Iran J Psychiatry Behav Sci

Image Credit:Iran J Psychiatry Behav Sci

Defense Mechanisms and Risky Behaviors Among College Students: The Mediating Role of Self-esteem

Author(s):
Mansoureh BehzadinejadMansoureh Behzadinejad1, Somaye RobatmiliSomaye RobatmiliSomaye Robatmili ORCID2,*, Hamid KhanipourHamid KhanipourHamid Khanipour ORCID3
1Department of Management, Saveh Branch, Islamic Azad University, Saveh, Iran
2Faculty of Governance, University of Tehran, Tehran, Iran
3Institute for Educational, Psychological and Social Research, Kharazmi University, Tehran, Iran

IJ Psychiatry and Behavioral Sciences:Vol. In Press, issue In Press; e160721
Published online:Dec 24, 2025
Article type:Research Article
Received:Feb 22, 2025
Accepted:Dec 19, 2025
How to Cite:Behzadinejad M, Robatmili S, Khanipour H. Defense Mechanisms and Risky Behaviors Among College Students: The Mediating Role of Self-esteem.Iran J Psychiatry Behav Sci.2025;In Press(In Press):e160721.https://doi.org/10.5812/ijpbs-160721.

Abstract

Background:

Risky behaviors among college students have been considered a major problem in every country.

Objectives:

The aim of this study was to investigate how defense mechanisms and self-esteem could explain risk-taking behaviors among college students.

Methods:

This is an analytic study with a correlation design. Participants were 410 undergraduate students aged 18 to 24 from universities across Tehran during the academic year 2023 - 2024 (female = 250, male = 160). The Defense Styles Questionnaire, the Risk-Taking Scale, and the Rosenberg Self-Esteem Scale were used for data collection.

Results:

Structural equation modeling validated the proposed model, demonstrating that defense mechanisms predict risky behaviors both directly and indirectly through self-esteem (Chisq/df = 2.08; CFI > 0.9; AGFI > 0.8; RMSEA < 0.08). The results of the study revealed that immature and neurotic defense mechanisms were linked to a higher likelihood of engaging in risky behaviors (P < 0.05). Additionally, self-esteem functions as the psychological mechanism that mediates the connection between defense mechanisms and the tendency towards risky behavior. Notably, the association between mature defense mechanisms and risky behavior was found to be non-significant.

Conclusions:

It appears that self-esteem functions as a trans-diagnostic construct, offering predictive insights into risky behaviors that extend beyond the influence of defense mechanisms alone. Even with mature defense mechanisms, students may still engage in risky behaviors. The findings of this study are confined to the group of students and, due to its cross-sectional nature in establishing causality, are not comprehensive.

1. Background

Risky behaviors can include a wide range of activities, such as smoking, alcohol and drug use, unprotected sexual practices, aggression, self-harm, suicide, and reckless driving (1). The prevalence of risky behaviors is notably higher among college students due to various biological, psychological, and social factors (2, 3). Smoking, using hookah, and suicide ideation have been identified as the most common risky activities among university students in Iran (4). Some theories attribute these actions to the underdevelopment of the brain's lobes, while others suggest that they stem from peer influence and modeling (2). One of the psychological processes that, according to the ego psychology framework (5), can predict the likelihood of risky behavior in various personalities is the ego's defense mechanisms. According to the ego psychology framework, defense mechanisms are defined as unconscious and semi-conscious strategies that individuals employ to manage distressing emotions, distort reality, and cope with various life stresses (5). These mechanisms are categorized into three groups: Neurotic mechanisms such as projection, immature mechanisms like acting out, and mature mechanisms including sublimation and humor (6). In contrast to mature defenses, the primary aim of immature defenses is to avoid experiencing uncomfortable emotions (7). Prior research has demonstrated that defense mechanisms exhibit varying associations with different mental disorders (8-10). For example, in the context of depression, mechanisms like identification and internalization are notably prevalent (9), whereas in obsessive-compulsive disorder, the mechanism of reaction formation holds greater significance (10). In the context of antisocial behaviors, acting out and projection play a more pronounced role (11-13). Prior research concerning risky behaviors, including reckless motorcycle operation (14), alcohol consumption (15), substance abuse (16), and unprotected sexual encounters (17), has demonstrated that immature mechanisms and neurotic defensive mechanisms serve as substantial risk factors for both the onset and continuation of these behaviors. Although there is substantial evidence indicating that defense mechanisms can predict risky behaviors (14-20), alternative psychological frameworks propose that the connection between these mechanisms and risky behaviors is influenced by a range of other personality factors, such as health beliefs and self-esteem (21-23). Self-esteem is defined as an individual's evaluation and judgment of their own worth and self-acceptance (24). The findings concerning the influence of self-esteem on risky behaviors are inconclusive (24, 25). Numerous studies have established a correlation between high self-esteem and a reduced likelihood of engaging in risky behaviors (26, 27). Conversely, certain research outcomes suggest that self-esteem may not serve as an effective deterrent against behaviors associated with legal violations, aggression, and delinquency; rather, it could potentially exacerbate the inclination towards such behaviors under particular circumstances (25, 28). The examination of the connections among self-esteem, defense mechanisms, and risky behavior is justified for various reasons. Notably, self-esteem is inherently linked to self-assessment and self-concept, which are significantly influenced by defense mechanisms (24). Second, individuals who depend on less mature defense mechanisms are prone to receiving negative feedback from their social environment, which can lead to a decline in their self-esteem (24). Consequently, these individuals might resort to maladaptive behaviors and risky actions as a means to reshape their identity and manage the negative self-perception that has emerged (29, 30). For reaching a more integrative theoretical framework, we applied a hybrid theoretical model with the ego psychology framework and cognitive behavioral factors as mediators (5). Furthermore, a burgeoning area in the etiology of risky behaviors involves finding trans-diagnostic factors, which refers to factors that can predict individual differences in engaging in risky behaviors or mental disorders, independent of specific theories (31, 32). It appears that self-esteem may function as a trans-diagnostic factor that could more accurately forecast risky behavior than the concept of defense mechanisms, which are predominantly shaped by psychoanalytic theories. Previous studies have indicated that self-esteem can serve as a trans-diagnostic element that connects different risk factors to risky behaviors (33, 34).

2. Objectives

The aim of this study was to investigate how defense mechanisms and self-esteem could explain risk-taking behaviors among college students. The conceptual framework of the study is illustrated in Figure 1.

The conceptual model for predicting risky behaviors based on defense mechanisms and self-esteem
Figure 1.

The conceptual model for predicting risky behaviors based on defense mechanisms and self-esteem

3. Methods

This research design was of a survey and correlational nature, with data collected cross-sectionally, utilizing self-report scales for data gathering. The target population consisted of undergraduate students aged 18 to 24 from Azad universities in Tehran during the academic year 2023 - 2024. To determine the sample size, the recommended formula for sample size calculation in structural equation modeling research was employed (35). Considering the potential for data attrition, the final sample size was adjusted to 410 participants. Sampling was conducted using a convenience method. The inclusion criteria included being enrolled in a university, an age range of 18 to 24 years, and the absence of any mental illness that could interfere with responding to the research questions.

3.1. Data Analysis

For data analysis, descriptive statistics, Pearson correlation, structural equation modeling, and path analysis were employed. The structural equation modeling and path analysis were conducted using the maximum likelihood method and the bootstrap method. Additionally, SPSS and AMOS16 software were utilized to perform the analyses.

3.2. The Defensive Styles Questionnaire

This questionnaire was developed to assess defensive styles in individuals (36). This instrument consists of 40 items and evaluates three styles of defensive mechanisms: mature, neurotic, and immature. The Cronbach's alpha for the Persian version and English version of this scale were reported ranging from 0.75 to 0.85, and test-retest reliability coefficients were between 0.56 and 0.71 over an 18-day period for all three factors (37, 38).

3.3. The Rosenberg Self-esteem Scale

This scale is constructed for assessing global self-esteem (39). The convergent validity of this scale has been examined in relation to various dimensions of self-concept, including academic, social, emotional, familial, and physical aspects, revealing a correlation ranging from 0.28 to 0.50 (35). The reliability of the Persian form of the Rosenberg Self-Esteem Scale was assessed among university students and was found to be satisfactory (40).

3.4. Risk-Taking Behaviors Scale

This instrument comprises 38 closed-ended items, employing a five-point Likert scale to evaluate 38 distinct types of risk-taking behaviors (41). The assessment encompasses multiple dimensions, such as hazardous driving, aggression, smoking, substance use, alcohol intake, friendships with individuals of the opposite sex, interpersonal relationships, and sexual conduct. This scale is based on a native study regarding risky behaviors within an Iranian sample, and the findings possess cultural validity and reliability (41).

4. Results

4.1. Data Description

Participants were within the age range of 18 to 24 years, with 79 individuals (19.3%) aged 18 to 19, 182 individuals (44.4%) aged 20 to 21, and 149 individuals (36.3%) aged 22 to 24. The mean age and standard deviation of the participants were 21.13 years and 4.88 years, respectively. Among the participants, 250 (61%) were female and 160 (39%) were male. Additionally, 329 participants (80.2%) were single, while 81 participants (19.8%) were married. Table 1 displays the means, standard deviations, and correlation coefficients for defense mechanisms, self-esteem, and the tendency for risk-taking behaviors. The findings revealed that immature and neurotic defense mechanisms were positively correlated with risk-taking behaviors, whereas self-esteem demonstrated a significant negative correlation with these behaviors. Additionally, the mature defense mechanism did not show a significant correlation with risk-taking behaviors.

Table 1.Mean, Standard Deviation, and Pearson Correlation Between Defense Mechanism, Self-esteem, and Risk-Taking Behaviors
VariablesM ± SD12345
1.Immature 108.8 ± 16.32-
2.Mature40.53 ± 9.60-0.19 a-
3. Neurotic35.19 ± 8.210.65 a-0.18 a-
4. Self-esteem27.30 ± 5.53-0.54 a0.38 a-0.51 a-
5. Risk-taking79.18 ± 13.240.62 a-0.210.49 a-0.55 a-

Abbreviation: M ± SD, mean ± standard deviation.

a P < 0.001.

4.2. Structural Equation Modeling and Direct Effect Analysis

Structural equation modeling and path analysis were conducted using AMOS 26.0 software and maximum likelihood estimation (42). Table 2 presents the fit indices of the model after modification. In this study, the bootstrap estimation method was employed with a sample size of 2000 to estimate the standard error of indirect pathways. Table 3 displays the path coefficients among the variables. Furthermore, the schematic connection among the variables is depicted in Figure 2.

Table 2.Model Fit Indices and Their Acceptable Thresholds
VariablesRevised Model
Chisq/df2.08
GFI0.995
AGFI0.983
CFI1
RMSEA0.052
Results of structural equation modeling analysis of the direct and indirect impacts of defense mechanisms, and the mediating role of self-esteem on risky behaviors
Figure 2.

Results of structural equation modeling analysis of the direct and indirect impacts of defense mechanisms, and the mediating role of self-esteem on risky behaviors

4.3. Mediation Analysis

The present research model comprises five observed variables, which leads to 15 known parameters. On the other hand, the number of unknown parameters is also 15, suggesting that we expect the degrees of freedom in the measurement model to be zero. This type of model, where the degrees of freedom are zero, is known as a saturated model (35). In a saturated model, the parameters are estimated while the goodness-of-fit indices are assumed to be perfect and are therefore not estimated. For this reason, in the initial analysis, the goodness-of-fit indices were not estimated due to the zero degrees of freedom, and the assessment of the parameters revealed that the relationship between the mature defense mechanisms and the inclination towards risky behaviors was not significant. Consequently, this pathway was eliminated, resulting in an increase in the model's degrees of freedom to one. This statistical strategy has been applied in previous studies (12, 35). Table 3 demonstrates that the direct and indirect path coefficients for neurotic defense mechanisms and immature defense mechanisms with risky behaviors were both positive. In contrast, the path coefficient linking self-esteem to risky behaviors (P = 0.001, β = -0.267) was negative. Conversely, the indirect path coefficient for mature defense mechanisms and risky behaviors (P = 0.001, β = -0.078) was negative.

Table 3.Direct and Indirect Path Coefficients
PathBSEβP
Direct effect
Neurotic defense → self-esteem-0.1100.025-0.2420.001
Mature defense → self-esteem0.1540.0210.2940.001
Immature defense → self-esteem-0.0760.012-0.3490.001
Self-esteem → risky behaviors-0.8830.155-0.2670.001
Neurotic defense → risky behaviors0.2190.0770.1460.001
Immature defense → risky behaviors0.2740.0370.3780.001
Mature defense → risky behaviors-0.0060.011-0.0240.573
Indirect effect
Neurotic defense → self-esteem → risky behaviors0.0970.0270.0640.001
Mature defense → self-esteem → risky behaviors-0.1360.031-0.0780.001
Immature defense → self-esteem → risky behaviors0.0670.0160.0930.001

According to Figure 2, the relationships between neurotic defense mechanisms and risky behavior, as well as the connection between immature defense mechanisms and risky behavior, were significant. Additionally, self-esteem plays a partial mediating role in the relationship between neurotic and immature defense mechanisms and risky behavior. However, the relationship between mature defense mechanisms and risky behavior is not directly significant; this connection is established due to the mediating role of self-esteem. Furthermore, self-esteem serves as a complete mediator in the relationship between mature defense mechanisms and risky behaviors.

5. Discussion

The findings revealed that both immature and neurotic defense mechanisms exert a significant direct influence on the propensity for engaging in risky behaviors. This observation aligns with the outcomes of prior research (14-20). Several interpretations can be offered to elucidate the link between defense mechanisms and risky behaviors. Firstly, an increased frequency of maladaptive defense mechanisms implies that an individual may either lack adequate emotional stability or have experienced a decline in it for various reasons (6). From this angle, numerous risky behaviors can be perceived as inadequate strategies for emotional engagement (7). Secondly, as the maturity of a defense mechanism decreases, the individual's grasp on reality may become increasingly distorted or compromised (7), thereby heightening the likelihood of engaging in risky behaviors as a result of this altered perception. Additionally, the results indicated that there is no significant direct relationship between mature defense mechanisms and risky behavior; however, this relationship becomes significant when self-esteem is considered as a mediating factor. This result indicates that during the period of young adulthood, independent of the maturity of defense mechanisms, individuals may exhibit a tendency towards risky behaviors that are shaped by their age, developmental context, and, significantly, by cultural and social restrictions (43). In other words, individuals in this age period have specific psychological and relational needs that likely do not correlate with the type of mature defense mechanisms they possess.

The findings further indicated that self-esteem exerts a significant negative direct influence on the likelihood of engaging in risky behaviors. This observation is consistent with the outcomes of earlier research (25, 27, 30). Self-esteem is a crucial element that may affect students' involvement in positive and constructive pursuits, such as education and employment, thereby significantly impacting the quality and extent of their participation in socially acceptable behaviors (44).

Also, findings of this study showed that neurotic, immature, and mature defense mechanisms had a significant indirect effect on the propensity for risk-taking behaviors, mediated by self-esteem. This finding supports the role of self-esteem as a candidate for a trans-diagnostic risk factor for predicting risk-taking behaviors (32). To elucidate this finding, it can be argued that when students employ dysfunctional defense mechanisms, their self-esteem is likely to diminish (17). This is due to the fact that neurotic and immature defense mechanisms during this age period are associated with strategies such as self-handicapping and procrastination (17, 45). The reduction in self-esteem, frequently associated with self-handicapping, can result in risk-taking behaviors, including alcohol use, as a strategy for managing challenging circumstances (15). In addition, this finding about the role of self-esteem further supports the positive and protective role of self-esteem in mental health and healthy behavior (26, 27, 33, 34). Also, the finding suggests that mature defense mechanisms are indirectly related to lower risky behavior via self-esteem. It seems the utilization of mature defense mechanisms leads to positive intrapersonal and interpersonal outcomes, which subsequently influences an individual's self-esteem. As a result, individuals are likely to make more balanced behavioral choices and be less motivated by the desire to compensate for low self-esteem or to attain self-worth by engaging in risky behaviors. This explanation aligns with perspectives that conceptualize risky behaviors as a form of negative identity formation (46).

The results have shown that neurotic defense mechanisms relate to risky behavior both directly and indirectly via self-esteem. The direct effect of defense mechanisms on risky behavior could explain why emotional dysregulation may result in impulsive actions, while the indirect influence may shed light on why some individuals consistently engage in risky behaviors.

The findings of the current study regarding the theoretical challenges surrounding self-esteem in relation to mental health suggest that authentic self-esteem, which is rooted in more mature defense mechanisms, is likely a protective factor in preventing mental health issues and risky behaviors. In contrast, self-esteem that stems from immature defense mechanisms is more prevalent among narcissistic and antisocial personalities (24, 28) and could lead to increased engagement in risky behaviors among these individuals.

This research encountered specific limitations that indicate potential directions for future inquiry. The study concentrated on a non-clinical demographic without a history of trauma, impulsivity, or psychiatric disorders; thus, analyzing this framework within clinical populations or among individuals with a history of risky behaviors could provide significant insights. Another limitation of the research is the lack of screening for participants regarding their trauma history and psychiatric disorders, which may potentially influence the results. It is ultimately recommended that, considering the sample's gender inequality, this model be analyzed separately for girls and boys, and that research be conducted on the various types of risky behaviors differentiated by gender among both groups. The ultimate limitation of this research pertained to certain cultural differences regarding the identification of risky behaviors (e.g., "friendships with the opposite sex"). Therefore, it is advisable to exercise greater caution when considering the generalizability of the findings of this study to cultures that are less restrictive.

Acknowledgments

Footnotes

References

  • 1.
    Leigh BC. Peril, chance, adventure: concepts of risk, alcohol use and risky behavior in young adults. Addiction. 1999;94(3):371-83. [PubMed ID: 10605866]. https://doi.org/10.1046/j.1360-0443.1999.9433717.x.
  • 2.
    Kwan MY, Arbour-Nicitopoulos KP, Duku E, Faulkner G. Patterns of multiple health risk-behaviours in university students and their association with mental health: application of latent class analysis. Health Promot Chronic Dis Prev Can. 2016;36(8):163-70. [PubMed ID: 27556920]. [PubMed Central ID: PMC5215183]. https://doi.org/10.24095/hpcdp.36.8.03.
  • 3.
    Hair EC, Park MJ, Ling TJ, Moore KA. Risky behaviors in late adolescence: co-occurrence, predictors, and consequences. J Adolesc Health. 2009;45(3):253-61. [PubMed ID: 19699421]. https://doi.org/10.1016/j.jadohealth.2009.02.009.
  • 4.
    Aleebrahim F, Soleimani S, Tarrahi MJ. The Correlation Between Self-Expression and High-Risk Behaviors in Students. Shiraz E Med J. 2024;25(10). https://doi.org/10.5812/semj-140261.
  • 5.
    Cramer P. Coping and Defense Mechanisms: What's the Difference? J Pers. 2002;66(6):919-46. https://doi.org/10.1111/1467-6494.00037.
  • 6.
    Cramer P. Understanding Defense Mechanisms. Psychodyn Psychiatry. 2015;43(4):523-52. [PubMed ID: 26583439]. https://doi.org/10.1521/pdps.2015.43.4.523.
  • 7.
    Blackman JS. 101 Defenses. London, UK: Routledge; 2004. https://doi.org/10.4324/9780203492369.
  • 8.
    Bloch AL, Shear MK, Markowitz JC, Leon AC, Perry JC. An empirical study of defense mechanisms in dysthymia. Am J Psychiatry. 1993;150(8):1194-8. [PubMed ID: 8328563]. https://doi.org/10.1176/ajp.150.8.1194.
  • 9.
    Bekes V, Starrs CJ, Perry JC, Prout TA, Conversano C, Di Giuseppe M. Defense mechanisms are associated with mental health symptoms across six countries. Res Psychother. 2023;26(3). [PubMed ID: 38226792]. [PubMed Central ID: PMC10849071]. https://doi.org/10.4081/ripppo.2023.729.
  • 10.
    Kennedy BL, Schwab JJ, Hyde JA. Defense styles and Personality dimensions of research subjects with anxiety and depressive disorders. Psychiatr Q. 2001;72(3):251-62. [PubMed ID: 11467159]. https://doi.org/10.1023/a:1010353116016.
  • 11.
    Bernabeu EP. Underlying ego mechanisms in delinquency. Psychoanal Q. 1958;27(3):383-96. [PubMed ID: 13579082].
  • 12.
    Leichsenring F, Kunst H, Hoyer J. Borderline personality organization in violent offenders: correlations of identity diffusion and primitive defense mechanisms with antisocial features, neuroticism, and interpersonal problems. Bull Menninger Clin. 2003;67(4):314-27. [PubMed ID: 14733448]. https://doi.org/10.1521/bumc.67.4.314.26983.
  • 13.
    Blanco C, Kampe L, Wall MM, Liu SM, Wang S, Caligor E, et al. Approximating defense mechanisms in a national study of adults: prevalence and correlates with functioning. Transl Psychiatry. 2023;13(1):21. [PubMed ID: 36690611]. [PubMed Central ID: PMC9870881]. https://doi.org/10.1038/s41398-022-02303-3.
  • 14.
    Cimino S, Marzilli E, Erriu M, Carbone P, Casini E, Cerniglia L. Motor Vehicle Collisions during Adolescence: The Role of Alexithymic Traits and Defense Strategies. Behav Sci (Basel). 2021;11(6). [PubMed ID: 34063788]. [PubMed Central ID: PMC8223781]. https://doi.org/10.3390/bs11060079.
  • 15.
    Costa RM, Brody S. Immature psychological defense mechanisms are associated with greater personal importance of junk food, alcohol, and television. Psychiatry Res. 2013;209(3):535-9. [PubMed ID: 23866675]. https://doi.org/10.1016/j.psychres.2013.06.035.
  • 16.
    Shirachi M, Spirrison CL. Repressive coping style and substance use among college students. North Am J Psychol. 2006;8(1):99-114.
  • 17.
    Hadley E. The impacts of defensive functioning and anxiety on risk taking behaviors[Dissertation]. New York, U.S: Long Island University; 2009.
  • 18.
    Kaygusuz C, Ozpolat AR. An Analysis of University Students’ Levels of Self-control According to Their Ego States. Eurasian J Educ Res. 2016;16(64):197-212. https://doi.org/10.14689/ejer.2016.64.11.
  • 19.
    Rivers SE, Brackett MA, Omori M, Sickler C, Bertoli MC, Salovey P. Emotion Skills as a Protective Factor for Risky Behaviors Among College Students. J Coll Stud Dev. 2013;54(2):172-83. https://doi.org/10.1353/csd.2013.0012.
  • 20.
    Parekh MA, Majeed H, Khan TR, Khan AB, Khalid S, Khwaja NM, et al. Ego defense mechanisms in Pakistani medical students: a cross sectional analysis. BMC Psychiatry. 2010;10:12. [PubMed ID: 20109240]. [PubMed Central ID: PMC2836996]. https://doi.org/10.1186/1471-244X-10-12.
  • 21.
    Turchik JA, Gidycz CA. Prediction of Sexual Risk Behaviors in College Students Using the Theory of Planned Behavior: A Prospective Analysis. J Soc Clin Psychol. 2012;31(1):1-27. https://doi.org/10.1521/jscp.2012.31.1.1.
  • 22.
    Kim HS, Ahn J, No JK. Applying the Health Belief Model to college students' health behavior. Nutr Res Pract. 2012;6(6):551-8. [PubMed ID: 23346306]. [PubMed Central ID: PMC3542446]. https://doi.org/10.4162/nrp.2012.6.6.551.
  • 23.
    Arsandaux J, Montagni I, Macalli M, Bouteloup V, Tzourio C, Galera C. Health Risk Behaviors and Self-Esteem Among College Students: Systematic Review of Quantitative Studies. Int J Behav Med. 2020;27(2):142-59. [PubMed ID: 32072455]. https://doi.org/10.1007/s12529-020-09857-w.
  • 24.
    Rosenberg M, Schooler C, Schoenbach C, Rosenberg F. Global Self-Esteem and Specific Self-Esteem: Different Concepts, Different Outcomes. Am Sociol Rev. 1995;60(1). https://doi.org/10.2307/2096350.
  • 25.
    Baumeister RF, Campbell JD, Krueger JI, Vohs KD. Exploding the Self-Esteem Myth. Sci Am. 2005;292(1):84-91. https://doi.org/10.1038/scientificamerican0105-84.
  • 26.
    Ahn J, Yang Y. Relationship Between Self-Esteem and Risky Sexual Behavior among Adolescents and Young Adults: A Systematic Review. Am J Sex Educ. 2022;18(3):484-503. https://doi.org/10.1080/15546128.2022.2118199.
  • 27.
    Geckil E, Dundar O. Turkish Adolescent Health Risk Behaviors and Self-Esteem. Soc Behav Pers Int J. 2011;39(2):219-27. https://doi.org/10.2224/sbp.2011.39.2.219.
  • 28.
    Baumeister RF, Bushman BJ, Campbell W. Self-Esteem, Narcissism, and Aggression. Curr Dir Psychol Sci. 2000;9(1):26-9. https://doi.org/10.1111/1467-8721.00053.
  • 29.
    Hollar DS, Snizek WE. The influences of knowledge of HIV/AIDS and self-esteem on the sexual practices of college students. Soc Behav Pers. 1996;24:75-86.
  • 30.
    Mann M, Hosman CM, Schaalma HP, de Vries NK. Self-esteem in a broad-spectrum approach for mental health promotion. Health Educ Res. 2004;19(4):357-72. [PubMed ID: 15199011]. https://doi.org/10.1093/her/cyg041.
  • 31.
    Hoven M, Luigjes J, Denys D, Rouault M, van Holst RJ. How do confidence and self-beliefs relate in psychopathology: a transdiagnostic approach. Nat Mental Health. 2023;1(5):337-45. https://doi.org/10.1038/s44220-023-00062-8.
  • 32.
    Lynch SJ, Sunderland M, Newton NC, Chapman C. A systematic review of transdiagnostic risk and protective factors for general and specific psychopathology in young people. Clin Psychol Rev. 2021;87:102036. [PubMed ID: 33992846]. https://doi.org/10.1016/j.cpr.2021.102036.
  • 33.
    Bosacki SL, Dane AV, Marini ZA, YLC‐CURA. Peer relationships and internalizing problems in adolescents: mediating role of self‐esteem. Emot Behav Diffic. 2007;12:261-82.
  • 34.
    Wiechert S, van Bockstaele B, Vertregt M, van Marwijk L, Maric M. Explicit and implicit self-esteem and their associations with symptoms of anxiety and depression in children and adolescents. Eur J Dev Psychol. 2023;20(5):823-38. https://doi.org/10.1080/17405629.2023.2216447.
  • 35.
    Meyers LS, Gamst G, Guarino AJ. Applied Multivariate Research: Design and Interpretation. Thousand Oaks, U.S: Sage Publications; 2017. https://doi.org/10.4135/9781071802687.
  • 36.
    Bond M, Christopher J, Gautier M, Goldenberg M, Oppenheimer J, Simand J. Validating the Self-Report of Defense Styles. J Pers Dis. 1989;3(2):101-12. https://doi.org/10.1521/pedi.1989.3.2.101.
  • 37.
    Heidarinasab L, Shaeiri M. [Factorial Structure of the Defense Style Questionnaire (DSQ-40)]. J Modern Psychol Res. 2011;6(21):77-97. FA.
  • 38.
    Rosenberg M. Conceiving the self. New York, U.S: Basic Books; 1979. https://doi.org/10.1037/t01038-000.
  • 39.
    Robins RW, Hendin HM, Trzesniewski KH. Measuring Global Self-Esteem: Construct Validation of a Single-Item Measure and the Rosenberg Self-Esteem Scale. Pers Soc Psychol Bull. 2001;27(2):151-61. https://doi.org/10.1177/0146167201272002.
  • 40.
    Abbasi A, Moradkhani A, Shahri B, Khosravi H, Sohrabi A, Mirhosseini S. Psychometric evaluation of the Persian version of the Rosenberg Self-Esteem Scale among medical sciences students. Front Psychol. 2024;15:1451862. [PubMed ID: 39600597]. [PubMed Central ID: PMC11588454]. https://doi.org/10.3389/fpsyg.2024.1451862.
  • 41.
    Zadeh Mohammadi A, Ahmadabadi Z, Heidari M. [Construction and Assessment of Psychometric Features of Iranian Adolescents Risk-Taking Scale]. Iran J Psychiatry Clin Psychol. 2011;17(3):218-25. FA.
  • 42.
    Weston R, Gore PA. A Brief Guide to Structural Equation Modeling. Couns Psychol. 2006;34(5):719-51. https://doi.org/10.1177/0011000006286345.
  • 43.
    Duell N, Steinberg L, Icenogle G, Chein J, Chaudhary N, Di Giunta L, et al. Age Patterns in Risk Taking Across the World. J Youth Adolesc. 2018;47(5):1052-72. [PubMed ID: 29047004]. [PubMed Central ID: PMC5878702]. https://doi.org/10.1007/s10964-017-0752-y.
  • 44.
    Acosta-Gonzaga E. The Effects of Self-Esteem and Academic Engagement on University Students' Performance. Behav Sci. 2023;13(4). [PubMed ID: 37102862]. [PubMed Central ID: PMC10136102]. https://doi.org/10.3390/bs13040348.
  • 45.
    Yu J, McLellan R. Beyond academic achievement goals: The importance of social achievement goals in explaining gender differences in self-handicapping. Learn Individ Differ. 2019;69:33-44. https://doi.org/10.1016/j.lindif.2018.11.010.
  • 46.
    Berzonsky M, Kinney A. Identity Processing Style and Defense Mechanisms. Pol Psychol Bull. 2008;39(3):111-7. https://doi.org/10.2478/v10059-008-0022-7.

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