Literature DB >> 22386616

Neighborhood drug markets: a risk environment for bacterial sexually transmitted infections among urban youth.

Jacky M Jennings1, Ralph B Taylor, Rama A Salhi, C Debra M Furr-Holden, Jonathan M Ellen.   

Abstract

We hypothesized that neighborhoods with drug markets, as compared to those without, have a greater concentration of infected sex partners, i.e. core transmitters, and that in these areas, there is an increased risk environment for STIs. This study determined if neighborhood drug markets were associated with a high-risk sex partnership and, separately, with a current bacterial STI (chlamydia and/or gonorrhea) after controlling for individual demographic and sexual risk factors among a household sample of young people in Baltimore City, MD. Analyses also tested whether links were independent of neighborhood socioeconomic status. Data for this study were collected from a household study, systematic social observations and police arrest, public health STI surveillance and U.S. census data. Nonlinear multilevel models showed that living in neighborhoods with household survey-reported drug markets increased the likelihood of having a high-risk sex partnership after controlling for individual-level demographic factors and illicit drug use and neighborhood socioeconomic status. Further, living in neighborhoods with survey-reported drug markets increased the likelihood of having a current bacterial STI after controlling for individual-level demographic and sexual risk factors and neighborhood socioeconomic status. The results suggest that local conditions in neighborhoods with drug markets may play an important role in setting-up risk environments for high-risk sex partnerships and bacterial STIs. Patterns observed appeared dependent on the type of drug market indicator used. Future studies should explore how conditions in areas with local drug markets may alter sexual networks structures and whether specific types of drug markets are particularly important in determining STI risk.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22386616      PMCID: PMC3383619          DOI: 10.1016/j.socscimed.2011.12.040

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  67 in total

1.  The available pool of sex partners and risk for a current bacterial sexually transmitted infection.

Authors:  Jacky M Jennings; Ralph Taylor; Vince G Iannacchione; Susan M Rogers; Shang-En Chung; Steven Huettner; Jonathan M Ellen
Journal:  Ann Epidemiol       Date:  2010-07       Impact factor: 3.797

2.  Drug use patterns and infection with sexually transmissible agents among young adults in a high-risk neighbourhood in New York City.

Authors:  Samuel R Friedman; Peter L Flom; Benny J Kottiri; Jonathan Zenilman; Richard Curtis; Alan Neaigus; Milagros Sandoval; Thomas Quinn; Don C Des Jarlais
Journal:  Addiction       Date:  2003-02       Impact factor: 6.526

3.  What you don't know can hurt you: perceptions of sex-partner concurrency and partner-reported behavior.

Authors:  Chavonne D Lenoir; Nancy E Adler; Dina L G Borzekowski; Jeanne M Tschann; Jonathan M Ellen
Journal:  J Adolesc Health       Date:  2006-03       Impact factor: 5.012

4.  Sociodemographic factors and the variation in syphilis rates among US counties, 1984 through 1993: an ecological analysis.

Authors:  P H Kilmarx; A A Zaidi; J C Thomas; A K Nakashima; M E St Louis; M L Flock; T A Peterman
Journal:  Am J Public Health       Date:  1997-12       Impact factor: 9.308

5.  Geographic epidemiology of gonorrhea in Baltimore, Maryland, using a geographic information system.

Authors:  K M Becker; G E Glass; W Brathwaite; J M Zenilman
Journal:  Am J Epidemiol       Date:  1998-04-01       Impact factor: 4.897

6.  Neighborhood environment and opportunity to use cocaine and other drugs in late childhood and early adolescence.

Authors:  R M Crum; M Lillie-Blanton; J C Anthony
Journal:  Drug Alcohol Depend       Date:  1996-12-11       Impact factor: 4.492

7.  An investigation of geographic clustering of repeat cases of gonorrhea and chlamydial infection in San Francisco, 1989-1993: evidence for core groups.

Authors:  J M Ellen; N A Hessol; R P Kohn; G A Bolan
Journal:  J Infect Dis       Date:  1997-06       Impact factor: 5.226

8.  Socioeconomic differences in sexually transmitted disease rates among black and white adolescents, San Francisco, 1990 to 1992.

Authors:  J M Ellen; R P Kohn; G A Bolan; S Shiboski; N Krieger
Journal:  Am J Public Health       Date:  1995-11       Impact factor: 9.308

9.  The influence of concurrent partnerships on the dynamics of HIV/AIDS.

Authors:  C H Watts; R M May
Journal:  Math Biosci       Date:  1992-02       Impact factor: 2.144

10.  Associations of depression, self-esteem, and substance use with sexual risk among adolescents.

Authors:  L A Shrier; S K Harris; M Sternberg; W R Beardslee
Journal:  Prev Med       Date:  2001-09       Impact factor: 4.018

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  18 in total

1.  Changes in Exposure to Neighborhood Characteristics are Associated with Sexual Network Characteristics in a Cohort of Adults Relocating from Public Housing.

Authors:  Hannah L F Cooper; Sabriya Linton; Danielle F Haley; Mary E Kelley; Emily F Dauria; Conny Chen Karnes; Zev Ross; Josalin Hunter-Jones; Kristen K Renneker; Carlos Del Rio; Adaora Adimora; Gina Wingood; Richard Rothenberg; Loida E Bonney
Journal:  AIDS Behav       Date:  2015-06

2.  Neighborhood and Network Characteristics and the HIV Care Continuum among Gay, Bisexual, and Other Men Who Have Sex with Men.

Authors:  Hong-Van Tieu; Beryl A Koblin; Carl Latkin; Frank C Curriero; Emily R Greene; Andrew Rundle; Victoria Frye
Journal:  J Urban Health       Date:  2020-10       Impact factor: 3.671

3.  Changing Places and Partners: Associations of Neighborhood Conditions With Sexual Network Turnover Among African American Adults Relocated From Public Housing.

Authors:  Sabriya L Linton; Hannah L F Cooper; Ruiyan Luo; Conny Karnes; Kristen Renneker; Danielle F Haley; Emily F Dauria; Josalin Hunter-Jones; Zev Ross; Gina M Wingood; Adaora A Adimora; Loida Bonney; Richard Rothenberg
Journal:  Arch Sex Behav       Date:  2016-02-29

4.  Application of space-time scan statistics to describe geographic and temporal clustering of visible drug activity.

Authors:  Sabriya L Linton; Jacky M Jennings; Carl A Latkin; Marisela B Gomez; Shruti H Mehta
Journal:  J Urban Health       Date:  2014-10       Impact factor: 3.671

5.  Identifying and characterizing places for the targeted control of heterosexual HIV transmission in urban areas.

Authors:  Sarah Polk; Jonathan M Ellen; Caroline Fichtenberg; Steven Huettner; Meredith Reilly; Jenita Parekh; Jacky M Jennings
Journal:  AIDS Behav       Date:  2014-08

6.  Correlates of prescription drug market involvement among young adults.

Authors:  Mike Vuolo; Brian C Kelly; Brooke E Wells; Jeffrey T Parsons
Journal:  Drug Alcohol Depend       Date:  2014-08-17       Impact factor: 4.492

7.  Are social organizational factors independently associated with a current bacterial sexually transmitted infection among urban adolescents and young adults?

Authors:  Jacky M Jennings; Devon J Hensel; Amanda E Tanner; Meredith L Reilly; Jonathan M Ellen
Journal:  Soc Sci Med       Date:  2014-07-30       Impact factor: 4.634

8.  Socioeconomic disparities in sexually transmitted infections among young adults in the United States: examining the interaction between income and race/ethnicity.

Authors:  Guy Harling; Sv Subramanian; Till Bärnighausen; Ichiro Kawachi
Journal:  Sex Transm Dis       Date:  2013-07       Impact factor: 2.830

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

Authors:  Phillip Marotta
Journal:  J Urban Health       Date:  2017-04       Impact factor: 3.671

10.  The spatial and temporal association of neighborhood drug markets and rates of sexually transmitted infections in an urban setting.

Authors:  Jacky M Jennings; Stacy E Woods; Frank C Curriero
Journal:  Health Place       Date:  2013-06-27       Impact factor: 4.078

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