Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Medical Psychological Institute of Central South University, Changsha, Hunan, 410011, China.
Subst Abuse Treat Prev Policy. 2020 Apr 9;15(1):28. doi: 10.1186/s13011-020-00263-9.
In China, substance use disorders represent a significant burden on public health and the economy. However, while the range of drugs and drug markets expands and diversifies, the instruments available to evaluate users' dependence statuses from multiple dimensions have become insufficient. Accordingly, the present study presents the Chinese version of the Addiction Profile Index (API), explores its reliability and validity, and investigates the measurement invariance between males and females with substance use disorders.
The API, a self-report questionnaire, was administered to 2252 people with substance use disorders who were undergoing treatment in compulsory detoxification institutions located in five provinces in China (943 females; mean age = 33.5 years old, SD = 8.6). Additionally, to ensure the authenticity of the collected data, the study's volunteers completed the Drug Use Disorders Identification Test (DUDIT), DUDIT-Extended (DUDIT-E), and the Health Scale for Drug Abusers (HSDA).
The revised API, with its updated substance list, featured 34 items. The new four-factor model, incorporating behavioral symptoms of dependence, impact on social life, cravings, and motivations for detoxification, explained 55.30% of the total variance, indicating a good fit. Moreover, Cronbach's α and mean item coefficient values showed good internal consistency reliability. Regarding criterion validity, the revised factors were moderately to highly correlated with their corresponding subscales in the DUDIT, DUDIT-E, and HSDA. In addition, the multigroup confirmatory factor analysis demonstrated that a measurement invariance of the revised four-factor model across genders was supported, fully assuming different degrees of invariance. The three factors of symptoms, social life, and motivation exhibited significant differences between male and female participants in the t test results (p < 0.01).
The Chinese version of the API shows good psychometric properties in terms of reliability and validity, and exhibits measurement equivalence across the genders. Therefore, it could be used to comprehensively assess the severity of drug dependence in people with substance use disorders.
在中国,物质使用障碍对公共卫生和经济造成了重大负担。然而,随着毒品范围和毒品市场的扩大和多样化,用于从多个维度评估使用者依赖状况的工具已经变得不足。因此,本研究提出了中文版本的成瘾特征指数(API),探讨了其信度和效度,并调查了男性和女性物质使用障碍者之间的测量不变性。
API 是一种自我报告问卷,对中国五个省份的强制戒毒机构中接受治疗的 2252 名物质使用障碍者进行了评估(女性 943 名;平均年龄 33.5 岁,标准差 8.6)。此外,为了确保收集数据的真实性,研究志愿者完成了药物使用障碍识别测试(DUDIT)、DUDIT-扩展版(DUDIT-E)和药物滥用者健康量表(HSDA)。
经过修订的 API 更新了物质清单,共有 34 个项目。新的四因素模型,包括依赖行为症状、对社会生活的影响、渴望和戒毒动机,解释了总方差的 55.30%,表明拟合良好。此外,Cronbach's α 和平均项目系数值显示出良好的内部一致性信度。关于效标效度,修订后的因子与 DUDIT、DUDIT-E 和 HSDA 中相应的子量表呈中度至高度相关。此外,多组验证性因素分析表明,性别间修订后的四因素模型的测量不变性得到支持,完全假设了不同程度的不变性。在 t 检验结果中,男性和女性参与者的症状、社会生活和动机三个因素存在显著差异(p<0.01)。
中文版本的 API 在信度和效度方面具有良好的心理测量学特性,并且在性别间具有测量等效性。因此,它可以用于全面评估物质使用障碍者的药物依赖严重程度。