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Tytuł:
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Development of the Risk of Relapse Assessment Scale for methamphetamine abusers in China.
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Autorzy:
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Xu S; Department of Social Work, East China University of Political Science & Law, China.
Zhang K; Department of Social Work, East China University of Political Science & Law, China.
Luo T; Department of Social Work and Social Administration, The University of Hong Kong, Hong Kong. Electronic address: .
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Źródło:
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Drug and alcohol dependence [Drug Alcohol Depend] 2021 Oct 01; Vol. 227, pp. 108992. Date of Electronic Publication: 2021 Aug 28.
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Typ publikacji:
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Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: Limerick : Elsevier
Original Publication: Lausanne, Elsevier Sequoia.
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MeSH Terms:
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Methamphetamine*
Adolescent ; Adult ; China/epidemiology ; Factor Analysis, Statistical ; Humans ; Middle Aged ; Psychometrics ; Recurrence ; Reproducibility of Results ; Surveys and Questionnaires ; Young Adult
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Contributed Indexing:
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Keywords: China; Development; Methamphetamine abuse; Relapse; Reliability
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Substance Nomenclature:
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44RAL3456C (Methamphetamine)
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Entry Date(s):
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Date Created: 20210905 Date Completed: 20211021 Latest Revision: 20220531
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Update Code:
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20240105
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DOI:
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10.1016/j.drugalcdep.2021.108992
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PMID:
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34482042
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Background: Relapse to Methamphetamine (MA) use is among the public concerns nowadays, which result in adverse outcomes associated with physical and mental health problems. This study aimed to develop the Risk of Relapse Assessment Scale (RRAS) for Chinese MA abusers.
Method: A sample of 438 MA abusers aged between 17 and 58 years (M ± SD age = 34.08 ± 8.61 years) in compulsory detoxification institutes were randomly divided into sub-sample 1 (n = 223) and sub-sample 2 (n = 215) for conducting exploratory factor analysis and confirmatory factor analysis respectively.
Results: Compared four-factor model with 19 items and three-factor model with 16 items using principal axis factoring, the three-factor solution showed better model fit. Three factors were identified in RRAS: Craving for MA, Social Recognition, and Attitude towards MA which accounted for 50.06 % of the variance in total. The results of confirmation factor analysis demonstrated good model fits (CFI = 0.95; TLI = 0.94; RMSEA = 0.050; GFI = 0.92). The internal consistency analysis indicated that the three-factor model had satisfactory reliability with Cronbach alphas ranging from 0.71 to 0.88 for different factors. Overall, the results showed that the RRAS had good construct validity and satisfactory reliability, suggesting that it was a good instrument for measuring the relapse of MA.
Conclusions: The RRAS with good psychometric properties provides a promising future for developing effective relapse prevention programs for MA abusers in China.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
