolescents. If nonviral STIs are detected early, they can be treated, transmission to others can be eliminated, and sequelae can be averted. The US Preventive Services Task Force and the Centers for Disease Control and Prevention have published chlamydia, gonorrhea, and syphilis screening guidelines that recommend screening those at risk on the basis of epidemiologic and clinical outcomes data. This policy statement specifically focuses on these curable, nonviral STIs and reviews the evidence for nonviral STI screening in adolescents, communicates the value of screening, and outlines recommendations for routine nonviral STI screening of adolescents.