Department of Geography and Regional Studies, University of Miami, 1300 Campo Sano Ave, Coral Gables, FL, 33124, United States.
Drug Alcohol Depend. 2019 Dec 1;205:107701. doi: 10.1016/j.drugalcdep.2019.107701. Epub 2019 Nov 1.
Few studies have used both spatial and non-spatial techniques to the study of alcohol outcomes. The objectives of this study were to identify clusters of traumatic unintentional injury hospitalizations by gender and blood alcohol concentration (BAC), and to determine trends and correlates by BAC levels.
State Trauma Registry data capturing unintentional injuries for those aged 10 to 24 hospitalized with negative and positive BAC levels (n = 6233) were analyzed from 2006 to 2015 for all Chicago block groups. Spatial clustering techniques were applied to detect spatial clusters and Generalized Estimating Equations to determine correlates and trends while controlling for correlation within block groups.
Regardless of BAC level, hospitalization rates decreased for all age groups between 2006 to 2010 and 2011 to 2015 from 94.41 to 67.69 per 100,000 population. The decline for males hospitalized with positive BAC was 1.4 times greater than the decline for their female counterparts. Risk factors included being male, black or of a minority race, having no private insurance and living in a disadvantaged neighborhood. Male hospitalization rates clustered among 33 census block groups located in three Chicago Community Areas. No clustering was detected for female patients. Motor vehicle accidents were the leading cause of hospitalization.
Hospitalizations are decreasing in Chicago, yet the risk is concentrated, with greater decreasing rates among males than females. Spatial approaches can be valuable tools in analyzing substance abuse outcomes, to identify high-risk areas and shifts in risk within a large geographic area.
很少有研究同时使用空间和非空间技术来研究酒精相关后果。本研究的目的是确定按性别和血液酒精浓度(BAC)划分的创伤性非故意伤害住院人群聚类,并确定按 BAC 水平划分的趋势和相关性。
利用 2006 年至 2015 年期间芝加哥所有街区组中年龄在 10 至 24 岁之间、BAC 水平为阴性和阳性的住院创伤患者的州创伤登记数据(n=6233),采用空间聚类技术来检测空间聚类,并应用广义估计方程(GEE)在控制街区组内相关性的同时确定相关性和趋势。
无论 BAC 水平如何,所有年龄段的住院率在 2006 年至 2010 年和 2011 年至 2015 年期间均从每 10 万人 94.41 例下降至 67.69 例。与女性相比,BAC 阳性男性的住院率下降了 1.4 倍。风险因素包括男性、黑人或少数族裔、无私人保险和居住在弱势社区。33 个位于芝加哥三个社区区的普查街区组中存在男性住院率聚类,但女性患者中未发现聚类。机动车事故是导致住院的主要原因。
尽管住院人数在芝加哥呈下降趋势,但风险仍集中在男性群体,且男性的下降速度快于女性。空间方法是分析药物滥用后果的有用工具,可以确定高风险区域以及在大地理区域内风险的变化。