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Predictor factor on relapse among former addicts


Citation

Razali, Asbah and Madon, Zainal (2020) Predictor factor on relapse among former addicts. International Journal of Academic Research in Business and Social Sciences, 10 (16). 278 - 288. ISSN 2222-6990

Abstract

The inclination to relapse among drug addicts is related to the desire of former addicts to relapse drugs after the end of their treatment and rehabilitation process. Identifying the predictor factor for the inclination to relapse among former addicts could not only prevent relapse, but also recognise the largest influence in their lives that contribute to their relapse. This study uses the questionnaires of the Inventory of Drug-Taking Situations, General Self Efficacy, Coping Strategy and Social Provisions Scale. The findings show there are six identifiable significant predictor variables and the main contributors to the inclination to relapse; problem-focused coping, emotion-focused coping, avoidance coping, self-efficacy, family support, and peer support towards the inclination to relapse. Based on the results, it could be concluded that these six predictor variables have been identified as significant and the main contributors to the inclination to relapse. The findings also found self-efficacy to have a significant effect on the inclination to relapse. This study could indirectly aid the government in their efforts to overcome the drug problem, and benefit the affected parties in formulating various rehabilitation and prevention programmes for former addicts, as failure to solve this problem not only threatens the lives of individuals, but also the national social and economic development.


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Additional Metadata

Item Type: Article
Divisions: Institute for Social Science Studies
DOI Number: https://doi.org/10.6007/IJARBSS/v10-i16/8311
Publisher: Human Resource Management Academic Research Society
Keywords: Drug addicts; Relapse drugs; Predictor factor
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 22 Mar 2023 02:20
Last Modified: 22 Mar 2023 02:20
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.6007/IJARBSS/v10-i16/8311
URI: http://psasir.upm.edu.my/id/eprint/87246
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