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Systematic Review

Self-Esteem and Risk Behaviours in Adolescents: A Systematic Review

by
Elena Martínez-Casanova
*,
María del Mar Molero-Jurado
and
María del Carmen Pérez-Fuentes
Department of Psychology, University of Almería, 04120 Almería, Spain
*
Author to whom correspondence should be addressed.
Behav. Sci. 2024, 14(6), 432; https://doi.org/10.3390/bs14060432
Submission received: 26 April 2024 / Revised: 17 May 2024 / Accepted: 20 May 2024 / Published: 22 May 2024

Abstract

:
Adolescence is recognised as a notoriously vulnerable period in the human life cycle. Influenced by a complex interplay of biological, psychological and social factors, adolescents show a marked propensity to engage in risk behaviours. A systematic review was conducted of studies published in the Web of Science, PsycInfo and MEDLINE databases over the last decade, with the aim of collecting studies on the relationship between self-esteem and risk behaviour in individuals aged 12–18 years. The aim was to confirm the role of high self-esteem as a consistent protective factor against risk behaviour. The results show that self-esteem is negatively related to risk behaviour. Our results also reflect the need for further research on how sociodemographic factors, among others, affect the relationship between self-esteem and risk behaviours. This review highlights the relevance of implementing specific educational interventions to strengthen self-esteem in adolescents, with the aim of preventing various risk behaviours that may emerge during adolescence and persist throughout life if not addressed early.

1. Introduction

Adolescence is a stage of vulnerability to risk behaviours, due to a complex interaction of biological, psychological and social factors, including the brain’s sensitivity to emotions generated by rewarding experiences, the search for identity and the desire for independence, the lack of tools to manage different emotions and, finally, the adolescent’s permeability to the example offered by their primary caregiver [1,2]. These factors can be defined as risk factors, understood as individual attributes and/or characteristics, conditions and/or environmental contexts that increase the likelihood of developing risk behaviours [3].
Risky behaviours encompass any action that threatens biological, psychological or social development [4], with an immediate effect that may be pleasant but with harmful long-term consequences, as they are linked to high morbidity and mortality [5]. This is clearly exemplified in the case of tobacco and alcohol use, which have caused more than 8 million and 3 million deaths, respectively [6,7]. Around 90% of adult smokers admit to having started smoking during adolescence [8], underlining the need for early interventions. In addition, risk behaviours are often associated with each other. For example, drug use is associated with risky sexual relationships [4] or with antisocial behaviour [9]. Another relevant aspect is the connection between eating disorders, which often occur during adolescence [10], and suicide [11].
In order to address risky behaviours, research on protective factors or, in other words, personal or social resources that reduce the tendency to develop risky behaviours and, consequently, health problems, is crucial [3].
Self-esteem, defined as the global evaluation of oneself [12], has traditionally been considered a protective factor against various risk behaviours. It has been linked to a decrease in the consumption of substances such as alcohol, tobacco [13] and illicit drugs, as well as to a lower risk of eating disorders (EA) [14], self-harm, suicidal behaviour [15,16], sexual risk behaviours [17], harmful media use [18,19] and antisocial behaviours such as aggression, delinquency, bullying, cyberbullying and sexting [20,21,22,23,24,25,26]. In addition, some studies report a mediating role of self-esteem, for example, between strict parenting and suicidal ideation [27] or between depression and suicidal ideation [28].
However, recent research has challenged this perspective. Some have found no significant relationship [29,30,31,32] and others have even found a positive relationship [33,34]. In addition, it is important to consider possible variations in the relationship between self-esteem and risk behaviours by gender. Self-reports suggest that women tend to report lower levels of self-esteem compared to men, which may influence how these behaviours manifest themselves in each group [35].
Thus, new research is needed to provide a clear and updated perspective on the subject, in order to determine whether self-esteem is a relevant individual variable for the reduction of risk behaviours in adolescence. The present review aims to find out whether high self-esteem functions as a protective or risk factor by analysing the scientific literature of the last decade, in Spanish and English.

2. Materials and Methods

This review has been conducted in accordance with the PRISMA 2020 guidelines for systematic reviews [36].

2.1. Data Sources and Search Strategy

The search for publications was conducted between November 2023 and February 2024. Due to the multidisciplinary approach of the review, MEDLINE, Web of Science and PsycInfo databases were consulted. In all three databases, the terms “self-esteem”, “risk behaviours” and “adolescents” were used in English and Spanish. To find documents that included the above terms, the Boolean operators “AND” and “OR” were used. Thus, the search strategy was (autoestima OR self-esteem) AND (conductas de riesgo OR risk behaviors) AND (adolescentes OR adolescents). A total of 7189 citations were identified in the three databases searched. The search was limited to open access journal articles published in English or Spanish between 2013 and 2023, which reduced the number of citations to 1984. Table 1 shows the search strategy and the terms included.

2.2. Elegibility Criteria

Articles were included if they (1) had adolescent participants (12–18 years); (2) were quantitative and cross-sectional; (3) were in English or Spanish; (4) treated self-esteem as a unidimensional concept; (5) and addressed a specific risk behaviour.
Articles were excluded if they (1) did not provide clear data on the age of participants or if ages were below 12 years or above 18 years; (2) had gender bias in the sample; (3) included participants with physical, psychological or social particularities; (4) considered terms such as “self-concept” or “self-image” as synonymous with self-esteem; (5) superficially addressed risk behaviours; (6) focused on the creation, validation or adaptation of scales and questionnaires; (7) evaluated the effectiveness of intervention programmes; (8) and/or were limited in their accessibility.

2.3. Quality of Manuscripts

Two reviewers independently rated the quality of the selected full-text articles using the Newcastle–Ottawa Scale (NOS) tool adapted for cross-sectional studies by Herzog et al. [37]. A minimum score of 5 out of 10 was set for this review to be selected.

2.4. Data Extraction

Studies were selected following a two-stage process, as shown in Figure 1 (PRISMA flowchart): (1) screening of the titles and abstracts of potentially eligible studies followed by (2) screening of the full texts of the preliminarily selected articles. The assessment of each record was performed by two reviewers.
A total of 1737 articles were identified as eligible; however, after full-text analysis, only 48 articles remained and were included in this review.

3. Results

Self-esteem’s impact on identity and behaviour is widely studied. This systematic review examines the available evidence on the interaction between self-esteem and risk behaviours in adolescents, providing a comprehensive overview of how self-perception may influence participation in activities that carry potential negative consequences for health and well-being. The salient features of the studies included in the current review are summarised in Table 2.
Six main categories of risk behaviours have been identified: (1) substance abuse, (2) eating disorders, (3) suicide and self-harm, (4) risky sexual practices, (5) harmful use of media and (6) antisocial behaviour. According to our inclusion and exclusion criteria, the most researched category was “suicide and self-harm”, while the least studied categories were “risky sexual practices” and “antisocial behaviour”.
In terms of the year of publication, 2022 stands out as the year with the highest number of publications, coinciding with the return to normality after the COVID-19 pandemic. It is notable that in 2021, during the height of the pandemic, research experienced a significant decrease. There is a notable increase in the number of publications from 2021 to 2022, followed by a similar transition between 2016 and 2017.
With regard to the country of publication, there is evidence of international interest in the subject. However, Spain stands out as the country with the highest number of publications related to self-esteem and risk behaviours.
As for the sample sizes of the studies analysed, there is considerable disparity, ranging from a minimum of 100 to a maximum of 57,767 subjects. As for the age of the subjects, they ranged from 12 to 18 years of age, with 15 and 16 years of age standing out, present in more than 40 of the 48 studies included.
Regarding the results, on the one hand, in those obtained in the category of substance abuse, a negative relationship prevails with alcohol consumption [40,41,45,46], although one study highlights that this relationship is only significant in adolescents of high socioeconomic status [44]. With regard to tobacco, the negative relationship also predominates [42,45], although one study notes that this relationship is significant only with cigarettes and not with hookah smoking [39] and another reports a non-significant relationship [40]. For cannabis, two studies report no or a weak relationship [38,40], respectively, and two others report a relationship [43,45], especially in older men [43], requiring further research to provide clarity on the relationship between these two variables.
On the other hand, in the category of eating disorders, all studies recognise a negative relationship between eating disorders and self-esteem [47,48,49,50,51,52,53,54,55]. Furthermore, a relevant aspect of the role of self-esteem is highlighted in the study by Cella et al. [53] where self-esteem is identified as a mediator in the relationship between parental bonding and the incidence of binge eating, providing a more complete understanding of how self-esteem is related to eating disorders.
Regarding the category of suicide and self-harm, all studies report a negative relationship between self-esteem and self-harm, both suicidal and non-suicidal [56,57,58,59,60,61,63,64,65,66,67]. Furthermore, Brausch and Decker’s [62] study broadens the understanding of how self-esteem affects suicide by identifying a modulatory effect, revealing that the relationship between depression and suicidal ideation is mainly manifested in individuals with low levels of self-esteem.
With regard to sexual risk behaviour, the evidence shows that there is a predominantly negative relationship between self-esteem and sexual risk behaviour [68,69,72]. One study partially agrees with these results, maintaining a negative relationship in women, while in men, the relationship is positive [70], and another disagrees completely, finding no significant relationship [71].
In terms of harmful media use, evidence shows a negative relationship between self-esteem and problematic information and communication technology (ICT) use [73,74,76,77,80], although one study partially agrees with the results, finding no significant relationships in men [75], and another finds that this relationship is mediated by depression and that the influence of depression on the relationship between self-esteem and problematic ICT use is moderated by interpersonal trust [78]. Wang’s [79] study points to a mediating role between parent–child closeness, peer closeness and problematic Internet use.
And finally, with regard to antisocial behaviour, the evidence collected points to a negative relationship between self-esteem and antisocial behaviour, particularly in cases of violence [82,83,84], in contrast to those studies that find no significant relationships [85]. Regarding delinquency, Gauthier-Duchesne et al. [81] recognise the mediating role of self-esteem between the experience of sexual abuse and delinquency, as well as highlighting the fact that it is men who have lower self-esteem and higher delinquent behaviour. However, among those who have not experienced sexual abuse, boys typically display higher self-esteem than girls. Interestingly, the data show that higher self-esteem correlates with increased delinquent behaviour.

Quality of the Manuscripts

All articles used in this review scored well (Table 3) and were therefore considered to be of good quality.

4. Discussion

The aim of this study was to examine the relationship between self-esteem and risk behaviour in adolescents and to determine whether self-esteem, high or low, was a consistent protective factor against risk behaviour. In exploring these dynamics, our results also uncovered significant relationships between various risk behaviours, such as the association between depression and suicidal ideation [62] or between substance use and problematic Internet use [38], which not only bolsters the findings of prior research [4,9,11] but also underscores the necessity and significance of investigating protective factors in contrast to risk behaviours [3].
In regard to self-esteem as a protective factor, our results show a predominant and negative relationship between self-esteem and all the risk behaviours analysed, including tobacco and alcohol use, eating disorders, non-suicidal self-harm and suicide, sexual risk behaviours, problematic ICT use and antisocial behaviour, and these results are supported by the previous literature [14,15,17,18,20,21,22,24], with the exception of cannabis use, where our findings are ambiguous due to us finding equality between studies supporting a negative relationship and those finding no significant associations. There is no clear trend of a negative relationship, as seen with the rest of the analysed risk behaviours, nor a predominant relationship, even if not negative. The previous literature has already identified this scenario, with some studies indicating a negative relationship between cannabis use and self-esteem [14], while others found no significant relationship [29]. In this context, our findings highlight the need for further research to clarify the relationship between cannabis use and self-esteem. These results can be better understood by examining the existing literature, which has traditionally focused more on substances like alcohol or tobacco [6,7,8]. This historical preference for certain substances may have limited the amount of research focused on cannabis and, therefore, could explain the scarcity of studies dedicated to understanding its effects and associated risks.
Furthermore, our study provides further insight into the mechanisms underlying this relationship by recording, on the one hand, the mediating role of self-esteem between parental bonding and the incidence of binge eating [53], between the experience of sexual abuse and involvement in delinquent activities [81], between adolescents’ closeness to parents and friends and problematic Internet use [79] and, on the other hand, by recording the modulating role of self-esteem in the relationship between depression and suicidal ideation [62]. These results suggest that self-esteem is not only an important factor in its own right but may also influence how other experiences and factors affect adolescents’ behaviour. The previous literature also reported a mediating role of self-esteem, for example, between strict parenting and suicidal ideation [27] or between depression and suicidal ideation [29].
This implies that high self-esteem is a protective factor and low self-esteem acts as a risk factor. However, it is important to note that these significant relationships may vary according to several factors, such as gender [70,75] or socioeconomic status [44]. With regard to gender, our results show that women report lower self-esteem [75], in line with the previous literature [35], and therefore, taking as a reference the results of our study that indicate a prevalent negative relationship between self-esteem and risk behaviours, they are more vulnerable to engaging in risk behaviours [58], aligning with the prior literature [14]. The few studies reporting that males are more vulnerable usually coincide with the minority of studies finding a positive relationship between self-esteem and risky behaviour [81].
Although our findings reflect a higher incidence of studies showing a negative relationship between self-esteem and risk behaviours, there is a minority of studies suggesting a positive relationship. These differences are more fully explained when considering a multidimensional view of self-esteem, in line with the proposal of Salmivalli et al. [35], who show that it is necessary to go beyond high or low self-esteem and take into account the “dark side” of self-esteem that the traditional literature, with a unidimensional view of self-esteem, has ignored.
In addition, the vulnerability to risk behaviours may be influenced by a combination of individual, social, economic and environmental factors that interact in complex ways [1,2], suggesting a multifaceted picture that requires the adoption of an ecological approach, as referenced by Bronfenbrenner, for comprehensive understanding.
Societal pressures and expectations can exert a significant influence on how adolescents perceive their self-esteem. However, it is important to recognise that not all cultures adhere to the same principles. For instance, in Slovenia, the normalisation of alcohol consumption illustrates how cultural norms can vary widely. In this context, socialising and gathering often involve alcohol, contributing to its normalisation as a means of social interaction. In such a cultural milieu, individuals who do not partake in drinking may perceive their self-esteem diminishing, as they may feel pressure to conform to group norms in order to feel accepted and valued. These relationships are stronger among the female sex, as the female sex is primarily driven by situational and socio-psychological factors, while the male sex is determined to a greater extent by their personality [35,44]. This dynamic highlights how cultural context can shape individuals’ behaviours and perceptions of self-worth. However, it is worth noting that personal characteristics also play a role in how individuals respond to societal pressures. Some individuals may resist the influence of cultural norms and maintain their self-esteem despite external pressures to conform [1,2,41,46].
Interestingly, in Slovenia, individuals from higher socioeconomic backgrounds may not experience a decline in self-esteem if they choose not to drink. This could be attributed to different expectations and standards held by individuals in these social circles. In such contexts, individuals may place greater emphasis on personal achievements and values beyond social conformity, thereby maintaining their self-esteem independent of cultural norms surrounding alcohol consumption. Although not everything is explained by self-esteem and it is necessary to look at each situation in an ecological way, self-esteem plays a fundamental role in adhering, to a greater or lesser extent, to these prevailing values of the moment, since in this process, self-esteem can both affect and be affected by the social role that is assumed, generating a continuous cycle of mutual influence between both aspects [1,2,35,44].
Consequently, the question arises whether problematic and risky behaviours are a reflection of a society with self-esteem problems, which adheres to prevailing social values out of an uncontrollable need to belong. Today, tackling this endless cycle and fostering self-esteem represents a considerable challenge, mainly due to the powerful influence of social media and influencers on adolescents [83]. These actors have become major socialisation agents, often challenging the authority of other socialisation agents. It is crucial to examine how these contextual and socio-demographic variables interact with self-esteem to influence the propensity for risky behaviours. This becomes imperative in order to develop more accurate and effective prevention and intervention strategies.

5. Conclusions

This study provides a compilation of diverse research that examines the relationship between self-esteem and various risk behaviours. This compilation has allowed us to fulfil our main objective: to conduct a comprehensive analysis detailing the connection between levels of self-esteem and risk behaviours.
However, this study has some limitations, including the restriction imposed by our exclusion criterion, which left out those articles in which the sample had physical, psychological or social peculiarities. Although we implemented this criterion with the intention of ensuring the representativeness of the results, paradoxically, there is a risk of excluding certain groups and affecting the generalisability of the findings. Furthermore, by limiting our acceptance to exclusively quantitative studies, we prioritised the collection and analysis of numerical and statistical data. Although these studies provide valuable and objective information, they sometimes lack more descriptive or narrative contexts that could enrich the understanding of the results. Also, by approaching self-esteem as a unidimensional concept, there is a risk of oversimplifying the understanding of this psychological phenomenon, which may limit the validity and applicability of the study results. It would be beneficial to consider including multidimensional measures of self-esteem in order to obtain a more complete and accurate understanding of how this construct relates to risk behaviours. Additionally, it is worth noting that all papers reviewed were open access, which may introduce a bias in the selection of the literature, excluding studies that were not freely available. Finally, the thematic breadth addressed in this study, and, consequently, the large sample collected, has presented a significant limitation in the analysis of the results. The abundance of information has possibly limited the depth of our conclusions and the identification of significant patterns by making it difficult to analyse each subgroup or specific aspect in detail. It is essential to keep these limitations in mind when interpreting the results and to consider possible areas for improvement in future research.
Despite the aforementioned limitations, this study achieves its main objective by providing an update on the relationship between self-esteem and risk behaviours, identifying a general trend that recognises high self-esteem as a protective factor against these behaviours, highlighting the importance of developing interventions or programmes aimed at strengthening adolescents’ self-esteem as a preventive strategy to reduce risk behaviours. Furthermore, our results underline the need to explore factors that may affect this relationship, such as gender and socioeconomic background, in order to design effective interventions, presenting these factors as another solid basis for future research.

Author Contributions

All co-authors contributed to data collection and/or analysis of project results. All authors have read and agreed to the published version of the manuscript.

Funding

This publication is part of the I+D+i PID2020-119411RB-I00 funded by MCIN/AEI/10.13039/501100011033/ and FEDER “Una manera de hacer Europa”. It also has the support of the Ministry of Education and Vocational Training, through the programme of grants for University Teacher Training (FPU) awarded to Elena Martínez Casanova with reference number FPU22/02580.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Álvarez-García, D.; Núñez, A.; Pérez-Fuentes, M.D.C.; Vallejo, G. Efecto del grupo-clase sobre la cibervictimización en estudiantes de Secundaria: Un análisis multinivel [Class-level effects on cybervictimization in secondary students: A multilevel analysis]. Rev. Educ. 2022, 397, 153–178. [Google Scholar] [CrossRef]
  2. UNICEF. Adolescentes y Comportamientos de Riesgo. 7 June 2023. Available online: https://www.unicef.org/parenting/es/salud-mental/adolescentes-y-comportamientos-de-riesgo (accessed on 1 April 2024).
  3. Ahumada-Cortez, J.G.; Gámez-Medina, M.E.; Valdez-Montero, C. El consumo de alcohol como problema de salud pública. Rev. Cuba. Hig. Epidemiol. 2017, 13, 13–24. [Google Scholar] [CrossRef]
  4. Salas, F.G. Caracterización de factores implicados en las conductas de riesgo en adolescentes: Characterization of factors involved in risk behaviors in adolescents. Rev. ABRA 2018, 38, 1–16. [Google Scholar] [CrossRef]
  5. Rosabal, E.; Romero, N.; Gaquín, K.; Hernández, R.A. Conductas de riesgo en los adolescentes: Risk behavior in adolescents. Rev. Cub. Med. Mil. 2015, 44, 218–229. [Google Scholar]
  6. Organización Mundial de la Salud (OMS). Alcohol. 9 May 2022. Available online: https://www.who.int/es/news-room/fact-sheets/detail/alcohol (accessed on 1 April 2024).
  7. Organización Mundial de la Salud (OMS). Tabaco. 31 July 2023. Available online: https://www.who.int/es/news-room/fact-sheets/detail/tobacco (accessed on 1 April 2024).
  8. Veeranki, S.P.; Mamudu, H.M.; John, R.M.; Ouma, A.E. Prevalence and correlates of tobacco use among school-going adolescents in Madagascar. J. Epidemiol. Glob. Health 2015, 5, 239–247. [Google Scholar] [CrossRef] [PubMed]
  9. Hidalgo, C.C. Factores de riesgo familiar en el consumo de drogas y su relación con la conducta antisocial en adolescentes. Distrito de salud 09d08. 2019. Más Vita 2020, 2, 54–64. [Google Scholar] [CrossRef]
  10. Gaete, V.; López, C. Trastornos de la conducta alimentaria en adolescentes. Una mirada integral. Rev. Chil. Pediatr. 2020, 91, 784–793. [Google Scholar] [CrossRef]
  11. Fichter, M.; Quadflieg, N. Mortality in eating disorders—Results of a large prospective clinical longitudinal study. Int. J. Eat. Disord. 2016, 49, 391–401. [Google Scholar] [CrossRef]
  12. Rosenberg, M. Society and the Adolescent Self-Image, 1st ed.; Princeton University Press: Princeton, NJ, USA, 1965; pp. 1–326. [Google Scholar]
  13. Dudok, R.; Piko, B.F. Multi-Level Protective Factors of Adolescent Smoking and Drinking. Eur. J. Investig. Health Psychol. Educ. 2023, 13, 932–947. [Google Scholar] [CrossRef]
  14. González, A.; Molero, M.D.M. Estilo de vida saludable en la adolescencia: Relación con autoestima y diferencias según sexo [Healthy Lifestyle in Adolescence: Relationship with Self-Esteem and Gender differences]. Acción Psicol. 2023, 20, 47–56. [Google Scholar] [CrossRef]
  15. Yepes, A.C.; Rubio, N.; Vinaccia, S.; Bernal, S. Relación entre los niveles de autoestima, resiliencia, ideación suicida y riesgo suicida en jóvenes indígenas zenúes de Córdoba, Colombia: Relationship between levels of self-esteem, resilience, suicidal ideation and suicidal risk in Zenú indigenous youth from Córdoba, Colombia. Psicol. Salud 2022, 32, 295–304. [Google Scholar] [CrossRef]
  16. Raffagnato, A.; Iannattone, S.; Fasolato, R.; Parolin, E.; Ravaglia, B.; Biscalchin, G.; Traverso, A.; Zanato, S.; Miscioscia, M.; Gatta, M. A pre-adolescent and adolescent clinical sample study about suicidal ideation, suicide attempt, and self-harming. Eur. J. Investig. Health Psychol. Educ. 2022, 12, 1441–1462. [Google Scholar] [CrossRef] [PubMed]
  17. Enejoh, V.; Pharr, J.; Octavie, B.; Olutolula, A.; Karick, H.; Ezeanolue, E. Impact of self-esteem on risky sexual behavior among Nigerian adolescents. AIDS Care 2016, 28, 672–676. [Google Scholar] [CrossRef] [PubMed]
  18. De la Villa Moral-Jiménez, M.; Fernández-Domínguez, S. Uso problemático de internet en adolescentes españoles y su relación con autoestima e impulsividad. Av. Psicol. Lat. 2019, 37, 103–119. [Google Scholar] [CrossRef]
  19. Hidalgo-Fuentes, S. Uso problemático de Internet y procrastinación en estudiantes: Un meta-análisis. Uso de Internet y procrastinación. Eur. J. Educ. Psychol. 2022, 15, 5. [Google Scholar] [CrossRef]
  20. Gámez-Guadix, M.; Mateos-Pérez, E. Longitudinal and reciprocal relationships between sexting, online sexual solicitations, and cyberbullying among minors. Comput. Hum. Behav. 2019, 94, 70–76. [Google Scholar] [CrossRef]
  21. Gan, X.; Wang, P.; Huang, C.; Li, H.; Jin, X. Alienation from school and cyberbullying among Chinese middle school students: A moderated mediation model involving self-esteem and emotional intelligence. Front. Public Health 2022, 10, 903206. [Google Scholar] [CrossRef] [PubMed]
  22. Noel, A.; Donald, C.; Hutchinson, G. Risk Factors for Delinquency among Adolescent Boys in Trinidad and Tobago. West Indian Med. J. 2016, 65, 455–460. [Google Scholar] [CrossRef]
  23. Park, M.; Choi, J.; Lim, S.J. Factors Affecting Aggression in South Korean Middle School Students. Asian Nurs. Res. 2014, 8, 247–253. [Google Scholar] [CrossRef]
  24. Tobalino-López, D.; Dolorier-Zapata, R.G.; Villa-López, R.M.; Menacho, I. Acoso escolar y autoestima en estudiantes de educación primaria de Perú. Opción 2017, 84, 359–377. [Google Scholar]
  25. Molero, M.M.; Martos, Á.; Barragán, A.B.; Pérez-Fuentes, M.C.; Gazquez, J.J. Anxiety and depression from cybervictimization in adolescents: A metaanalysis and meta-regression study. Eur. J. Psychol. Appl. Legal Context 2022, 14, 42–50. [Google Scholar] [CrossRef]
  26. Molero, M.M.; Pérez-Fuentes, M.C.; Martos, Á.; Pino, R.M.; Gázquez, J.J. Network analysis of emotional symptoms and their relationship with different types of cybervictimization. Eur. J. Psychol. Appl. Legal Context 2023, 15, 23–32. [Google Scholar] [CrossRef]
  27. Zhao, J.; Wang, Y. Harsh parenting and suicide ideation among Chinese adolescents: The roles of self-esteem and school social support. BMC Psychiatry 2023, 23, 609. [Google Scholar] [CrossRef]
  28. Luna-Contreras, M.; Dávila-Cervantes, C.A. Efecto de la depresión y la autoestima en la ideación suicida de adolescentes estudiantes de secundaria y bachillerato en la Ciudad de México: Effects of depression and self-esteem on suicide ideation in high school adolescent students in Mexico City. Pap. Pobla 2020, 26, 75–103. [Google Scholar] [CrossRef]
  29. Hargreaves, D.S.; McVey, D.; Nairn, A.; Viner, R.M. Relative importance of individual and social factors in improving adolescent health. Perspect. Public Health 2013, 133, 122–131. [Google Scholar] [CrossRef] [PubMed]
  30. Muhammed, F.M.; Sharma, V.; Fatima, J. A Correlational Study to Assess the Relationship Between Eating Pattern and Self-Esteem among Adolescents in a Selected School of Delhi. Int. J. Nurs. Midwifery Res. 2018, 5, 2–6. [Google Scholar] [CrossRef]
  31. Andrade, J.A.; Gonzáles, J. Relación entre riesgo suicida, autoestima, desesperanza y estilos de socialización parental en estudiantes de bachillerato. Psicogente 2017, 20, 70–88. [Google Scholar] [CrossRef]
  32. Basauri, M.Á. Factores asociados a la adicción a redes sociales en universitarios: Una revisión sistemática y metaanálisis. Persona 2023, 26, 11–56. [Google Scholar] [CrossRef] [PubMed]
  33. Tizoc, A.; Moreno-Monsiváis, M.G.; Esquivel-Rubio, A.; Rivera-Fierro, K.; González-Vázquez, A. Autoestima y su relación con la conducta sexual de riesgo para el VIH en migrantes: Revisión sistemática [Self-esteem and its relationship with sexual risk behavior for HIV in migrants: Systematic review] [Autoimagem e sua relação com o comportamento sexual de risco para o HIV em migrantes: Revisão sistemática]. Sanus 2021, 6, e213. [Google Scholar] [CrossRef]
  34. Gámez-Medina, M.E.; Guzmán-Facundo, F.R.; Ahumada-Cortez, J.G.; Alonso-Castillo, M.M.; Gherardi-Donato, E.C.D.S. Autoestima y consumo de alcohol en adolescentes escolarizados: Self-esteem and alcohol consumption in adolescent students. Nure Investig. 2017, 14, 1–9. [Google Scholar]
  35. Salmivalli, C.; Kaukiainen, A.; Kaistaniemi, L.; Lagerspetz, K.M. Self-evaluated self-esteem, peer-evaluated self-esteem, and defensive egotism as predictors of adolescents’ participation in bullying situations. Personal. Soc. Psychol. Bull. 1999, 25, 1268–1278. [Google Scholar]
  36. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Moher, D. Updating guidance for reporting systematic reviews: Development of the PRISMA 2020 statement. J. Clin. Epidemiol. 2021, 134, 103–112. [Google Scholar] [CrossRef]
  37. Herzog, R.; Álvarez-Pasquin, M.J.; Díaz, C.; Del Barrio, J.L.; Estrada, J.M.; Gil, Á. Are healthcare workers’ intentions to vaccinate related to their knowledge, beliefs and attitudes? A systematic review. BMC Public Health 2013, 13, 154. [Google Scholar] [CrossRef] [PubMed]
  38. Rial, A.; Burkhart, G.; Isorna, M.; Barreiro, C.; Varela, J.; Golpe, S. Consumo de cannabis entre adolescentes: Patrón de riesgo, implicaciones y posibles variables explicativas [Cannabis use among adolescents: Risk pattern, implications and possible explanatory variables]. Adicciones 2019, 31, 64–77. [Google Scholar] [CrossRef] [PubMed]
  39. Anbarlouei, M.; Sarbakhsh, P.; Dadashzadeh, H.; Ghiasi, A.; Ataieasl, M.; Dorosti, A.; Mohammadpoorasl, A. Cigarette and hookah smoking and their relationship with self-esteem and communication skills among high school students. Health Promot. Perspect. 2018, 8, 230–236. [Google Scholar] [CrossRef] [PubMed]
  40. Jongenelis, M.; Pettigrew, S.; Lawrence, D.; Rikkers, W. Factors associated with poly drug use in adolescents. Prev. Sci. 2019, 20, 695–704. [Google Scholar] [CrossRef]
  41. Pérez-Fuentes, M.D.C.; Martos, Á.; Molero, M.D.M.; Barragán, A.B.; Simón, M.D.M.; del Pino, R.M. Presión percibida para el consumo de alcohol y variables de resistencia en la adolescencia: Perceived pressure for drinking alcohol and endurance variables in adolescence. Rev. Investig. Educ. 2020, 18, 332–344. [Google Scholar] [CrossRef]
  42. Baheiraei, A.; Soltani, F.; Ebadi, A.; Foroushani, A.R.; Cheraghi, M.A. Risk and protective profile of tobacco and alcohol use among Iranian adolescents: A population-based study. Int. J. Adolesc. Med. Health 2017, 29, 20150089. [Google Scholar] [CrossRef] [PubMed]
  43. Chen, L.Y.; Martins, S.S.; Strain, E.C.; Mojtabai, R.; Storr, C.L. Sex and age differences in risk factors of marijuana involvement during adolescence. Addict. Disord. Their Treat. 2018, 17, 29–39. [Google Scholar] [CrossRef]
  44. Mehanović, E.; Košir, M.; Talić, S.; Jeriček, H.; Vigna-Taglianti, F. Socio-economic differences in factors associated with alcohol use among adolescents in Slovenia: A cross-sectional study. Int. J. Public Health 2020, 65, 1345–1354. [Google Scholar] [CrossRef]
  45. Ninkron, P.; Yau, S.; Khuntiterakul, P.; Nakamadee, B. Substance use and related risk behaviors among junior high school students in Nakhon Pathom province, Thailand. J. Health Res. 2022, 36, 345–353. [Google Scholar] [CrossRef]
  46. Pérez-Fuentes, M.D.C.; Molero, M.D.M.; Gázquez, J.J.; Martos, Á.; Mercader, I.; Saracostti, M. Individual variables involved in perceived pressure for adolescent drinking. Int. J. Environ. Res. Public Health 2020, 17, 2012. [Google Scholar] [CrossRef] [PubMed]
  47. Gutiérrez, T.; Espinoza, P.; Penelo, E.; Mora, M.; González, M.L.; Rosés, R.; Raich, R.M. Association of biological, psychological and lifestyle risk factors for eating disturbances in adolescents. J. Health Psychol. 2015, 20, 839–849. [Google Scholar] [CrossRef] [PubMed]
  48. Ying, W.; Mohamad, N.; Shii, L. Factors associated with binge eating behavior among Malaysian adolescents. Nutrients 2018, 10, 66. [Google Scholar] [CrossRef] [PubMed]
  49. Gomez-Sanchez, P.; Gutierrez, K.; Gutierrez, E.L. Frequency of risk factors that develop anorexia and bulimia in a private educational institution in Lima, Perú, 2017. Apunt. Univ. 2020, 10, 197–206. [Google Scholar] [CrossRef]
  50. Zhao, Z.; Ma, Y.; Han, Y.; Liu, Y.; Yang, K.; Zhen, S.; Wen, D. Psychosocial Correlates of Food Addiction and Its Association with Quality of Life in a Non-Clinical Adolescent Sample. Nutrients 2018, 10, 837. [Google Scholar] [CrossRef] [PubMed]
  51. Mora, F.; Alvarez-Mon, M.A.; Fernandez-Rojo, S.; Ortega, M.A.; Felix-Alcantara, M.P.; Morales-Gil, I.; Rodriguez-Quiroga, A.; Alvarez-Mon, M.; Quintero, J. Psychosocial Factors in Adolescence and Risk of Development of Eating Disorders. Nutrients 2022, 14, 1481. [Google Scholar] [CrossRef]
  52. Pamies-Aubalat, L.; Quiles, Y.; Torregrosa, M.S. Psychosocial profile related to disordered eating attitudes in Spanish adolescents. Curr. Psychol. 2023, 42, 20193–20202. [Google Scholar] [CrossRef]
  53. Cella, S.; Cipriano, A.; Aprea, C.; Cotrufo, P. Risk factors for binge eating severity among adolescent girls and boys. A structural equation modeling approach. Appetite 2022, 169, 105825. [Google Scholar] [CrossRef]
  54. Frieiro, P.; González-Rodríguez, R.; Domínguez-Alonso, J. Self-esteem and socialisation in social networks as determinants in adolescents’ eating disorders. Health Soc. Care Community 2022, 30, e4416–e4424. [Google Scholar] [CrossRef]
  55. Olsen, E.M.; Koch, S.V.; Skovgaard, A.M.; Strandberg-Larsen, K. Self-reported symptoms of binge-eating disorder among adolescents in a community-based Danish cohort—A study of prevalence, correlates, and impact. Int. J. Eat. Disord. 2021, 54, 492–505. [Google Scholar] [CrossRef] [PubMed]
  56. Lee, J.S.; Kwon, H.; Park, J.; Hong, H.J.; Kweon, Y.S. A latent class analysis of suicidal behaviors in adolescents. Psychiatry Investig. 2023, 20, 93–100. [Google Scholar] [CrossRef]
  57. Huang, Y.H.; Liu, H.C.; Tsai, F.J.; Sun, F.J.; Huang, K.Y.; Chiu, Y.C.; Huang, Y.H.; Huang, Y.P.; Liu, S.I. Correlation of impulsivity with self-harm and suicidal attempt: A community study of adolescents in Taiwan. BMJ Open 2017, 7, e017949. [Google Scholar] [CrossRef] [PubMed]
  58. Muñetón, M.; Uribe, I.; Trejos, A.M.; Alarcón-Vásquez, Y.; Reyes, L. Estilos de afrontamiento como predictores del riesgo suicida en estudiantes adolescentes: Coping styles as predictors of suicide risk teen students. Psicol. Caribe 2019, 36, 120–132. [Google Scholar] [CrossRef]
  59. Tang, W.C.; Lin, M.P.; You, J.; Yung-Wei, J.; Chen, K.C. Prevalence and psychosocial risk factors of nonsuicidal self-injury among adolescents during the COVID-19 outbreak. Curr. Psychol. 2023, 42, 17270–17279. [Google Scholar] [CrossRef] [PubMed]
  60. Delfabbro, P.H.; Winefield, H.R.; Winefield, A.H. Life-time and current suicide-ideation in Australian secondary school students: Socio-demographic, health and psychological predictors. J. Affect. Disord. 2013, 151, 514–524. [Google Scholar] [CrossRef] [PubMed]
  61. Fonseca-Pedrero, E.; Al-Halabí, S.; Pérez-Albéniz, A.; Debbané, M. Risk and protective factors in adolescent suicidal behaviour: A network analysis. Int. J. Environ. Res. Public Health 2022, 19, 1784. [Google Scholar] [CrossRef] [PubMed]
  62. Brausch, A.M.; Decker, K.M. Self-esteem and social support as moderators of depression, body image, and disordered eating for suicidal ideation in adolescents. J. Abnorm. Child Psychol. 2014, 42, 779–789. [Google Scholar] [CrossRef] [PubMed]
  63. Oktan, V. Self-harm behaviour in adolescents: Body image and self-esteem. J. Psychol. Couns. Sch. 2017, 27, 177–189. [Google Scholar] [CrossRef]
  64. Garbus, P.; González-Forteza, C.; Cano, M.; Jiménez, A.; Juárez-Loya, A.; Wagner, F.A. Suicidal behavior in Mexican adolescents: A test of a latent class model using two independent probability samples. Prev. Med. 2022, 157, 106984. [Google Scholar] [CrossRef]
  65. Vawda, N. The prevalence of suicidal behaviour and associated risk factors in grade 8 learners in Durban. S. Afr. Fam. Pract. 2014, 56, 37–42. [Google Scholar] [CrossRef]
  66. Ybarra, M.L.; Mitchell, K.J.; Kosciw, J.G.; Korchmaros, J.D. Understanding linkages between bullying and suicidal ideation in a national sample of LGB and heterosexual youth in the United States. Prev. Sci. 2015, 16, 451–462. [Google Scholar] [CrossRef] [PubMed]
  67. Lin, M.P.; You, J.; Ren, Y.; Yung-Wei, J.; Hu, W.H.; Yen, C.F.; Zhang, X. Prevalence of nonsuicidal self-injury and its risk and protective factors among adolescents in Taiwan. Psychiatry Res. 2017, 255, 119–127. [Google Scholar] [CrossRef]
  68. Kerpelman, J.L.; McElwain, A.D.; Pittman, J.F.; Adler-Baeder, F.M. Engagement in Risky Sexual Behavior: Adolescents’ Perceptions of Self and the Parent–Child Relationship Matter. Youth Soc. 2016, 48, 101–125. [Google Scholar] [CrossRef]
  69. Li, L.; Wang, X.; Tang, S.; Wang, J. Family functioning and problematic internet pornography use among adolescents: A moderated mediation model. Front. Public Health 2023, 11, 1199835. [Google Scholar] [CrossRef] [PubMed]
  70. Ramiro, M.T.; Teva, I.; Bermúdez, M.P.; Buela-Casal, G. Social support, self-esteem and depression: Relationship with risk for sexually transmitted infections/HIV transmission. Int. J. Clin. Health Psychol. 2013, 13, 181–188. [Google Scholar] [CrossRef]
  71. Ssewanyana, D.; Abubakar, A.; Mabrouk, A.; Kagonya, V.A.; Nasambu, C.; Dzombo, J.T.; Angwenyi, V.; Kabue, M.; Scerif, G.; Newton, C.R. The Occurrence of Sexual Risk Behaviors and Its Association with Psychological Well-Being Among Kenyan Adolescents. Front. Reprod. Health 2021, 3, 659665. [Google Scholar] [CrossRef]
  72. Thurston, I.B.; Dietrich, J.; Bogart, L.M.; Otwombe, K.N.; Sikkema, K.J.; Nkala, B.; Gray, G.E. Correlates of sexual risk among sexual minority and heterosexual South African youths. Am. J. Public Health 2014, 104, 1265–1269. [Google Scholar] [CrossRef]
  73. Munno, D.; Cappellin, F.; Saroldi, M.; Bechon, E.; Guglielmucci, F.; Passera, R.; Zullo, G. Internet Addiction Disorder: Personality characteristics and risk of pathological overuse in adolescents. Psychiatry Res. 2017, 248, 1–5. [Google Scholar] [CrossRef]
  74. Warburton, W.A.; Parkes, S.; Sweller, N. Internet Gaming Disorder: Evidence for a Risk and Resilience Approach. Int. J. Environ. Res. Public Health 2022, 19, 5587. [Google Scholar] [CrossRef]
  75. Barthorpe, A.; Winstone, L.; Mars, B.; Moran, P. Is social media screen time really associated with poor adolescent mental health? A time use diary study. J. Affect. Disord. 2020, 274, 864–870. [Google Scholar] [CrossRef]
  76. Akbari, M.; Hossein, M.; Khanbabaei, S.; Boruki, B.; Jamshidi, S.; Potenza, M.N. Potential risk and protective factors related to problematic social media use among adolescents in Iran: A latent profile analysis. Addict. Behav. 2023, 146, 107802. [Google Scholar] [CrossRef]
  77. Lin, M.P.; Yung-Wei, J.; You, J.; Hu, W.H.; Yen, C.F. Prevalence of internet addiction and its risk and protective factors in a representative sample of senior high school students in Taiwan. J. Adolesc. 2018, 62, 38–46. [Google Scholar] [CrossRef]
  78. Li, C.; Liu, D.; Dong, Y. Self-Esteem and Problematic Smartphone Use Among Adolescents: A Moderated Mediation Model of Depression and Interpersonal Trust. Front. Psychol. 2019, 10, 1–9. [Google Scholar] [CrossRef] [PubMed]
  79. Wang, H. The Effects of School Climate, Parent–Child Closeness, and Peer Relations on the Problematic Internet Use of Chinese Adolescents: Testing the Mediating Role of Self-Esteem and Depression. Int. J. Environ. Res. Public Health 2022, 19, 7583. [Google Scholar] [CrossRef] [PubMed]
  80. Tural, S.; Yeşilova, H. Internet addiction prevalence in youths and its relation with depressive symptoms, self-esteem, and bullying. Anadolu Psikiyatr. Derg. 2020, 21, 483–490. [Google Scholar] [CrossRef]
  81. Gauthier-Duchesne, A.; Hébert, M.; Blais, M. Child sexual abuse, self-esteem, and delinquent behaviors during adolescence: The moderating role of gender. J. Interpers. Violence 2022, 37, NP12725–NP12744. [Google Scholar] [CrossRef] [PubMed]
  82. Dosil, M.; Jaureguizar, J.; Bernaras, E.; Burges, J. Teen dating violence, sexism, and resilience: A multivariate analysis. Int. J. Environ. Res. Public Health 2020, 17, 2652. [Google Scholar] [CrossRef] [PubMed]
  83. Rial, A.; Golpe, S.; Isorna, M.; Braña, T.; Gómez, P. Minors and problematic Internet use: Evidence for better prevention. Comput. Human Behav. 2018, 87, 140–145. [Google Scholar] [CrossRef]
  84. Garaigordobil, M. Prevención del cyberbullying: Variables personales y familiares predictoras de ciberagresión. Rev. Psicol. Clín. Niños Adolesc. 2019, 6, 9–17. [Google Scholar] [CrossRef]
  85. Rębisz, S.; Jasińska-Maciążek, A.; Grygiel, P.; Dolata, R. Psycho-social correlates of cyberbullying among Polish adolescents. Int. J. Environ. Res. Public Health 2023, 20, 5521. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Flowchart of the document selection process.
Figure 1. Flowchart of the document selection process.
Behavsci 14 00432 g001
Table 1. Results obtained in each database.
Table 1. Results obtained in each database.
DatabaseLanguageSearch StrategyNo. of Initial ResultsNo. of Results after Applying Filters
Web of ScienceSpanish
English
(autoestima OR self-esteem) AND (conductas de riesgo OR risk behaviors) AND (adolescentes OR adolescents)45421167
PsycInfoSpanish
English
(autoestima OR self-esteem) AND (conductas de riesgo OR risk behaviors) AND (adolescentes OR adolescents)2217767
MEDLINESpanish
English
(autoestima OR self-esteem) AND (conductas de riesgo OR risk behaviors) AND (adolescentes OR adolescents)42950
Total 71891984
Table 2. Characteristics of the studies included.
Table 2. Characteristics of the studies included.
Risk BehaviourAuthorSampleCountryObjectives.
Analyse the Relationship between Self-Esteem and …
Measuring InstrumentResults
Drug
abuse
Rial et al. [38]3882
(12–18)
Spaincannabis use and self-esteemRSES Cannabis⤄SE
Anbarlouei et al. [39]1282
(14–17)
Iransmoking (cigarettes and hookahs)RSESTobacco⟺SE (−)
Hookahs⤄SE
Jongenelis et al. [40]1661
(15–17)
Australiaexpenditure on alcohol, tobacco and cannabisASQAlcohol⟺SE (−)
Tobacco and cannabis⤄SE
Pérez-Fuentes et al. [41]1287
(14–18)
Spainperceived pressure to drink alcoholRSESPressure to drink⟺SE (−)
Baheiraei et al. [42]870
(15–18)
Irantobacco and alcohol expenditureCTC-YSTobacco⟺SE (−)
Chen et al. [43]57,767
(13–16)
United Statesmarijuana use by age and sexAgreement StatementMarijuana⟺SE (−)
Mehanović et al. [44]2636
(12–14)
Sloveniaalcohol consumptionEU-Dap questionnaire Alcohol⟺SE (−)
in⬆socioeconomic status
Ninkron et al. [45]624
(12–18)
Thailandsubstance abuseValidated instrumentSubstance abuse⟺SE (−)
Pérez-Fuentes et al. [46]1287
(14–18)
Spainresistance to pressure to drink alcoholRSESAnxiety and expectatives ⟺SE⟺Pressure to drink (−)
Eating disordersGutiérrez et al. [47]448
(12–15)
Spaineating disordersRSESEating disorders⟺SE (−)
Ying et al. [48]356
(13–16)
Malaysiabinge eatingRSESBinge eating⟺SE (−)
Gomez-Sanchez et al. [49]100
(13–16)
Peruanorexia and bulimiaFRABAnorexia and bulimia⟺SE (−)
Zhao et al. [50]593
(13–17)
Chinafood addictionRSESFood addiction⟺SE (−)
Mora et al. [51]579
(12–16)
Spainrisk of eating disordersRSESEating disorders⟺SE (−)
Pamies-Aubalat et al. [52]1630
(12–18)
Spaineating disordersRSESEating disorders⟺SE (−)
Cella et al. [53]973
(12–16)
Italybinge eatingRSESParental bonding ⟺SE⟺Binge eating (−)
Frieiro et al. [54]721
(12–18)
Spaindiet, bulimia, preoccupation with food and oral controlRSESEating disorders⟺SE (−)
Olsen et al. [55]2509
(16)
Denmarkbinge eating disorderSISESBinge eating⟺SE (−)
Suicide and
self-harm
Lee et al. [56]2258
(15–18)
Republic of Koreasuicidal behaviourRSESSuicidal behaviour⟺SE (−)
Huang et al. [57]5879
(15–17)
Chinaself-harm and attempted suicideRSESSelf-harm and attempted suicide⟺SE (−)
Muñetón et al. [58]617
(14–18)
Colombiasuicidal riskSuicide Orientation Inventory ISO-30Suicidal risk⟺SE (−)
Tang et al. [59]1060
(14–16)
Taiwannon-suicidal self-harmRSESSelf-harm⟺SE (−)
Delfabbro et al. [60]2552
(14–16)
Australiasuicidal tendenciesRSESSuicidal tendencies⟺SE (−)
Fonseca-Pedrero et al. [61]1790
(14–18)
Spainsuicidal behaviourRSESSuicidal behaviour⟺SE (−)
Brausch and Decker [62]392
(14–16)
United Statessuicidal ideationRSESSE⬆: Depression⤄Suicide Ideation
Oktan [63]263
(15–18)
Turkeyself-harm and body imageRSESSelf-harm⟺SE (−)
Garbus et al. [64]4013
(12–15)
Mexicosuicidal behaviourRSESSuicidal behaviour⟺SE (−)
Vawda [65]222
(13–15)
South Africasuicidal behaviourRSESSuicidal behaviour⟺SE (−)
Ybarra et al. [66]5542
(13–18)
United Statesbullying and suicidal ideationCovariate questionnaire Suicidal ideation⟺SE (−)
Lin et al. [67]2170
(15–16)
Taiwannon-suicidal self-harmRSESSelf-harm⟺SE (−)
Risky sexual practicesKerpelman et al. [68]680
(15–18)
United Statessexual risk behavioursRSESSexual risk behaviours⟺SE (−)
Li et al. [69]771
(14–18)
Chinaproblematic use of pornography on the InternetRSESSexual risk behaviours⟺SE (−)
Ramiro et al. [70]1005
(14–18)
Spainsexual risk behavioursRSESSexual risk behaviours⟺SE (−) in women and (+) in men
Ssewanyana et al. [71]296
(12–17)
Kenyasexual risk behaviourRSESSexual risk behaviours⤄SE
Thurston et al. [72]822
(16–18)
South Africasexual risk behaviourRSESSexual risk behaviours⟺SE (−)
Harmful use of mediaMunno et al. [73]191
(14–18)
Italypathological use of the InternetMMPI-APathological use of the Internet⟺SE (−)
Warburton et al. [74]866
(12–17)
AustraliaInternet gaming disruptionRSESInternet gaming disruption⟺SE (−)
Barthorpe et al. [75]4032
(13–15)
United Kingdomtime in social networksRSES Time in networks⟺SE (−) in women and ⤄ in men
Akbari et al. [76]3375
(13–18)
Iranproblematic use of social mediaRSESProblematic use of social media⟺SE (−)
Lin et al. [77]2170
(15–16)
TaiwanInternet addictionRSESInternet addiction⟺SE (−)
Li et al. [78]637
(14–17)
Chinaproblematic smartphone useRSESSE⟺Depression⟺Use (⬆interpersonal trust=⤄)
Wang [79]960
(13–16)
Chinaproblematic Internet useCSESParental bonding ⟺SE⟺Internet use (−)
Tural and Yeşilova [80]1150
(15–18)
TurkeyInternet addictionCSEIInternet addiction⟺SE (−)
Antisocial
behaviour
Gauthier-Duchesne et al. [81]8194
(14–18)
Canadacrime by genderSelf-description questionnaire Sexual experience abuse⟺SE⟺Crime (−)
Not sexual experience abuse: SE⟺Crime (+)
Dosil et al. [82]268
(12–17)
Spaindating violenceBASC-S3
CDS
Dating violence⟺SE (−)
Rial et al. [83]3772
(12–17)
Spainproblematic Internet useRSESProblematic Internet use⟺SE(−)
Garaigordobil [84]3026
(12–18)
Spainbeing a cyber aggressorRSESCyber aggressor⟺SE (−)
Rębisz et al. [85]541
(14–15)
PolandcyberbullyingScales of the Battery of Social Functioning questionnairesCyberbullying⤄SE
SE: self-esteem. RSES: Rosenberg Self-Esteem Scale; ASQ: Adolescent Self-Esteem Questionnaire; SISES: Single-Item Self-Esteem Scale; MMPI-A: Minnesota Multiphasic Personality Inventory-Adolescent; BASC-S3: Behavior Assessment System for Children and Adolescents; CDS: Children’s Depression Scale; CTC-YS: Communities of Concern Youth; FRAB: Risk Factors Scale for Anorexia and Bulimia; CSES: Rosenberg Children’s Self-Esteem Scale; CSEI: Coopersmith SE Inventory. QS: quality score. ⟺ (variables are significantly related); ⤄ (the relationship between the variables is weak or not significant); ⬆ (high level).
Table 3. Results of the assessment of the methodological quality of the included studies.
Table 3. Results of the assessment of the methodological quality of the included studies.
AuthorTotal ScoreSelection ComparabilityResult
Representativeness of SampleSample SizeNon-RespondentExposure CheckDesign and AnalysisEvaluation ResultsStatistical Test
Rial et al. [38]7** *****
Anbarlouei et al. [39]8********
Jongenelis et al. [40]6** ** **
Pérez-Fuentes et al. [41]6** ** **
Baheiraei et al. [42]7** *****
Chen et al. [43]7***** **
Mehanović et al. [44]6** ** **
Ninkron et al. [45]6** ** **
Pérez-Fuentes et al. [46]6** ** **
Gutiérrez et al. [47]6** ** **
Ying et al. [48]7***** **
Gomez-Sanchez et al. [49]7** *****
Zhao et al. [50]7***** **
Mora et al. [51]6** ** **
Pamies-Aubalat et al. [52]6** ** **
Cella et al. [53]6** ** **
Frieiro et al. [54]6** ** **
Olsen et al. [55]7** *****
Lee et al. [56]6** ** **
Huang et al. [57]8********
Muñetón et al. [58]8********
Tang et al. [59]8********
Delfabbro et al. [60]6** ** **
Fonseca-Pedrero et al. [61]6** ** **
Brausch and Decker [62]7** *****
Oktan [63]6** ** **
Garbus et al. [64]7** *****
Vawda [65]6** ** **
Ybarra et al. [66]6** ** **
Lin et al. [67]8********
Kerpelman et al. [68]7** *****
Li et al. [69]8********
Ramiro et al. [70]6** ** **
Ssewanyana et al. [71]7** *****
Thurston et al. [72]6** ** **
Munno et al. [73]6** ** **
Warburton et al. [74]7** *****
Barthorpe et al. [75]7** *****
Akbari et al. [76]6** ** **
Lin et al. [77]7***** **
Li et al. [78]8********
Wang [79]7***** **
Tural and Yeşilova [80]7** *****
Gauthier-Duchesne et al. [81]6** ** **
Dosil et al. [82]6** ** **
Rial et al. [83]7** *****
Garaigordobil [84]6** ** **
Rebisz et al. [85]7***** **
SELECTION, maximum 5 asterisks. Representativeness of Sample: * random or non-random sampling. Sample Size: * justified. Non-Respondents: * comparability between respondent and non-respondent characteristics is established and response rate is satisfactory. Exposure Check: ** validated measurement tool; * measurement tool not validated but described or available. COMPARABILITY, maximum 2 asterisks. Design and Analysis: *study controls for the most important confounding factor; * study controls for any additional factors. OUTCOME, maximum 3 asterisks. Evaluation Results: ** independent blinded assessment; ** record linkage; * self-reporting. Statistical Test: * the test used to analyse the data is described and appropriate, and the measure of association, including confidence intervals and probability level (p-value), is presented.
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Martínez-Casanova, E.; Molero-Jurado, M.d.M.; Pérez-Fuentes, M.d.C. Self-Esteem and Risk Behaviours in Adolescents: A Systematic Review. Behav. Sci. 2024, 14, 432. https://doi.org/10.3390/bs14060432

AMA Style

Martínez-Casanova E, Molero-Jurado MdM, Pérez-Fuentes MdC. Self-Esteem and Risk Behaviours in Adolescents: A Systematic Review. Behavioral Sciences. 2024; 14(6):432. https://doi.org/10.3390/bs14060432

Chicago/Turabian Style

Martínez-Casanova, Elena, María del Mar Molero-Jurado, and María del Carmen Pérez-Fuentes. 2024. "Self-Esteem and Risk Behaviours in Adolescents: A Systematic Review" Behavioral Sciences 14, no. 6: 432. https://doi.org/10.3390/bs14060432

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