成瘾者和成瘾者的社交网络

IF 0.4 Q3 SOCIAL SCIENCES, INTERDISCIPLINARY Revista Portuguesa de Investigacao Comportamental e Social Pub Date : 2017-02-28 DOI:10.7342/ismt.rpics.2017.3.1.44
A. Caetano, S. Guadalupe
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引用次数: 0

摘要

目的:社交网络在有附加行为的人的生活质量中起着核心作用,在这些行为的维持、补偿或康复方面都起着决定性作用。本研究旨在描述具有社会排斥或被排斥风险的附加行为和依赖者的社会个人网络特征。方法:参与本研究的精神活性物质吸毒者30例,年龄24 ~ 65岁(M±DP = 43,03±10,10),男性居多(80,0%),无经济来源(46.7%)或有社会政策支持(53.3%)。主要使用物质为海洛因(63.3%)。我们用社会个人网络分析工具评估了他们网络的结构、功能和背景关系维度。结果:被试的社会网络由7个要素组成,平均以家庭成员为主;它们是分散的,主要由主要网络的成员组成,尽管次要网络约占成员的四分之一。互惠和感知社会支持水平高,如情感和信息支持。大多数人报告说,他们的社交网络中有吸毒的成员(77.0%),这种关系占整个社交网络规模的20.0%以上。我们根据物质和住房剥夺对网络进行了比较分析,尽管网络的概况表明不同的支持策略,但没有出现显着差异(p >0,05)。结论:本研究证实了社会网络评估在成瘾行为和依赖人群中的相关性。社会干预规划应结合与支持减少药物滥用和相关风险以及促进社会福利和公民身份有关的网络特征。
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Rede Social de Pessoas com Consumos Aditivos e Dependências
Aims: Social networks play a central role in the quality of the life of persons with additive behaviors, being determinant both in the maintenance, compensation or rehabilitation of these behaviors. This study aims to characterize the social personal networks of people with additive behavior and dependencies at risk of social exclusion or excluded.Method: Participated in this study 30 individuals with psychoactive substances use, aged between 24 and 65 years (M ± DP = 43,03 ± 10,10), most of them male (80,0%), with no source of income (46.7%) or supported by social policy measures (53.3%). The main substance of use is heroin (63.3%). We assessed the structural, functional and contextual-relational dimensions of their networks with the Social Personal Networks Analysis Tool.Results: The social networks of the participants are composed by 7 elements, in average, predominating the family members; they are fragmented, consisting essentially by members of the primary networks, although, the secondary networks represent about ¼ of the members. Reciprocity and the level of perceived social support are high, such as emotional and informational support. Most individuals report having members in the social network with drug abuse (77,0%), relationships that occupy more than 20,0% of the network size. We analyzed comparatively the networks according to material and shelter deprivation, and no significant differences emerged (p > 0,05), although the networks’ profiles suggest different strategies of support.Conclusions: The study confirms the relevance of social networks assessment in the population with addictive behaviors and dependencies. Social intervention planning should integrate the network characteristics that are relevant to support the reduction of substance abuse and associated risks, as well as the promotion of social well-being and citizenship.
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