2017
DOI: 10.1136/sextrans-2016-052889
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Relationships between neighbourhood characteristics and current STI status among HIV-infected and HIV-uninfected women living in the Southern USA: a cross-sectional multilevel analysis

Abstract: Objectives Neighbourhood characteristics (e.g., high poverty rates) are associated with sexually transmitted infections (STIs) among HIV-uninfected women in the United States (US). However, no multilevel analyses investigating the associations between neighbourhood exposures and STIs have explored these relationships among women living with HIV infection. The objectives of this study were to: 1) examine relationships between neighbourhood characteristics and current STI status, and 2) investigate whether the m… Show more

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Cited by 17 publications
(22 citation statements)
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“…The direction of this relationship was unexpected. Elements of our neighborhood disorder component, including STI prevalence and violent crime, are associated with partner concurrency, STI acquisition, and greater perceived sexual partner risk [16, 37, 38]. It is possible that women living in neighborhoods with greater social disorder perceived their partners to be riskier, and that these perceptions discouraged engaging in AI or promoted condom use during AI [3941].…”
Section: Discussionmentioning
confidence: 99%
“…The direction of this relationship was unexpected. Elements of our neighborhood disorder component, including STI prevalence and violent crime, are associated with partner concurrency, STI acquisition, and greater perceived sexual partner risk [16, 37, 38]. It is possible that women living in neighborhoods with greater social disorder perceived their partners to be riskier, and that these perceptions discouraged engaging in AI or promoted condom use during AI [3941].…”
Section: Discussionmentioning
confidence: 99%
“…58, 15, 28 Measures of county socioeconomic advantage (i.e., median household income, percentage of residents 25 or older with a college degree or greater, and percentage of residents over age 16 who were employed) were created using ACS 2010–2014 5-year estimates. Because these socioeconomic measures were correlated, we used principal component analysis (PCA) with orthogonal rotation (varimax) to capture underlying constructs and avoid multicollinearity.…”
Section: Methodsmentioning
confidence: 99%
“…The concentrated disadvantage and housing instability are associated with less social cohesion resulting in more crime and violence in the neighborhood, 23 as well as adolescents’ early sexual initiation, 24 lower condom use, 25 and higher rates of STIs. 26 …”
Section: Introductionmentioning
confidence: 99%