Literature DB >> 26837461

The impact of age, HIV serostatus and seroconversion on methamphetamine use.

Jessica L Montoya1, Jordan Cattie1, Erin Morgan2, Steven Paul Woods2, Mariana Cherner2, David J Moore2, J Hampton Atkinson2,3, Igor Grant2.   

Abstract

BACKGROUND: Characterizing methamphetamine use in relation to age, HIV serostatus and seroconversion is pertinent given the increasingly older age of the population with HIV and the intertwined epidemics of methamphetamine use and HIV.
OBJECTIVES: Study aims were to investigate whether (i) methamphetamine use differs by age and HIV serostatus, and (ii) receiving an HIV diagnosis impacts methamphetamine use among younger and older persons with HIV.
METHODS: This study examined methamphetamine use characteristics among 217 individuals with a lifetime methamphetamine dependence diagnosis who completed an in-person study assessment.
RESULTS: Multivariable regressions revealed that HIV serostatus uniquely attenuates methamphetamine use, such that persons with HIV report a smaller cumulative quantity (β = -0.16, p = 0.01) and a fewer number of days (β = -0.18, p = 0.004) of methamphetamine use than persons without HIV. Among the HIV+ sample, all participants persisted in methamphetamine use after receiving an HIV diagnosis, with about 20% initiating use after seroconversion. Repeated measures analysis of variance indicated that density of methamphetamine use (i.e. grams per day used) was greater among the younger, relative to the older, HIV+ group (p = 0.02), and increased for both age groups following seroconversion (p < 0.001).
CONCLUSION: These analyses indicate that although HIV serostatus may attenuate methamphetamine use behaviors, many people with HIV initiate, or persist in, methamphetamine use after receiving an HIV diagnosis. These findings raise the question of whether tailoring of prevention and intervention strategies might reduce the impact of methamphetamine and HIV across the age continuum.

Entities:  

Keywords:  HIV risk behavior; HIV/AIDS; Methamphetamine; age; stimulant

Mesh:

Substances:

Year:  2016        PMID: 26837461      PMCID: PMC4842208          DOI: 10.3109/00952990.2015.1114625

Source DB:  PubMed          Journal:  Am J Drug Alcohol Abuse        ISSN: 0095-2990            Impact factor:   3.829


  43 in total

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2.  Age-associated predictors of medication adherence in HIV-positive adults: health beliefs, self-efficacy, and neurocognitive status.

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3.  Methamphetamine use and neuropsychiatric factors are associated with antiretroviral non-adherence.

Authors:  David J Moore; Kaitlin Blackstone; Steven Paul Woods; Ronald J Ellis; J Hampton Atkinson; Robert K Heaton; Igor Grant
Journal:  AIDS Care       Date:  2012-04-24

4.  Changes in stimulant drug use over time in the MACS: evidence for resilience against stimulant drug use among men who have sex with men.

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5.  Behaviors of recently HIV-infected men who have sex with men in the year postdiagnosis: effects of drug use and partner types.

Authors:  Pamina M Gorbach; Robert E Weiss; Robin Jeffries; Marjan Javanbakht; Lydia N Drumright; Eric S Daar; Susan J Little
Journal:  J Acquir Immune Defic Syndr       Date:  2011-02-01       Impact factor: 3.731

6.  Motivations associated with methamphetamine use among HIV+ men who have sex with men.

Authors:  Shirley J Semple; Thomas L Patterson; Igor Grant
Journal:  J Subst Abuse Treat       Date:  2002-04

7.  Sexual risk taking and club drug use across three age cohorts of HIV-positive gay and bisexual men in New York City.

Authors:  Molly K Pappas; Perry N Halkitis
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8.  Methamphetamine use, sexual activity, patient-provider communication, and medication adherence among HIV-infected patients in care, San Francisco 2004-2006.

Authors:  Carina Marquez; Samuel J Mitchell; C Bradley Hare; Malcolm John; Jeffrey D Klausner
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Authors:  Grant N Colfax; Susan P Buchbinder; Peter G A Cornelisse; Eric Vittinghoff; Kenneth Mayer; Connie Celum
Journal:  AIDS       Date:  2002-07-26       Impact factor: 4.177

10.  Methamphetamine enhances cell-associated feline immunodeficiency virus replication in astrocytes.

Authors:  Mikhail A Gavrilin; Lawrence E Mathes; Michael Podell
Journal:  J Neurovirol       Date:  2002-06       Impact factor: 2.643

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Review 1.  Effects of HIV and Methamphetamine on Brain and Behavior: Evidence from Human Studies and Animal Models.

Authors:  Virawudh Soontornniyomkij; James P Kesby; Erin E Morgan; Amanda Bischoff-Grethe; Arpi Minassian; Gregory G Brown; Igor Grant
Journal:  J Neuroimmune Pharmacol       Date:  2016-08-02       Impact factor: 4.147

2.  Frailty in Comorbid HIV and Lifetime Methamphetamine Use Disorder: Associations with Neurocognitive and Everyday Functioning.

Authors:  Emily W Paolillo; Rowan Saloner; Jessica L Montoya; Laura M Campbell; Elizabeth C Pasipanodya; Jennifer E Iudicello; Raeanne C Moore; Scott L Letendre; Dilip V Jeste; David J Moore
Journal:  AIDS Res Hum Retroviruses       Date:  2019-08-12       Impact factor: 2.205

3.  Sustained attention and vigilance deficits associated with HIV and a history of methamphetamine dependence.

Authors:  Nina Pocuca; Jared W Young; David A MacQueen; Scott Letendre; Robert K Heaton; Mark A Geyer; William Perry; Igor Grant; Arpi Minassian
Journal:  Drug Alcohol Depend       Date:  2020-08-22       Impact factor: 4.492

4.  Relationship of the balloon analog risk task to neurocognitive impairment differs by HIV serostatus and history of major depressive disorder.

Authors:  Rowan Saloner; Erin E Morgan; Mariam A Hussain; David J Moore; Robert K Heaton; Mariana Cherner; Igor Grant; Jennifer E Iudicello
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5.  Risk factors associated with infection of blood-borne virus among people who used methamphetamine.

Authors:  Yilin Cai; Zheng Dai; Sijin Wen; Ruchi Bhandari
Journal:  BMC Infect Dis       Date:  2020-10-09       Impact factor: 3.090

6.  Prior Methamphetamine Use Disorder History Does Not Impair Interoceptive Processing of Soft Touch in HIV Infection.

Authors:  Amanda Bischoff-Grethe; Ronald J Ellis; Susan F Tapert; Martin P Paulus; Igor Grant
Journal:  Viruses       Date:  2021-12-10       Impact factor: 5.048

  6 in total

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