Volume 21, Issue 5 (10-2018)                   J Arak Uni Med Sci 2018, 21(5): 53-61 | Back to browse issues page

XML Persian Abstract Print

1- Department of Health Psychology, School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran.
2- Department of Clinical Psychology, University of Shahid Beheshti, Tehran, Iran.
3- Department of Psychology, Farabi Campus of University of Tehran, Qom, Iran. , moloudsivandian@ut.ac.ir
4- Department of Counseling, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract:   (385 Views)
Background and Aim: Present study was conducted to investigate the prediction of juvenile delinquency based on individual vulnerability and the risk opportunity in the family, peers, school and neighborhood in high schools in Tehran
Materials and Methods: This is a coss-sectional study. The statistical population of this study included all the female and male students of 20 districts of Tehran who were studying in high school during the academic year 2013-2014. The sample size of the study was 1847 individuals (946 (51.2%) girls and 901 (48.8%) boys). The sampling was performed in a multi-stage cluster method due to the extent of the population, and the participants of this study completed the socio-mental protective and risk factors and behaviors scale. Data were analyzed using multiple regression analysis, stepwise method, and SPSS-24 statistical software.
Findings: Results of present study showed that among predictor variables, risk opportunity/availability (B=0.67, t=13.28, p<0.001), vulnerability/family (B=0.37, t=8.57, p<0.001), and vulnerability/school (B=1.14, t=6.7, p<0.001) have significant prediction effect on adjusted index of adolescents’ delinquent behavior, also adolescent boys do more delinquent behavior than girls (t (1823) =4.82, p<0. 01).
Conclusion: This study showed that the individual vulnerability and risk opportunity in the family, peers, school and neighborhood predict delinquent behavior in adolescents. So, it is necessary to take preventive measures and interventions for this age group, risk factors should be considered at individual, school and family levels.
Full-Text [PDF 1880 kb]   (140 Downloads)    
Type of Study: Original Atricle | Subject: psychology
Received: 2018/01/20 | Accepted: 2018/06/18

1. Murray J, Farrington DP. Risk factors for conduct disorder and delinquency: key findings from longitudinal studies. The Canadian Journal of Psychiatry. 2010; 55(10):633-42.
2. Remschmidt H, Walter R. The long-term outcome of delinquent children: a 30-year follow-up study. Journal of neural transmission. 2010; 117(5):663-77.
3. Huang DY, Lanza HI, Murphy DA, Hser YI. Parallel development of risk behaviors in adolescence: potential pathways to co-occurrence. International journal of behavioral development. 2012; 36(4):247-57.
4. Steinberg L. A social neuroscience perspective on adolescent risk-taking. Developmental review. 2008; 28(1):78-106.
5. Ryan JP, Hong JS, Herz D, Hernandez PM. Kinship foster care and the risk of juvenile delinquency. Children and Youth Services Review. 2010; 32(12):1823-30.
6. Obando D, Trujillo A, Trujillo CA. Substance use and antisocial behavior in adolescents: The role of family and peer-individual risk and protective factors. Substance use & misuse. 2014; 49(14):1934-44.
7. Mosqueda-Díaz A, Carvalho Ferriani MD. Factores protectores y de riesgo familiar relacionados al fenómeno de drogas, presentes en familias de adolescentes tempranos de Valparaíso, Chile. Revista Latino-Americana de Enfermagem. 2011;19.
8. Sharma A. Correlates of juvenile delinquency: the role of family environment and self-esteem. Advances in Asian Social Science. 2012; 4(1):773-7.
9. Khushabi K, Moradi S, Habibi M. Risk and protective factors of drug abuse in high school students. Iranian Journal of Psychiatry & Clinical Psychology. 2012; 17(4).
10. Jessor R, Donovan JE, Costa F. Problem Behavior Theory and Behavioral Health in Adolescence. InProblem Behavior Theory and Adolescent Health 2017 (pp. 449-475). Springer, Cham.
11. Jessor R, Turbin MS. Parsing protection and risk for problem behavior versus pro-social behavior among US and Chinese adolescents. Journal of youth and adolescence. 2014; 43(7):1037-51.
12. Dick DM, Viken R, Purcell S, Kaprio J, Pulkkinen L, Rose RJ. Parental monitoring moderates the importance of genetic and environmental influences on adolescent smoking. Journal of abnormal psychology. 2007; 116(1):213.
13. Henneberger AK, Durkee MI, Truong N, Atkins A, Tolan PH. The longitudinal relationship between peer violence and popularity and delinquency in adolescent boys: Examining effects by family functioning. Journal of youth and adolescence. 2013; 42(11):1651-60.
14. Fleming CB, Catalano RF, Haggerty KP, Abbott RD. Relationships between level and change in family, school, and peer factors during two periods of adolescence and problem behavior at age 19. Journal of youth and adolescence. 2010; 39(6):670-82.
15. Wilson N, Syme SL, Boyce WT, Battistich VA, Selvin S. Adolescent alcohol, tobacco, and marijuana use: the influence of neighborhood disorder and hope. American Journal of Health Promotion. 2005; 20(1):11-9.
16. Fitzgerald R. Parenting, school contexts and violent delinquency. Statistics Canada. 2010.
17. Nocentini A, Menesini E, Salmivalli C. Level and change of bullying behavior during high school: A multilevel growth curve analysis. Journal of adolescence. 2013; 36(3):495-505.
18. Wang B, Deveaux L, Li X, Marshall S, Chen X, Stanton B. The impact of youth, family, peer and neighborhood risk factors on developmental trajectories of risk involvement from early through middle adolescence. Social Science & Medicine. 2014; 106:43-52.
19. Burrington LA. Neighborhood structure, immigrant status, and youth violence: Assessing the role of parental supervision. Youth Violence and Juvenile Justice. 2015; 13(4):367-90.
20. Elliott DS, Menard S, Rankin B, Elliott A, Wilson WJ, Huizinga D. Good kids from bad neighborhoods: Successful development in social context. Cambridge University Press; 2006.
21. Liljeberg JF, Eklund JM, Fritz MV, af Klinteberg B. Poor school bonding and delinquency over time: Bidirectional effects and sex differences. Journal of Adolescence. 2011; 34(1):1-9.
22. Hirschfield PJ, Gasper J. The relationship between school engagement and delinquency in late childhood and early adolescence. Journal of Youth and Adolescence. 2011; 40(1):3-22.
23. Li Y, Zhang W, Liu J, Arbeit MR, Schwartz SJ, Bowers EP, Lerner RM. The role of school engagement in preventing adolescent delinquency and substance use: A survival analysis. Journal of Adolescence. 2011; 34(6):1181-92.
24. Haynie DL, Doogan NJ, Soller B. Gender, friendship networks, and delinquency: A dynamic network approach. Criminology. 2014; 52(4):688-722.
25. Akers RL. Deviant Behavior: A Social Learning. Approach. Belmont, CA: Wadsworth. 1977. An upper level text written from a cultural transmission perspective. Evaluates major theories of deviance and examines a wide variety of deviant activities. 1973.
26. Giordano PC, Cernkovich SA, Holland DD. Changes in friendship relations over the life course: Implications for desistance from crime. Criminology. 2003; 41(2):293-328.
27. Wang B, Deveaux L, Li X, Marshall S, Chen X, Stanton B. The impact of youth, family, peer and neighborhood risk factors on developmental trajectories of risk involvement from early through middle adolescence. Social Science & Medicine. 2014; 106:43-52.
28. Measelle JR, Stice E, Hogansen JM. Developmental trajectories of co-occurring depressive, eating, antisocial, and substance abuse problems in female adolescents. Journal of abnormal psychology. 2006; 115(3):524.
29. Hooshmand S, Willoughby T, Good M. Does the direction of effects in the association between depressive symptoms and health-risk behaviors differ by behavior? A longitudinal study across the high school years. Journal of Adolescent Health. 2012; 50(2):140-7.
30. Baldwin SA, Christian S, Berkeljon A, Shadish WR. The effects of family therapies for adolescent delinquency and substance abuse: A meta‐analysis. Journal of marital and family therapy. 2012; 38(1): 281-304.