A retrospective analysis of psychosocial risk factors modulating adolescent alcohol binge drinking.
A retrospective analysis of psychosocial risk factors modulating adolescent alcohol binge drinking.
复制标题
调节青少年酗酒的社会心理危险因素的回顾性分析。
DOI：
10.1159/000362410
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发表时间：
2014
影响因子：
3.9
通讯作者：
Zimmermann,UlrichS
中科院分区：
文献类型：
--
作者：
Groß,Cornelius;Neumann,Maike;Kalkbrenner,Manja;Mick,Inge;Lachnit,Andreas;Reichert,Jörg;Klotsche,Jens;Zimmermann,UlrichS
背景/目的：青少年酗酒引起的住院（BIHAs）在欧洲是一个日益严重的问题。我们调查了社会心理因素（例如，饮酒情况、饮酒场合和邻里失业）是否与特别危险的酒精或物质使用模式有关。方法：我们对2003-2008年德国德累斯顿市两家儿科医院的所有病例（n = 586，年龄范围：12-17岁）进行了系统的回顾性图表回顾。结果：绝大多数青少年双性恋与周末聚会上与同伴一起喝酒有关。与这种“典型”饮酒模式相比，青少年“非典型”饮酒（即独自饮酒，以应对或尽管第二天是学校/工作日）之前更经常已经使用酒精和非法物质，并且在BIHA之前更经常被诊断为物质使用障碍和其他精神障碍。患者所在街区的失业率与青少年bi - ha发生率呈正相关（rs= 0.61）。结论：青少年非典型饮酒可能表明酒精和物质使用障碍发展的风险增加。这些信息可迅速获取，并可提醒临床医生启动心理社会善后护理；他们的基础设施应该解决BIHA概率和社区失业率之间的紧密关系。
Background/Aims:Adolescent alcohol binge-induced hospital admissions (BIHAs) are an increasing problem in Europe. We investigated whether psychosocial factors (e.g., drinking situations, drinking occasions and neighborhood unemployment) are associated with particularly risky patterns of alcohol or substance use.Method:We performed a systematic retrospective chart review of all the respective cases in 2003-2008 (n = 586; age range: 12-17 years) from both pediatric hospitals in the city of Dresden, Germany.Results:The vast majority of adolescent BIHAs were associated with drinking together with peers at weekend parties. Compared to this ‘typical' drinking pattern, adolescents drinking ‘atypically' (i.e., drinking either alone, to cope or despite the fact that the next day was a school/work day) more often had already used alcohol and illegal substances before and were more often diagnosed with substance use disorders and other mental disorders prior to BIHA. The unemployment rate in the patients' neighborhood was positively related to the incidence proportion of adolescent BIHAs in the respective subdistricts (rs= 0.61).Conclusion:Adolescent atypical drinking may indicate an increased risk for the development of alcohol and substance use disorders. This information is quickly accessible and can alert clinicians to initiate psychosocial aftercare; their infrastructure should address the strong relation between BIHA probability and neighborhood unemployment rates.