Lee Frank, Jain Jennifer Payaal, Duthely Lunthita M, Ikeda Janet, Santos Glenn-Milo
Center on Substance Use and Health, San Francisco Department of Public Health, San Francisco, CA, United States.
Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California San Francisco, San Francisco, CA, United States.
JMIR Form Res. 2023 Aug 17;7:e45717. doi: 10.2196/45717.
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.
We identified the correlates of stimulant use among people who use alcohol or stimulants in the United States recruited using MTurk.
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.
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).
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.
在美国,使用兴奋剂是一个重大的公共卫生问题,它导致男男性行为者(MSM)出现发病和死亡情况。为减少与使用兴奋剂相关的危害,有必要确定与使用兴奋剂相关的因素,以便为干预措施提供依据。此外,需要利用像亚马逊土耳其机器人(MTurk)这样的大型众包平台,让美国各地更多使用毒品的人参与进来。
我们确定了通过MTurk招募的美国酒精或兴奋剂使用者中兴奋剂使用的相关因素。
年龄≥18岁且报告有酒精或兴奋剂(即可卡因、快克可卡因和甲基苯丙胺)使用情况的美国参与者被视为合格,并通过网络平台MTurk招募。参与者完成了一项基线调查,该调查评估了社会人口统计学、心理社会(即抑郁、情感、自尊和压力)因素、物质使用情况和性行为。使用STATA(版本17;StataCorp)收集和分析数据。按MSM状态分层,在STATA中建立二元和多变量逻辑回归模型,以研究兴奋剂使用的相关因素。多变量模型控制了年龄、种族、医疗保险和恋爱状况。
在272名参与者中,201名(73.9%)为男性,134名(49.2%)是MSM,52名(19.1%)来自少数族裔社区,158名(58%)处于恋爱关系中。平均年龄为36.10(标准差10.3)岁。共有40名(14.7%)参与者报告在过去6个月内使用过兴奋剂。与兴奋剂使用显著相关的因素包括身为MSM(调整后的优势比[aOR]为4.61,95%置信区间为1.9