Trends in HIV Risk, Testing, and Treatment among MSM in Chicago 2004–2014: Implications for HIV Elimination Planning View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-10

AUTHORS

Ethan Morgan, Britt Skaathun, Nicola Lancki, Antonio D. Jimenez, Jesus Ramirez-Valles, Ramona Bhatia, Stephanie Masiello-Schuette, Nanette Benbow, Nikhil Prachand, John A. Schneider

ABSTRACT

Men who have sex with men (MSM) in the USA continue to have high rates of HIV infection. Increasingly, in addition to behavioral factors, biomedical interventions have been found to play important roles in HIV prevention. In this analysis, we used four waves of cross-sectional data (2004, 2008, 2011, and 2014) from the National HIV Behavioral Surveillance System (NHBS) to examine trends in key behaviors and biomedical interventions among MSM in Chicago (N = 3298). Logistic regression was used to determine changes in behaviors and use of biomedical interventions. Condomless sex increased significantly in waves 3 and 4, compared to wave 1: wave 3 (AOR = 2.07; 95% CI 1.53, 2.78) and wave 4 (AOR = 2.19; 95% CI 1.62, 2.96). Compared to those aged 18-24, older participants were significantly less likely to be routinely tested for HIV: 30-39 (AOR = 0.63; 95% CI 0.48, 0.83), 40-49 (AOR = 0.40; 95% CI 0.29, 0.55), and >50 (AOR = 0.28; 95% CI 0.18, 0.43). Awareness of both post-exposure prophylaxis (PEP)(​AOR = 3.13; 95% CI 1.22, 8.03) and pre-exposure prophylaxis (PrEP)(​AOR = 10.02; 95% CI 2.95, 34.01) increased significantly in wave 4, compared to wave 3. These results suggest a potential increase in HIV rates among men with main and casual partners and should be monitored closely as PrEP becomes more widespread among MSM of all races and ethnicities in Chicago. This study also suggests that further analyses of the barriers to PEP and PreP uptake among high-risk populations are necessary. More... »

PAGES

699-709

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11524-017-0175-9

DOI

http://dx.doi.org/10.1007/s11524-017-0175-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086097936

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28631059


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11524-017-0175-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11524-017-0175-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11524-017-0175-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11524-017-0175-9'


 

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