Curry Aaron D, Latkin Carl A
Division of Social and Behavioral Sciences, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA.
J Urban Health. 2003 Sep;80(3):482-93. doi: 10.1093/jurban/jtg049.
In a sample of 761 heroin injectors in Baltimore, Maryland, correlates of arrest for drug-related and non-drug-related criminal offenses, by gender, were examined. This investigation examined gender differences in involvement in the drug economy and correlates of arrest. Correlates included roles in the street drug economy, social network attributes, and economic and demographic variables. Gender differences were found. Selling drugs was strongly associated with drug-related arrests for males. Steering (i.e., publicizing drug brands) was highly associated with drug-related arrests for females. Level of heroin addiction was associated with drug-related arrests for males, but not for females. The associations of social network variables with arrests also differed by gender. For females but not males, a higher number of females in one's network was associated with a lower frequency of arrests. For males, having at least one heroin injector in the personal network was associated with a decreased frequency of arrest, while for females the direction of the association was reversed. These findings suggest the importance of modeling drug behaviors by gender.
在马里兰州巴尔的摩市的761名海洛因注射者样本中,研究了按性别划分的与毒品相关和非毒品相关刑事犯罪被捕情况的相关因素。这项调查研究了参与毒品经济方面的性别差异以及被捕的相关因素。相关因素包括在街头毒品经济中的角色、社会网络属性以及经济和人口统计学变量。研究发现了性别差异。贩毒与男性毒品相关被捕密切相关。引导(即宣传毒品品牌)与女性毒品相关被捕高度相关。海洛因成瘾程度与男性毒品相关被捕有关,但与女性无关。社会网络变量与被捕之间的关联也因性别而异。对于女性而非男性,社交网络中女性数量较多与被捕频率较低有关。对于男性,个人社交网络中有至少一名海洛因注射者与被捕频率降低有关,而对于女性,这种关联方向相反。这些发现表明按性别对毒品行为进行建模的重要性。