Literature DB >> 31598124

Bullying and Victimization among Students Bears Relationship with Gender and Emotional and Behavioral Problems.

Maryam Mohseny1, Zahra Zamani1, Shahin Akhondzadeh Basti2, Mohammad-Reza Sohrabi1, Ali Najafi3, Jayran Zebardast4, Farzad Tajdini1.   

Abstract

Objective: Bullying and victimization are common and serious problems in schools resulting in development of emotional and behavioral disorders in adolescents. This study aimed at examining the prevalence of bullying behavior and some of its associated factors among students. Method : This was a cross sectional analytic study involving junior high schoolers in grades seven, eight and nine. This study was part of an international study that used a questionnaire as a tool for data collection. The questionnaire investigated some of the characteristics and qualities possessed by most juveniles and some occasional problems which they may experience. Also, it was used to examine participants' experiences with bullying and victimization. This questionnaire comprised of 15 sections on demographic characteristics, individual health, family status and types of bullying experiences at school and outside of school, along with the Strengths and Difficulties Questionnaire (SDQ), which is an instrument for screening emotional and behavioral problems in children and adolescents. A multistage cluster sampling from five regions, consisting of the north, south, west, east, and central regions of Tehran, was conducted and 1456 questionnaires were completed by the students.
Results: According to the results of this study, prevalence rate for bullying and victimization was 17.4% and 25.8%, respectively. The results indicated that gender had a significant relationship with bullying and victimization, with boys being more likely to be bullies and also more prone to victimization than girls (p < 0.001). Other parameters such as emotional, behavioral, and environmental influence also had a significant relationship with bullying and victimization.
Conclusion: Bullying is more prevalent in boys than in girls, and boys are more likely to be victimized as well. Emotional and behavioral problems are identified as risk factors, and future interventions should focus on these risk factors to develop preventive measures.
Copyright © Psychiatry & Psychology Research Center, Tehran University of Medical Sciences.

Entities:  

Keywords:  Adolescent; Bullying; Prevalence; School of Health; Victimization

Year:  2019        PMID: 31598124      PMCID: PMC6778606     

Source DB:  PubMed          Journal:  Iran J Psychiatry        ISSN: 1735-4587


Bullying is defined as a proactive form of aggression which is intentional, repeated over time, and characterized by a power imbalance between the perpetrator and the victim (1). There are three different key players involved in bullying: the bully, the victim, and the bully-victim. Bullying has been classified by two modes and three types. Modes of bullying are direct and indirect and types of bullying are physical, such as hitting and kicking, verbal, such as name-calling, taunting, and threatening, and psychological (social exclusion, isolation, and malicious gossip) (2,3). Bullying behaviors are found in both genders in all racial and ethnic groups, in different cultures, and in all socioeconomic groups. Negative impacts of bullying are felt by individuals, families, schools, and the society. Thus, it is an important public health issue that has gained worldwide attention in the past decade (4). Dan Olweus was the first person who paid attention to the bullying phenomenon in the late 1970s (1). Results of an international research on bullying and victimization have shown a wide range of difference around the world from 12% in Australia to 83% in Saudi Arabia [5, 6]. In a recent systematic review conducted in Iran, prevalence of bullying was 30% to 65% (7). Different studies have identified several factors associated with bullying such as gender, age, physical appearance, individual tendency, and family factors, including marital conflict, domestic violence, child abuse, and low income or unemployment (8–10). Several studies have reported a relationship between bullying and health problems in school children. Bullying and victimization lead to different types of physical and psychological health problems, including nausea, headache, vomiting, abdominal pain, bed-wetting, and increased or decreased appetite. It has been reported that bullies are more likely to experience social psychological adjustment problems such as depression, loneliness, and social isolation (11). The potential consequences for victims include loss of sleep, depression, lower motivation to attend school, psychosomatic problems, low self-esteem or self-worth, and even suicide and suicidal tendencies. A good number of investigations suggest that peer victimization is an important risk factor for adolescent suicide (12–14). Additionally, there is an association between bullying and substance use among high schoolers. Higher prevalence of cigarette smoking and alcohol use was observed in victims, compared to their non-bullied peers, due to experiencing such symptoms as depression and anxiety (15, 16). A recent meta-analysis has identified 4 predictors of victimization (prior victimization, conduct problems, social problems, and internalizing problems) and also 4 predictors of bullying (conduct problems, social problems, school problems, and age) (17). Although some research has been done on bullying in Iran, far too little attention has been paid to bullying prevalence, its consequences, and related factors especially in adolescents. This study was the first to show a relationship between bullying and physical and mental health based on a detailed questionnaire, which was a part of an international comparative study in Finland representing an ongoing European and Asian interstate investigation. The recent exacerbation of violence and bullying among the adolescents has become a serious public health problem and extensive studies are necessary in this regard. The present study had two primary aims: (1) to evaluate the prevalence of bullying and victimization, and (2) to investigate any relationship between bullying and victimization experienced by junior high schoolers based on the mentioned questionnaire.

Materials and Methods

This was a cross sectional analytic study for which a multistage clusters sampling method was used and the survey included male and female students of both governmental and non-governmental institutions. Using the sample size calculation, 1456 high schoolers in grades seven, eight and nine from north, south, west, east, and central regions of Tehran were selected to participate in this study and fill out the questionnaires. Approval for this study was granted by the ethics committee of Tehran University of Medical Sciences (1394.1413). Anonymous printed questionnaires were distributed and guided by four experienced questioners (two men for boys and two women for girls’ schools) who were trained to administer the questionnaire in a consistent manner. At first, informed consent was obtained from all students. Students were assured of the confidentiality of their questionnaire responses. An average of 20 minutes was required to complete the questionnaires, and a total of 20 institutions were covered within six months in the five mentioned regions. This survey was part of an international comparative study in Finland, representing an ongoing European and Asian interstate investigation. Whereas previous studies have mostly used the Olweus questionnaire, in this study, a comprehensive questionnaire was designed for use at international level, with 15 sections: (1) demographic, (2) family status, (3) background, (4) individual health, (5) aches & sleeps, (6) thoughts about body, (7) substance use, (8) Strengths and Difficulties Questionnaire (SDQ), (9) experience about difficulties, (10) suicidality, (11) need for outside help, (12) experience of being bullied, (13) cyberbullying (not being studied in this survey), 14) bullying in general (at school, outside school, on the internet), and (15) school environment. The following information was collected and analyzed: basic information about bullying behavior (traditional bullying), psychosomatic symptoms (headache, stomachache and sleep problems), concerns about safety at schools, help-seeking behaviors, questions about risky behaviors. Also, some of the characteristics and qualities possessed by most juveniles and some occasional problems that they might have experienced were investigated. The questionnaire was used by Ander Sourander, as the main designer of the project, for the first time in 2004 and was also used in the current international study (18). Cronbach's alpha was used for reliability of the questionnaire and was calculated to be 0.73. This questionnaire was prepared based on back-translation and the Persian version of the questionnaire was used in this study. The Strengths and Difficulties Questionnaire (SDQ) (section 8) is an instrument for screening emotional and behavioral problems in children and adolescents (19, 20). The concurrent validity and internal consistency of the SDQ was evaluated comparing the subscales of the SDQ by Tehrani-Doost et al in 2009 and was found to be good and strong correlations were found among similar subscales (21). The SDQ, developed by Goodman, is an instrument for investigating mental health and behavioral problems in children and adolescents (22–26). This questionnaire was also used in previous Finland studies (27, 28). The reliability and validity of the SDQ (parent and self-report) were investigated in 1997 by Goodman et al in the UK (29, 30). SDQ is a 25-item behavioral screener and the score for each item in this structure ranges from 1 to 3 (1 = false, 3 = completely correct). In the present study, every 5 items were evaluated based on the instructions. Hence, the SDQ scales included social, hyperactivity, emotional, conduct and peer problems (23). Also, in this study, other variables such as school environment, body thought, and personal smoking and substance abuse were computed in relation to bullying and victimization (Table 3). After collecting the questionnaires, variable relationships with bullying and victimization were examined.
Table 3

Association between SDQ and Other Variables with Bullying and Victimization Presented as Mean ± SD Including Their Corresponding P-values

 Computed variables Victimization Bullying
No Yes P-Value No Yes P-Value
Mean SD Mean SD Mean SD Mean SD
Age 14.541.0414.570.950.514.521.0314.650.970.06
Height 165.679.30166.3810.440.3165.559.39167.3010.500.03
Weight 58.2313.6860.3115.930.0458.1113.8261.9916.170.002
BMI 21.194.1921.684.750.121.164.2222.094.810.01
Peer problems 1.530.351.680.40<0.0011.550.371.660.37<0.001
Conduct problems 1.500.351.590.39<0.0011.490.341.670.40<0.001
Hyperactivity problems 1.870.261.940.290.0011.880.271.950.28<0.001
social problems 1.820.331.860.340.0631.820.341.880.330.008
Emotional problems 1.400.421.580.48<0.0011.410.421.620.48<0.001
Body thought problems 2.220.292.160.290.0032.210.292.150.290.003
School environment problems 2.530.612.390.53<0.0012.520.592.350.58<0.001
Smoking and substance abuse 1.870.331.780.410.021.870.321.710.450.001

SDQ: Strengths and Difficulties Questionnaire

This study was designed to be a part of the Finnish international European and Asian interstate study. In this study, SPSS 16 software was used for statistical analysis. Descriptive and analytic statistics were used to present data distribution and to assess the association between different variables and bullying behavior. Chi-square test was used to obtain the association of demographic variables with bullying and victimization and victim or victim-bully groups. To assess the relationship between bullying behavior and quantitative variables, t test, Mann- Whitney test, and ANOVA were used. Logistic regression analysis was conducted to test a model predicting bullying behavior.

Results

A total of 1456 questionnaires were completed by the participants. Of the participants, 794 were male and 662 were female. Table 1 demonstrates the demographic characteristics of the participants. Of the participants, 54.5% were male and 45.5% were female, and most of whom were in 14-15 age group and in the 9th grade. Moreover, 88.8% of the participants studied in governmental schools; 93.6% lived with their biological parents. In a brief survey about parents' occupations in this study, it was found that most of the fathers were self-employed while most mothers were housewives.
Table 1

Demographic Characteristics of the Students

Demographic variables Variables Frequency % Demographic variables Variables Frequency %
GenderMale79454.5Mother’s occupationdoctor171.3
Female66245.5engineer teacher50.4
Age groups12-1326117.9teacher554.2
14-1594765self-employed745.6
16-1724817employee1199.1
High school grade7th grade36725.2house wife100176.4
8th grade38026.1unemployed70.5
9th grade70948.7retired332.5
High school typepublic129388.8Student backgroundTehran origin94665
private16311.2other51035
Parents with whom I livebiological parents133093.6Place of birthTehran126186.6
biological father and foster mother100.7other19513.4
biological mother and foster father70.5Native languagePersian140996.8
biological father alone141other language473.2
biological mother alone553.9Birthplace of motherTehran83457.3
Adoptive child50.4other62142.7
Father’s occupationdoctor131Native language of motherPersian129388.8
Engineer/ teacher715.4other16311.2
teacher201.5Birthplace of fatherTehran78053.6
self-employed59445other67546.4
employee44733.9Native language of fatherPersian126687
laborer453.4
unemployed151.1other language19013
retired624.7
others534
Overall, the results showed a prevalence of 17.4% for bullying, 25.7% for victimization, and 30.5% for both. Also, bullying and victimization were significantly higher in boys than in girls (p < 0.001) (Figure 1, 2).
Figure 1

Frequency Status of Bullying between Male and Female Students

Figure 2

Frequency Status of Victimization between Male and Female Students

Table 2 presents the association between demographic characteristics of the participants with bullying and victimization. Both gender and high school type had a significant association with bullying and victimization (p < 0.01). Students in the 13-14 age group had the most rate of victimization, while the most rate of bullying was observed among the 15-16 age group than other age groups.
Table 2

Association between Bullying and Victimization with Demographic Characteristics

Demographic variables Variables Victim Bullying
No Yes P-value No Yes P-Value
N % N % N % N %
Age groups12-1319575.36424.70.3222386.13613.90.25
13-1468873.125326.977082.016918.0
15-1619177.65522.420081.34618.7
GenderMale53367.126132.9<0.00162078.117421.9<0.001
Female54183.011117.057388.27711.8
Grade7th grade27775.98824.10.6731285.55314.50.1
8th grade28174.39725.729979.57720.5
9th grade51673.418726.658282.812117.2
High school typepublic96675.331724.70.01107183.621016.40.008
private10866.35533.712274.84125.2
My parents with whom I livebiological parents99475.332624.70.06109483.022417.00.28
Only father or mother6065.93134.17178.02022.0
Father’s jobdoctor1184.6215.40.611292.317.70.44
engineer5070.42129.65577.51622.5
teacher1260.0840.01680.0420.0
self-employed43874.215225.848682.510317.5
employee33174.911125.136382.17917.9
laborer3577.81022.23782.2817.8
unemployed1386.7213.31066.7533.3
retired4980.31219.75590.269.8
others4177.41222.64586.5713.5
Mather’s jobDoctor or engineer1777.3522.70.472090.929.10.46
teacher4480.01120.04887.3712.7
Self-employed5574.31925.75979.71520.3
employee9782.22117.810287.21512.8
house wife72973.426426.681181.818118.2
retired571.4228.6571.4228.6
others2578.1721.92887.5412.5
Table 3 shows a correlation between quantitative and computed variables with bullying and victimization. Significant correlations were found between non-victim & victim with weight (58.23 vs 60.31) (p = 0.04), peer problems (1.53 vs 1.68) (p < 0.001), conduct problems (1.50 vs 1.59) (p < 0.001), hyperactivity problems (187 vs 1.94) (p = 0.001), emotional problems (1.40 vs 1.58) (p < 0.001), body thought problems (2.22 vs 2.16) (p = 0.003), school environment problems (2.53 vs 2.39) (p < 0.001), and smoking and substance abuse (1.87 vs 1.78) (p = 0.02). Height, weight, BMI, peer, conduct and hyperactivity, social, emotional, body thought, school environment, and smoking and substance abuse demonstrated significant correlations with bullying. The mean of these variables in both non-bully & bully groups were as follow: height (165.5 vs 167.3) (p = 0.03), weight ( 58.1 vs 61.9) (p = 0.002), BMI (21.1vs 22.0) (p = 0.01), peer problems (1.55 vs 1.66) (p < 0.001), conduct problems (1.49 vs 1.67) (p < 0.001), hyperactivity(1.88 vs 1.95) (p < 0.001), social problems (1.82 vs 1.88) (p = 0.008), emotional problems (1.41 vs 1.62) (p < 0.001), body thought problems (2.21 vs 2.15) (p = 0.003), school environment problems (2.52 vs 2.35) (p < 0.001), and smoking and substance abuse (1.87 vs 1.71) (p = 0.001). To determine the predictability of factors such as gender, need to help others, smoking and substance abuse, and hyperactivity associated to bullying and victimization, a logistic regression analysis was performed (95% confidence interval). The computed variables were all predictive for both bullying and victimization as indicated by their p-values (Tables 4 and 5). Gender, peer problems, school environment problems, and smoking and substance abuse were found to be predictors in both bullying and victimization.
Table 4

Logistic Regression Analysis of Victimization Predictors among Students

Victimization predictors Victimization
OR CI 95% P-Value
Gender Male4.652.76-7.84<0.001
FemaleReference
Peer problems 2.271.5-4.50.02
Emotional problems 2.201.44-5.780.007
Smoking and substance abuse 2.251.77-3.30.02
Conduct problems 2.751.22-4.750.004
Body thought problems 3.051.13-4.50.03
School environment problems 2.751.27-5.950.001
Table 5

Logistic Regression Analysis of Bullying Predictors among Students

Bullying predictors Bullying
OR CI 95 % P-Value
Gender Male3.11.85-6.10<0.001
FemaleReference
Smoking and substance abuse Yes2.211.10-4.170.01
NoReference
Hyperactivity 3.021.10-8.070.01
School environment problems 0.880.18-1.050.001
Peer problems 0.700.59-2.250.002

Discussion

The initial objective of this study was to investigate the prevalence of bullying and victimization involving a population of high schoolers in grade seven, eight and nine in Tehran. According to the findings of this study, the rate of bullying was 17.4% while that of victimization was 25.7%, and the general prevalence rate was 30.5% for both. This study also illustrated that gender significantly correlated with bullying behaviors despite the fact that the bully was more likely to be from the male gender. Boys were also more likely to be victimized as opposed to girls. In a systematic review on Iranian adolescents, the bullying incidence was rated between 30% and 65.5%, with males being 2.5 folds more affected than females (7). Several investigations performed in different geographical locations worldwide have exhibited a disparity in the incidence and prevalence of bullying status (bully only, victim only, and bully and victim). A recent survey conducted in the United States reported a 26% incidence rate, with 12% for bullying and 19% for victimization in Washington (12). Other studies recorded higher incidence rates in other regions such as 38% in Iran and 83% in Saudi Arabia (5, 31). These inconsistences may result from the employed survey methodology, cultural diversity, living environment, and the size and the density of the cities. The present study revealed that bullying is committed more by male adolescents who are also more victimized, which is consistent with some previous investigations (11, 17, 32 and 33). Contrary to the studies by Lara and also by Vieno, females are more victimized than males and this disparity may be due to cultural differences between the study populations, different educational levels (grade 9-11), and different study methodology (16, 34). The second objective of this study was to investigate the relationship between bullying and victimization with demographic, physical, emotional, and behavioral characteristics. Based on findings of this study, tobacco and alcohol use have significant correlation with bullying and victimization. This should be considered in light of the fact that this was the first nationally representative study to explore the associations between bullying and triggering bullying behaviors such as tobacco and alcohol use in adolescents. Several studies have been conducted in other countries on the association between smoking or alcohol consumption in students and bullying behaviors and they confirm the results of the present study (35–37). These findings are expected because students with violent risk factors are more likely to be smokers and alcohol users and harbor bullying behaviors as well (38). The most important finding in this study was the positive and significant correlation between conduct, emotional, social, peer and hyperactivity problems (SDQ items) with bullying behaviors although social problems had a significant correlation only with bullying (not victimization). A current meta-analysis (Kljakovic et al) conducted on predictors of bullying confirmed that conduct, social, peer and school problems predict bullying behaviors. In other surveys in Finland, guided by Sourander, these factors are corroborated as a risk factor for cyber bullying (10, 12, 17 and 39). The current study found that physical problems influence bullying behaviors, as Parker's study confirms this and suggests dermal illness such as atopic dermatitis causes stigma and those affected are prone to bullying behaviors. Findings by Antonella explained that food allergies and physical inability are related to bullying. Nevertheless, Minne Fekkes states that psychosomatic and psychological disorders are related to bullying behaviors but not physical illness (12, 40 and 41). According to findings of this study, BMI, height, and weight were significantly correlated with bullying but only weight had a significant relationship with victimization. This is contrary to Johnson’s study that found obese individuals were more likely to perpetrate bullying than their normal-weight classmates or Lara's study that showed being overweight is associated only with victimization (34, 42). According to previous studies, teacher-student relationship is highly important in prohibiting violence between students. In other words, students who have a more positive interaction with their teachers feel more confident, and feelings of friendship and intimacy with a teacher will reduce incidence of maladaptive bullying behaviors. They support the findings of the present study that demonstrated school environmental problems had a significant correlation with bullying and victimization (37, 43–45). In this study, surprisingly, a significant difference was found in the rate of violence among students in public versus private high schools, finding more bullying and victimization in private high schools. However, there is scarcity of data regarding this issue. A possible explanation for these results may be lack of supervision and rigidity from teachers and school masters in private schools, and this makes students, who are prone to bullying behaviors, bully others easily. Thus, further studies with more focus on the relationship between school type and violence is suggested. Moreover, this study illustrated a relevance between victimization and birthplace (Tehran or other cities). Those who were born in Tehran were less likely to be victims. Cultural diversity, parental income, higher self-confidence, and self-esteem can possibly prevent victimization and should be investigated in future surveys. Interestingly, there were also differences in rates of bullying and victimization between students who felt they need help from others and those who did not. It is likely that individual characteristics are more significant than environmental impacts on emergence of these types of behaviors. Since primary prevention of bullying and victimization seem to be important, it is suggested that the impact of the proposed strategies on the reduction of violent behaviors in schools be examined using an empirical study with an interventional method. Another suggestion is to conduct a study of cyberbullying or electronic bullying on students because of the increasing use of digital media such as e-mails, text messages, social networks, and cellphone which can increase cyberbullying. Demographic Characteristics of the Students Association between Bullying and Victimization with Demographic Characteristics Association between SDQ and Other Variables with Bullying and Victimization Presented as Mean ± SD Including Their Corresponding P-values SDQ: Strengths and Difficulties Questionnaire Logistic Regression Analysis of Victimization Predictors among Students Logistic Regression Analysis of Bullying Predictors among Students Frequency Status of Bullying between Male and Female Students Frequency Status of Victimization between Male and Female Students

Limitation

A few limitations should be noted in this study. Firstly, due to the cross sectional nature of this investigation, the results cannot be used to establish any cause and effect interactions. Hence, to understand the causal relationships among variables, longitudinal designs are recommended. Secondly, participants for this study were only drawn from Tehran and the results may not be representative of the students in other regions of the country. Therefore, in this study, it was not possible to directly compare bullying and victimization among students in different cities. Thirdly, in this study, only junior high school students were included (grades 7–9). Since bullying is common in all ages, investigations of other grades seems necessary. Thus, bullying should be investigated in other school grades in future studies. The relatively small sample size of this study can be another limitation in this survey, meaning that study findings need to be interpreted with caution.

Conclusion

The results of this study demonstrated that gender plays a crucial role in bullying behaviors. Bullying is more prevalent in boys compared to girls and boys are more likely to be victimized. Emotional, social, conduct, peer, and hyperactivity problems have a significant correlation with bullying and victimization. There is a relationship between demographic, physical, emotional, and behavioral characteristics with bullying and victimization. Tobacco and alcohol use have a significant correlation with bullying. Efforts should continue to identify how bullying behaviors can be prevented and intervention programs can be instituted.
  30 in total

1.  School violence in Taiwan: examining how Western risk factors predict school violence in an Asian culture.

Authors:  Ji-Kang Chen; Ron Avi Astor
Journal:  J Interpers Violence       Date:  2009-12-30

2.  Assessing the Risk Factors of Cyber and Mobile Phone Bullying Victimization in a Nationally Representative Sample of Singapore Youth.

Authors:  Thomas J Holt; Sarah Fitzgerald; Adam M Bossler; Grace Chee; Esther Ng
Journal:  Int J Offender Ther Comp Criminol       Date:  2014-10-16

3.  A meta-analysis of predictors of bullying and victimisation in adolescence.

Authors:  Moja Kljakovic; Caroline Hunt
Journal:  J Adolesc       Date:  2016-04-08

4.  Self-reported strengths and difficulties in a community sample of Finnish adolescents.

Authors:  M Koskelainen; A Sourander; M Vauras
Journal:  Eur Child Adolesc Psychiatry       Date:  2001-09       Impact factor: 4.785

5.  Bullying victimization and substance use among U.S. adolescents: mediation by depression.

Authors:  Jeremy W Luk; Jing Wang; Bruce G Simons-Morton
Journal:  Prev Sci       Date:  2010-12

6.  The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burden.

Authors:  R Goodman
Journal:  J Child Psychol Psychiatry       Date:  1999-07       Impact factor: 8.982

7.  Protective Factors Against the Impact of School Bullying Perpetration and Victimization on Young Adult Externalizing and Internalizing Problems.

Authors:  Sheryl A Hemphill; Michelle Tollit; Todd I Herrenkohl
Journal:  J Sch Violence       Date:  2014

8.  Bullying and victimization of primary school children in England and Germany: prevalence and school factors.

Authors:  D Wolke; S Woods; K Stanford; H Schulz
Journal:  Br J Psychol       Date:  2001-11

9.  Bullying in schools and exposure to domestic violence.

Authors:  Anna C Baldry
Journal:  Child Abuse Negl       Date:  2003-07

10.  Prevalence of harassment and discrimination among residents in three training hospitals in Saudi Arabia.

Authors:  Naif Fnais; Muhammad al-Nasser; Mohammad Zamakhshary; Wesam Abuznadah; Shahla Al Dhukair; Mayssa Saadeh; Ali Al-Qarni; Bayan Bokhari; Taqreed Alshaeri; Nouf Aboalsamh; AbdulAziz Binahmed
Journal:  Ann Saudi Med       Date:  2013 Mar-Apr       Impact factor: 1.526

View more
  4 in total

1.  Right To Play's intervention to reduce peer violence among children in public schools in Pakistan: a cluster-randomized controlled trial.

Authors:  Rozina Karmaliani; Judith McFarlane; Hussain Maqbool Ahmed Khuwaja; Yasmeen Somani; Shireen Shehzad; Tazeen Saeed Ali; Nargis Asad; Esnat D Chirwa; Rachel Jewkes
Journal:  Glob Health Action       Date:  2020-12-31       Impact factor: 2.640

2.  Comparison of Behavioral Concerns Priorities among Iranian Adolescent Boys, Parents and Teachers: Reporting the Results of a Modified Delphi.

Authors:  Fatemeh Mohammadipour; Marjan Fathi; Manzar Amirkhani; Sarah Nouriyengejeh; Ata Pourabbasi
Journal:  Int J Community Based Nurs Midwifery       Date:  2021-01

3.  The Risk of Bullying and Probability of Help-Seeking Behaviors in School Children: A Bayesian Network Analysis.

Authors:  Katarzyna Sitnik-Warchulska; Zbigniew Wajda; Bartosz Wojciechowski; Bernadetta Izydorczyk
Journal:  Front Psychiatry       Date:  2021-05-14       Impact factor: 4.157

4.  Influence of Personality Traits and Its Interaction with the Phenomenon of Bullying: Multi-Centre Descriptive Study.

Authors:  Manuel Pabón-Carrasco; Lucia Ramirez-Baena; Nerea Jiménez-Picón; José Antonio Ponce Blandón; José Manuel Martínez-Montilla; Raúl Martos-García
Journal:  Int J Environ Res Public Health       Date:  2019-12-25       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.