Witbrodt Jane, Kaskutas Lee Ann
Alcohol Research Group, Berkeley, California 94709, USA.
Am J Drug Alcohol Abuse. 2005;31(4):685-707. doi: 10.1081/ada-68486.
Previous studies that have examined the effects of specific aspects of 12-step participation and social network composition on abstinence have focused mostly on alcohol-related outcomes and have screened out drug dependent persons. This article explores whether these predictors differentially affect abstinence based on DSM-III-R substance dependence disorder (alcohol dependence, drug dependence, and both alcohol and drug dependence). A heterogeneous community sample of treatment seekers (N=302) randomized to day treatment programs were followed at 6 and 12 months. Bivariate and multivariate regression models were used to test whether engagement in 12-step practices and social network influences to drink or use drugs predicted total abstinence from alcohol and drugs differentially by dependence disorder. Chi-square automatic interaction detector (CHAID) segmentation analyses were then conducted to identify the specific 12-step activities and social network thresholds that best distinguished higher rates of abstinence in each dependence category. Results showed that the number of 12-step meetings attended and number of prescribed 12-step activities engaged in similarly predicted abstinence for alcoholics, drug addicts, and those dependent on both alcohol and drugs. However, specific activities were associated with abstinence differentially by dependence disorder. While many activities differentiated abstinence for drug addicts and those dependent on both alcohol and drugs, for alcoholics only two Alcoholics Anonymous (AA) activities distinguished abstinence (having a sponsor and doing service). Key predictors of abstinence (CHAID) varied by follow-up and dependence disorder, except for doing service in AA and/or Narcotics Anonymous, which was the only specific 12-step activity that was a best predictor of abstinence in all three categories one year following treatment. Thus, "giving back" to one's peer community through service work, an important 12-step belief, seems to be universally valuable later in recovery. As for social network influences, a multivariate regression model showed that having a higher proportion of abstinent individuals in the network was associated with abstinence for alcoholics at 6 months only and for drug dependent persons at 12 months only. CHAID models supported these results and provided specific thresholds for 12-step measures (e.g., >20 meetings for alcoholics, 2 or more nondrinkers in the social network, 3 or more persons supporting reduction for those dependent on both alcohol and drugs, and having 2 or more nondrinkers for those dependent on drugs only). These results support the value of treatment providers prioritizing certain 12-step-related practices and social network changes based on their client dependence profiles. Early on, those with an alcohol diagnosis need to make a commitment to meetings and obtain a sponsor; also, they need to place themselves in a network that encourages sobriety. Early on, those who are drug-dependent-only especially need to become connected with 12-step programs to the extent that they consider themselves a member, and, later, saturate themselves in a highly supportive and predominantly nondrinking environment. Alcohol and drug dependent clients need more intense ongoing 12-step involvement (sponsor and meetings) as well as having nondrinking individuals and people supportive of abstinence in their network. For all clients, doing service is especially important at the longer 12-month posttreatment timeframe.
以往研究探讨了12步参与的特定方面以及社交网络构成对戒酒的影响,这些研究大多聚焦于与酒精相关的结果,并且排除了药物依赖者。本文探讨这些预测因素是否会根据《精神疾病诊断与统计手册第三版修订版》(DSM-III-R)中的物质依赖障碍(酒精依赖、药物依赖以及酒精和药物双重依赖)对戒酒产生不同影响。对302名随机分配到日间治疗项目的治疗寻求者组成的异质性社区样本进行了为期6个月和12个月的随访。使用双变量和多变量回归模型来检验参与12步实践以及社交网络对饮酒或使用药物的影响是否会根据依赖障碍对完全戒酒产生不同预测。随后进行了卡方自动交互检测器(CHAID)分割分析,以确定在每个依赖类别中最能区分较高戒酒率的具体12步活动和社交网络阈值。结果显示,参加12步会议的次数以及参与规定的12步活动的次数,对酗酒者、吸毒者以及酒精和药物双重依赖者的戒酒情况具有相似的预测作用。然而,具体活动因依赖障碍不同而与戒酒存在差异关联。虽然许多活动区分了吸毒者和酒精与药物双重依赖者的戒酒情况,但对于酗酒者而言,只有两项匿名戒酒会(AA)活动能区分戒酒情况(有担保人以及参与服务)。除了在匿名戒酒会和/或匿名戒毒会中参与服务(这是治疗后一年中在所有三个类别中都是戒酒最佳预测因素的唯一特定12步活动)之外,戒酒的关键预测因素(CHAID)因随访时间和依赖障碍不同而有所变化。因此,通过服务工作“回馈”同伴群体,这一重要的12步信念,在康复后期似乎具有普遍价值。至于社交网络的影响,多变量回归模型显示,社交网络中戒酒者比例较高仅在6个月时与酗酒者的戒酒相关,仅在12个月时与药物依赖者的戒酒相关。CHAID模型支持了这些结果,并为12步措施提供了具体阈值(例如,酗酒者参加超过20次会议,社交网络中有2个或更多不饮酒者,酒精和药物双重依赖者有3个或更多支持减少使用的人,仅药物依赖者有2个或更多不饮酒者)。这些结果支持了治疗提供者根据客户的依赖情况优先考虑某些与12步相关的实践和社交网络改变的价值。早期,酒精诊断患者需要承诺参加会议并找到担保人;此外,他们需要置身于鼓励戒酒的社交网络中。早期,仅药物依赖者尤其需要与12步项目建立联系,达到他们将自己视为成员的程度,随后,沉浸在一个高度支持且主要是不饮酒的环境中。酒精和药物双重依赖的客户需要更深入持续地参与12步项目(有担保人并参加会议),以及在他们的社交网络中有不饮酒的人和支持戒酒的人。对于所有客户而言,在治疗后较长的12个月时间内参与服务尤为重要。