Institute for Health, Health Care Policy and Aging Research, Rutgers, The State University of New Jersey, 112 Paterson Street, New Brunswick, NJ 08901, USA.
Yale University, 389 Whitney Avenue, New Haven, CT 06511, USA.
Drug Alcohol Depend. 2022 Nov 1;240:109620. doi: 10.1016/j.drugalcdep.2022.109620. Epub 2022 Sep 6.
Population-level statistics on pandemic-related change in substance use can obscure patterns of use (e.g., polysubstance use) within individuals. This longitudinal study used a person-centered approach to identify subgroups with respect to patterns of substance use prior to and during the COVID-19 pandemic, and to examine profile correlates (e.g., socio-demographic characteristics), which can inform tailored intervention.
The two youngest age cohorts of the Pittsburgh Girls Study (n = 938; 59.1 % Black, 40.9 % White; mean age= 26.2 (SD= 0.8)), a longitudinal community sample, provided data on past year frequency of cigarette/e-cigarette use, binge drinking (>4 drinks per occasion), and cannabis use prior to and during the pandemic, and perceived change in use. Latent profile analysis identified subgroups. Profile correlates were examined (e.g., sociodemographics, COVID-19 infection status and reported exposure, COVID-19 impacts on psychological health and finances).
Seven profiles were identified: "Low use", "Occasional binge drinking", "Cannabis use", "Cigarette/e-cigarette & binge drinking", "Occasional binge drinking & cannabis", "Binge drinking & cannabis", and "Polysubstance use". Black women were overrepresented in "Low use", which was associated with fewer pandemic effects on health. Profiles associated with more frequent binge drinking were more likely to report COVID-19 infection, whereas "Cannabis use" had lower reported infection prevalence. "Polysubstance use" had more COVID-related depression and income loss, on average, than "Low use".
Distinct subgroups representing single substance use, co-use, and polysubstance use prior to and during the pandemic were identified. The profiles show differential response to COVID-19 impacts, ranging from relative hardiness to specific needs to guide personalized treatment.
人群层面上与大流行相关的物质使用变化的统计数据可能会掩盖个体内部的使用模式(例如,多种物质混合使用)。本纵向研究采用以个体为中心的方法,根据大流行前后的物质使用模式识别亚组,并研究特征相关因素(例如,社会人口统计学特征),这可以为有针对性的干预措施提供信息。
匹兹堡女孩研究(Pittsburgh Girls Study)的两个最年轻年龄队列(n=938;59.1%为黑人,40.9%为白人;平均年龄=26.2(SD=0.8))是一个纵向社区样本,提供了大流行前后过去一年吸烟/电子烟使用频率、 binge drinking(>4 次/d)和大麻使用情况以及使用变化的感知数据。潜在剖面分析确定了亚组。研究了特征相关因素(例如,社会人口统计学特征、COVID-19 感染状况和报告的暴露、COVID-19 对心理健康和财务的影响)。
确定了七个亚组:“低用量”、“偶尔 binge drinking”、“大麻使用”、“香烟/电子烟和 binge drinking”、“偶尔 binge drinking 和大麻”、“binge drinking 和大麻”和“多种物质混合使用”。黑人女性在“低用量”中所占比例过高,这与健康方面受大流行影响较小有关。与更频繁 binge drinking 相关的亚组更有可能报告 COVID-19 感染,而“大麻使用”的报告感染率较低。“多种物质混合使用”的 COVID 相关抑郁和收入损失平均而言比“低用量”更高。
在大流行前后确定了代表单一物质使用、共使用和多种物质混合使用的不同亚组。这些亚组表现出对 COVID-19 影响的不同反应,从相对坚韧到特定需求,以指导个性化治疗。