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Socioeconomic inequality in violent behaviors, life dissatisfaction, and self-rated health in pediatric population: the CASPIAN-V study



Bullying, being a victim of violent behaviors, life satisfaction (LS) and self-rated health (SRH) in children and adolescents, all have consistently been recognized as vital factors in school performance and future individual life.


This cross-sectional data secondary study was a part of the fifth Childhood and Adolescence Surveillance and Prevention of Adult Non-communicable disease (CASPIAN-V) in 2015. A total of 14,400 students 7-18 years and their parents living in 30 provinces in Iran were studied. A validated questionnaire of the World Health Organization on Global School-based Health Survey (WHO-GSHS) was used to measure the outcomes and socioeconomic variables. Family’s socioeconomic status (SES) was determined using principal component analysis (PCA). The crude and adjusted odds ratios (95% confidence interval (CI)) were estimated using multiple logistic regressions for each outcome.


A total of 14,274 students completed the study, of whom 50.6% were boys. Overall, the prevalence of bullying, being a victim, life dissatisfaction (LDS), and poor SRH among students was 35.6, 21.4, 21.1, and 19.0%, respectively. In multiple-logistic regression analysis (Adjusted OR, (95%CI), students with an illiterate father and mother (1.60, (1.25-2.04), 1.28, (1.03-1.61), unemployed father (1.58, (1.29-1.81)), and one-parent family (1.32, (1.05 – 1.64) had a higher odd of Poor-SRH. Besides, a family size larger than four members (1.14, (1.03-1.25), and low-SES (1.35, (1.15-1.56), and illiteracy of the mother (1.64, (1.30-2.08) had a direct association with LDS. Mother illiteracy also increased the odds of bullying (1.77, (1.45-2.16) and being a victim (1.58, (1.26-1.98).


Some socioeconomic variables can be proposed as the statistically significant attribution of bullying and being a victim, LDS, and Poor-SRH in children and adolescents.

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Among many topics that are important to any discussion of the interface between early life experience and total health, bullying in the school setting, life dissatisfaction (LDS), and self-rated health (SRH) are increasingly documented as predictors of instant and long-run health outcomes [1,2,3].

Although bullying was regarded as a regular part of children’s growing up [4], previous studies have explained a negative association between bullying and health outcomes [5, 6]. A study in the 21 rich European countries composing the Organization for Economic Co-operation and Development (OECD) verified that 1 out of 3 children had been bullied at least once during the last 2 months [7]. In Iran, a study on a sample of middle school students revealed that 79.6% of students are involved in bullying, and 81% are suffered bullying [8].

Life satisfaction (LS) is referred to the subjectively perceived quality of life according to the personal preferences of several life domains and the satisfaction in these domains [9]. LDS has been closely related to various negative personal, behavioural, psychological, and social outcomes [10, 11]. The majority of previous research on LS (or LDS) has been conducted primarily with adult participants [10], and relatively limited studies have investigated in childhood and adolescence [12].

SRH, as a single-item health predictor [1], is to ask about an individual’s perception of their overall health status [13]. Because of SRH consequences in adult life, exploring the SRH and its associated factors in early life may be of particular interest in health research. Previous studies suggest that conceptualizing health [14] and establishing healthy behaviors [15, 16] begin in early childhood and adolescence. Further, studies indicate that it can be regarded as the predictor of mortality [17], morbidity [18] and use of health care services [16, 19].

Given that, bullying, being bullied, LDS, and SRH have consistently been recognized as vital factors associated with positive growth, good health, and well-being in adulthood and understanding the socioeconomic variables attributed to them in childhood and adolescence is important. Limited information is available on the socio-economic determinants of childhood and adolescence self-rated health [20, 21], bullying, being a victim of violent behavior and LDS in school settings, especially in low and middle-income countries. Accordingly, we sought to investigate socio-economic determinants of bullying, being bullied, LDS, and SRH.

To the best of our knowledge, no study has been conducted in Iran to investigate the socioeconomic-related determinants of bullying, being bullied, LDS, and SRH, simultaneously, based on a national survey. Thus, using data from the Childhood and Adolescence Surveillance and Prevention of Adult Non- communicable disease” (CASPIAN) survey, the present study aimed to explore socioeconomic determinants including living area, family size, maternal and paternal education level and occupation status, family composition and family socioeconomic status on bullying, being bullied, LDS, and SRH among Iranian children and adolescents. As children and adolescents are often overlooked in health policy [21], this high generalizability study was conducted to allow policymakers to broaden their focus and to better develop early life-related health policies.


This multicenter cross-sectional study was the fifth survey of a surveillance program entitled “Childhood and Adolescence Surveillance and Prevention of Adult Non- communicable disease” (CASPIAN V) study (2015). The detailed methodology and executive procedures were described previously [22]; nonetheless, here, we point to essential subjects.

CASPIAN studies include national surveys on Iranian children and adolescents. The first CASPIAN survey took place in 2003 and was repeated every 2 or 3 years.

Using a multistage, stratified cluster sampling method, a total of 14,400 schoolchildren aged 7 to18 years were recruited from urban and rural areas across 30 provinces of Iran. Forty-eight clusters of schools were randomly selected in each province as the primary sampling unit. In each cluster, 10 students (and their parents) were randomly selected, resulting in 480 samples from each province. Using the proportional to size method and with an equal sex ratio, sampling was conducted according to the student’s place of residence (urban or rural) and level of education (primary and secondary).

Questionnaires and measurements

Based on the World Health Organization- Global School-based student Health Survey (WHO-GSHS), two specific sets of questionnaires were developed for students and their parents. The student’s questionnaire was obtained from the WHO-GSHS that was translated into Persian. The validity and reliability of questionnaires have been confirmed previously. After explaining the study’s aims and executive procedure, written informed consent was obtained from all participants above the age of 16 and the parents/legal guardians of participants with 16 years of age and lower.

We developed a detailed protocol for the data collection procedures, including questionnaire filling techniques and physical examinations, and distributed it among team members. The data collection’s quality control and quality assurance were regularly monitored by the project’s Data and Safety Monitoring Board. Supervised by trained nurses, survey questionnaires were filled out anonymously. Physical examinations were performed by a trained team consisting of expert health care professionals.



Bullying was assessed by asking: “During the past 3 months, how often did you bully someone at school?”. The possible choices were: “None” (considered as no), “One to two times” (considered as yes), “Two to three times” (considered as yes) and “Four times or more” (considered as yes) [23, 24].

Being bullied (victim)

According to the Global School-based Student Health Survey (GSHS) questionnaire on psychiatric distress and violent behaviors, victims were detected by asking, “During the past 3 months, how often did you get bullied at school?” The response choices were categorized as; “None” (considered as no), “One to two times” (considered as yes), “Two to three times” (considered as yes) and “Four times or more” (considered as yes) [23, 24].

Family socioeconomic status

The methods and variables for calculating the family SES were selected based on the categories approved in the Progress International Reading Literacy Study (PIRLS) for Iran [25]. The SES data was extracted from the parents’ questionnaire. The participants’ SES was determined based on the results of principle component analysis (PCA) variables of parents’ education, occupation, possessing a private car, their school type (public/private), home type (private/rented) and having a personal computer at home. The SES score was a weighted average of the SES variables that were summarized under one main component of “SES” score. A lower score corresponded to a lower SES. The calculated score was categorized into tertiles to define SES levels. The first tertile was considered as ‘low’, and the second and third ones as ‘middle’ and ‘high’ SES, respectively [24].

Life dissatisfaction (LDS)

To evaluate Life dissatisfaction (LDS), the participants were asked to express their degree of life satisfaction according to a tenth-point scale from 1 = very dissatisfied to 10 = very satisfied. Based on the results, a score below 6 was considered as Life dissatisfaction (LDS) [26, 27].

Self-rated health (SRH)

Students’ self-rated health (SRH) was assessed through questioning about “How would you describe your general state of health?” The response choices were categorized as; “perfect,” “good,” “moderate,” and “bad” [26, 27]. We summarized the responses as either ‘not poor’ (perfect or good) or ‘poor’ (moderate or bad) SRH.

Statistical analysis

Continuous variables were expressed as mean and standard deviation (SD) and categorical variables as numbers (%). Chi-square test was used to compare the self-rated health, life satisfaction, and violent behaviors across the socioeconomic status variables. The association of socioeconomic status variables and violent behaviors, self-rated health, and life satisfaction were evaluated using different logistic regression models. Model I was a crude model (without adjustment); in model II, the association was adjusted for all socioeconomic status variables and age, simultaneously. All statistical analyses were conducted based on survey data analysis methods. Data were analyzed using the STATA package V.11.0 (Stata Statistical Software: Release 11. College Station, Texas, USA: StataCorp LP Package) and a p-value < 0.05 was considered significant.


A total of 14,274 students (50.6% boys, 49.4% girls) and at least one of their parents (out of 14,400, participation rate) completed the survey (participation rate: 99%). Table 1 shows students’ demographic and family characteristics, in total and by sex group.

Table 1 Socioeconomic characteristics and psychiatric distress according to sex: the CASPIAN-V study

Students’ mean ± SD age was 12.3 ± 3.2 years, with no significant difference between girls and boys. In girls, compared to boys, a higher percentage of mothers had a college degree (14.7% vs. 12.8%, p = 0.009) and were employed (13.7% vs. 11.8%, p < 0.001). There were no significant differences in other demographic and family characteristics between boys and girls. (Table 1).

Table 2 presents the frequency of bullying, being bullied, life dissatisfaction and poor health status according to sex and socioeconomic variables. Overall, 35.6% (95% CI: 34.9 – 36.4%) of students reported being a bully, and 21.4% (95% CI: 20.7-22.0%) of students were victims of bullying during the past 3 months. 21.1% (95% CI: 20.4 – 21.8) of our participants were dissatisfied with life and 19.0% (95% CI:18.4-19.7%) of them rated their health as poor.

Table 2 Frequency of bullying, being bullied, life dissatisfaction, and poor Self-rated health according to sex and socioeconomic variables: the CASPIAN-V study

All our outcomes including bullying, being bullied, life dissatisfaction, and poor Self-rated health were more frequent among individuals with low socioeconomic status (versus higher levels of SES), and those with an illiterate mother (versus other levels of education). (All of which with a P-values < 0.05). A higher percentage of individuals with a family size of four members and above (versus family size ≤4), single-parent family (versus two parents), and unemployed father (versus employed) were dissatisfied with their life. (All p-value < 0.05). Poor health status was less reported among those who their father had a college degree (versus below college degrees) or were employed (versus unemployed). (Both P-values < 0.05) Table 2.

A lower percentage of individuals with single parents (versus two parents) and a father with an academic education (versus below college degrees) described being bullied during the past 3 months. In addition, a lower percentage of students whose mother was employed (versus unemployed) or their father had a college degree (versus below college degrees), reported bullying someone during the past 3 months. (All p-value < 0.05) Table 2.

In the adjusted model of logistic regression analysis that all socioeconomic status variables and age were simultaneously in the model, (Table 3); higher odds of bullying someone were observed among students who lived in low SES (Adjusted OR, (95%CI): 1.21, (1.06-1.38)), two-parent family (1.39, (1.13-1.71)), and those whom their mothers had an education level ≤ diploma (1.46, (1.25-1.70)) or being an illiterate (1.77, (1.45-2.16)). Also, the odds of being the victim of violence (being bullied) were higher among students with a mother’s education level ≤ diploma (1.20, (1.01-1.43)) or being an illiterate (1.58, (1.26-1.98)), father education level below diploma (1.19, (1.03-1.38)), However, being bullied was 18% less among those who their mothers were unemployed (0.82, (0.71-0.95)) (Table 3).

Table 3 Associations of socioeconomic status variables with bullying and being bullied, the CASPIAN V study, logistic regression analysis

As presented in Table 4, students with an illiterate mother (1.64, (1.30-2.08)), low SES family (1.35, (1.15-1.56)), and family size > 4 (1.14, (1.03-1.25)), had higher odds of LDS. However, living in a two-parent family indicated an indirect association with life dissatisfaction (0.76, (0.61-0.95)). Regardless of maternal and paternal education levels less than college (≤ diploma & illiterate), and the father’s unemployment, all observations were significantly associated with higher odds of poor health status. (P-value < 0.05) (Table 4).

Table 4 Associations of socioeconomic status variables with life dissatisfaction and Poor Self-rated health: the CASPIAN V study, logistic regression analysis

There were no significant associations between other socioeconomic variables with the assessed outcomes and the crude and adjusted odds ratios were generally similar (as shown in Tables 3 and 4).


In this study, by using a nationally representative dataset from CASPIAN V, we focused on SES determinants of bullying, being bullied, LDS and poor SRH among students aged 7 to 18 years in Iran. The findings imply that among socioeconomic variables, the mother’s illiteracy increased the odds of bullying, being bullied, LDS and poor SRH among students. Further, the father’s illiteracy and low level of education, and father’s unemployment increase the odds of poor SRH. Moreover, family size > 4, single parenthood and low-SES were associated with life dissatisfaction. To our knowledge, this is the first attempt to declare socioeconomic attributions related to bullying, being bullied, LDS and poor SRH in the early life simultaneously in Iran. It is important since the influencing variables in early life pave the way for health status and well-being later in life [28].

To our knowledge, there is still no evidence on all socioeconomic factors associated with bullying in Iran. However, our finding contributes to the existing literature suggesting the role of family characteristics including parental education as an important factor related to the risk of bullying [29,30,31]. We find that the mothers’ illiteracy and low maternal education are risk factors for students to bully and get bullied. Our result is in keeping with previous findings that show low parental education level has been associated with an increased risk of bullying [30, 32, 33]. Jansen et al., using longitudinal data from a subsample of the Tracking Adolescents’ Individual Lives Survey (TRAILS) in the Netherlands found that the children of parents with low educational levels (as a marker of low socioeconomic status in families) were more likely to bully, get bullied, or bully and get bullied simultaneously [30]. In Germany, Von Marées and Petermann, using a cross-informant approach showed that low parental education levels significantly increased the chances of being a bully/victim among primary school children [33]. Nordhagen et al., in a cross-sectional comparative study conducted in the five Nordic countries, showed that children of parents with low education seemed to be bullied more often than counterparts with high education [32]. Nevertheless, some other studies revealed no statistically significant association between parental education level and bullying among children and adolescents [6, 31]. About the negative effects of low parental education on bullying one can assume that parent’s low educational level as so-called risk marker [33], can raise risk factors such as authoritarian parenting style, family stress, parental conflicts, poor communication with parents, lack of involvement and warmth in family [34] and household material deprivation [31] which are related to bullying. It was also implying that parents with low education are less involved with school activities and policies that has been a risk factor for bullying or being a bullied [35].

Our findings regarding socioeconomic variables and LDS are consistent with those of other studies [2, 10, 36,37,38]. Adolescent LDS is related to various early life experiences in the family environment [39]. Out of these early experiences, family composition including family size (i.e. number of adults living in the home) is significantly related to LDS. However, by reviewing the literature, no studies were found in other countries that explored the association of family size with LDS. Nonetheless, in Iran, with the information of 13,486 students aged 6-18 years, Kelishadi et al., found that LDS is significantly higher in students with > 4 family members [37]. It is suggested that this finding in crowded families may be related to the continuing struggle for achieving household financial resources and emotional support, low rate of room per capita, limited share of food and more conflicts between siblings leading to a low level of life satisfaction (LS) among family members. We found that families with single parents increased the likelihood of dissatisfying life among students. This finding is consistent with previous studies that showed living with single parents had an inverse relationship with LS [37, 40, 41]. In the United States, Zulling et al., with the use of the statewide data from the Youth Risk Behavior Survey (YRBS) indicated that both white male and female adolescents who reported living with two parents were significantly less likely to report LDS [41]. In our study, The mother’s illiteracy was a risk factor for LDS. A study among European American, African American, Chinese American, Mexican American, and Dominican American adolescents showed that LS was positively correlated with parental education [42]. Moreover, Crede et al. in a sample of German high school students, reported that although fathers’ education did not moderate the relationship between students’ LS scores and academic achievement, mothers’ education did [43]. Nevertheless, another study in the USA reported no statistical significance between the mother’s and father’s level of education and LS [44]. Our finding regarding family SES and LDS was consistent with different studies that show a significant direct association between low SES and LDS [36, 45, 46]. One study included a sample of 2823 Croatian high school students, authors concluded that adolescents’ perception of their family’s economic status had a modest positive correlation to LS [46]. Chappal et al. showed that students in the low SES group reported lower LS compared to middle/high SES students [45]. In Iran, Mirmoghtadaee et al. showed that compared to high family SES, low family SES increases the odds of low LS [26]. Kelishadi et al. also reported the same findings [37]. However, some studies examining the role of SES with respect to LS reported no difference in disfavor of lower SES students [47, 48].

With regard to the SLR of students with illiterate mothers and fathers, having a father with a low level of education and unemployment had a greater association with poor SRH, which was consistent with some other studies [1, 49, 50]. Goodman et al., recruiting 1179 adolescents from Princeton City School District, demonstrated that lower parent education was associated with fair–poor SRH [49]. Results from 22 European and North American countries showed that the most deprived students (i.e. students with a low level of parental education and occupation) had an odds ratio nearly three times higher than the least deprived students for self-rated poor health [50].

Strengths and limitations of the study

The study’s main strengths lie in the quantity and quality of the data, collected in a large nationally representative sample size and designed and conducted according to the standardized questionnaire of the World Health Organization on Global School-based Health Survey (WHO-GSHS). As data were drawn from a cross-sectional study, causal interpretations should be made with caution. In fact, attribution of causality might be better discovered with prospective longitudinal research in the future studies. Moreover, the sample size was very large in our study. We acknowledge that this may lead to significant findings that may be of dubious relevance.


According to the findings, some socioeconomic variables can be proposed as the statistically significant attributions of bullying, being bullied, LDS and poor-SRH in children and adolescents. Namely, parental education, father’s occupation, family size, and family’s SES can be taken into account in anti-bullying initiatives and programs related to LS and SRH promotion.

Availability of data and materials

The data that support the findings of this study is belonged to health surveillance system of ministry of health (MOH), therefore the availability of data are restricted However data upon request from the corresponding authors and with permission of MOH is available.


  1. Breidablik H-J, Meland E, Lydersen S. Self-rated health in adolescence: a multifactorial composite. Scand J Public Health. 2008;36(1):12–20.

    PubMed  Article  Google Scholar 

  2. Gilman R, Huebner S. A review of life satisfaction research with children and adolescents. Sch Psychol Q. 2003;18(2):192.

    Article  Google Scholar 

  3. Sigurdson J, Wallander J, Sund A. Is involvement in school bullying associated with general health and psychosocial adjustment outcomes in adulthood? Child Abuse Negl. 2014;38(10):1607–17.

    CAS  PubMed  Article  Google Scholar 

  4. Olweus D. Bullying at school. In: Aggressive behavior: Springer; 1994. p. 97–130.

    Chapter  Google Scholar 

  5. Arseneault L. Annual research review: the persistent and pervasive impact of being bullied in childhood and adolescence: implications for policy and practice. J Child Psychol Psychiatry. 2018;59(4):405–21.

    PubMed  Article  Google Scholar 

  6. Sourander A, Helstelä L, Helenius H, Piha J. Persistence of bullying from childhood to adolescence—a longitudinal 8-year follow-up study. Child Abuse Negl. 2000;24(7):873–81.

    CAS  PubMed  Article  Google Scholar 

  7. Unicef. A comprehensive assessment of the lives and well being of children and adolescents in the economically advanced nations, vol. 7. Florence: UNICEF Innocenti Center Card; 2007.

    Google Scholar 

  8. Khezri H, Ghavam SE, Mofidi F, Delavar A. Bullying and victimization: prevalence and gender differences in a sample of Iranian middle school students. J Educ Manag Stud. 2013;3(3):224–9.

    Google Scholar 

  9. Henrich G, Herschbach P. Questions on life satisfaction (FLZM): a short questionnaire for assessing subjective quality of life. Eur J Psychol Assess. 2000;16(3):150–9.

    Article  Google Scholar 

  10. Oberle E, Schonert-Reichl KA, Zumbo BD. Life satisfaction in early adolescence: personal, neighborhood, school, family, and peer influences. J Youth Adolescence. 2011;40(7):889–901.

    Article  Google Scholar 

  11. Suldo SM, Huebner ES. Is extremely high life satisfaction during adolescence advantageous? Soc Indic Res. 2006;78(2):179–203.

    Article  Google Scholar 

  12. Gadermann AM, Schonert-Reichl KA, Zumbo BD. Investigating validity evidence of the satisfaction with life scale adapted for children. Soc Indic Res. 2010;96(2):229–47.

    Article  Google Scholar 

  13. Jørgensen P, Langhammer A, Krokstad S, Forsmo S. Diagnostic labelling influences self-rated health. A prospective cohort study: the HUNT study, Norway. Fam Pract. 2015;32(5):492–9.

    PubMed  PubMed Central  Article  Google Scholar 

  14. Breidablik H-J, Meland E, Lydersen S. Self-rated health during adolescence: stability and predictors of change (young-HUNT study, Norway). Eur J Public Health. 2008;19(1):73–8.

    PubMed  PubMed Central  Article  Google Scholar 

  15. Marmot M, Friel S, Bell R, Houweling TA, Taylor S, Health CoSDo. Closing the gap in a generation: health equity through action on the social determinants of health. Lancet. 2008;372(9650):1661–9.

    PubMed  Article  Google Scholar 

  16. Vingilis ER, Wade TJ, Seeley JS. Predictors of adolescent self-rated health: analysis of the National Population Health Survey. Can J Public Health/Revue Canadienne de Sante'e Publique. 2002;93:193–7.

    Google Scholar 

  17. Jylhä M. What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med. 2009;69(3):307–16.

    PubMed  Article  Google Scholar 

  18. Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997:21–37.

  19. Tamayo-Fonseca N, Nolasco A, Quesada JA, Pereyra-Zamora P, Melchor I, Moncho J, et al. Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study. BMC Health Serv Res. 2015;15(1):492.

    PubMed  PubMed Central  Article  Google Scholar 

  20. Boardman JD. Self-rated health among US adolescents. J Adolesc Health. 2006;38(4):401–8.

    PubMed  PubMed Central  Article  Google Scholar 

  21. Viner RM, Ozer EM, Denny S, Marmot M, Resnick M, Fatusi A, et al. Adolescence and the social determinants of health. Lancet. 2012;379(9826):1641–52.

    PubMed  Article  Google Scholar 

  22. Motlagh ME, Ziaodini H, Qorbani M, Taheri M, Aminaei T, Goodarzi A, et al. Methodology and early findings of the fifth survey of childhood and adolescence surveillance and prevention of adult noncommunicable disease: the CASPIAN-V study. Int J Prev Med. 2017;8:4.

    PubMed  PubMed Central  Article  Google Scholar 

  23. Kelishadi R, Babaki A, Qorbani M, Ahadi Z, Heshmat R, Motlagh M, et al. Joint Association of Active and Passive Smoking with psychiatric distress and violence behaviors in a representative sample of Iranian children and adolescents: the CASPIAN-IV study. Int J Behav Med. 2015;22(5):652.

    PubMed  Article  Google Scholar 

  24. Heshmat R, Qorbani M, Ghoreshi B, Djalalinia S, Tabatabaie OR, Safiri S, et al. Association of socioeconomic status with psychiatric problems and violent behaviours in a nationally representative sample of Iranian children and adolescents: the CASPIAN-IV study. BMJ Open. 2016;6(8):e011615.

    PubMed  PubMed Central  Article  Google Scholar 

  25. Ogle LT, Sen A, Pahlke E, Jocelyn L, Kastberg D, Roey S, et al. International comparisons in fourth-grade Reading literacy: findings from the Progress in international Reading literacy study (PIRLS) of 2001; 2003.

    Google Scholar 

  26. Mirmoghtadaee P, Heshmat R, Djalalinia S, Motamed-Gorji N, Motlagh ME, Ardalan G, et al. The association of socioeconomic status of family and living region with self-rated health and life satisfaction in children and adolescents: the CASPIAN-IV study. Med J Islam Repub Iran. 2016;30:423.

    PubMed  PubMed Central  Google Scholar 

  27. Kelishadi R, Djalalinia S, Qorbani M, Mansourian M, Motlagh ME, Ardalan G, et al. Self-rated health and life satisfaction in Iranian children and adolescents at the national and provincial level: the CASPIAN-IV study. Iran Red Crescent Med J. 2016;18(12);128–43.

  28. Compton MT, Shim RS. The social determinants of mental health. Focus. 2015;13(4):419–25.

    Article  Google Scholar 

  29. Beran TN, Violato C. A model of childhood perceived peer harassment: analyses of the Canadian national longitudinal survey of children and youth data. J Psychol. 2004;138(2):129–48.

    PubMed  Article  Google Scholar 

  30. Jansen DE, Veenstra R, Ormel J, Verhulst FC, Reijneveld SA. Early risk factors for being a bully, victim, or bully/victim in late elementary and early secondary education. The longitudinal TRAILS study. BMC Public Health. 2011;11(1):440.

    PubMed  PubMed Central  Article  Google Scholar 

  31. Wolke D, Skew AJ. Family factors, bullying victimisation and wellbeing in adolescents. Longitudinal Life Course Stud. 2011;3(1):101–19.

    Google Scholar 

  32. Nordhagen R, Nielsen A, Stigum H, Köhler L. Parental reported bullying among nordic children: a population-based study. Child Care Health Dev. 2005;31(6):693–701.

    CAS  PubMed  Article  Google Scholar 

  33. Von Marées N, Petermann F. Bullying in German primary schools: gender differences, age trends and influence of parents’ migration and educational backgrounds. Sch Psychol Int. 2010;31(2):178–98.

    Article  Google Scholar 

  34. Bowes L, Arseneault L, Maughan B, Taylor A, Caspi A, Moffitt TE. School, neighborhood, and family factors are associated with children's bullying involvement: a nationally representative longitudinal study. J Am Acad Child Adolesc Psychiatry. 2009;48(5):545–53.

    PubMed  PubMed Central  Article  Google Scholar 

  35. Erginoz E, Alikasifoglu M, Ercan O, Uysal O, Alp Z, Ocak S, et al. The role of parental, school, and peer factors in adolescent bullying involvement: results from the Turkish HBSC 2005/2006 study. Asia Pacific J Public Health. 2015;27(2):NP1591–603.

    Article  Google Scholar 

  36. Chen W, Niu G-F, Zhang D-J, Fan C-Y, Tian Y, Zhou Z-K. Socioeconomic status and life satisfaction in Chinese adolescents: analysis of self-esteem as a mediator and optimism as a moderator. Personal Individ Differ. 2016;95:105–9.

    Article  Google Scholar 

  37. Kelishadi R, Qorbani M, Heshmat R, Motlagh ME, Magoul A, Mansourian M, et al. Determinants of life satisfaction in Iranian children and adolescents: the CASPIAN-IV study. Child Adolesc Mental Health. 2018;23(3):228–34.

    Article  Google Scholar 

  38. Shek DT, Liu TT. Life satisfaction in junior secondary school students in Hong Kong: a 3-year longitudinal study. Soc Indic Res. 2014;117(3):777–94.

    Article  Google Scholar 

  39. Ash C, Huebner ES. Environmental events and life satisfaction reports of adolescents: a test of cognitive mediation. Sch Psychol Int. 2001;22(3):320–36.

    Article  Google Scholar 

  40. King ALD, Huebner S, Suldo SM, Valois RF. An ecological view of school satisfaction in adolescence: linkages between social support and behavior problems. Appl Res Qual Life. 2006;1(3-4):279–95.

    Article  Google Scholar 

  41. Zullig KJ, Valois RF, Huebner ES, Drane JW. Associations among family structure, demographics, and adolescent perceived life satisfaction. J Child Fam Stud. 2005;14(2):195–206.

    Article  Google Scholar 

  42. Bradley R, Corwyn R. Life satisfaction among european american, african american, chinese american, mexican american, and dominican american adolescents. Int J Behav Dev. 2004;28(5):385–400.

    Article  Google Scholar 

  43. Crede J, Wirthwein L, McElvany N, Steinmayr R. Adolescents’ academic achievement and life satisfaction: the role of parents’ education. Front Psychol. 2015;6:52.

    PubMed  PubMed Central  Article  Google Scholar 

  44. Schlechter M, Milevsky A. Parental level of education: associations with psychological well-being, academic achievement and reasons for pursuing higher education in adolescence. Educ Psychol. 2010;30(1):1–10.

    Article  Google Scholar 

  45. Chappel AM, Suldo SM, Ogg JA. Associations between adolescents’ family stressors and life satisfaction. J Child Fam Stud. 2014;23(1):76–84.

    Article  Google Scholar 

  46. Raboteg-Šarić Z, Brajša-Žganec A, Šakić M. Life satisfaction in adolescents: The effects of perceived family economic status, self-esteem and quality of family and peer relationships. Društvena istraživanja: časopis za opća društvena pitanja. 2009;18(3 (101)):547–64.

    Google Scholar 

  47. Elmore GM, Huebner ES. Adolescents’ satisfaction with school experiences: relationships with demographics, attachment relationships, and school engagement behavior. Psychol Sch. 2010;47(6):525–37.

    Article  Google Scholar 

  48. Konu AI, Lintonen TP, Rimpelä MK. Factors associated with schoolchildren's general subjective well-being. Health Educ Res. 2002;17(2):155–65.

    CAS  PubMed  Article  Google Scholar 

  49. Goodman E, Huang B, Schafer-Kalkhoff T, Adler NE. Perceived socioeconomic status: a new type of identity that influences adolescents’ self-rated health. J Adolesc Health. 2007;41(5):479–87.

    PubMed  PubMed Central  Article  Google Scholar 

  50. Torsheim T, Currie C, Boyce W, Kalnins I, Overpeck M, Haugland S. Material deprivation and self-rated health: a multilevel study of adolescents from 22 European and north American countries. Soc Sci Med. 2004;59(1):1–12.

    PubMed  Article  Google Scholar 

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There was no external funding for this study. The authors are appreciative of the large team working on this nationwide project and the participants. The authors’ special hanks also go to Emam Ali Hospital, Clinical Research Development Unit (Alborz University of Medical Sciences).


The study was funded by Alborz University of medical science.

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Authors and Affiliations



R.H, M. Q, and R. K contributed to the idea and work plan. E. Sh, K. N and M.EM collected the data. M.AR, Sh. D and A. K carried out the analysis of the data. H. R, M.Q, R. H, and M.AR drafted and revised the manuscript incorporating the comments from the co-authors through an iterative process. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Ramin Heshmat or Roya Kelishadi.

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Ethics approval and consent to participate

The Research and Ethics Committee of Alborz University of Medical Sciences approved the study. Written informed consent was obtained from all participants above the age 16 and from the parents/legal guardians for participants below the age 16 and aged 16. All methods were performed in accordance with the relevant guidelines and regulations. Also study protocol was approved by Ethics Committee of Alborz University of Medical Sciences.

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Not applicable.

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The authors declare that they have no conflict of interest.

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Qorbani, M., Rarani, M.A., Kasaeian, A. et al. Socioeconomic inequality in violent behaviors, life dissatisfaction, and self-rated health in pediatric population: the CASPIAN-V study. BMC Psychiatry 22, 519 (2022).

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  • Adolescents
  • Bully
  • Victim
  • Children
  • Life dissatisfaction
  • Self-rated health