Factor structure and validity of the substance use motives measure in students

Document Type : Research Paper

Authors

1 Ph.D. student in educational psychology, Kerman Branch, Islamic Azad University, Kerman, Iran.

2 Assistant professor of psychology, Kerman Branch, Islamic Azad University, Kerman, Iran.

3 Associate professor of psychology, Kerman Branch, Islamic Azad University, Kerman, Iran.

Abstract

Introduction: Regarding the prevalence of substance abuse among students, this study aimed to validate the Substance Use Motives Measure (SUMM) in this group.
 
Materials and Methods: The statistical population consisted of all high school students in Kerman city, Iran in 2022. We selected students using the multistage cluster sampling method. Out of 1045 students, 977 answered to the Substance Use Motives Measure (SUMM) and the Farjad's Addiction Tendency Scale. We used content validity indices, Pearson correlation coefficient, exploratory and confirmatory factor analysis, Cronbach's alpha, Guttman coefficient, and split-half coefficient. The data were analyzed through SPSS-22 and LISREL 8.8 software.
 
Results: The SUMM had high content and concurrent validity. The results of structural validity showed that the eight-factor model of the SUMM had appropriate fit indices, and this model explained 68.84 percent of the total variance. The results of the internal reliability of the SUMM showed that Cronbach's alpha and split-half coefficients for the whole scale and its eight factors were in the range of 0.81 to 0.95.
 
Conclusion: Based on the findings, the Substance Use Motives Measure (SUMM) has appropriate validity and reliability and can be used to assess addiction motives in students.

Keywords

References

  1. Mardani M, Alipour F, Rafiey H, Fallahi-Khoshknab M, Arshi M. Challenges in addiction-affected families: A systematic review of qualitative studies. BMC Psychiatry 2023; 23(1): 439.
  2. Marinelli S, Basile G, Manfredini R, Zaami S. Sex-and gender-specific drug abuse dynamics: The need for tailored therapeutic approaches. J Pers Med 2023; 13(6): 965.
  3. Treviño Benavides TB, Alcorta Castro AT, Garza Marichalar SA, Peña Cisneros M, Baker Suárez EC. Possible outcomes and consequences of addiction. Social media addiction in generation Z consumers. Switzerland: Springer; 2023: 35-8.
  4. Seabra P, Boska G, Sequeira R, Sequeira A, Simões A, Nunes I, et al. Structured programs for the self-management of substance addiction consequences in outpatient services: A scoping review. Curr Psychol 2024: 43: 165-78.
  5. Garavand H, Nazari MR. [Systematic review and meta-analysis of studies on internet addiction with the approach of identifying its religious antecedents and consequences]. Biannual journal of Islam and social sciences 2023; 15: 53-77. (Persian)
  6. Biolcati R, Passini S. Development of the Substance Use Motives Measure (SUMM): A comprehensive eight-factor model for alcohol/drugs consumption. Addict Behav Rep 2019; 10: 100199.
  7. Substance Abuse and Mental Health Services Administration. TIP 35: Enhancing motivation for change in substance use disorder treatment. [cited 2019]. Available from: https://store.samhsa.gov/product/tip-35-enhancing-motivation-change-substance-use-disorder-treatment/pep19-02-01-003
  8. Miranda S, Trigo I, Rodrigues R, Duarte M. Addiction to social networking sites: Motivations, flow, and sense of belonging at the root of addiction. Technol Forecast Soc Change 2023; 188: 122280.
  9. Ragona A, Mesce M, Cimino S, Cerniglia L. Motivations, behaviors and expectancies of sexting: The role of defensive strategies and social media addiction in a sample of adolescents. Int J Environ Res Public Health 2023; 20(3): 1805.
  10. Teymourian M, Khosromanesh R. A qualitative study of exercise addiction among Iranian women. Sport Management journal 2023; 15(2): 182-201.
  11. Brown AA, Cofresí R, Froeliger B. Associations between the Wisconsin inventory of smoking dependence motives and regional brain volumes in adult smokers. Nicotine Tob Res 2023; 25(12): 1882-90.
  12. Yang L, Du Y, Yang W, Liu J. Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction. Addict Biol 2023; 28(2): e13267.
  13. Henden E. Addiction and autonomy: Why emotional dysregulation in addiction impairs autonomy and why it matters. Front Psychol 2023; 14: 1081810.
  14. Razaghi E, Farhoudian A, Pilevari A, Noroozi A, Hooshyari Z, Radfar R, et al. Identification of the socio-cultural barriers of drug addiction treatment in Iran. Heliyon 2023; 9(5): e15566.
  15. Sreeraj VS, Prasad S, Khess CRJ, Uvais NA. Reasons for substance use: A comparative study of alcohol use in Tribals and non-tribals. Indian J Psychol Med 2012; 34(3): 242-6.
  16. Cooper M. Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychol Assess 1994; 6: 117-28.
  17. Allahverdipour H, Hidarnia A, Kazemnejad A, Shafii F, Azad Fallah P, Mirzaee E, et al. [Assessment of substance abuse behaviors in adolescents’: Integration of self-control into extended parallel process model]. Journal of Shahid Sadoughi University of Medical Sciences 2005; 13(1): 21-31. (Persian)
  18. Kialha S. [Addiction in adolescents: A review of the role of family functioning]. Journal of psychology new ideas 2022; 12: 1-22. (Persian)
  19. Chopankare Z. [Alarming statistics of the prevalence of drug use]. Etemad newspaper. [cited 2017]. Available from: https://www.etemadnewspaper.ir/fa/main/detail/59168/ (Persian)
  20. Sheikh M, Kashi A. [Prevalence of narcotic abuse among Iranian adolescent and factors related to it among them]. Strategic studies on youth and sports 2016; 14: 145-60. (Persian)
  21. Hosseini Nasab A, Sanjari S, Mohammadi Soleimani MR, Alidousti K. An investigation into the effects of COVID-19 vaccines on Iranian women’s menstrual cycle. Ital J Gynaecol Obstet 2023. (in press)
  22. Fang J. Statistical methods for biomedical research. Singapore: World Scientific Publishing Company; 2021.
  23. Panahifar S, Maheri Nooryani Z, Ghanbari Z, Sanjari S. [Relationship between self-concept, resilience and differentiation with Corona virus anxiety in hospital intensive care unit nurses]. Iranian journal of critical care nursing 2022; 15(1): 63-72. (Persian)
  24. Sanjari S, Amir Fakhraei A, Alidousti K, Mohammadi Soleimani MR. Validation of the slade fear of childbirth scale for pregnancy in a sample of Iranian women. Crescent journal of medical and biological sciences 2022; 9(3): 138-46.
  25. Sinha VC, Gupta A, Publications S. Statistical Analysis (Latest). India: SBPD Publications; 2023.
  26. Sanjari S, Soleimani MRM. Validation of the Persian version of the engagement in E-learning scale in students of the School of Nursing and Midwifery in Iran. Middle East journal of rehabilitation and health studies 2023; 10(3): e134881.
  27. Calvo E, de la Cova E. A qualitative approach to translation studies: Spotlighting translation problems. United Kingdom: Taylor and Francis; 2023.
  28. Farjad MH. [Social pathology and sociology of deviations]. Tehran: Badr; 1997: 328. (Persian)
  29. Almasinia A, Roozbahani M, Goodarzi K. The relationship between attachment styles, excitement seeking and self-expression with the addiction tendency of adolescent girls. Proceeding of the 3rd International Conference of Socio-Cultural Studies and Religious Research. Tehran; 2018.
  30. Mirhossami S. [The role of family in the tendency of adolescents and young adults to addiction]. Tehran: Payame Noor University; 2009. (Persian)
  31. Lawshe CH. A quantitative approach to content validity. Pers Psychol 1975; 28(4): 563-75.
  32. Vafaei Z, Najafian J, Shekarchizadeh M, Mostafavi S, Darakhshandeh A, Khosravifarsani M, et al. Validation of a newly developed questionnaire regarding clinical history in patients with breast and colorectal cancers. ARYA Atheroscler 2021; 17(6): 1-10.
  33. Wynd CA, Schmidt B, Schaefer MA. Two quantitative approaches for estimating content validity. West J Nurs Res 2003; 25(5): 508-18.
  34. Myszkowski N. Analysis of an Intelligence Dataset. England: MDPI AG; 2021.
  35. Sanjari S, Kamali A, Amirfakhraei A, Mohammadi Soleimani MR, Afshar EK. Construction and validation of a self-report violence scale in Iranian women. Journal of fundamentals of mental health 2021; 23(3): 181-9.
  36. Sanjari S, Mohammadi Soleimani MR. Validation of the Knowledge Sharing Behavior Scale among Nursing and Midwifery Faculty members in Iran: Psychometric properties and cross-cultural adaptation. Middle East journal of rehabilitation health studies 2024; 11(1): e134886.
  37. Bianchi FP, Stefanizzi P, Afonso A, Tafuri S. Fighting against vaccine hesitancy: An emerging challenge for public health. Switzerland: Frontiers Media SA; 2023.
  38. Miller LA, McIntire SA, Lovler RL. Foundations of psychological testing: A practical approach. California, United States: SAGE; 2011.
  39. Torabi B, Amirfakhrae A, Rezaei Gazaki P, Mohammadi Soleimani MR. [Investigation of factor structure and validation of Ryff’s psychological well-being scale in working children in the corona crisis: A descriptive study]. Journal of Rafsanjan University of Medical Sciences 2022; 21(2): 149-64. (Persian)
  40. Sanjari S, Rafati F, AmirFakhraei A, Mohammadi Soleimani MR, Karimi Afshar E. [Evaluation of factor structure and validation of electronic form of CAQ fear of delivery questionnaire in pregnant women]. Quarterly journal of health psychology 2021; 10(2): 57-70. (Persian)
  41. Andrew DPS, Pedersen PM, McEvoy CD. Research methods and design in sport management. United States: Human Kinetics; 2019.
  42. Wujarso R, Pranadani A, Ismail A. Effect of digital transformation on company operational efficiency. Saudi Arabia: Asadel; 2023.
  43. Suen HK, Ary D. Analyzing quantitative behavioral observation data. United Kingdom: Taylor and Francis; 2014.
  44. Deci EL, Ryan RM. Self-determination theory. International encyclopedia of the social and behavioral sciences 2015; 91: 486-91.
  45. 45. Grant V, Stewart S, O'Connor R, Blackwell E, Conrod P. Psychometric evaluation of the five-factor Modified Drinking Motives Questionnaire- Revised in undergraduates. Addict Behav 2007; 32: 2611-32.
  46. Simons J, Correia CJ, Carey KB, Borsari BE. Validating a five-factor marijuana motives measure: Relations with use, problems, and alcohol motives. J Couns Psychol 1998; 45(3): 265-73.
  47. Jaffe AJ, Kilbey MM. The Cocaine Expectancy Questionnaire (CEQ): Construction and predictive utility. Psychol Assess 1994; 6(1): 18-26.
  48. Asadi S, Bolandhematan K. [The principles of teacher’s ethics: Rethinking ante-narratives of moral life beyond school]. Research in teaching 2018; 6(4): 1-23. (Persian)
  49. Nasseri M, Kaveh F, Rabbani A. [Investigation of how students view religion (a model based on grounded tTheory, case study: Students of University of Isfahan)]. Journal of applied sociology 2017; 27(4): 79-98. (Persian)
  50. Walukevich-Dienst K, Morris PE, Tucker RP, Copeland AL, Buckner JD. Development and initial psychometric properties of the Cannabidiol Outcome Expectancies Questionnaire (CBD-OEQ). Psychol Assess 2022; 34(7): 643-59.
  51. Ghazikhani B, Akbari O, Ghanizade A. [A comparison of women status in Iranian and Italian cultures: A contrastive analysis of Iranian and Italian proverbs]. Research in contemporary world literature 2017; 22(2): 525-50. (Persian)
  52. Namdarian M, Janipoor Robati R. [Investigating the relationship between crime and drug addiction]. Social welfare quarterly 2020; 20: 181-213. (Persian)
  53. Ahadi R, Mohammadi S, Toghranegar H. [Societal factors affecting industrial drugs addiction (case study: Zanjan city)]. Journal of legal research 2022; 21: 315-43. (Persian)
Journal of Fundamentals of Mental Health
Volume 26, Issue 1
January and February 2024
Pages 59-70

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