SciELO - Scientific Electronic Library Online

 
vol.37 issue4Use of antibiotics in inpatients from a national hospital in Lima, PeruEffect of Rural and Marginal Urban Health Service on the physicians’ perception of primary health care in Peru author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista Peruana de Medicina Experimental y Salud Publica

Print version ISSN 1726-4634

Rev. perú. med. exp. salud publica vol.37 no.4 Lima Oct-Dec 2020  Epub Nov 03, 2020

http://dx.doi.org/10.17843/rpmesp.2020.374.5154 

Original articles

Factors associated with attitudes towards violence in schoolchildren from marginal urban areas of Metropolitan Lima, 2019

Jhon Alex Zeladita-Huaman, Bachelor of Science in Nursing, Master in Health Management
http://orcid.org/0000-0002-5419-5793

Iván Montes-Iturrizaga, Degree in Psychology, Doctor of Educational Sciences
http://orcid.org/0000-0002-9411-4716

Gladys Ivonne Moran-Paredes, Industrial Engineer, Doctor of Business Administration
http://orcid.org/0000-0002-9618-5593

Roberto Zegarra-Chapoñan, Bachelor of Science in Nursing, Master in Public Management
http://orcid.org/0000-0002-0471-9413

Juana Matilde Cuba-Sancho, Bachelor of Science in Nursing, Master in Nursing with mention in Teaching
http://orcid.org/0000-0002-9803-1571

Juan Pablo Aparco, Bachelor of Science in Nutrition, Master in Public Nutrition
http://orcid.org/0000-0001-9159-7997

1 Departamento Académico de Enfermería, Universidad Nacional Mayor de San Marcos, Lima, Perú.

2 Escuela de Posgrado, Universidad María Auxiliadora, Lima, Perú.

3 Facultad de Ciencias Empresariales, Universidad María Auxiliadora, Lima, Perú.

4 Departamento Académico de Nutrición, Universidad Nacional Mayor de San Marcos, Lima, Perú.

INTRODUCTION

Bullying is a form of violence and is a social problem that affects adolescents worldwide. The World Health Organization (WHO) reports that 34% of schoolchildren was bullied in the month prior to the survey and that 40% was involved in a fight the previous year; it also notes that schoolchildren are exposed to other forms of violence such as cyberbullying 1. Likewise, the United Nations Children’s Fund (UNICEF) states that 1 out of 3 students between 13 and 15 years old experienced bullying and 3 out of 10 adolescents admitted to bull others at school 2. Meanwhile, in Latin America and the Caribbean, the prevalence of school bullying is between 20 and 30% and that of cyber-bullying between 2.5 and 42.5% 3 , 4.

In Peru, Romani et al. estimated that the prevalence of high school students who report being victims of school violence was 56.4% 5, and Oriol et al. reported that 59.4% of adolescents witnessed violent behavior in the educational institution (EI) and 40.5% were abused or insulted by their peers 6. Meanwhile, the Sistema Especializado en Reporte de Casos sobre Violencia Escolar (SíseVe) of the Ministerio de Educación (MINEDU) shows, for the period 2015 to 2019, that the cases in Lima increased four times and almost three times in the entire country 7. In addition, the longitudinal study Children of the Millennium reported that the main reason why children are not comfortable in school is because they are victims of aggression by their peers 8.

In the education sector, children’s attitudes have been reported to be the psychological causes of violent behavior 9 , 10. In addition, school violence is associated with attitudes towards violence (ATV) 11 , 12, as well as the attitude towards teachers and if they are considered or not as important figures for the students. Similarly, the perception of injustice in school, disdain for studying, and negative attitudes toward the EI appear as recurrent elements in violent behaviors 13.

Ruiz et al., based on the premise that attitude guides behavior 14, defined attitude as a predisposition to act spontaneously 15; and developed a questionnaire that evaluates ATV considering items that explore specific thoughts, feelings and behaviors of peer violence during school. This instrument was applied in several countries and reported that men have higher levels of ATV than women 16.

Scientific literature describes that ATV are related to the perception towards the EI, having a history of victimization 17, competitiveness and self-esteem 18. Other studies conducted in Spain 19, Turkey 20, and the United States 21 reported contradictory results regarding the association between ATV with sex and the year of study of adolescents. We have not found Peruvian studies that explore the factors associated with ATV, despite the need for this information, for a better understanding and analysis of the social phenomenon. From this perspective, the aim of this study was to identify the factors associated with ATV in children from public schools located in marginal urban areas of Metropolitan Lima in 2019.

KEY MESSAGES

Motivation for the study: There are contradictions in previous reports on school violence (SV) depending on adolescents’ gender; besides, evidence of factors associated with attitudes towards violence (ATV) in Peru is limited.

Main findings: Males are more likely than females to have ATV. Age and sex were factors associated with ATV in adolescents in public educational institutions in marginal urban areas of Lima.

Implications: There is an evident need to include the gender perspective in ATV research and to implement public policies to reduce this social phenomenon.

MATERIALS AND METHODS

Population and sample

An observational, descriptive, and cross-sectional study was conducted to identify factors associated with ATV in regular basic education school children from primary and secondary schools.

The study population consisted of children enrolled at public schools in 2019 and who attended classes between August and December of the same year. The study was carried out in the marginal urban areas of eight districts of Metropolitan Lima, where twelve public schools were identified. These schools were co-educational (male and female students), had a student population of between 750 and 1,500 students per year (flagship schools) and provided primary and secondary education.

In the first stage of sampling, the selection of EIs was non-probability; the second stage was census-type for each EI, that is, all children from sixth grade in primary school to third grade of secondary school, who met the eligibility criteria, were included. The inclusion criteria were to be a schoolchild between 11 and 16 with regular school attendance, who has given informed consent and whose parents agreed to sign the informed consent. The exclusion criteria were to have a physical or mental disability that makes it difficult to complete the questionnaire.

Procedure

We invited the 12 EIs that met the inclusion criteria and scheduled the data collection day with each director of the EIs that agreed to participate. One day before data collection, parents were asked to sign the informed consent, and before the implementation of the survey, students signed the informed consent. In addition, students were reminded of the importance of their collaboration through honest and truthful responses regarding their opinion about EI. Then, the questionnaire was given to each student to complete individually in the classroom. This instrument was anonymous in order to reduce any possibility of responses motivated by social desirability.

Instrument

We used a self-administered survey with questions about the independent variables and the attitudes towards violence questionnaire (CAHV-25) that was initially developed and validated in Spain 15 and then used in Mexico without any modification 12.

It should be noted that the author of the CAHV-25 reformulated two questions of the questionnaire and added three more. The updated version (CAHV-28) was published in 2020 16.

The questionnaire was validated by experts (psychologists, health professionals and teachers), who reviewed the clarity, consistency, relevance, and sufficiency of the instrument. A pilot was carried out with 25 students of an EI from an area close to the study’s setting in order to evaluate the feasibility of the application, the duration of the survey, and comprehension by the adolescents. No difficulties in understanding were found and the estimated time of the survey was 20 minutes.

We also carried out a reliability analysis of the internal consistency of the CAHV-25 items through a Cronbach’s alpha test; the general coefficient (0.890) and by gender (men: 0.904 and women: 0.868) were obtained.

Study variables

The independent variables of the study were age, sex, level of education, number of siblings, type of family relationship (living with father/mother/father and mother, or not living with parents), having a social network account (Facebook, Twitter, Instagram, etc.) and having received at least one counseling session or having participated in at least one training session on bullying, either in the EI or in a health facility.

The ATV score and its domains were considered as dependent variables and were measured using the CAHV-25 scale, which is composed by 25 items in the Likert format with five-alternative answers ranging from “strongly disagree” to “strongly agree”. This instrument assigns scores ranging from 1 to 5 (where the statements express dispositions toward violence) except for items 6 and 24, where the score is assigned inversely (from 5 to 1). Consequently, we calculated the sum of the scores of each of the domains and the total score of the scale, the results obtained meet the following criterion: the higher the score, the higher the ATV. It should be noted that this questionnaire has four domains: “violence as a form of entertainment”, with a total score of 35 (seven items); “violence to improve self-esteem”, with a total score of 25 (five items); “violence to manage problems and social relations”, with a total score of 30 (six items); and “violence perceived as legitimate”, with a total score of 35 (seven items). The total score for the entire scale is 125.

Statistical analysis

Quantitative variables were described by using mean, standard deviation, median and interquartile range; qualitative variables were expressed in frequencies and proportions.

In addition, we carried out a bivariate analysis between the socio-demographic characteristics and the score of the ATV scale and its domains by applying the Spearman correlation test, the Mann-Whitney U test and Kruskal-Wallis H test with Dunn’s post hoc, adjusted by Bonferroni’s method.

To determine the factors associated with the ATV scale score and its domains, a multivariate analysis was carried out and since the assumption of equidispersion was not fulfilled, negative binomial regression was applied (crude and adjusted model). The total score of the ATV scale and its domains were considered as dependent variables (in 5 independent models). The absence of collinearity was verified by applying the variance inflation factor test and in each adjusted model all the independent variables were included with a p < 0.200 reported in the crude model. For all estimates, the Stata v16.0 statistical package (Stata Corporation, College Station, Texas, USA) was used, as well as a level of significance of p < 0.05.

Ethical aspects

The study was reviewed and approved by the Ethics Committee of the Universidad María Auxiliadora and was registered in the Act No. 01.

RESULTS

In Figure 1, the selection process of the study participants is shown. Initially, twelve EIs were invited, but only ten accepted. So, the study started with 702 schoolchildren from those ten EIs, and then we observed an acceptance rate of 91.5%, which resulted in 643 students.

Figure 1 Sample selection flowchart 

The average age of the students was 12.8 years (standard deviation [SD ]: 1.3) and the average number of siblings was 2.5 (SD: 1.8); in addition, the highest percentage of school children were in the sixth grade of primary school, lived with both parents, and received counseling on bullying (Table 1).

Table 1 Sociodemographic characteristics of the sample, Lima, 2019 

Characteristics n (643) %
Sex
Male 353 54.9
Female 290 45.1
Family cohabitation *
With the father 32 5.0
With the mother 161 25.3
With both parents 427 66.9
Does not live with parents 18 2.8
Has an account in a social network. **
No 134 20.9
Yes 508 79.1
Level of education
Sixth grade of Primary school 232 36.1
First grade of Secondary school 170 26.4
Second grade of Secondary school 138 21.5
Third grade of Secondary school 103 16.0
Received counseling on bullying **
No 210 32.7
Yes 432 67.3

* 638 students answered

** 642 students answered

Attitudes towards violence

The highest scores for violence were observed in the domain of “violence perceived as legitimate” with a median of 17 (interquartile range [IQR ]: 15-20), while the lowest was in the domain of “violence to improve self-esteem” with a median of 8 (IQR: 6-10) (Table 2).

Table 2 Description of the scores of the attitudes towards violence scale among school children, Lima, 2019 

Attitudes towards violence scale (n = 643) Median (IQR)
Domains
Violence as a form of entertainment 13 (10-16)
Violence to improve self-esteem 8 (6-10)
Violence to manage problems and social relations 10 (8-13)
Violence perceived as legitimate 17 (15-20)
Total Scale Score 48 (40-57)

IQR: interquartile range.

During the bivariate analysis, we observed that the higher scores in the domains of “violence as a form of entertainment”, “violence perceived as legitimate”, and the total score of the ATV scale were associated with older age, being male, having a social network account, and higher levels of education (Table 3). In addition, the same table shows that higher scores in the domains of “violence to improve self-esteem” and “violence to manage problems and social relations” were only associated with being male and higher levels of education.

Table 3 Association of the sociodemographic characteristics of the sample with the scores of the attitudes towards violence scale (bivariate analysis) 

* Expresses Spearman’s Rho correlation coefficient

† Spearman correlation coefficient test.

† † Mann-Whitney U test.

‡ Kruskal-Wallis H test.

Equal superscript letters express statistically significant difference in columns of medians between categories of instruction by Dunn’s post hoc test, adjusted by Bonferroni’s method.

IQR: interquartile range.

Regarding the multivariate analysis without an adjustment for the scores of the ATV scale and its domains in school children, we found significant association between the score of the domain “violence as a form of entertainment and age”, sex, having a social network account and level of education; scores for the domains “violence to improve self-esteem” and “violence to manage problems and social relations” were significantly associated with sex and level of education, while scores for the domain “violence perceived as legitimate” and the total ATV scale score were significantly associated with age, sex, and level of education (Table 4).

Table 4 Multivariate model without adjustment for scores of the Attitudes towards Violence Scale and its domains in school children, Lima, 2019 

βc: crude beta coefficient of the negative binomial regression. 95% CI: 95% confidence interval.

Number of observations for the adjusted model: violence as a form of entertainment (n = 631); violence to improve self-esteem (n = 643); violence to manage problems and social relations (n = 642); violence perceived as legitimate (n = 642); total score of the Attitude towards Violence Scale (n = 642).

Table 5 shows the results of the multivariate analysis and we can observe that sex was an associated factor for all domains including the total score of the ATV scale (p < 0.001), showing that being male increased the total score by 0.12. In the domain of “violence as a form of entertainment”, it was found that attending the third year of secondary school increased the score by 0.17 (p = 0.006). In addition, age showed a significant association with the domain of “violence perceived as legitimate” and the total score of the ATV scale, showing that for each year the score increased by 0.02 in both cases (p = 0.007 and p = 0.012, respectively).

Table 5 Adjusted multivariate model for scores on the Attitudes Towards Violence Scale and its domains in school children, Lima, 2019 

βa: adjusted beta coefficient of the negative binomial regression

95% CI: 95% confidence interval.

Number of observations for the adjusted model: violence as a form of entertainment n = 631; violence to improve self-esteem n = 643; violence to manage problems and social relations n = 642; violence perceived as legitimate n = 642; total score of the Attitudes towards Violence Scale n = 642.

McFadden-adjusted Pseudo R2 for the model of violence as a form of entertainment = 0.013; violence to improve self-esteem = 0.005; violence to manage problems and social relations = 0.003; violence perceived as legitimate = 0.004; total score of the Attitudes Toward Violence Scale = 0.005.

a Adjusted for age, sex, has an account in some social network, and level of education.

b Adjusted for age and sex.

c Adjusted for sex and if he/she has a social network account.

d Adjusted by age, sex and if he/she has a social network account.

DISCUSSION

Our study, carried out in school children of ten public EIs in marginal-urban areas of Metropolitan Lima, determined that sex is associated with all four domains and with the total score of the ATV scale, and that age is associated with one domain and with the total score of the ATV scale. This finding indicates that during the gender identity development and the socialization process, changes in the ATV could be taking place in the educational environment. Furthermore, considering that attitudes are dispositions to act in a certain way and from a gender perspective, it could be said that differences in the predisposition towards violence are derived from the different behaviors between men and women 22.

In accordance with our results, several studies reported the association between sex with ATV and its domains 15 , 16 , 23. Another author also reported the association between sex and ATV and included subscales that assessed attitudes toward gratuitous violence, violence linked to self-protection, and general violence 24; in addition, other studies reported association of attitudes toward violence with gender 18 , 20. In contrast, a research involving adolescents with externalizing behavior disorder reported that there was no association between the dimensions of ATV and gender 19. Another study about validation of a scale comprising interpersonal ATV against their peers and other aspects such as corporal punishment, crime and war, reported that there is no association with sex; however, they point out that boys show higher scores compared to girls 21.

It is necessary to point out that the gender variable could partly reflect the historical inequalities and discriminations resulting from power relationships built in the different social spheres starting from the family itself, which represents a structural factor 25. These findings and the reports of other researchers indicate that sex is a factor associated with ATV, which shows that males are more predisposed to violence than females, especially when scales are used that mainly evaluate interpersonal relationships with their peers.

Another important finding was the weak but statistically significant positive correlation between age and both, the domain “violence perceived as legitimate” and the total ATV scale score. This result is similar to that reported by research in Colombia, which indicated that younger school children (9 to 11 years old) have lower scores on the ATV domains, especially in D1 and D4, compared to older school children (15 to 17 years old) 4. In another study of secondary school children in Turkey, age was reported to influence trends in violence 18. Other authors also report the association between age and bullying 23. These studies confirm that age is a factor associated with ATV.

In this research, we determined that there are differences between the scores of the ATV according to year of studies for only one domain; however, this variable was not a factor associated with ATV. This result is similar to what was reported by studies carried out in Spain, however, these did not evaluate the effect of collinearity 15 , 16. In this regard, a study conducted in a Peruvian region reported that adolescents in the third year of secondary school are 2.2 times more likely to be involved in bullying 23. This last point leads us, from an evolutionary perspective, to point out that regarding violence, both attitude and behavior reach their highest point in the upper years in the form of progressive increase.

Unlike other scales, the CAHV-25 only considers aspects related to peer violence in students from primary and secondary school, and, in addition, presents high statistical reliability in its four domains or subscales. Subsequently, Tejedo et al. 26 validated the ATV scale, which is used mainly in physical education students. In 2020, Bonilla et al. 27 ) published the validation of a school-based ATV scale (AVE-E) for the secondary level education in Peru, in which they not only evaluate attitudes and emotional responses to violence, but also the perception of violent behavior and social comparison.

Among the possible limitations, the potential for inference of our findings is diminished by the choice of intentional non-probabilistic sampling. However, our initial purpose was to generate systematic knowledge for the empirical-theoretical research instead of approaching it from a prevalence and incidence viewpoint. In addition, we considered mixed EIs with similar characteristics in terms of number of students enrolled and sections per year. On the other hand, we minimized biases and social desirability because data collection guaranteed the anonymity of the informant. Similarly, and thanks to the training of the instrument’s applicators, standard conditions were guaranteed in all cases.

In conclusion, we found that for adolescents from public EIs in urban-marginal areas of Lima, sex was a factor associated with ATV and all domains, while age was a factor associated with ATV and only one domain. In this scenario, adolescent boys have more prone attitudes towards violence compared to adolescent girls and there is a weak positive correlation between age and ATV scores. In addition, there are differences in ATV by level of education. The highest scores were found in the domain of “violence perceived as legitimate”.

These findings represent relevant information to suggest that the analysis of school violence should take gender and age into account. Likewise, the emphasis on the gender variable and its relevance can serve as support for the development of predictive models for aggressive behavior 28. Finally, to implement effective interventions aimed at reducing ATV and its evident manifestations in adolescents, the gender approach must be considered, taking into account that attitudes predispose to action (observable behaviors).

REFERENCES

1. Organización Mundial de la Salud. Preventing violence through schools. Bulletin of the World Health Organization [Internet]. OMS; 2019 [citado el 30 de mayo de 2020]. Disponible en: https://apps.who.int/iris/bitstream/handle/10665/326943/PMC6705508.pdf?sequence=1&isAllowed=y. [ Links ]

2. UNICEF. A familiar face: violence in the lives of children and adolescents [Internet]. New York: United Nation's Children's Fund; 2017 [citado el 30 de mayo de 2020]. Disponible en: https://data.unicef.org/resources/a-familiar-face. [ Links ]

3. Herrera López M, Romera EM, Ortega Ruiz R. Bullying y cyberbullying en Latinoamérica: un estudio bibliométrico. Revista Mexicana de Investigación Educativa. 2018;23(76):125-55. [ Links ]

4. Erazo Santander OA. Descripción, tipología e intencionalidad de la intimidación escolar en estudiantes de sexto a octavo de bachillerato. Psicogente. 2018;21(40):106-23. doi: 10.17081/psico.21.40.3078. [ Links ]

5. Romaní F, Gutiérrez C. Auto-reporte de victimización escolar y factores asociados en escolares peruanos de educación secundaria, año 2007. Revista Peruana de Epidemiología. 2010;14(3):201-209. [ Links ]

6. Oriol X, Miranda R, Amutio A, Acosta HC, Mendoza MC, Torres-Vallejos J. Violent relationships at the social-ecological level: A multi-mediation model to predict adolescent victimization by peers, bullying and depression in early and late adolescence. PLoS ONE. 2017;12(3):1-15. doi: 10.1371/journal.pone.0174139. eCollection 2017. [ Links ]

7. Ministerio de Educación. SISEVE Contra la violencia escolar [Internet]. MINEDU; 2018 [citado el 8 de junio de 2020]. Disponible en: http://www.siseve.pe/web/. [ Links ]

8. Sánchez A, Hidalgo A. Medición de la prevalencia de la violencia física y psicológica hacia niñas, niños y adolescentes, y sus factores asociados en el Perú. Evidencias de Niños del Milenio. En: Avances de Investigación: Etnicidad, género, ciudadanía y derechos [Internet]. GRADE; 2019 [citado el 8 de junio de 2019]. Disponible en: https://www.grade.org.pe/wp-content/uploads/GRADEai38.pdf. [ Links ]

9. Varela Garay RM, Ávila ME, Martínez B. Violencia escolar: Un análisis desde los diferentes contextos de interacción. Psychosocial Intervention. 2013;22(1):25-32. doi: 10.5093/in2013a4. [ Links ]

10. García KM, Orozco AE, Marín A. Creencias culturales y actitudes hacia la violencia como determinantes de la violencia escolar en adolescentes. Congreso Internacional de Investigación Academia Journals. 2017. [ Links ]

11. Chokprajakchat S, Kuanliang A, Sumretphol N. Correlation between attitude toward violence and peer victimization. Kasetsart Journal of Social Sciences. 2019;40(1):193-7. doi: 10.34044/j.kjss.2019.40.1.13. [ Links ]

12. Orosco AE, Mercado M del R. Actitudes hacia la violencia y creencias culturales en adolescentes involucrados en violencia escolar. Anuario de Psicología. 2019;49(2):94-103. doi: 10.1344/anpsic2019.49.10. [ Links ]

13. Martínez Ferrer B, Murgui Pérez S, Musitu Ochoa G, Monreal-Gimeno M del C. El rol del apoyo parental, las actitudes hacia la escuela y la autoestima en la violencia escolar en adolescentes. International Journal of Clinical and Health Psychology. 2008;8(3):679-92. [ Links ]

14. Schuette RA, Fazio RH. Attitude Accessibility and Motivation as Determinants of Biased Processing: A Test of the MODE Model. Personality and Social Psychology Bulletin. 1995;21(7):704-10. doi: 10.1177/0146167295217005. [ Links ]

15. Ruiz JA, Llor L, Puebla T, Llor B. Evaluación de las creencias actitudinales hacia la violencia en centros educativos: el CAHV-25. European Journal of Education and Psychology. 2009;2(1):25-35. [ Links ]

16. Ruiz JA, Pina D, Puente E, Luna A, Llor B. Attitudes towards School Violence Questionnaire, Revised Version: CAHV-28. The European Journal of Psychology Applied to Legal Context. 2020;12(2):61-8. doi: 10.5093/ejpalc2020a8. [ Links ]

17. Ramsay D, Steeves M, Feng C, Farag M. Protective and Risk Factors Associated With Youth Attitudes Toward Violence in Canada. Journal of Interpersonal Violence. 2017;1(25):1-25. doi: 10.1177/0886260517736275. [ Links ]

18. Karayagiz G, Coskun S, Sarlak D. An Analysis of the Relationship Between High School Students' Tendency Toward Violence, Self-Esteem, and Competitive Attitude. Journal of Interpersonal Violence. 2017;1(21):1-21. doi: 10.1177/0886260517723742. [ Links ]

19. Jiménez JA, Ruiz JA, Velandrino AP, Llor L. Actitudes hacia la violencia, impulsividad, estilos parentales y conducta externalizada en adolescentes: comparación entre una muestra de población general y una muestra clínica. Anales de Psicología. 2016;32(1):132-8. [ Links ]

20. Altin M, Demir H, Demirel H, Yalçin YG, Bugdayci S. High school students' violence tendencies. European Journal of Education Studies. 2017;3(8):424-35. doi: 10.46827/ejes.v0i0.933. [ Links ]

21. Davidson MM, Canivez GL. Attitudes Toward Violence Scale: Psychometric Properties With a High School Sample. Journal of Interpersonal Violence. 2012;27(18):3660-82. doi: 10.1177/0886260512447578. [ Links ]

22. Ferrer Pérez VA, Bosch-Fiol E. El Género en el Análisis de la Violencia contra las Mujeres en la Pareja: de la "Ceguera" de Género a la Investigación Específica del Mismo. Anuario de Psicología Jurídica. 2019;29(1):69-76. doi: 10.5093/apj2019a3. [ Links ]

23. Solar Armas MA, Gutiérrez Crespo HF, Ruiz Arias RA. Factores asociados a la presencia de bullying en estudiantes de educación secundaria de un colegio estatal en el distrito el Porvenir, Perú. Revista Internacional de Salud Materno Fetal. 2019;4(1):10-21. [ Links ]

24. Menéndez JI, Fernández Río J. Actitudes hacia la violencia y papel importante del alumnado en el aula de educación física. Revista Complutense de Educación. 2018;29(4):1293-1308. doi: 10.5209/RCED.55352. [ Links ]

25. Scott JW. El género: una categoría útil para el análisis histórico. En: Historia y género: las mujeres en la Europa moderna y contemporánea [Internet]. 1990 [citado el 8 de junio de 2020]. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=2226823. [ Links ]

26. Tejero González C. Tolerancia y Adolescencia. Edad, género y nacionalidad: análisis comparativo. Al Sur Revista de Investigación y Experiencias Educativas. 2004;4:72-6. [ Links ]

27. Bonilla C, Rosario FJ, Rivera O, Muñoz H, Rivera IC. Construcción de una escala de actitud hacia la violencia escolar en adolescentes del Callao, Perú. Revista de Difusión cultural y científica de la Universidad La Salle en Bolivia. 2020;19:49-76. [ Links ]

28. Domínguez J, López A, Nieto B. Violencia escolar: diferencias de género en estudiantes de secundaria. Revista Complutense de Educación. 2019;30(4):1031-44. doi: 10.5209/rced.59997. [ Links ]

Funding: This study was funded by the Dirección de Investigación y Creatividad Intelectual of the Universidad María Auxiliadora.

Cite as: Zeladita-Huaman JA, Montes-Iturrizaga I, Moran-Paredes GI, Zegarra-Chapoñan R, Cuba-Sancho JM, Aparco JP. Factors associated with attitudes towards violence in schoolchildren from marginal urban areas of metropolitan Lima, 2019. Rev Peru Med Exp Salud Publica. 2020;37(4). doi: https://doi.org/10.17843/rpmesp.2020.374.5154.

Received: January 23, 2020; Accepted: July 16, 2020

Correspondence: Juan Pablo Aparco Balboa Jr. Tizón y Bueno 276, Jesús María, Lima, Perú. juanpabloaparcobalboa@gmail.com

Authors’ contributions:

JAZ, GIM and JMC conceived and designed the study. JAZ, RZ and JMC collected the data. JAZ, IM and JPA analyzed and interpreted the data. All authors participated in the writing and approval of the final version of the article.

Conflicts of interest:

The authors have no conflict of interest to declare.

Creative Commons License Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons