Application of Fuzzy DEMATEL technique to design a causal-disability decision-making model of the factors influencing youth's tendency to drugs

Document Type : Original Article

Authors

1 Shahid Bahonar University of Kerman

2 Kerman Shahid Bahonar University

Abstract

Objective: Fuzzy DEMATEL technique is used to identify and reduce complexity in modeling. The current research was conducted with the aim of designing the fuzzy DEMATEL technique in R software to increase the accuracy and ease of use of this method for future researchers using a practical example.
Method: The research method is descriptive-survey in terms of applied purpose and in terms of data collection. Six effective factors were identified by Delphi method and a special fuzzy DEMATEL questionnaire was used to compare these factors. Using snowball sampling method, 8 experts were selected to evaluate the effective factors.
Results: After extracting the final results of the fuzzy DEMATEL model, six influential factors in the tendency of young people to drugs were separated into cause and effect factors. Two factors of education and place of residence were selected as causal factors and four factors of family environment, communication with addicted friends and acquaintances, mental health problems and loneliness were selected as factors of disability.
Conclusion: In order to reduce the tendency of young people to use drugs, it is suggested that the necessary guidelines and policies be considered in accordance with the causes and effects.

Keywords

References

 [1]اسدی، س م.، پرزور. ‎(1399)‎ بررسی علل گرایش به مصرف مواد مخدر ‎(اعتیاد)‎ در شهر اردبیل. فصلنامه علمی اعتیادپژوهی، شماره ‎۵۶‎، صص ‎169‎ تا ‎198‎
 
[2]اسلام‌دوست، ث. ‎(1397)‎ اعتیاد (سبب‌شناسی و درمان). تهران: انتشارات پیام نور.
 
[3]برآبادی، ب.، آقایی، ح., و نوحی ‎(1397)‎ شناسایی عوامل مؤثر بر گرایش به مواد مخدر در زنان و ارائه مدل با نرم‌افزار ‎PLS. ‎ اعتیاد پژوهی, شماره ‎۴۵‎، صص ‎231‎ تا ‎246‎.
 
[4]حاجی‌حسنی، شفیع‌آبادی، ع.، پیرساقی، بشیرپور، م. ‎(1391)‎ پیش بینی گرایش به اعتیاد بر اساس میزان پرخاشگری و ابراز وجود در دانشجویان. فصلنامه علمی و پژوهشی اعتیادپژوهی، شماره ‎۲۰‎، صص ‎41‎ تا ‎54‎.
 
[5]دانش، ت. ‎(1385)‎ معتاد کیسیت و موادمخدر چیست، تهران، انتشارات کیهان.
 
[6]زارع شاه آبادی، ا.، بنیاد، ل. ‎(1399)‎ رابطه بین سرمایه اجتماعی و گرایش دانش‌آموزان به مصرف موادمخدر. فصلنامه انتظام اجتماعی‌، شماره ‎۱‎، صص ‎1‎ تا ‎20‎.
 
[7]عبدالهی، س.، دارابی، ش. ‎(1399)‎ مدل ساختاری نقش عوامل محیطی و خانوادگی در پیشگیری رشدمدار از گرایش به مصرف مواد مخدر و روانگردان. فصلنامه علمی اعتیادپژوهی، شماره ‎۵۶‎، صص ‎41‎ تا ‎58‎.
 
[8]کمری، ح.، کمری، ف. و رحمانی، ب. ‎(1394)‎ بررسی نقش عوامل مؤثر در جلوگیری از آلودگی نوجوانان و جوانان به مواد مخدر(از دیدگاه مشاوران و مدرسان تعلیم و تربیت) دانش انتظامی کرمانشاه، سال ششم، شماره ‎22‎.
 
[9]نوبخت. ‎(1394)‎ نگرش دانشجویان به سوءمصرف مواد مخدر و عوامل مؤثر بر آن. پژوهشنامه مددکاری اجتماعی، شماره ‎۳‎، صص ‎156‎ تا ‎188‎.
 
[10]نیازی، ز. ‎(1392)‎ بررسی عوامل موثر بر اعتیاد زنان معتاد زندانی در زندان مرکزی اصفهان، پایان نامه کارشناسی ارشد، گروه جامعه شناسی، دانشگاه پیام نور تهران واحد غرب.
 
[11]ویسی رایگانی، ف.، عبدی، ع.، شاکری، ج.، مردوخی ‎(1394)‎ علل گرایش به مصرف مواد از دیدگاه مراجعه‌کنندگان به مراکز ترک اعتیاد استان کرمانشاه. پژوهش توانبخشی در پرستاری، شماره ‎۲‎، صص ‎47‎ تا ‎56‎.
 
[12]هزاریان، ص.، بختیارپور، س.، عسگری، پ. و حافظی ‎(1399)‎ رابطه بین عملکرد خانواده و نگرش به مواد مخدر با میانجی گری سازگاری اجتماعی در دانش آموزان. فصلنامه علمی اعتیادپژوهی، شماره ‎۱۵‎، صص ‎139‎ تا ‎156‎.
 
[13] Alam-mehrjerdi, Z., Mokri, A., & Dolan, K. (2015) Methamphetamine use and treatment in Iran: A systematic review from the most populated Persian Gulf country. Asian journal of psychiatry, 16, 17-25.
 
[14] Amin‐Esmaeili, M., Rahimi‐Movaghar, A., Sharifi, V., Hajebi, A., Radgoodarzi, R., Mojtabai, R., ... & Motevalian, A. (2016) Epidemiology of illicit drug use disorders in Iran: prevalence, correlates, comorbidity and service utilization results from the Iranian Mental Health Survey. Addiction, 10, 1836-1847.
 
[15] Asan, U., Kadaifci, C., Bozdag, E., Soyer, A., & Serdarasan, S. (2018) A new approach to DEMATEL based on interval-valued hesitant fuzzy sets. Applied Soft Computing, 66, 34-49.
 
[16] Campana, B., Brasiel, P. G., de Aguiar, A. S., & Luquetti, S. C. P. D. (2019) Obesity and food addiction: similarities to drug addiction. Obesity Medicine, 100136.
 
[17] Chang, D. Y. (1996) Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 3, 649-655.
 
[18] Gabus, A., & Fontela, E. (1976) The DEMATEL observer. Battelle Geneva Research Center, Geneva, Switzerland.
 
[19] Hall, W. D., Patton, G., Stockings, E., Weier, M., Lynskey, M., Morley, K. I., & Degenhardt, L. (2016) Why young people’s substance use matters for global health. The Lancet Psychiatry, 3, 265-279.
 
[20] http://www.unodc.org/wdr2019/.
 
[21] Ikoh, M. U., Smah, S. O., Okwanya, I., Clement, U. A., & Aposhi, Z. A. (2019) Factors affecting entry into drug abuse among youths in Lafia metropolis: implications on security. Sage open, 1, 2158244018823428.
 
[22] Kilic, H., & Yalcin, A. S. (2020) Comparison of municipalities considering environmental sustainability via neutrosophic DEMATEL based TOPSIS. SocioEconomic Planning Sciences, 100827.
 
[23] Mahmoudi, S., Jalali, A., Ahmadi, M., Abasi, P., & Salari, N. (2019) Identifying critical success factors in Heart Failure Self-Care using fuzzy DEMATEL method. Applied Soft Computing, 84, 105729.
 
[24] Nikfarjam, A., Shokoohi, M., Shahesmaeili, A., Haghdoost, A. A., Baneshi, M. R., Haji-Maghsoudi, S. & Tarjoman, T. (2016) National population size estimation of illicit drug users through the network scale-up method in 2013 in Iran. International Journal of Drug Policy, 31, 147-152.
 
[25] Palamar, J. J., & Keyes, K. M. (2020) Trends in drug use among electronic dance music party attendees in New York City, 2016–2019. Drug and alcohol dependence, 209, 107889.
 
[26] Rostami, M., Karamouzian, M., Khosravi, A., & Rezaeian, S. (2018) Gender and geographical inequalities in fatal drug overdose in Iran: A province-level study in 2006 and 2011. Spatial and spatio-temporal epidemiology, 25, 19-24.
 
[27] Ruisoto, P., & Contador, I. (2019) The role of stress in drug addiction. An integrative review. Physiology & behavior.
 
[28] Salas-Wright, C. P., Oh, S., Vaughn, M. G., Cohen, M., Scott, J. C., & Amodeo, M. (2019) Trends and drug-related correlates in residential mobility among young adults in the United States, 2003-2016. Addictive behaviors, 90, 146-150.
 
[29] Selfridge, M., Greer, A., Card, K. G., Macdonald, S., & Pauly, B. (2020) It’s like super structural–Overdose experiences of youth who use drugs and police in three non-metropolitan cities across British Columbia. International Journal of Drug Policy, 76, 102623.
 
[30] Sharifi, H., Shokoohi, M., Ahmad RafieiRad, A., Sargolzaie Moghadam, M., Haghdoost, A. A., Mirzazadeh, A., & Karamouzian, M. (2017). Methamphetamine use among Iranian youth: a population-based knowledge, attitude, and practice study. Substance use & misuse, 9, 1214-1221.
 
[31] Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL technique: A systematic review of the state-of-the-art literature on methodologies and applications. Mathematical Problems in Engineering, 2018.
 
[32] Song, W., Zhu, Y., & Zhao, Q. (2020) Analyzing barriers for adopting sustainable online consumption: A rough hierarchical DEMATEL method. Computers & Industrial Engineering, 106279.
 
[33] Vaughn, M. G., AbiNader, M. A., Salas-Wright, C. P., Oh, S., & Holzer, K. J. (2018) Declining trends in drug dealing among adolescents in the United States. Addictive behaviors, 84, 106-109.
 
[34] Vitale, E., Della Pietà, C., Agresti, R., Lacatena, C., & Gualano, A. (2021) Drug Addiction and Crime: Prevention Begins in Schools. Aus J Nursing Res AJNR100024, 01.
 
[35] Yao, Y. W., Liu, L., Worhunsky, P. D., Lichenstein, S., Ma, S. S., Zhu, L., ... & Yip, S. W. (2020) Is monetary reward processing altered in drug-naïve youth with a behavioral addiction? Findings from internet gaming disorder. NeuroImage: Clinical, 26, 102202.
 
[36] Yazdi, M., Nedjati, A., Zarei, E., & Abbassi, R. (2020) A novel extension of DEMATEL approach for probabilistic safety analysis in process systems. Safety science, 121, 119-136.
 
[37] Zeng, X., & Tan, C. (2021) The Relationship between the Family Functioning of Individuals with Drug Addiction and Relapse Tendency: A Moderated Mediation Model. International Journal of Environmental Research and Public Health, 2, 625.
Fuzzy Systems and its Applications
Volume 5, Issue 2 - Serial Number 11
January 2023
Pages 227-245

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History

  • Receive Date: 07 September 2022
  • Revise Date: 06 October 2022
  • Accept Date: 11 January 2023

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