Philbin Morgan M, Greene Emily R, Martins Silvia S, LaBossier Natalie J, Mauro Pia M
Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York.
Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Am J Prev Med. 2020 Nov;59(5):686-696. doi: 10.1016/j.amepre.2020.05.025. Epub 2020 Sep 24.
INTRODUCTION: Major knowledge gaps regarding medical and nonmedical prescription stimulant use and illegal stimulant use (i.e., cocaine/crack/methamphetamine) by sexual identity and gender have implications for individuals' health and well-being. This study improves stimulant use measurement by differentiating the type of stimulant use and focusing on lesbian, gay, and bisexual subpopulations. METHODS: Data were pooled for adults in the 2015-2017 National Survey on Drug Use and Health (n=126,463; analyzed in 2019). Gender-stratified logistic regression models examined associations between sexual identity and past-year illegal stimulant use. Gender-stratified multinomial logistic regression models estimated odds of (1) medical use only versus no past-year prescription stimulant use, (2) any nonmedical stimulant use versus no past-year use, and (3) any nonmedical stimulant use versus medical use only. RESULTS: Illegal stimulant use varied by sexual identity (men: gay, 9.2%; bisexual, 7.5%; heterosexual, 3.2%; women: gay/lesbian, 3.2%; bisexual, 7.8%; heterosexual, 1.5%), as did nonmedical prescription stimulant use. Relative to same-gender heterosexuals, gay (AOR=2.61, 95% CI=2.00, 3.40) and bisexual (AOR=1.70, 95% CI=1.24, 2.33) men had higher odds of past-year illegal stimulant use, as did gay/lesbian (AOR=1.63, 95% CI=1.16, 2.28) and bisexual (AOR=2.70, 95% CI=2.23, 3.26) women. Sexual minorities reported higher odds of nonmedical prescription stimulant use than heterosexuals. Any nonmedical prescription opioid use was reported by 26.4% of people who reported nonmedical stimulant use and 27.0% of people who reported illegal stimulant use. CONCLUSIONS: Lesbian, gay, and bisexual individuals had a higher prevalence of stimulant use than their heterosexual counterparts. This has important implications for health disparities, especially given the high levels of polysubstance use. Taking a multilevel approach is crucial to reduce stimulant-related harms for lesbian, gay, and bisexual individuals.
引言:关于按性取向和性别划分的医疗及非医疗处方兴奋剂使用以及非法兴奋剂(即可卡因/快克/甲基苯丙胺)使用情况,存在重大知识空白,这对个人的健康和福祉具有影响。本研究通过区分兴奋剂使用类型并聚焦于女同性恋、男同性恋和双性恋亚群体,改进了兴奋剂使用的测量方法。 方法:汇总了2015 - 2017年全国药物使用和健康调查中成年人的数据(n = 126,463;于2019年进行分析)。按性别分层的逻辑回归模型检验了性取向与过去一年非法兴奋剂使用之间的关联。按性别分层的多项逻辑回归模型估计了以下几种情况的比值比:(1)仅医疗用途与过去一年无处方兴奋剂使用;(2)任何非医疗兴奋剂使用与过去一年未使用;(3)任何非医疗兴奋剂使用与仅医疗用途。 结果:非法兴奋剂使用情况因性取向而异(男性:男同性恋者为9.2%;双性恋者为7.5%;异性恋者为3.2%;女性:女同性恋者/男同性恋者为3.2%;双性恋者为7.8%;异性恋者为1.5%),非医疗处方兴奋剂使用情况也是如此。相对于同性别的异性恋者,男同性恋者(调整优势比[AOR]=2.61,95%置信区间[CI]=2.00, 3.40)和双性恋男性(AOR = 1.70,95% CI = 1.24, 2.33)过去一年非法兴奋剂使用的几率更高,女同性恋者/男同性恋者(AOR = 1.63,95% CI = 1.16, 2.28)和双性恋女性(AOR = 2.70,95% CI = 2.23, 3.26)也是如此。性少数群体报告的非医疗处方兴奋剂使用几率高于异性恋者。报告非医疗兴奋剂使用的人群中有26.4%以及报告非法兴奋剂使用的人群中有27.0%报告了任何非医疗处方阿片类药物使用。 结论:女同性恋、男同性恋和双性恋个体的兴奋剂使用流行率高于其异性恋同龄人。这对健康差异具有重要影响,尤其是考虑到多物质使用的高水平情况。采取多层次方法对于减少女同性恋、男同性恋和双性恋个体与兴奋剂相关的危害至关重要。
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