Stimulant Use Associated With Psychosocial Factors, HIV Risk, and Concurrent Hazardous Alcohol Use Among US Adults: Exploratory Cross-Sectional Questionnaire Study.

Frank Lee, Jennifer Payaal Jain, Lunthita M Duthely, Janet Ikeda, Glenn-Milo Santos
Author Information
  1. Frank Lee: Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA, United States. ORCID
  2. Jennifer Payaal Jain: Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA, United States. ORCID
  3. Lunthita M Duthely: Obstetrics, Gynecology & Reproductive Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States. ORCID
  4. Janet Ikeda: Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA, United States. ORCID
  5. Glenn-Milo Santos: Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA, United States. ORCID

Abstract

BACKGROUND: Stimulant use is a major public health problem that contributes to morbidity and mortality among men who have sex with men (MSM) in the United States. To reduce the harms associated with stimulant use, there is a need to identify the factors associated with stimulant use to inform interventions. Additionally, there is a need to use large crowdsourcing platforms like Amazon Mechanical Turk (MTurk) to engage more individuals who use substances across the United States.
OBJECTIVE: We identified the correlates of stimulant use among people who use alcohol or stimulants in the United States recruited using MTurk.
METHODS: Participants who were aged ���18 years in the United States and reported alcohol or stimulant (ie, cocaine, crack cocaine, and methamphetamine) use were deemed eligible and recruited via the web platform MTurk. Participants completed a baseline survey, which assessed sociodemographics, psychosocial (ie, depression, affect, self-esteem, and stress) factors, substance use, and sexual behaviors. Data were collected and analyzed with STATA (version 17; StataCorp). Stratifying by MSM status, bivariate and multivariable logistic regression models were built in STATA to examine the correlates of stimulant use. Multivariable models controlled for age, race, health insurance, and relationship status.
RESULTS: Of 272 participants, 201 (73.9%) identified as male, 134 (49.2%) were MSM, 52 (19.1%) were from racial and ethnic minoritized communities, and 158 (58%) were in a relationship. The mean age was 36.10 (SD 10.3) years. A total of 40 (14.7%) participants reported stimulant use in the past 6 months. Factors significantly associated with stimulant use were being MSM (adjusted odds ratio [aOR]���4.61, 95% CI 1.97-10.81), a higher alcohol Use Disorders Identification Test-Concise score (aOR 1.24, 95% CI 1.08-1.42), more intense cravings for alcohol in the past 24 hours (aOR 1.03, 95% CI 1.01-1.04), a higher depression score (aOR 1.06, 95% CI 1.01-1.12), a greater number of male partners in the last 6 months (aOR 1.32, 95% CI 1.08-1.61), a greater number of female partners in the last 6 months (aOR 1.42, 95% CI 1.04-1.92), and being diagnosed with a sexually transmitted infection (eg, syphilis, gonorrhea, chlamydia, herpes simplex virus, human papillomavirus, and other) in the last 6 months (aOR 14.61, 95% CI 3.45-61.87). Additionally, there was a significant additive interaction between MSM status and negative affect, such that the impact of negative affect on stimulant use was significantly greater among MSM compared with non-MSM (relative excess risk due to interaction 0.085, 95% CI 0.037-0.13).
CONCLUSIONS: Interventions that address stimulant use should use evidence-based approaches that reduce negative affect, depression, and cravings for alcohol. Additionally, interventions should be customized for MSM populations.

Keywords

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Grants

  1. P30 MH116867/NIMH NIH HHS
  2. P30 MH133399/NIMH NIH HHS
  3. P30 AI073961/NIAID NIH HHS
  4. K24 AA029958/NIAAA NIH HHS
  5. R34 DA057150/NIDA NIH HHS
  6. R25 DA028567/NIDA NIH HHS
  7. K01 DA056306/NIDA NIH HHS

Word Cloud

Created with Highcharts 10.0.0use1stimulantMSM95%CIaORalcoholaffectmenUnitedStatesdepression6monthshealthamongassociatedAdditionallyMTurkstatus61UsegreaterlastnegativeStimulantpublicsexreduceneedfactorsinterventionsAmazonMechanicalTurkidentifiedcorrelatesrecruitedParticipantsyearsreportediecocainepsychosocialSTATAmodelsagerelationshipparticipantsmale10314pastFactorssignificantlyhigherAlcoholscore2408-142cravings01-1numberpartnersinteraction0HIVBACKGROUND:majorproblemcontributesmorbiditymortalityharmsidentifyinformlargecrowdsourcingplatformslikeengageindividualssubstancesacrossOBJECTIVE:peoplestimulantsusingMETHODS:aged���18crackmethamphetaminedeemedeligibleviawebplatformcompletedbaselinesurveyassessedsociodemographicsself-esteemstresssubstancesexualbehaviorsDatacollectedanalyzedversion17StataCorpStratifyingbivariatemultivariablelogisticregressionbuiltexamineMultivariablecontrolledraceinsuranceRESULTS:272201739%134492%52191%racialethnicminoritizedcommunities15858%mean36SDtotal407%adjustedoddsratio[aOR]���497-1081DisordersIdentificationTest-Conciseintensehours0304061232female04-192diagnosedsexuallytransmittedinfectionegsyphilisgonorrheachlamydiaherpessimplexvirushumanpapillomavirus45-6187significantadditiveimpactcomparednon-MSMrelativeexcessriskdue085037-013CONCLUSIONS:Interventionsaddressevidence-basedapproachescustomizedpopulationsAssociatedPsychosocialRiskConcurrentHazardousAmongUSAdults:ExploratoryCross-SectionalQuestionnaireStudyaddictioncravinggenderminority

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