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Anbari A, Akbari B, Sadeghi A, Mafi M. Structural Relationships Between Family Functioning and Adolescents' High-Risk Behaviors With the Mediating Role of the Quality of School Life. MEJDS 2022; 12 :131-131
URL: http://jdisabilstud.org/article-1-2873-en.html
1- PhD Student in General Psychology, Rasht Branch, Islamic Azad University, Rasht, Iran
2- Professor, Department of Psychology, Rasht Branch, Islamic Azad University, Rasht, Iran
3- Associate Professor, Department of Psychology, Guilan University, Rasht, Iran
4- Associate Professor, Department of Clinical Psychology, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Abstract:   (1302 Views)

Background & Objectives: Adolescence is an important stage in the social and psychological growth and development of every person. Adolescence is associated with high–risk behaviors and has adverse effects on the health of the individual and society. Various biological, cognitive, social, and family factors are behind the occurrence of high–risk behaviors in teenagers. One of the important components in the formation of high–risk behaviors is the functioning of the family. In the past few years, the quality of school life has been emphasized due to its importance in the mental health and academic progress of students. The quality of life in the school and the overall satisfaction of the students from the school are formed from the activities inside the school. The aim of the current research was to determine the structural model of the relationship between family functioning and high–risk behaviors of second–year high school teenagers with the mediating role of quality of life at school.
Methods: The current research method was analytical and correlational based on structural equation modeling. The statistical population included male and female students of Qazvin Province (Iran) secondary schools in the 2019–2020 academic year. The sample was selected using the cluster sampling method. In this research, a sample of 900 students was selected. Three standard scales were used to collect data: the Iranian Adolescents Risk–Taking Scale (Zadeh Mohammadi et al., 2011), the Risk and Protective Factors Scale (Mohammad Khani, 2008), and Quality of School Life Scale (Soltani Shal et al., 2011). Data analysis was done using descriptive and inferential statistical methods (The Pearson correlation coefficient and structural equation modeling) using SPSS software and AMOS software version 24 and the maximum likelihood estimation method. The evaluation of the model fit index and coefficients of all paths was done. The significance level of statistical tests was considered 0.01.
Results: Results showed that the direct path coefficient between family functioning and high–risk behaviors was significant and negative (p<0.001, β=–0.43). The coefficient of the direct path of family functioning with quality of life at school was significant and positive (p<0.001, β=0.55). The coefficient of the direct path of quality of life in school with high–risk behaviors was significant and negative (p<0.001, β=–0.36). The indirect path coefficient of family functioning with high–risk behaviors was significant and negative (p<0.001, β=–0.195). Finally, the total path coefficient between family functioning and high–risk behaviors was significant (p<0.001, β=–0.628). Quality of school life mediates between family functioning and risky behaviors. Goodness of fit indices showed that the model has good fit (RMSEA=0.056, X2/df=2.58, CFI=0.97, GFI=0.96, AGFI=0.93). The structural model of explaining high–risk behaviors based on family functioning has a good fit with the mediating role of quality of life in school.
Conclusion: Based on the findings of this research, the functioning of the family with the mediating role of the quality of life at school explains the high–risk behaviors of adolescents. The indicators for determining the fit of the model have a good fit. According to the relationships between the variables in the extracted model, to prevent high–risk behaviors, appropriate applications should be designed and necessary measures should be taken.

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Type of Study: Original Research Article | Subject: Psychology

References
1. Panahi R, Ramezankhani A, Tavousi M. Health literacy and preventive behaviors. J Research Health. 2018;8(2):93–4. [Persian] [DOI]
2. Olyani S, Tehrani H, Esmaily H, Rezaii MM, Vahedian-shahroodi M. Assessment of health literacy with the Newest Vital Sign and its correlation with body mass index in female adolescent students. Int J Adolesc Med Health. 2020;32(2)20170103. [DOI]
3. Pfaff N, Pantell MS, Kaiser SV. High-risk behavior screening and interventions in hospitalized adolescents. Hospital Pediatrics. 2021;11(3):293–7. [DOI]
4. Zargham Hajebi M, Pourabdol S, Saravani Sh. A comparison of motivational self-regulation and high-risk behaviors in students suffering from attention deficit/hyperactivity disorder (ADHD) and normal students. J Shahrekord Univ Med Sci. 2016;18(3):87–97. [Persian] [Article]
5. Rashid Kh. Epidemiology of high-risk behaviors among Tehran adolescent girls and Boys. Social Welfare Quarterly. 2015;15(57):31–55. [Persian] [Article]
6. Alizadekgani F, Akhavan Tafti M, Khademi M. Investigating the causes of tendency to risky behaviors in male high school students in Tehran. Journal of Social Order. 2017;9(2):103–28. [Persian]
7. Stoltz S, Van Londen M, Deković M, Prinzie P, de Castro BO, Lochman JE. Simultaneously testing parenting and social cognitions in children at-risk for aggressive behavior problems: sex differences and ethnic similarities. J Child Fam Stud. 2013;22(7):922–31. [DOI]
8. Santos S, Crespo C, Canavarro MC, Kazak AE. Parents’ romantic attachment predicts family ritual meaning and family cohesion among parents and their children with cancer. Journal of Pediatric Psychology. 2017;42(1):114–24. [DOI]
9. Sharma M, Joshi HL. Role of family environment and parenting style in adjustment among male adolescents. Int J Curr Res Acad. 2015;3:252–63.
10. Darghahi Sh, Ayadi N, Shakarami M, Ghasemzade A. Relationship between parental monitoring and companionship with delinquent peers in high risk behaviors of single-parent adolescents. Nasim Health Quarterly. 2014;2(4):1–8. [Persian] [Article]
11. Karshaky H, Momeni Mahmouei H, Qureishi B. Comparison of educational motivation and quality of life of male students, subjected to descriptive evaluation with the traditional evaluation. Research in Curriculum Planning. 2014;11(13):104–14. [Persian] [Article]
12. Bakas T, McLennon SM, Carpenter JS, Buelow JM, Otte JL, Hanna KM, et al. Systematic review of health-related quality of life models. Health Qual Life Outcomes. 2012;10(1):134. [DOI]
13. Soltani Shal R, Karshki H, Aghamohammadian Sharbaf HR, Abdekhodaee MS, Bafandeh H. Evaluation of validity and reliability of the Quality of School Life Questionnaire in schools in Mashhad schools. Journal of Kerman University of Medical Sciences. 2011;19(1):71–93. [Persian]
14. Brown SC, Flavin K, Kaupert S, Tapia M, Prado G, Hirama I, et al. The role of settings in family based prevention of HIV/STDs. In: Pequegnat W, Bell CC; editors. Family and HIV/AIDS. New York, NY: Springer; 2012. [DOI]
15. Ghodraty S, Taklavi S. Prediction of suicidal thoughts based on emotional failure and attachment styles among university students. J Ardabil Univ Med Sci. 2019;19(2):204–15. [Persian] [Article]
16. Raykov T, Marcoulides GA. A first course in structural equation modeling. Second edition. Routledge; 2006.
17. Zadeh Mohammadi A, Ahmadabadi Z, Heidari M. Construction and assessment of psychometric features of Iranian Adolescents Risk-Taking Scale. Iranian Journal of Psychiatry and Clinical Psychology. 2011;17(3):218–25. [Persian] [Article]
18. Mohammad Khani S. Risk and protective factors of alcohol, tobacco and other illicit drugs used among 13 to 18 years-old adolescents. Educational Psychology. 2008;4(12):38–69. [Persian] [Article]
19. Kline RB. Principles and practice of structural equation modeling. Guilford Press; 2015.
20. Meyers LS, Gamst GC, Guarino AJ. Applied multivariate research: design and interpretation. Third edition. London: Sage Pub; 2016.

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