首页> 外文期刊>Journal of substance use >Using the multi-theory model of health behavior change to identify correlates of change in substance use behavior in a mental health clinic-based sample
【24h】

Using the multi-theory model of health behavior change to identify correlates of change in substance use behavior in a mental health clinic-based sample

机译:使用健康行为的多理论模型改变,识别基于心理健康诊所的样本中物质使用行为的变化相关性

获取原文
获取原文并翻译 | 示例
           

摘要

Background: Substance use is a chronic disorder that requires lifelong multimodal management. This study utilized the Multi-Theory Model (MTM) of Health Behavior Change to identify correlates of change in substance use behavior. Methods: Data were collected, using a cross-sectional design, from 93 participants who completed treatment at a substance use treatment facility. Participants completed a 40-item, newly developed, self-administered questionnaire, grounded on relevant substance use, treatment, and health-related behavior. Cronbach's alpha of all subscales were over 0.70 and deemed acceptable. Results: The majority of the participants were Caucasian (72.7%). Males comprised 60% of the sample. A stepwise multiple regression predicting initiation and sustenance of intentional substance use cessation showed a total of 34.2% of the variance. The initiation for the intentional substance use cessation was accounted for by participatory dialogue, advantages minus disadvantages (p = .001) and behavioral confidence (p = < 0.001). The sustenance for intentional substance use cessation was accounted for a total of 33% of the variance by practice for change (p = .004) and changes in the social environment (p = < 0.003). Conclusions: The MTM could be a useful model for predicting substance use behavior change. Clinicians and patients can gain insight and discuss behavioral changes necessary for recovery.
机译:背景:物质使用是一种慢性疾病,需要终身多模式管理。本研究利用健康行为变化的多理论模型(MTM)来确定物质使用行为变化的相关因素。方法:采用横断面设计,从93名在药物使用治疗机构完成治疗的参与者中收集数据。参与者根据相关物质使用、治疗和健康相关行为,完成了一份40个项目的新开发的自填问卷。所有分量表的克朗巴赫阿尔法均超过0.70,被认为是可以接受的。结果:大多数参与者是白种人(72.7%)。男性占样本的60%。一项逐步多元回归预测有意停止使用药物的开始和维持,显示总方差为34.2%。有意停止药物使用的起始因素包括参与性对话、优缺点(p=.001)和行为信心(p=<0.001)。通过改变实践(p=.004)和社会环境变化(p=<0.003),有意停止药物使用的维持性占总方差的33%。结论:MTM可作为预测药物使用行为改变的有用模型。临床医生和患者可以深入了解并讨论康复所需的行为改变。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号