Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84108, USA.
Department of Social Medicine, Population and Public Health, University of California Riverside School of Medicine, Riverside, CA, 92501, USA.
BMC Psychiatry. 2021 Jan 10;21(1):22. doi: 10.1186/s12888-020-02981-7.
The relationship between economic conditions and substance abuse is unclear, with few studies reporting drug-specific substance abuse. The present study examined the association between economic conditions and drug-specific substance abuse admissions.
State annual administrative data were drawn from the 1993-2016 Treatment Episode Data Set. The outcome variable was state-level aggregate number of treatment admissions for six categories of primary substance abuse (alcohol, marijuana/hashish, opiates, cocaine, stimulants, and other drugs). Additionally, we used a broader outcome for the number of treatment admissions, including primary, secondary, and tertiary diagnoses. We used a quasi-experimental approach -difference-in-difference model- to estimate the association between changes in economic conditions and substance abuse treatment admissions, adjusting for state characteristics. In addition, we performed two additional analyses to investigate (1) whether economic conditions have an asymmetric effect on the number of substance use admissions during economic downturns and upturns, and (2) the moderation effects of economic recessions (2001, 2008-09) on the relationship between economic conditions and substance use treatment.
The baseline model showed that unemployment rate was significantly associated with substance abuse treatment admissions. A unit increase in state unemployment rate was associated with a 9% increase in treatment admissions for opiates (β = 0.087, p < .001). Similar results were found for other substance abuse treatment admissions (cocaine (β = 0.081, p < .001), alcohol (β = 0.050, p < .001), marijuana (β = 0.036, p < .01), and other drugs (β = 0.095, p < .001). Unemployment rate was negatively associated with treatment admissions for stimulants (β = - 0.081, p < .001). The relationship between unemployment rate and opioids treatment admissions was not statistically significant in models that adjusted for state fixed effects and allowed for a state- unique time trend. We found that the association between state unemployment rates and annual substance abuse admissions has the same direction during economic downturns and upturns. During the economic recession, the negative association between unemployment rate and treatment admissions for stimulants was weakened.
These findings suggest that economic hardship may have increased substance abuse. Treatment for substance use of certain drugs and alcohol should remain a priority even during economic downturns.
经济状况与物质滥用之间的关系尚不清楚,很少有研究报告特定药物的物质滥用情况。本研究旨在检验经济状况与特定药物物质滥用入院之间的关系。
本研究从 1993 年至 2016 年的治疗期数据集中提取了州年度行政数据。因变量是州一级六种主要物质滥用(酒精、大麻/哈希什、鸦片类药物、可卡因、兴奋剂和其他药物)治疗入院的总数。此外,我们还使用了一个更广泛的因变量,即包括初级、次级和三级诊断在内的治疗入院总数。我们使用准实验方法——差异中的差异模型,来估计经济条件变化与物质滥用治疗入院之间的关系,同时调整了州的特征。此外,我们还进行了两项额外的分析,以调查(1)经济状况在经济衰退和经济好转时期对物质使用入院人数是否有不对称的影响,以及(2)经济衰退(2001 年、2008-09 年)对经济状况与物质使用治疗之间关系的调节作用。
基础模型显示,失业率与物质滥用治疗入院显著相关。州失业率每增加一个单位,阿片类药物治疗入院人数就会增加 9%(β=0.087,p<0.001)。其他物质滥用治疗入院也有类似的结果(可卡因(β=0.081,p<0.001)、酒精(β=0.050,p<0.001)、大麻(β=0.036,p<0.01)和其他药物(β=0.095,p<0.001)。失业率与兴奋剂治疗入院呈负相关(β=-0.081,p<0.001)。在调整州固定效应并允许州特有的时间趋势的模型中,失业率与阿片类药物治疗入院之间的关系没有统计学意义。我们发现,在经济衰退和经济好转时期,州失业率与年度物质滥用入院人数之间的关系方向相同。在经济衰退期间,失业率与兴奋剂治疗入院之间的负相关关系减弱。
这些发现表明,经济困难可能导致物质滥用增加。即使在经济衰退时期,也应优先考虑治疗某些药物和酒精引起的物质使用问题。