Evaluation of Drug Addicts Rate with Environmental Components Study in Terengganu, Malaysia

  • Authors

    • Mohd Ekhwan Toriman
    • Mohd Khairul Amri Kamarudin
    • Nur Atikah Mohd Adanan
    • Norfatihah Haron
    • Sharifah Nurul Izatiumira Syed Omar
    • Wan Nur Ain Syazwani Wan Mohamad Zailan
    • Nor Amira Shafiqah Zulkifli
    • Siti Nor Fazillah Abdullah
    2018-07-25
    https://doi.org/10.14419/ijet.v7i3.14.16857
  • Drug Addicts Rate, Addiction, Drug factors, district, gender, factor.
  • The evolution of drug addict’s rate is significantly increase in Malaysia and it's became a chronic problem among the society. The number of drug addiction cases in Malaysia is contributed by the number of drug addicts involving all the states including Terengganu. The aim of this study is to evaluation the rate of drug addicts according to several environmental components which affects the increment of drug addiction in Terengganu. In this study, the Descriptive Statistics Analysis using XLSTAT has been use to describe the result. The results indicate there are five factors that involve with drug influence including peer influence, curiosity, depression, fun and enduring pain or body defense and the major factors influencing the involvement of drug addicts into this problem is peer influence. Therefore, the stakeholder involved could put an effort to reduce the drug addicts’ rate through proving an effective plan. This study suggested all parties need to know the tremendous drug problem not only in Terengganu but also in Malaysia. This is so that the problem of drug can be reduced and make Malaysia a nation free from drug debris that can endanger everyone.

     

     
  • References

    1. [1] Razak, D. A. (2004) Dadah: Senario sejagat yang membimbangkan. Retrieved, (18 April 2017). http:/www.adk.gov.my.my/rawat5.html.

      [2] Ali, N. A. M., Mohamad, M., Muhammad, N., Yusoff, H. M., & Omar, N. (2016) “The Impact of Social Climate on Life Satisfaction of Drug-Abuse Inmates in Malaysia Prison,†IJABER, 14, 9453-9464.

      [3] Zhang, R. (2017). The stress-buffering effect of self-disclosure on Facebook: an examination of stressful life events, social support, and mental health among college students. Computers in Human Behavior, 75, 527-537.

      [4] Juita Ghazalie & Osman Ali. (2006) Drug addiction and HIV infection amongst male in Malaysia, 1994. Drug addiction and HIV infection amongst male in Malaysia, 1994. Jurnal Kesihatan Masyarakat, 12(1), 1-8.

      [5] Toriman, M. E., Abdllah, S. N. F., Azizan, I A., kamarudin, M. K. A., Umar, R., & Mohamad, N. (2015). Spatial and Temperoral Assessment on Drug Addiction Using Multivariate Analysis and GIS. Malaysian Journal of Analytical Sciences, 19(6), 1361-1373.

      [6] Othman Z. (2015). Penyalahgunaan Dadah Sebagai Ancaman Keselamatan. Malaysian Journal of Society and Space, 11 (13), 60-71.

      [7] Mohamad, M., Kamarudin, M. K. A., Juahir, H., Ali, N. A. M., Karim, F., Badarilah, N., ... & Ridzuan, M. S. M. (2018) Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates. International Journal of Engineering & Technology, 7(2.15), 1-7.

      [8] Chaney, R. A., & Rojas-Guyler, L. (2015). Spatial patterns of adolescent drug use. Applied Geography, 56, 71-82.

      [9] Hasnah Bibon & Mohd Hatta Md. Ramli, (2006) Knowledge, attitude and practice of prevention towards HIV/AIDS amongst health personnel in Tapah Hospital, Perak, 1996. Jurnal Kesihatan Masyarakat, 12 (1), 32-43.

      [10] Brownstein, J. S., Green, T. C., Cassidy, T. A., & Butler, S. F. (2010). Geographic information systems and pharmacoepidemology: using spatial cluster detection to monitor local patterns of prescription opioid abuse. Pharmacoepidemiology and drug safety, 19 (6), 627-637.

      [11] Sikkens, E., & San, M. Van. (2015). It’s a hard knock life the survival strategies of Dutch Mulas in Peruvian prisons. Crime Law Soc Change, (63), 121–135.

      [12] Ibrahim F, Samah B. A., Talib M. A. & Sabran M.A. (2012), Penagih Dadah Dan Keadaan Berisiko Tinggi Kembali Relaps. Journal of Social Science and Humanities, 7(1), 43-54.

      [13] Harun L. M. (2004), Penerokaan Gaya Hidup Penagih Dadah: Perspektif Teori Psikologi Individu. Pertanika J. Soc. Sci & Hum. 12(2), 111-120.

      [14] Akers RL (1992) Linking Sociology and Its Specialties: The Case of Criminology, Social Forces, 71(1), 1-16.

      [15] Field T. S., Gurwitz J. H., Harrold L. R., Rothschild M. D., DeBellis K. R., Seger A. C., Auger J. C., Garber L. A., Cadoret C, Fish L, Garber L. D, Kelleher M., Bates D. W. (2004), J Am Geriatr Soc, 52, 1349-1354.

      [16] Ibrahim F (2014), Penglibatan Remaja Dalam Penyalahgunaan Dadah: Analisis Tahap Perhubungan Dengan Rakan Sebaya. Jurnal Pembangunan Sosial, 17, 71–85.

      [17] Bistamam M. N., Ahmad A., Noor A. M., Jusoh A. J., Mustafa M. B., Ismail N., Jais S. M., Rohaizad F., & Idris M. N. (2015), Profil Tingkah Laku Remaja Berisiko Mengambil Dadah. Jurnal antidadah Malaysia, 9(1), 23-34.

      Tunggak B., Hashim S., Mohamad N. A. & Ali M. (2015), Faktor Risiko Belia Terlibat Dalam Penyalahgunaan Dadah dan Cadangan Penyelesaiannya Menerusi Model Pembangunan Belia Muslim Terpimpin. Jurnal Antidadah Malaysia, 9(1), 67-87.
  • Downloads

  • How to Cite

    Ekhwan Toriman, M., Khairul Amri Kamarudin, M., Atikah Mohd Adanan, N., Haron, N., Nurul Izatiumira Syed Omar, S., Nur Ain Syazwani Wan Mohamad Zailan, W., Amira Shafiqah Zulkifli, N., & Nor Fazillah Abdullah, S. (2018). Evaluation of Drug Addicts Rate with Environmental Components Study in Terengganu, Malaysia. International Journal of Engineering & Technology, 7(3.14), 26-29. https://doi.org/10.14419/ijet.v7i3.14.16857