Suppr超能文献

合成药物依赖量表在中国样本中的编制及心理测量学特性

Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample.

作者信息

Li Mei-Ting, Zhang Jun, Zhang Dong-Cheng, Che Qing-Qing, Liu Ze-Lan, Yang Pei-Wen, Luo Xin-Wei, Cai Tai-Sheng

机构信息

The Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, China.

Department of Corrective Education, Hunan Judicial Police Vocational College, Changsha, China.

出版信息

Front Psychol. 2021 Oct 26;12:717029. doi: 10.3389/fpsyg.2021.717029. eCollection 2021.

Abstract

In contrast to the drug situation in the rest of the world, synthetic drugs, rather than traditional drugs, have been the dominant abused drugs in China since 2019. However, the public misconception that synthetic drugs are not as addictive as traditional drugs, such as opioids and the scarcity of specific measurement instruments, have hindered the clinical diagnosis and treatment of synthetic drug abusers, thus the development of a localized instrument to evaluate dependence on synthetic drugs is in urgently needed. Using a sample of 618 Chinese synthetic drug abusers (Mean age = 34.69 years; 44.17% female), the present study developed and examined the psychometric properties of a self-reporting instrument, the Synthetic Drug Dependence Scale (SDDS), which consists of four subscales: physical dependence, psychological dependence, health injury, and social function injury. The SDDS revealed a three-factor model structure (weighted root mean square residual (WRMR) = 0.876, comparative fit index (CFI) = 0.965, Tucker-Lewis index (TLI) = 0.953, and Root mean square error of approximation (RMSEA) = 0.070), with good internal consistency (composite reliability = 0.912, alfa = 0.801) and convergent validity. Elevated scores on the SDDS were associated with a higher level of reward sensitivity, punishment sensitivity, and stronger impulsivity. Interestingly, psychological dependence was the only significant predictor ( < 0.05) of criterion variables compared with the other three subscales, implying the important role of psychological factors in synthetic drugs dependence. Adequate measurement equivalence across sex, age (18-30 and 31-57 years old), and employment group (employed and unemployed) was also established. The SDDS appears to be an effective and reliable instrument that could be used to further investigate the characteristics of synthetic and traditional drug dependence, promoting a deeper understanding of the physical and psychological roles in drug dependence.

摘要

与世界其他地区的毒品情况不同,自2019年以来,合成毒品而非传统毒品一直是中国主要的滥用毒品。然而,公众认为合成毒品不像阿片类等传统毒品那样容易成瘾的误解,以及特定测量工具的匮乏,阻碍了合成毒品滥用者的临床诊断和治疗,因此迫切需要开发一种用于评估对合成毒品依赖程度的本土化工具。本研究以618名中国合成毒品滥用者为样本(平均年龄 = 34.69岁;44.17%为女性),开发并检验了一种自陈式工具——合成毒品依赖量表(SDDS)的心理测量特性,该量表由四个子量表组成:生理依赖、心理依赖、健康损害和社会功能损害。SDDS呈现出三因素模型结构(加权均方根残差(WRMR) = 0.876,比较拟合指数(CFI) = 0.965,塔克 - 刘易斯指数(TLI) = 0.953,近似均方根误差(RMSEA) = 0.070),具有良好的内部一致性(组合信度 = 0.912,阿尔法系数 = 0.801)和收敛效度。SDDS得分升高与更高水平的奖赏敏感性、惩罚敏感性以及更强的冲动性相关。有趣的是,与其他三个子量表相比,心理依赖是标准变量的唯一显著预测因子(p < 0.05),这意味着心理因素在合成毒品依赖中起着重要作用。同时也建立了跨性别、年龄(18 - 30岁和31 - 57岁)以及就业群体(就业和失业)的充分测量等效性。SDDS似乎是一种有效且可靠的工具,可用于进一步研究合成毒品和传统毒品依赖的特征,促进对毒品依赖中生理和心理作用的更深入理解。

相似文献

本文引用的文献

10
Depression in chronic ketamine users: Sex differences and neural bases.慢性氯胺酮使用者的抑郁:性别差异与神经基础。
Psychiatry Res Neuroimaging. 2017 Nov 30;269:1-8. doi: 10.1016/j.pscychresns.2017.09.001. Epub 2017 Sep 5.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验