Application of the Chinese version of the addiction profile index (API) in drug users: an analysis of validity and measurement invariance across genders

• Published in: Substance abuse treatment, prevention and policy Vol. 15; no. 1; pp. 28 - 10
• Main Authors: Gao, Huiyuan, Liu, Meizhu, Luo, Xu, Zhang, Jun, Cai, Taisheng
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 09.04.2020; BioMed Central; BMC
• Subjects: Addiction profile index; Addictions; Adolescent; Adult; Behavior, Addictive - psychology; China; Dependence; Detoxification (Substance abuse treatment); Drug abuse; Drug use; Drugs; Education; Female; Harm reduction; Humans; Male; Measurement; Measurement invariance; Mental disorders; Methadone; Methamphetamine; Middle Aged; Narcotics; Psychometrics; Quantitative psychology; Rehabilitation; Reliability; Self Report - standards; Severity; Substance-Related Disorders; Validity; Young Adult; China; Validity; Severity; Measurement invariance; Reliability; Addiction profile index
• ISSN: 1747-597X; 1747-597X
• 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.