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

Objective: 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 sc...

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Autores principales: Li, Mei-Ting, Zhang, Jun, Zhang, Dong-Cheng, Che, Qing-Qing, Liu, Ze-Lan, Yang, Pei-Wen, Luo, Xin-Wei, Cai, Tai-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576389/
https://www.ncbi.nlm.nih.gov/pubmed/34764905
http://dx.doi.org/10.3389/fpsyg.2021.717029
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author Li, Mei-Ting
Zhang, Jun
Zhang, Dong-Cheng
Che, Qing-Qing
Liu, Ze-Lan
Yang, Pei-Wen
Luo, Xin-Wei
Cai, Tai-Sheng
author_facet Li, Mei-Ting
Zhang, Jun
Zhang, Dong-Cheng
Che, Qing-Qing
Liu, Ze-Lan
Yang, Pei-Wen
Luo, Xin-Wei
Cai, Tai-Sheng
author_sort Li, Mei-Ting
collection PubMed
description Objective: 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. Method: 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. Results: 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 (p < 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. Conclusion: 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.
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spelling pubmed-85763892021-11-10 Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample Li, Mei-Ting Zhang, Jun Zhang, Dong-Cheng Che, Qing-Qing Liu, Ze-Lan Yang, Pei-Wen Luo, Xin-Wei Cai, Tai-Sheng Front Psychol Psychology Objective: 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. Method: 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. Results: 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 (p < 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. Conclusion: 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. Frontiers Media S.A. 2021-10-26 /pmc/articles/PMC8576389/ /pubmed/34764905 http://dx.doi.org/10.3389/fpsyg.2021.717029 Text en Copyright © 2021 Li, Zhang, Zhang, Che, Liu, Yang, Luo and Cai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Li, Mei-Ting
Zhang, Jun
Zhang, Dong-Cheng
Che, Qing-Qing
Liu, Ze-Lan
Yang, Pei-Wen
Luo, Xin-Wei
Cai, Tai-Sheng
Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample
title Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample
title_full Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample
title_fullStr Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample
title_full_unstemmed Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample
title_short Development and Psychometric Properties of the Synthetic Drug Dependence Scale in a Chinese Sample
title_sort development and psychometric properties of the synthetic drug dependence scale in a chinese sample
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576389/
https://www.ncbi.nlm.nih.gov/pubmed/34764905
http://dx.doi.org/10.3389/fpsyg.2021.717029
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