Literature DB >> 23553345

Aggregate versus day level association between methamphetamine use and HIV medication non-adherence among gay and bisexual men.

Jeffrey T Parsons1, William J Kowalczyk, Michael Botsko, Julia Tomassilli, Sarit A Golub.   

Abstract

Methamphetamine use is associated with HIV infection, especially among gay and bisexual men. Methamphetamine use contributes to disease progression both directly, by increasing viral load and damaging the immune system, and indirectly, by decreasing medication adherence. Research examining the association of methamphetamine use and non-adherence has traditionally compared groups of users and nonusers on adherence, compared methamphetamine use between participants above or below some threshold level of adherence (e.g. >90 % dose adherence), or examined aggregate relationships. Using Timeline Follow-back procedures, the present study examined aggregate, threshold, and day-level associations of methamphetamine use with non-adherence in 210 HIV-positive gay and bisexual methamphetamine-using men. Methamphetamine use was not associated with adherence behavior at the aggregate-level, but methamphetamine use on a given day was associated with 2.3 times the odds of non-adherence on that day. Threshold results were equivocal. These data suggest that the methamphetamine and non-adherence relationship is complicated: non-adherence is more likely to occur on days in which methamphetamine is used, but participants reported more non-adherence days in which methamphetamine was not used. This seeming paradox generates questions about the selection of analytical techniques and has important implications for behavioral interventions targeting substance use and adherence among HIV-positive individuals.

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Year:  2013        PMID: 23553345      PMCID: PMC3643207          DOI: 10.1007/s10461-013-0463-7

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  80 in total

1.  Antiretroviral drug resistance and risk behavior among recently HIV-infected men who have sex with men.

Authors:  Pamina M Gorbach; Lydia N Drumright; Marjan Javanbakht; Sergei L Pond; Christopher H Woelk; Eric S Daar; Susan J Little
Journal:  J Acquir Immune Defic Syndr       Date:  2008-04-15       Impact factor: 3.731

2.  The temporal relationship between alcohol consumption and HIV-medication adherence: a multilevel model of direct and moderating effects.

Authors:  Jeffrey T Parsons; Elana Rosof; Brian Mustanski
Journal:  Health Psychol       Date:  2008-09       Impact factor: 4.267

3.  Effect of adherence to HAART on virologic outcome and on the selection of resistance-conferring mutations in NNRTI- or PI-treated patients.

Authors:  Franco Maggiolo; Monica Airoldi; Hendrik Daniël Kleinloog; Annapaola Callegaro; Veronica Ravasio; Claudio Arici; Enrico Bombana; Fredy Suter
Journal:  HIV Clin Trials       Date:  2007 Sep-Oct

4.  Adjusting alcohol quantity for mean consumption and intoxication threshold improves prediction of nonadherence in HIV patients and HIV-negative controls.

Authors:  R Scott Braithwaite; Joseph Conigliaro; Kathleen A McGinnis; Stephen A Maisto; Kendall Bryant; Amy C Justice
Journal:  Alcohol Clin Exp Res       Date:  2008-07-09       Impact factor: 3.455

5.  Affect regulation, stimulant use, and viral load among HIV-positive persons on anti-retroviral therapy.

Authors:  Adam W Carrico; Mallory O Johnson; Judith T Moskowitz; Torsten B Neilands; Stephen F Morin; Edwin D Charlebois; Wayne T Steward; Robert H Remien; F Lennie Wong; Mary Jane Rotheram-Borus; Marguerita A Lightfoot; Margaret A Chesney
Journal:  Psychosom Med       Date:  2007-10-17       Impact factor: 4.312

6.  Relationship between adherence level, type of the antiretroviral regimen, and plasma HIV type 1 RNA viral load: a prospective cohort study.

Authors:  M Martin; E Del Cacho; C Codina; M Tuset; E De Lazzari; J Mallolas; J-M Miró; J M Gatell; J Ribas
Journal:  AIDS Res Hum Retroviruses       Date:  2008-10       Impact factor: 2.205

7.  In the shadows of a prevention campaign: sexual risk behavior in the absence of crystal methamphetamine.

Authors:  Christian Grov; Jeffrey T Parsons; David S Bimbi
Journal:  AIDS Educ Prev       Date:  2008-02

8.  Experiences and sexual behaviors of HIV-infected MSM who acquired HIV in the context of crystal methamphetamine use.

Authors:  Matthew J Mimiaga; Andrew D Fair; Kenneth H Mayer; Karestan Koenen; Steven Gortmaker; Ashley M Tetu; Jeremy Hobson; Steven A Safren
Journal:  AIDS Educ Prev       Date:  2008-02

Review 9.  Evolution of HIV dementia with HIV infection.

Authors:  Avindra Nath; Nicoline Schiess; Arun Venkatesan; Jeffrey Rumbaugh; Ned Sacktor; Justin McArthur
Journal:  Int Rev Psychiatry       Date:  2008-02

10.  Medication adherence mediates the relationship between adherence self-efficacy and biological assessments of HIV health among those with alcohol use disorders.

Authors:  Jeffrey T Parsons; Elana Rosof; Brian Mustanski
Journal:  AIDS Behav       Date:  2007-05-15
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  26 in total

1.  Cigarette Smoking and Antiretroviral Therapy (ART) Adherence in a Sample of Heavy Drinking HIV-Infected Men Who Have Sex with Men (MSM).

Authors:  Patricia A Cioe; Kristi E Gamarel; David W Pantalone; Peter M Monti; Kenneth H Mayer; Christopher W Kahler
Journal:  AIDS Behav       Date:  2017-07

2.  Event-level relationship between methamphetamine use significantly associated with non-adherence to pharmacologic trial medications in event-level analyses.

Authors:  Keith A Hermanstyne; Glenn-Milo Santos; Eric Vittinghoff; Deirdre Santos; Grant Colfax; Phillip Coffin
Journal:  Drug Alcohol Depend       Date:  2014-08-05       Impact factor: 4.492

3.  Individualized texting for adherence building (iTAB) for methamphetamine users living with HIV: A pilot randomized clinical trial.

Authors:  David J Moore; Elizabeth C Pasipanodya; Anya Umlauf; Alexandra S Rooney; Ben Gouaux; Colin A Depp; J Hampton Atkinson; Jessica L Montoya
Journal:  Drug Alcohol Depend       Date:  2018-06-21       Impact factor: 4.492

4.  Validation of the HIV Risk Assessment of Sexual Partnerships (H-RASP): Comparison to a 2-Month Prospective Diary Study.

Authors:  Gregory Swann; Michael E Newcomb; Brian Mustanski
Journal:  Arch Sex Behav       Date:  2017-07-21

5.  An initial randomized controlled trial of behavioral activation for treatment of concurrent crystal methamphetamine dependence and sexual risk for HIV acquisition among men who have sex with men.

Authors:  Matthew J Mimiaga; David W Pantalone; Katie B Biello; Jackie M White Hughto; John Frank; Conall O'Cleirigh; Sari L Reisner; Arjee Restar; Kenneth H Mayer; Steven A Safren
Journal:  AIDS Care       Date:  2019-03-19

Review 6.  Substance Use and Adherence to Antiretroviral Therapy: What Is Known and What Is Unknown.

Authors:  M Eugenia Socias; M-J Milloy
Journal:  Curr Infect Dis Rep       Date:  2018-07-31       Impact factor: 3.725

7.  Feasibility of an Emotion Regulation Intervention to Improve Mental Health and Reduce HIV Transmission Risk Behaviors for HIV-Positive Gay and Bisexual Men with Sexual Compulsivity.

Authors:  Jeffrey T Parsons; H Jonathon Rendina; Raymond L Moody; Sitaji Gurung; Tyrel J Starks; John E Pachankis
Journal:  AIDS Behav       Date:  2017-06

8.  Methamphetamine inhibits HIV-1 replication in CD4+ T cells by modulating anti-HIV-1 miRNA expression.

Authors:  Chinmay K Mantri; Jyoti V Mantri; Jui Pandhare; Chandravanu Dash
Journal:  Am J Pathol       Date:  2013-10-26       Impact factor: 4.307

9.  Characteristics of intermittent smokers and their association with quit intentions in a sample of heavy-drinking HIV-infected men who have sex with men.

Authors:  Patricia A Cioe; Kristi E Gamarel; David W Pantalone; Peter M Monti; Kenneth H Mayer; Christopher W Kahler
Journal:  AIDS Care       Date:  2016-10-02

10.  The role of alcohol use in antiretroviral adherence among individuals living with HIV in South Africa: Event-level findings from a daily diary study.

Authors:  Katelyn M Sileo; Leickness C Simbayi; Amber Abrams; Allanise Cloete; Susan M Kiene
Journal:  Drug Alcohol Depend       Date:  2016-08-10       Impact factor: 4.492

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