Predicting the Tendency to High-Risk Behavior based on Psychological Helplessness and Distress Tolerance in Delinquent Adolescents

Behnam Nazemzadeh; Sadrolah Tayebi; Marjan Maleki Rostamabadi; Hamid Reza Akbari; Farhad Namjoo

doi:10.61838/kman.jayps.1.1.21

Authors

Behnam Nazemzadeh M.A of Sociology, Yasouj University, Iran Author https://orcid.org/0000-0002-9477-1070
Sadrolah Tayebi Expert in charge of education of the Department of Exceptional Education, Kohgiluyeh and Boyerahmad, Iran Author https://orcid.org/0000-0003-2649-8305
Marjan Maleki Rostamabadi M.A of Family Counseling, Estahban Branch, Islamic Azad University, Estahban, Iran Author https://orcid.org/0000-0001-9832-7383
Hamid Reza Akbari Master of Family Counseling, Hormozgan University, Iran Author https://orcid.org/0000-0002-1419-8631
Farhad Namjoo PhD in Family Counseling, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran Author https://orcid.org/0000-0002-7416-4265

DOI:

https://doi.org/10.61838/kman.jayps.1.1.21

Keywords:

High-risk behavior, Distress tolerance, Psychological helplessness, Delinquent adolescents

Abstract

Background and Aim: Adolescent delinquency is a major problem of many societies, causing great concern of various institutions due to damages and losses on the lives of victims and delinquents and society on a larger scale. Therefore, the present study aimed to predict the tendency to high-risk behaviors based on psychological helplessness and distress tolerance in delinquent adolescents. Method: The present study had a descriptive and correlational design, and its statistical population consisted of all delinquent adolescents at the juvenile detention center of Shiraz in 2021. Among the statistical population, 100 delinquent adolescents were studied and selected by purposive sampling. The Adolescent Risk-Taking Questionnaire (ARQ), The Depression, Anxiety and Stress Scale- 21 Items (DASS-21), and Distress Tolerance Scale (DTS) were used to collect data. After collecting and extracting data, participants' scores were analyzed using Pearson correlation coefficient, and multiple regression analysis. Results: The results indicated a significant positive correlation between psychological helplessness and high-risk behaviors in delinquent adolescents (P=0.01). There was a significant negative correlation between distress tolerance and tendency to high-risk behavior in delinquent adolescents (P=0.01). The results also indicated that psychological distress with a beta coefficient of 0.14 and distress tolerance with a beta coefficient of -0.17 could predict high-risk behavior in adolescents (P=0.01). Conclusion: Psychological helplessness and distress tolerance could predict the tendency to high-risk behavior in delinquent adolescents

Downloads

Download data is not yet available.

References

Aghayusefi, A., Oraki, M., & Mohammadi, R. (2015). The Relationship between the Brain Behavioral Inhibition and Activation Systems (BIS/BAS) with Decision Making Styles: The Moderating Effect of Handedness. Neuropsychology, 1(2), 17–31. [Persian].

Almy, B., Kuskowski, M., Malone, S. M., Myers, E., & Luciana, M. (2018). A longitudinal analysis of adolescent decision-making with the Iowa Gambling Task. Developmental Psychology, 54(4), 689.

Alimoradi, A. (2011). Brain, behavior, and mental health in substance-dependent individuals in comparison to healthy controls. Journal of Fundamentals of Mental Health, 13(52), 13–304. [Persian].

Charles, R. (2001). Is there any empirical support for Bowen's concepts of differentiation of self, triangulation, and fusion? American Journal of Family Therapy, 29(4), 279–292.

Delazer, M., Zamarian, L., Bonatti, E., Walser, N., Kuchukhidze, G., Bonder, T., Benke, T., et al. (2011). Decision making under ambiguity in temporal lobe epilepsy: Does the location of the underlying structural abnormality matter? Epilepsy & Behavior, 20(1), 34–37.

Didehdar Ardabil, M. (2012). Investigating the brain-behavioral systems and stress coping styles in patients with diabetes. Mazandaran Health Promotion Conference, Mazandaran University of Medical Sciences. [Persian].

Drake, J. R., Murdock, N. L., Marszalek, J. M., & Barber, C. E. (2015). Differentiation of Self Inventory—Short Form: Development and preliminary validation. Contemporary Family Therapy, 37(2), 101–112.

Fakhari, N., Latifian, M., & Etemd, J. (2014). A Study of Psychometric Properties of the Executive Skills Scale for Pre-School Children (Parent Form). Quarterly of Educational Measurement, 4(15), 35–58. [Persian].

Franken, I. H., & Muris, P. (2006). BIS/BAS personality characteristics and college students' substance use. Personality and Individual Differences, 40(7), 1497–1503.

Khaliqkhah, M. (2011). The relationship between the types of decision-making methods and organizational intelligence in the Education Department of Dashtestan City. Master's thesis, Faculty of Literature and Humanities, Payam Noor University, Fars Province. [Persian].

Khodaei Valahzaghard, M., & Rostami Noroozabad, M. (2016). Decision Reactivity of Investors to the Quality of Stocks e-Purchasing. BI Management Studies, 4(16), 35–61. [Persian].

Kim, D. Y., & Lee, J. H. (2011). Effects of the BAS and BIS on decision-making in a gambling task. Personality and Individual Differences, 50(7), 1131–1135.

MacLaren, V. V., Fugelsang, J. A., Harrigan, K. A., & Dixon, M. J. (2012). Effects of impulsivity, reinforcement sensitivity, and cognitive style on pathological gambling symptoms among frequent slot machine players. Personality and Individual Differences, 52(3), 390–394.

McDougall, J., Baldwin, P., Evans, J., Nichols, M., Etherington, N., & Wright, V. (2016). Quality of life and self-determination: Youth with chronic health conditions make the connection. Applied Research in Quality of Life, 11(2), 571–599.

Mirzaei, M. (2015). Comparison of brain-behavioral systems and identity styles in people with gender identity disorder and normal people. Master's thesis, Islamic Azad University, Central Tehran Branch.

Rezaei, M., & Ardeshir, D. (2012). Deciding to invest in the stock market according to the role of stock price evaluation. The Second International Conference on Management and Information and Communication Technology, Tehran. [Persian].

Penolazzi, B., Leone, L., & Russo, P. M. (2013). Individual differences and decision making: When the lure effect of gain is a matter of size. PLoS ONE, 8(3), e58946.

Scott, S. G., & Bruce, R. A. (1995). Decision-making style: The development and assessment of a new measure. Educational and Psychological Measurement, 55(5), 818–831.

Spunt, R. P., Rassin, E., & Epstein, L. M. (2009). Aversive and avoidant indecisiveness: Roles for regret proneness, maximization, and BIS/BAS sensitivities. Personality and Individual Differences, 47(4), 256–261.

Tehrani, R., & Najafzadeh Khoei, S. (2017). Investigating the impact of inflation uncertainty on the capital structure of companies listed on the Tehran Stock Exchange. Financial Economics, 11(38), 1–20. [Persian].

Vadiei, M. H., & Shokouhi Zadeh, M. (2012). Effective Criteria on Investor's Decision Making in Tehran Stock Exchange. Journal of Accounting Knowledge, 3(8), 151–171. [Persian].

Zarei, M., & Pirani, Z. (2015). Prediction of Decision-Making Style Based on Differentiation of Self and Emotion Regulation in Teenage Girls. Quarterly Journal of Health Breeze, 4(1), 10–18. [Persian].