Abstract
Background: violence among young people, including physical fighting, is a crucial global public health concern. There is a scarcity of evidence directed at understanding the prevalence and associated factors for physical fights among adolescents in Mauritius. This study aimed to examine the prevalence physical fighting in schools and the demographic characteristics that are associated with the phenomenon. Methods: we conducted a cross-sectional analysis of nationally representative data from Mauritius with the aim of examining the 12-month prevalence of physical fighting and frequencies of related individual and social-level characteristics. We further measured the association between physical violence and adolescent parameters using binary logistic regression analyses. Results: the participants were predominantly females (53.49%) with a mean age of 14.91 (1.47) years. Within the preceding twelve months, 15.74% of the participants reported being involved in physical fights. Among other factors, the male gender (OR = 2.6, 95% CI (1.87, 3.62)), food deprivation (OR = 2.46, 95% CI (1.41, 4.32)), bullying victimization (OR = 2.81, 95% CI (2.12, 3.73)), and cigarette use (OR = 2.07, 95% CI (1.34, 3.19)) increased the likelihood of physical fighting. The other associated factors were loneliness (OR = 1.65, 95% CI (1.11, 2.43)), physical activity (OR = 1.52, 95% CI (1.09, 2.12)), early sexual debut (OR = 2.15, 95% CI (1.17, 3.95)), and alcohol use (OR = 1.56, 95% CI (1.11, 2.21)). Conclusions: physical violence is frequent among adolescents in Mauritius; however, a comparison with previous findings in similar sub-Saharan countries suggests a reducing trend. Advocates, policymakers, and other critical stakeholders need to consider the relevant demographic and behavioral factors in formulating strategies and designing public health interventions for the prevention and control of physical violence among adolescents.
1. Introduction
Violence among young people, including physical fighting, is an important concern of public health importance worldwide [1]. The prevalence of physical fighting among adolescents varies widely among studied high-income countries (HIC), from 13 to 32% among females and 37 to 69% among males [2]. Furthermore, the reporting of youth violence appears to be on the increase, being potentially related with campaigns tasked with increasing its awareness of the problem’s severity in many HICs [3]. The economic reality of youth violence is also significant. Violence among young people is estimated to account for losses of as much as 4% of the Gross National Product (GNP) of many countries [4]. Available evidence also suggests that violence among adolescents is highly prevalent in low-and-middle-income countries (LMICs) [5]. The prevalence of adolescent physical fighting varied from 34.5 to 66.3% among six countries in the western pacific region in 2017, while the rates for Egypt (2006), Ghana (2004), and Namibia (2004) were 31%, 32%, and 50.6%, respectively [5,6,7,8].
Physical fighting contributes significantly to morbidity and mortality among the world’s youth. Violence was ranked as the fourth leading cause of mortality among young people between 15 and 19 years old in 2013 [9]. Adolescents who are exposed to violence are significantly more likely to engage in unhealthy social behaviors, such as alcohol and drug abuse, as well as go on to be involved in violent and aggressive behaviors as adults [6,7,10,11,12]. Physical fighting is also associated with injuries, threats, intimidation, vulnerability, school absenteeism, and dropout [13,14].
In its 2014 technical report, the World Health Organization (WHO) observed that only one-third of the over 130 countries examined had implemented national-scale interventions to mitigate physical violence in schools. Therefore, the WHO called for a global commitment to violence prevention among all people, young and old, and for initiatives to combat violence [1]. Increasing research is directed towards understanding the risk and protective factors for physical fighting among young people as a basis for the development of preventive strategies. However, the available evidence is disproportionately from HICs, and are, therefore, not often generalizable [3,5,10,15].
Empirical data on physical fighting among adolescents in the African, while available, region are largely limited to self-reported surveys of in-school adolescents [6]. While the limitations of such surveys include the inability to ascertain exposure to violence of those who do not attend school [7], they do provide useful adjuncts to estimating the burden within school settings. These existing studies also, where available, have tended to focus on the larger and mainly English-speaking regions of the African continent, as opposed to islands nations and those with other lingua francas, such as French.
Owing to the existing paucity of information that is related to youth violence within the smaller, less studied nations of the African region, we selected Mauritius to be the subject of a secondary analysis. In the present study, we aimed to examine the prevalence physical fighting in Mauritian schools as well as the demographic characteristics that are associated with the phenomenon. Thus, the findings are anticipated to provide potentially relevant information for the development of policy and strategy development targeted at the attenuation of violent behavior among school attending youth in the region.
2. Methods
2.1. Sample
The current study is an analysis of secondary data from the 2017 Republic of Mauritius contribution to the the Global School-based Health Survey (GSHS). The methodology for the GHSH was developed through a collaboration between the World Health Organization and the United States Centers for Disease Control (CDC). The detailed methods are available elsewhere http://www.cdc.gov/gshs/ (accessed on 15 April 2021). The GSHS is a self-report survey of health-risk behaviors among school-attending adolescents. In the 2017 Mauritius GSHS, 3012 students in grades 8 to 12 were interviewed. With a 100% school and 84% students’ response rates, the survey had an overall response rate of 84%. In the dataset, 14 cases had missing values for sex, while three had no record of age. In order to align with the designed-based analysis, we included all cases in our analysis. All of the data used in this study were publicly available at http://www.cdc.gov/gshs/ (accessed on 15 April 2021).
2.2. Measurements
The outcome variable for our analysis, physical fighting, was assessed with one time in the GSHS: “During the past 12 months, how many times were you in a physical fight?” The possible responses to the item were, “0 times”, “1 time”, “2 or 3 times”, “4 or 5 times”, “6 or 7 times”, “8 or 9 times”, “10 or 11 times”, or “12 or more times”. We recoded this into a dichotomous variable. The participants who answered zero or one time were regarded as not having participated in physical fights (N = 2542), while those who the others were deemed to have participated in physical fights (N = 466), except for four respondents who had missing values for the item. Our analysis involved 13 individual and four social level independent variables. The individual variables are; age, sex, anxiety, suicide planning, loneliness, truancy, bullying victimization, physical activity, and sedentary lifestyle. The others are early sexual debut, alcohol use, marijuana use, and cigarette smoking. The social variables are food insecurity, the extent of the social network, the presence of helpful peers, and the presence of supportive parental figures. The choice of variables was based on findings of previous studies [16,17,18].
Table 1, below, contains a detailed description of these variables and the questionnaire items from which they were derived.
Table 1.
The independent variables derivation from Mauritius, GSHS survey data 2017.
2.3. Statistical Analysis
The current study used the Stata 16 (StataCorp, 2019) for all analyses. First, we examined the frequency distribution of the independent variables in the dataset. Second, we compared the distribution of the variables with respect to the dichotomous outcome variable (physical fighting). Subsequently, we assessed the statistically significant relationship between the outcome and independent variables. We used the survey version of the chi-squared test, a design-adjusted version of the Pearson’s chi-square test, for categorical variables, and the design-adjusted version of the t-test for discrete variables (number of friends and age of participants). Afterward, we created two binary logistic regression models to assess the ability of the independent t variables to predict the involvement of the participants in physical fighting. We adjusted the first model for age and sex, but included all of the variables that were statistically significant at p = 0.05 in the second model. We assessed multicollinearity among the independent variables and then tested the Goodness-of-it of the final model. The Odds ratio is reported as the measure of association between the independent and outcome variables. We present the adjusted (aOR) and unadjusted (OR) odds ratio with the respective 95% confidence intervals. All proportions—expressed in percentages—are weighted.
3. Results
Within the recall period, 15.74% (n = 466) of the participants reported being involved in two or more physical fights.
Table 2 shows the weighted distribution of all selected factors, according to the involvement in physical fights status, and their statistical significance. The bivariate analyses show that, out of seventeen attributes, three, i.e., age, number of close friends, and having helpful peers, were not statistically significantly associated with involvement in physical fights in the twelve months preceding the survey.
Table 2.
The distribution of selected factors according to categories of physical fighting among school-attending adolescents in Mauritius, GSHS 2017.
Table 3 shows the age and sex adjusted analysis for all the attributes studied. The sex and age variables were each, adjusted for the other. With the exception of age, physical activity, and having helpful peers, all other attributes were found to be statistically significantly associated with the involvement in physical fighting.
Table 3.
The distribution of selected factors according to categories of physical fighting among school-attending adolescents in Mauritius, GSHS 2017.
Table 4 providest the results of final multivariable model, i.e., after adjusting for all of the covariates that were found to be statistically significant in the bivariate analysis. Out of the fourteen attributes, six i.e., anxiety, truancy, sedentary lifestyle, supportive parental figures, suicide planning, and marijuana use were not found to be statistically significantly associated with having been involved in physical fights at p < 0.05; while, at the p-value of <0.01, only sex, food deprivation, bullying victimization, and cigarette use in the past 30 days were found to be statistically significant. The goodness-of-fit test revealed that this was a good multivariate logistic model for physical fighting among the sample population ([F: 9, 8] 0.27; p-value: 0.9661).
Table 4.
Outcomes of multivariate analysis of variables associated with physical fighting among school-attending adolescents in Mauritius, GSHS 2017.
4. Discussion
The current study found that 15.74% of the participants had engaged in two or more physical fights within the year prior to being surveyed. This rate is lower than that of the physical fighting behavior reported in other African region countries, which ranged from 31% to 50.6% [6,7,8]. This finding was the result of the analysis of a more recent dataset when compared to the other reports of data, which were about ten years older. Additionally, the prevalence of physical fighting in our study was lower than the rates in Southwest Pacific countries, North America, and Europe [2,10,15], but comparable to those from Southeast Asia [13,19,20,21,22].
The current study found that being male was significantly associated with increased physical fighting behavior. Previous studies have had divergent findings concerning the relationship between gender and adolescent violence. Whereas, most studies from Asia and Africa found that boys have a higher risk of exposure to violence [7,13,19,22,23], reports from the Western Pacific region, Europe, and the US report the opposite [5,10,24]. However, the findings of an investigation among Ghanaian adolescents showed no relationship between gender and involvement in physical fighting [8]. Additionally, bullying victimization and food deprivation were associated with physical fights in this study. This finding is similar to that of others [7,8,13]. Bullying, hunger, and truancy are likely related to poor mental health [25], which may underline the tendency to engage in physical fighting. This relationship will benefit from further exploration, especially mixed-methods research, in order to better understand the relationship between these factors. Truancy was not found to be associated with physical violence in the present study. The association between cigarette smoking and physical fighting in the current research was largely congruent with other studies [10,15,19], and it strengthens previous reporting on the relationship between negative peer behaviors and physical fighting among school-based adolescents [8]. Additionally, as in other studies [8,10,15], alcohol consumption was associated with physical fights in our study in the context of a high prevalence of alcohol consumption among the participants. Alcohol misuse, abuse, and the resulting negative life experiences predict physical fighting in both high-income and low-and-middle-income countries, as reported elsewhere [8].
The present study found that loneliness in Mauritius was associated with physical fighting, like other authors found among Malaysian and Pakistani adolescents [13,19], but suicide planning was not. Additionally, physical activity was related to adolescent physical violence, while a sedentary lifestyle was not. There is a paucity of evidence concerning the relationship between physical activity or a sedentary lifestyle and physical fighting, but the available data demonstrate a consistent association [7,26,27]. Future research should focus on determining the levels of physical activity that are predictive of physical violence. The finding of an association between early sexual debut and physical fighting corroborates those of other authors [28,29].
Our study did not identify any protective factors for physical fighting among adolescents in Mauritius. Other studies have highlighted protective factors to include supportive school environments and the pressure of school work [8], close friends [13], helpful close friends [7], parental support [7,8,24], and access to increased wealth [3]. Although some other studies have found an absence of association between some of the protective factors and physical fighting [13,23], the lack of statistically significant protective factors in our study underlines the need for further research into the subject matter.
The present study contributes to the body of knowledge concerning adolescent risk and protective factors for physical fighting. The similarities and variations that were observed relative to findings from other countries suggest that adolescent physical violence is a universal issue among adolescents, and it results from an interplay between various common socio-demographic, behavioral, and environmental adolescent characteristics. However, there may be contextual factors that alter the mechanisms that underlie adolescent physical fighting, causing variations in risk and protective factors across different settings. Some of the risk factors for physical violence in our study are modifiable and offer specific opportunities for interventions to mitigate interpersonal violence among adolescents.
Strengths and Limitations
This study contributes to the limited body of knowledge regarding adolescent interpersonal violence in the African region. The use of population-based sampling, standardized methodology, and validated tools for data collection make our findings amenable to direct comparison across countries and regions. The sample size is large and representative of all in-school adolescents in Mauritius. Therefore, our results are likely to be valid and representative of the underlying population. However, the readers should consider a few limitations in interpreting the findings. First, the data were obtained through self-reporting and are, therefore, prone to misreporting. Misreporting can be intentional due to the sensitivity and social desirability of the issue under investigation, which results in the regression of the estimates towards null values. Consequently, this leads to an underestimation of the size of the association between the outcome variable and associated factors. Misreporting might also be unintentional in the case of failure of recall or misunderstanding of the questions. Secondly, the data collection was from in-school adolescents, and the findings would not be generalizable to all adolescents in Mauritius, because in and out-of-school adolescents often differ significantly. Thirdly, the study design was cross-sectional. Hence, readers should not ascribe causal interpretations to the associations between physical fighting and related factors. Finally, the GSHS obtained data regarding physical violence without considering the severity fights or whether the adolescents were the aggressors or victims.
5. Conclusions
The present research provides some insight into adolescent physical fighting in the context of a scarcity of data concerning its epidemiology, as obtained in Mauritius. Physical violence is frequent among adolescents in Mauritius, although, comparison with previous findings in similar sub-Saharan countries suggests a reducing trend. Future studies should monitor the trend of physical fighting over time. There exists a clustering of physical violence with modifiable and non-modifiable socio-demographic and behavioral factors. Advocates, policymakers, and other critical stakeholders need to consider these associations in formulating strategies and designing public health interventions for the prevention and control of physical violence among adolescents. School-based interventions that incorporate the pertinent risk factors are likely to be very successful.
Author Contributions
Conceptualization, M.A.S.; methodology, M.A.S. and M.L.W.; validation, O.A., and M.L.W.; formal analysis, M.A.S.; writing—original draft preparation, All; writing—review and editing, All. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
IRB was not required as the data are publicly available in anonymized form.
Informed Consent Statement
Informed consent was not required for the conduct of this study as the data are publicly available in anonymized form.
Data Availability Statement
All of the data usedin this study were publicly available at http://www.cdc.gov/gshs/ (accessed on 15 April 2021).
Conflicts of Interest
The authors declare no conflict of interest.
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