Volume 24, Issue 8 (11-2025)
JRUMS 2025, 24(8): 727-742 |
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Ethics code: IR.IAU.ARDABIL.REC.1404.096
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Samadi E, Ahmadi S. Structural Relationship Pattern of Family Functioning and Propensity for Tendency Toward High-Risk Behaviors with the Mediating Role of Emotional Schemas in Male Students: A Descriptive Study. JRUMS 2025; 24 (8) :727-742
URL: http://journal.rums.ac.ir/article-1-7794-en.html
URL: http://journal.rums.ac.ir/article-1-7794-en.html
Assistant Professor, Dept, of Educational Sciences, Faculty of Literature and Humanities, Hakim Sabzevari University, Sabzevar, Iran
Abstract: (22 Views)
Background and Objectives: Adolescence is one of the most sensitive periods of development that makes an individual susceptible to risky behaviors. Meanwhile, family functioning and emotional schemas play an important role in the formation or prevention of these behaviors. The present study was conducted with the aim of determining the structural relationship pattern of family functioning and the tendency toward high-risk behaviors, with the mediating role of emotional schemas, among male students.
Materials and Methods: The present study employed a descriptive-correlational design within the framework of structural equation modeling (SEM). The statistical population consisted of all male students in the senior public high schools in Karaj during the 2024-2025 academic year. A total of 211 students were selected through cluster random sampling and responded to standardized scales measuring the tendency toward tigh-risk behaviors, family functioning, and emotional schemas. Structural equation modeling (SEM) was employed for the analysis of the collected data.
Results: The results of structural equation modeling indicated that family functioning had a significant negative direct effect on risky behaviors (β=-0.37; p<0.001) and emotional schemas (β=-0.65; p<0.001). In addition, the indirect effect of family functioning on risky behaviors through emotional schemas was also significant (β=-0.28; p<0.001).
Conclusion: The findings of this study revealed that family functioning influences adolescent's risky behaviors both directly and indirectly through emotional schemas, and that emotional schemas are significant predictors of such behaviors. Accordingly strengthening adolescent's emotional skills, educating parents, and enhancing school counselor's awareness can play an effective role in reducing risky behaviors and promoting adolescent's mental health.
Keywords: High-risk behavior tendency, Family functioning, Emotional schemas, Adolescents, Karaj
Funding: This study did not have any funds.
Conflict of interest: None declared.
Ethical considerations: The Ethics Committee of Islamic Azad University, Ardabil Brench, approved the study (IR.IAU.ARDABIL.REC.1404.096).
Authors’ contributions:
- Conceptualization: Shirin Ahmadi
- Methodology: Shirin Ahmadi
- Data collection: Elahe Samadi
- Formal analysis: Shirin Ahmadi
- Supervision: Shirin Ahmadi
- Project administration: Shirin Ahmadi
- Writing- original draft: Elahe Samadi, Shirin Ahmadi
- Writing – review & editing: Shirin Ahmadi
Materials and Methods: The present study employed a descriptive-correlational design within the framework of structural equation modeling (SEM). The statistical population consisted of all male students in the senior public high schools in Karaj during the 2024-2025 academic year. A total of 211 students were selected through cluster random sampling and responded to standardized scales measuring the tendency toward tigh-risk behaviors, family functioning, and emotional schemas. Structural equation modeling (SEM) was employed for the analysis of the collected data.
Results: The results of structural equation modeling indicated that family functioning had a significant negative direct effect on risky behaviors (β=-0.37; p<0.001) and emotional schemas (β=-0.65; p<0.001). In addition, the indirect effect of family functioning on risky behaviors through emotional schemas was also significant (β=-0.28; p<0.001).
Conclusion: The findings of this study revealed that family functioning influences adolescent's risky behaviors both directly and indirectly through emotional schemas, and that emotional schemas are significant predictors of such behaviors. Accordingly strengthening adolescent's emotional skills, educating parents, and enhancing school counselor's awareness can play an effective role in reducing risky behaviors and promoting adolescent's mental health.
Keywords: High-risk behavior tendency, Family functioning, Emotional schemas, Adolescents, Karaj
Funding: This study did not have any funds.
Conflict of interest: None declared.
Ethical considerations: The Ethics Committee of Islamic Azad University, Ardabil Brench, approved the study (IR.IAU.ARDABIL.REC.1404.096).
Authors’ contributions:
- Conceptualization: Shirin Ahmadi
- Methodology: Shirin Ahmadi
- Data collection: Elahe Samadi
- Formal analysis: Shirin Ahmadi
- Supervision: Shirin Ahmadi
- Project administration: Shirin Ahmadi
- Writing- original draft: Elahe Samadi, Shirin Ahmadi
- Writing – review & editing: Shirin Ahmadi
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Citation: Samadi E, Ahmadi Sh. Structural Relationship Pattern of Family Functioning and Propensity for Tendency Toward High-Risk Behaviors with the Mediating Role of Emotional Schemas in Male Students: A Descriptive Study. J Rafsanjan Univ Med Sci 2025; 24 (8): 727-42. [Farsi]
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Type of Study: Research |
Subject:
Psychiatry
Received: 2025/08/2 | Accepted: 2025/10/12 | Published: 2025/11/19
Received: 2025/08/2 | Accepted: 2025/10/12 | Published: 2025/11/19
References
1. Partap U, Assefa N, Berhane Y, Sie A, Guwatudde D, Killewo J, et al. The influence of depressive symptoms and school-going status on risky behaviors: a pooled analysis among adolescents in six sub-Saharan African countries. FPSYT 2023; 14(1): 1-9.
2. Okoh OF, Batur DS, Ogwuche AO, Fadeke AA, Adeyeye Y. The Influence of Digital Health Literacy Education on Adolescent Risk Behaviors: A Cross-Cultural Study of Japan and Uruguay. Int J Adv Res 2025; 2(1): 49-66.
3. An X, Liu Z, Zhang L, Zhao J, Gu Q, Han W, et al. Co-occurrence patterns and related risk factors of ischaemic heart disease and ischaemic stroke across 203 countries and territories: a spatial correspondence and systematic analysis. Lancet Glob Heal 2025; 13(5): 808-19.
4. Wijbenga L, de Winter AF, Almansa J, Vollebergh WA, Korevaar EL, Hofstra J, et al. Multiple health risk behaviors and mental health from a life course perspective: The Dutch TRAILS study. Prev Med 2022; 154(1): 1-8.
5. Ortiz C, López-Cuadrado T, Ayuso-Álvarez A, Rodríguez-Blázquez C, Galán I. Co-occurrence of behavioural risk factors for non-communicable diseases and mortality risk in Spain: a population-based cohort study. BMJ 2025; 15(1): 1-9.
6. Esmaeili ED, Ghaffari A, Kalankesh LR, Zeinalzadeh AH, Dastgiri S. The prevalence of the co-occurrence of risky behaviors and association with socioeconomic status in Iran: a latent class analysis. BMC Public Health 2025; 25(1): 1728-36. [Farsi]
7. Bommersbach TJ, Olfson M, Rhee TG. Trends in depressive symptoms among high school students with and without health-risk behaviors in the United States: A population-based study. Lancet Reg Health Am The 2025; 23(1): 42-59.
8. Okumuş HG, Kaşak M, Çelik YS, Menderes ASY, Sivri İY, Temeltürk RD, et al. Family Functioning and Parenting Styles in Adolescents Diagnosed with Trichotillomania. Hum Dev 2025: 1(1): 1-12.
9. Izzo F, Baiocco R, Pistella J. Children’s and adolescents’ happiness and family functioning: a systematic literature review. Int J Environ Res Public Health 2022; 19(24): 16593-621.
10. Lin H, Huang Q-K, Tong S-L. Effects of family function and stress feeling on the mental health of adolescents. J Child Health Care 2022; 30(12): 1380-5.
11. Oltean II, Perlman C, Meyer S, Ferro MA. Child mental illness and mental health service use: Role of family functioning (family functioning and child mental health). J Child Fam 2020; 29(9): 2602-13.
12. Lan X. Machiavellianism and family functioning in the link between peer attachment insecurity and adolescent problem behaviors: insights from a multi-method three-study design. Curr Psychol 2025; 44(3): 1856-73.
13. Peng S, Peng Y. Family Function and Problematic Social Media Use Among Adolescents in Vocational Schools: A Moderated Mediation Model. J Psychol 2025; 159(1): 56-69.
14. Makas S, Koç M. The mediating effect of emotional schemas in the relationship between online gaming addiction and life satisfaction. Sci Rep 2025; 15(1): 430-42.
15. Leahy RL. A model of emotional schemas. Behav Pract 2002; 9(3): 177-90.
16. Leahy RL. Emotional schema therapy: Distinctive features: Routledge; 2018. 40
17. Bekir S, Celik E. An Investigation of Online Gaming Addiction Level among University Students in Terms of Emotional Schemas, Agentic Personality, and Various Variables. Malays Online J Educ Technol 2020; 8(3): 25-40.
18. Xiang Y, Yuan R, Zhao J. Childhood maltreatment and life satisfaction in adulthood: The mediating effect of emotional intelligence, positive affect and negative affect. J Health Psychol 2021; 26(13): 2460-2469.
19. Ionaşcu G, Glavan A, Robu V. Relationship between emotional instability and risk of alcohol abuse among adolescents: The moderating role of predisposition to engage in risky behaviors. EcoSoEn 2023(1): 43-59.
20. Saarijärvi P, Salmivalli C, Helmi S, Karukivi M. Early maladaptive schemas are associated with self-injury thoughts and behavior in adolescents. BMC psychiatry 2023; 23(1): 632-48.
21. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis (7th Edn Pearson new international edition). Harlow, Essex: Pearson Education. 2014. 22
22. Zadeh Mohammadi A, Ahmad Abadi Z. Risk-taking Behaviors among Adolescents: the Strategies to Prediction Crimes Commitment. J Fam Res 2009; 5(4): 468-85. [Farsi]
23. Gullone E, Moore S. Adolescent risk-taking and the five-factor model of personality. J Adolesc 2000; 23(4): 393-407.
24. Brener ND, Eaton D, Flint K, Hawkins J, Kann L, Kinchen S, et al. Methodology of the youth risk behavior surveillance system-2013. MMWR 2004; 62(1): 1-20.
25. Epstein NB, Baldwin LM, Bishop DS. The McMaster family assessment device. JMFT 1983; 9(2): 171-80.
26. Cong CW, Tan SA, Nainee S, Tan C-S. Psychometric qualities of the McMaster family assessment device–general functioning subscale for Malaysian samples. IJERPH 2022; 19(4): 2440.
27. ZadehMohammadi A, MalekKhosravi Gh. Preliminary study of the psychometric properties and validation of the Family Assessment Device (FAD). JFRS 2006; 2(1): 70-89. [Farsi]
28. Khanzadeh M, Idrisi F, Mohammadkhani S, Saeedian M. Investigating the factor structure and psychometric properties of the Emotional Schemas Scale. J Clin Psychol 2013; 3(11): 91-119. [Farsi]
29. Fauzi MA. Partial Least Square Structural Equation Modelling (PLS-SEM) in Knowledge Management Studies: Knowledge Sharing in Virtual Communities. KM&EL 2022; 14(1): 103-24.
30. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. JMR 1981; 18(1): 39-50.
31. Purwanto A, Sudargini Y. Partial least squares structural squation modeling (PLS-SEM) analysis for social and management research: a literature review. JIEMAR 2021; 2(4): 114-23.
32. Olson DH. Circumplex model of marital and family systems. J FamTher 2000; 22(2): 144-67.
33. Sale E, Sambrano S, Springer JF, Turner CW. Risk, protection, and substance use in adolescents: a multi-site model. J Drug Educ 2003; 33(1): 91-105.
34. Šćepović D. Functionality of family and children in relation to gender, age and emotional abilities of children and family structure. J Educ Res 2017; 10(2): 101-14.
35. Roscoe J, Taylor J. Maladaptive therapist schemas in CBT practice, training and supervision: A scoping review. J Clin Psychol Psychother 2023; 30(3): 510-27.
36.
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