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Relationship between a network’s indicators and basic factors with high-risk behavior of injection among injecting drug users (IDU) via the multiple membership multilevel model

机译:多指标多层次模型在注射毒品使用者(IDU)中网络的指标和基本因素与注射的高风险行为之间的关系

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Background Among various methods and types of drug abuse, injection receives a great deal of importance because of its related dangerous behavior and health consequences. It seemed that some of the network’s indicators affect dangerous behavior of injection. Objective To determine the relationship between a network’s indicators and basic factors with high-risk behavior of injection among injecting drug users (IDU) via the multiple memberships multilevel model. Methods In this cross-sectional study, the data related to 147 IDUs in Kerman province, who were interviewed from October 2013 through March 2014, were used, and these addicts were chosen for interview from specific resorts used for common injection. In this study, for analyzing data, multiple membership multilevel model and MLwiN 2.02 software were used. Results In this study, the mean age of people, who were mostly men, was 37.2±9.02. Based on the result, it becomes obvious that variables of in-degree with OR=1.49 (p=0.006) and the whole number of people related to the person with OR=1.18 (p=0.003) influences the high-risk behavior of injection. Also, none of the demographic variables influenced the high-risk behavior of injection. Conclusion Totally based on the results of this study, one can find a suitable method in the social network of IDUs in order to create essential strategies, reducing the risk throughout the country. In addition, in minimum time with fewer expenses, aggravation of dangerous behavior especially high-risk behavior of injection can be prevented.
机译:背景技术在各种滥用药物的方法和类型中,注射针剂因其相关的危险行为和健康后果而受到高度重视。该网络的某些指标似乎会影响注射的危险行为。目的通过多成员多层次模型,确定注射毒品使用者(IDU)的网络指标与具有高注射风险行为的基本因素之间的关系。方法在本横断面研究中,使用了2013年10月至2014年3月在克尔曼省接受采访的147名注射吸毒者的相关数据,并从特定注射常用场所中选择了这些成瘾者进行访谈。在这项研究中,为了分析数据,使用了多成员多层次模型和MLwiN 2.02软件。结果在这项研究中,大多数人的平均年龄为37.2±9.02。根据该结果,很明显,OR值为1.49(p = 0.006)的度数变量以及与OR = 1.18的人相关的人员总数(p = 0.003)会影响注射的高风险行为。同样,没有一个人口统计学变量影响注射的高风险行为。结论完全基于这项研究的结果,人们可以在IDU的社交网络中找到一种合适的方法,以制定基本的策略,从而降低全国的风险。另外,可以在最短的时间内以较少的花费来防止危险行为的加剧,特别是注射的高风险行为。

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