Duncan Dustin T, Rienti Michael, Kulldorff Martin, Aldstadt Jared, Castro Marcia C, Frounfelker Rochelle, Williams James H, Sorensen Glorian, Johnson Renee M, Hemenway David, Williams David R
a Department of Population Health , New York University School of Medicine , New York , NY , USA.
b College of Global Public Health , New York University , New York , NY , USA.
Am J Drug Alcohol Abuse. 2016 Jul;42(4):412-21. doi: 10.3109/00952990.2016.1151522. Epub 2016 Apr 20.
Understanding geographic variation in youth drug use is important for both identifying etiologic factors and planning prevention interventions. However, little research has examined spatial clustering of drug use among youths by using rigorous statistical methods.
The purpose of this study was to examine spatial clustering of youth use of tobacco, alcohol, and marijuana.
Responses on tobacco, alcohol, and marijuana use from 1,292 high school students ages 13-19 who provided complete residential addresses were drawn from the 2008 Boston Youth Survey Geospatial Dataset. Response options on past month use included "none," "1-2," "3-9," and "10 or more." The response rate for each substance was approximately 94%. Spatial clustering of youth drug use was assessed using the spatial Bernoulli model in the SatScan™ software package.
Approximately 12%, 36%, and 18% of youth reported any past-month use of tobacco, alcohol, and/or marijuana, respectively. Two clusters of elevated past tobacco use among Boston youths were generated, one of which was statistically significant. This cluster, located in the South Boston neighborhood, had a relative risk of 5.37 with a p-value of 0.00014. There was no significant localized spatial clustering in youth past alcohol or marijuana use in either the unadjusted or adjusted models.
Significant spatial clustering in youth tobacco use was found. Finding a significant cluster in the South Boston neighborhood provides reason for further investigation into neighborhood characteristics that may shape adolescents' substance use behaviors. This type of research can be used to evaluate the underlying reasons behind spatial clustering of youth substance and to target local drug abuse prevention interventions and use.
了解青少年药物使用的地理差异对于识别病因因素和规划预防干预措施都很重要。然而，很少有研究使用严格的统计方法来研究青少年药物使用的空间聚集情况。
本研究的目的是检验青少年烟草、酒精和大麻使用的空间聚集情况。
从2008年波士顿青少年调查地理空间数据集中抽取了1292名提供了完整居住地址的13 - 19岁高中生关于烟草、酒精和大麻使用的回答。过去一个月使用情况的回答选项包括“无”、“1 - 2次”、“3 - 9次”和“10次或更多”。每种物质的回答率约为94%。使用SatScan™软件包中的空间伯努利模型评估青少年药物使用的空间聚集情况。
分别约有12%、36%和18%的青少年报告在过去一个月使用过烟草、酒精和/或大麻。在波士顿青少年中生成了两个过去烟草使用量升高的聚集区，其中一个具有统计学意义。这个聚集区位于南波士顿社区，相对风险为5.37，p值为0.00014。在未调整和调整模型中，青少年过去酒精或大麻使用情况均未发现显著的局部空间聚集。
发现青少年烟草使用存在显著的空间聚集。在南波士顿社区发现一个显著的聚集区为进一步调查可能影响青少年物质使用行为的社区特征提供了理由。这类研究可用于评估青少年物质使用空间聚集背后的潜在原因，并针对当地药物滥用预防干预措施和使用情况。
