Abstract
Introduction
Injuries are a major global health problem that affects teenagers in many countries. Though several studies have been done in many countries, little is known among adolescents in Mauritius. Therefore, our paper explored the prevalence and correlates of serious injuries among adolescents in Mauritius.
Methods
We analysed the 2017 Global School-Based Student Health Survey (GSHS) data from Mauritius, using the Chi-square test and binomial logistic regression analysis with adjusted odds ratio (AOR) at 95% confidence interval (CI).
Results
The prevalence of serious injuries among adolescents in Mauritius stood at 39.0%. Also, the predictors of serious injuries included sex (AOR = 0.70, CI = 0.58–0.81), physical attack (AOR = 0.47, CI = 0.39–0.57), being bullied (AOR = 0.48, CI = 0.48–0.70), suicide ideation (AOR = 0.65, CI = 0.49–0.85), hunger (AOR = 0.65, CI = 0.48–0.86), truancy from school (AOR = 0.77, CI = 0.63–0.93), marijuana use (AOR = 0.54, CI = 0.39–0.76), alcohol consumption (AOR = 0.64, CI = 0.70–0.98), and parental neglect (AOR = 0.83, CI = 0.70–0.98).
Conclusion
The rate of injury among adolescents in Mauritius is moderately high, with sex, suicidal thought, hunger, truancy, drug use, and parental neglect as correlates. There is an urgent need for health promotion interventions at family, community, and school levels to deal with this level of serious injuries and the factors influencing such occurrences among these adolescents in Mauritius.
1. Introduction
Globally, injuries are among the top five causes of disability-adjusted life-years among people between 10 and 24 years [1]. Being a victim of childhood injuries has lifelong impacts on education, health, and wellbeing [1–5]. Thus, children exposed to violence and the resulting injuries are more likely to smoke, misuse alcohol and other drugs, engage in other risky behaviours, and are likely to endure a range of physical and mental illnesses later in life [1, 4, 5]. The United Nations Educational Scientific and Cultural Organisation (UNESCO) [6] reported an estimated 200,000 serious injuries and homicides among persons between the ages of 10 and 29. This figure makes the problem of injuries the fourth leading cause of death among young people worldwide.
The prevalence and associated risk factors influencing adolescents' level of serious injuries have been studied across different cultures over the years. In a recent study on serious injuries among adolescents in Ghana, Ackah et al. [7] noted that the prevalence stood at 66%. Other researchers have reported varying prevalence, 21% in Europe [8], 38% in China [9], and 63% in Ethiopia [10]. Furthermore, these studies associated injuries among adolescents with multiple factors like gender, level of education, suicidal behaviours (ideation and attempt), physical fight, fewer close friends, school truancy, marijuana smoking, and the use of amphetamine [7–10]. From the perspective of the island of Mauritius, the 2011 Global School-Based Student Health Survey [11] reported drug usage, including marijuana, 4.8% (male = 7.8%; female = 2.1%), cigarette smoking, 15.1% (male = 7.8%; female = 2.1%), and 74.5% doing so before their 14th birthday, and alcohol, 24.1% (male = 26.4%; female = 21.7%) with as high as 71.2% of the adolescents drinking before age 14 and 29.9% drinking one or more drinks a day. Moreover, the survey indicated that 33.9% of the students engaged in physical fight (male = 47.7%; female = 22.9%), 22.6% experienced physical attack one or more times, 38.8% had serious injuries (male = 47.2%; female = 30.9%) and 34.8 were bullied (male = 41.9%; female = 28.2%). However, this survey failed to account for suicidality and other factors that might influence these variables.
Similarly, the authors found that 15.74% of adolescents in Mauritius had engaged in physical fights [12]. From the study's findings, the physical fight among participants was associated with gender, food deprivation, bullying, cigarette use, and the likelihood of engaging in a physical fight. Clearly, there is a lack of a comprehensive understanding of the interrelations among many psychosocial variables that affect the life and health of adolescents in Mauritius. Since physical fighting is a significant correlate of injuries [7–10], a prevalence above 15% raises some concerns. Furthermore, a ten-year study, 2007 to 2017, among 7,458 adolescents in Mauritius showed a decline in bullying, physical fighting, and passive smoking. Nonetheless, the prevalence of tobacco use was found to increase [13]. Notwithstanding the existing empirical evidence regarding the prevalence and correlates of serious injuries among adolescents, there is a lack of data from island nations like Mauritius.
Taking the paucity of evidence and resultant lack of intervention to prevent and/or reduce the occurrence of such injuries among adolescents, the island of Mauritius will lag in achieving some critical goals and targets in the United Nations (UN) Sustainable Development Goals (SGDs) [14]. There are 17 SDGs and 169 targets supposed to be achieved by the end of the year 2030 [15]. Specific to providing quality education, health, and wellbeing opportunities for its citizens, Mauritius must be concerned about meeting targets 3.5 and 4.1 of SGDs 3 and 4, respectively, by 2030. Goal 3 calls upon nations to “ensure healthy lives and promote wellbeing for all at all ages,” with target 3.5 encouraging all countries to “strengthen the prevention and treatment of substance abuse, including narcotic drug abuse and harmful use of alcohol” (pp. 16). Additionally, Goal 4 entreats UN member countries to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.”
Moreover, indicator 4.1 under this goal states that governments should “ensure that all girls and boys complete free, equitable and quality primary and secondary education leading to relevant and effective learning outcomes” (pp. 18). Therefore, understanding serious injuries and providing evidence-based measures to reduce them would make school-going adolescents live healthy lives and increase their wellbeing. This evidence may also create an environment for ensuring quality education, including learning, for all. Therefore, the current study analysed the prevalence and correlates of serious injuries among adolescents in Mauritius using the 2017 Global School-Based Student Health Survey (GSHS).
2. Methods and Materials
2.1. Research Design
We collated and utilised data from the 2017 GSHS from the Mauritius context [15]. The GSHS is a school-based survey that uses self-administered questionnaires. The survey collects cross-sectional data on the behaviour, health status, and risk factors related to the principal cause of serious injuries and death among adolescents or young adults of school-going age. The World Health Organisation (WHO), with the United States Centres for Disease Control and Prevention and Mauritius' Ministry of Health, conducted the GSHS. With a cross-sectional survey design, data were obtained from member countries of the WHO that have a vital interest in dealing with the general causes of serious injuries and devising preventive measures to avert such occurrences among adolescents of school-going age.
2.2. Ethical Consideration Followed in the Study
The questionnaire was piloted before the actual data collection to ensure the reliability and validity of the items. The survey was approved by Middle Tennessee State University Institutional Review Board. The researchers strictly adhered to all ethical considerations and policies from the Ministry of Education (MoE), Mauritius. Subsequently, entry protocol permissions were obtained from MoE, Mauritius, heads of schools, and teachers. Verbal and written agreements were acquired from all the students. For minors, permission was obtained from their parents. Access to the data can be obtained at the Non-Communicable Disease Microdata Repository for WHO [15]; see the link: https://extranet.who.int/ncdsmicrodata/index.php/catalog/669/data-dictionary/F1?file_name=MUBH2017_GSHS_Data_Public_Use.
2.3. Sampling
The study participants were adolescents in grades 8–12 of the Mauritius educational system. A two-stage cluster sample design was used to obtain representative information of all the selected schools across the country. During the first stage, schools were selected with probability proportional to enrolment sizes. At the second stage, classes were randomly selected, and all students in the chosen classes qualified to partake in the study. The response rates for the school, students, and overall data were 100%, 84%, and 84%, respectively [15].
2.4. Variables
There are two main categories of variables used in the study: the outcome/dependent variable and the explanatory variables. The primary outcome variable was serious injuries detected or reported among the students. It was a defined construct: “whether or not the student was seriously injured one or more times over twelve months before the survey.” The options ranged from zero (0) times to twelve (12) or more times. The present study went further to dichotomise the responses. Those without injuries, i.e., zero injuries, were grouped as “no injury” and given 0 as code, whereas those with at least one or more injuries were coded 1, “serious injuries.” The explanatory variables were categorised as sociodemographic factors (sex, age, and grade), personal attributes (hunger, missed school without permission), drugs and substance use (amphetamine use, current marijuana smoking, and current alcohol use), and psychosocial (number of close friends, physical attacks, suicide {ideation, planning, and attempt}, and bullying). Table 1 displays the explanatory variables used in the study.
Table 1.
Definition of explanatory and measurement coding of variables.
| Variable | Survey question | Coding |
|---|---|---|
| Sex | What is your sex? | 1 = male, 2 = female |
| Age | How old are you? | 1 = 13–14, 2 = 15–17 |
| Grade | In what grade are you? | 1 = Grades 8–9; 2 = Grades 10–12 |
| Hunger | Have you gone hungry most of the time or always because there was not enough food at home for the past 30 days? | 1 = yes; 2 = no |
| Close friends | Do you have close friends? | 1 = yes; 2 = no |
| Physical attacks | Have you been attacked physically before? | 1 = yes; 2 = no |
| Suicidal ideation | During the past 12 months, did you ever seriously consider attempting suicide? | 1 = yes; 2 = no |
| Suicidal plan | During the past 12 months, did you make a plan about how you would attempt suicide? | 1 = yes; 2 = no |
| Suicidal attempt | During the past 12 months, did you attempt suicide? | 1 = yes; 2 = no |
| School truancy | During the past 30 days, did you miss classes or school without permission? | 1 = yes; 2 = no |
| Amphetamine use | During your life, did you use amphetamine or methamphetamine (also called ice or yellow)? | 1 = yes; 2 = no |
| Current use of alcohol | During the past 30 days, did you have at least one drink containing alcohol? | 1 = yes; 2 = no |
| Current marijuana smoking | During the past 30 days, did you use marijuana? | 1 = yes; 2 = no |
| Parental care | During the past 30 days, did your parents or guardians understand your problems and worries? | 1 = yes; 2 = no |
2.5. Data Analysis
In all the analyses, the sample weighting method was applied at the school, student, and sex within grade levels to make it representative of the adolescents of the school-going population in Mauritius and minimise bias on various trends nonresponses. Some variables were recorded on a binary scale in this study as in other GSHS studies [7, 16–18]. The current analysis did not include students with ages below 13 and above 17 years since their frequency was below 40 cases. Also, some of the survey items did not apply to these groups [15]. To address the issue of missing data, we used the multiple imputations (MI) technique. The MI technique was used where the missing values exceeded 1%. The missing data ranged from 1% to 16% and were missing at random. We conducted five MI with the automatic imputation method to maintain data quality concerning missing values [7, 19]. Imputed values compared reasonably to observed values and results using the complete case analysis. The final model goodness of fit was checked, and the results revealed no evidence of a lack of fit with our model's attempt to predict serious injuries significantly.
We conducted two stages of primary analysis to measure variables that were strongly associated with serious injuries among the students in the adolescent group in Mauritius. First, we performed bivariate analysis using Pearson Chi-square to estimate the relationship between serious injuries and the explanatory variables. Subsequently, we entered the variables that showed significant association (p < 0.05) into a binomial logistic regression model. The results obtained from the analysis were presented with corresponding adjusted odds ratio (AOR) at 95% confidence interval (CI) (p < 0.05).
3. Results
3.1. Background Characteristics of the Adolescents in Mauritius
The overall prevalence of serious injuries in Mauritius adolescents of school-going age was 39% (See Figure 1). Serious injuries among adolescents in Mauritius were associated with several factors. Specifically, a more significant percentage of injury was reported among the male students (45.6%), aged 15–17 (39.5%), and among students in grades eight and nine (42.0%). Also, similar high percentages of injuries were observed among students who went hungry within a period of past 30 days (52.6%), who for 30 days missed school without permission (52.1%), who used amphetamine (61.7%), who smoked marijuana within 30 days to the survey (65.1%), who took drinks containing alcohol (52.7%), and who had no close friends (45.7%). Lastly, we observed a high prevalence of serious injuries in participants who had never experienced physical attacks (59.5%), who had no adequate parental care (45.1%), who had no idea of committing suicide (55.2%), who had a plan of committing suicide (52.2%), who had attempted committing suicide (54.9%), and who were bullied at school (55.2%). See Table 2 for details.
Figure 1.
Serious injuries among adolescents attending pretertiary schools in Mauritius.
Table 2.
Bivariate analysis of injuries among adolescents of school-going age in grades eight and twelve in Mauritania (n = 2965).
| Factors | Serious injury | Chi-square (χ2) | φ c | ||
|---|---|---|---|---|---|
| Injury (%) | No injury (%) | ||||
| Demographic | |||||
| Sex | Male | 642 (45.7%) | 766 54.3% | 47.69 ∗∗∗ | 0.127 |
| Female | 517 (33.2%) | 1040 (66.8%) | |||
| Age | 13-14 | 505 (38.6%) | 803 (61.4%) | 0.23 | 0.001 |
| 15–17 | 654 (39.5%) | 1003 (60.5%) | |||
| Grade | 8-9 | 503 (42.0%) | 694 (58.0%) | 7.25 ∗∗ | 0.049 |
| 10–12 | 656 (37.1%) | 1112 (62.9%) | |||
|
| |||||
| Personal | |||||
| Hunger | Yes | 122 (52.6%) | 110 (47.4%) | 19.20 ∗∗∗ | 0.081 |
| No | 1037 (37.9%) | 1696 (62.1%) | |||
| Truancy | Yes | 370 (52.1%) | 340 (47.9%) | 66.50 ∗∗∗ | 0.150 |
| No | 789 (35.0%) | 1466 (65.0%) | |||
|
| |||||
| Drugs and substance use | |||||
| Amphetamine use | Yes | 58 (61.7%) | 36 (38.3%) | 20.85 ∗∗∗ | 0.084 |
| No | 1101 (38.4%) | 1770 (61.1%) | |||
| Marijuana smoking | Yes | 134 (65.0%) | 72 (35.0%) | 62.66 ∗∗∗ | 0.0145 |
| No | 1025 (37.2%) | 1734 (62.8%) | |||
| Alcohol use | Yes | 415 (52.7%) | 372 (47.268%) | 83.75 ∗∗∗ | 0.168 |
| No | 744 (34.2%) | 1434 (65.84%) | |||
|
| |||||
| Psychosocial | |||||
| Close friends | Yes | 128 (45.7%) | 152 (54.286%) | 5.70 ∗ | 0.044 |
| No | 1031 (38.4%) | 1654 (61.6%) | |||
| Physically attacked | Yes | 409 (59.5%) | 278 (40.5%) | 516.98 ∗∗∗ | 0.230 |
| No | 750 (32.9%) | 1528 (67.1%) | |||
| Bullied | Yes | 407 (55.1%) | 331 (44.9%) | 106.44 ∗∗∗ | 0.189 |
| No | 752 (33.8%) | 1475 (66.2%) | |||
| Parental care | Yes | 419 (36.2%) | 740 (63.8%) | 23.12 ∗ | 0.088 |
| No | 814 (45.1%) | 992 (54.9%) | |||
| Suicide ideation | Yes | 266 (55.2%) | 216 (44.8%) | 62.64 ∗∗∗ | 0.145 |
| No | 893 (36.0%) | 1590 (64.0%) | |||
| Suicide plan | Yes | 227 (52.2%) | 208 (47.8%) | 36.71 ∗∗∗ | 0.111 |
| No | 932 (36.8%) | 1598 (63.2%) | |||
| Suicide attempt | Yes | 210 (55.0%) | 172 (45.0%) | 46.47 ∗∗∗ | 0.125 |
| No | 949 (36.7%) | 1634 (63.3%) | |||
Note. ∗p < 0.05,∗∗p < 0.01,∗∗∗p < 0.001.
3.2. Distribution and Chi-Square Analysis of Serious Injuries across Demographic, Psychological, Personal Attribute Factors, Drugs and Substance Use Factors, and Psychosocial Factors
The Chi-square test conducted showed that students' sex (χ2 = 47.69, p < 0.001), students' grade (χ2 = 7.250, p < 0.007), hunger condition of students (χ2 = 19.26, p < 0.001), truancy (χ2 = 66.50, p < 0.001), amphetamine or methamphetamine use (χ2 = 20.85, p < 0.001), marijuana smoking (χ2 = 62.66, p < 0.001), alcohol use (χ2 = 83.75 p < 0.001), having close friends (χ2 = 5.70, p < 0.017), having been physically attacked (χ2 = 516.98, p < 0.001), having suicide ideation (χ2 = 62.64, p < 0.001), having suicide plan (χ2 = 36.71, p < 0.001), attempting suicide (χ2 = 46.47, p < 0.001), and being bullied (χ2 = 106.44, p < 0.001) were significantly associated with serious injuries among adolescents of school-going age in Mauritius.
3.3. Logistic Regression Analysis of Significant Factors Associated with Serious Injuries
Table 3 presents the binomial logistic regression analysis results on the factors associated with serious injuries among adolescents of school-going age in Mauritius. The results from the analysis showed that being a male (AOR = 0.689, 95% CI = 0.740–1.025), being physically attacked (AOR = 0.474, 95% CI = 0.393–0.573), being bullied by peers (AOR = 0.581, 95% CI = 0.393–0.573), having suicide ideation (AOR = 0.645, 95% CI = 0.488–0.853), hunger (AOR = 0.646, 95% CI = 0.484–0.862), truancy (AOR = 0.768, 95% CI = 0.633–0.932), marijuana use (AOR = 0.540, 95% CI = 0.385–0.759), alcohol intake (AOR = 0.638, 95% CI = 0.529–0.770), and parental neglect (AOR = 0.827, 95% CI = 0.696–0.981) added significance to the model of serious injury occurrence among adolescents in Mauritius.
Table 3.
Relationship between the significant variables and serious injuries among adolescents.
| Variables | B | Wald test (z-ratio) | Odds ratio | 95% confidence interval for odds ratio | |
|---|---|---|---|---|---|
| Lower | Upper | ||||
| Demographic | |||||
| Sex | −.373 ∗∗∗ | 19.394 | 0.689 | 0.584 | 0.813 |
| Grade | −0.138 | 2.771 | 0.871 | 0.740 | 1.025 |
|
| |||||
| Personal | |||||
| Hunger | −0.437 ∗∗ | 8.830 | 0.646 | 0.484 | 0.862 |
| Truancy | −0.264 ∗∗ | 7.151 | 0.768 | 0.633 | 0.932 |
|
| |||||
| Substance use and abuse | |||||
| Marijuana | −0.616 ∗∗∗ | 12.636 | 0.540 | 0.385 | 0.759 |
| Amphetamine | 0.052 | 0.044 | 1.053 | 0.648 | 1.712 |
| Alcohol | −0.449 ∗∗∗ | 22.003 | 0.638 | 0.529 | 0.770 |
|
| |||||
| Psychosocial | |||||
| Close friends | −0.032 | 0.053 | 0.969 | 0.739 | 1.270 |
| Physically attacked | −0.746 ∗∗∗ | 59.576 | 0.474 | 0.393 | 0.573 |
| Bullied | −0.543 ∗∗∗ | 33.254 | 0.581 | 0.483 | 0.699 |
| Parental care | −0.190 ∗ | 4.731 | 0.827 | 0.696 | 0.981 |
| Suicide ideation | −0.438 ∗∗ | 9.445 | 0.645 | 0.488 | 0.853 |
| Suicide plan | −0.066 | 0.214 | 0.936 | 0.709 | 1.237 |
| Suicide attempt | −0.120 | 0.695 | 0.887 | 0.669 | 1.176 |
| (Constant) | 1.437 | 292.750 | 4.208 | ||
Note. ∗p < 0.05,∗∗p < 0.01,∗∗∗p < 0.001; Hosmer and Lemeshow test (goodness of fit), χ2 (8) = 11.890, p = 0.156.
4. Discussion
The study sought to examine the prevalence and correlates of serious injuries among student adolescents in Mauritius. We found a 39% prevalence of serious injuries among these school-going age adolescents. Moreover, being a male, experiencing physical attacks, being bullied, having suicide ideation, experiencing hunger, playing truancy from school, marijuana and alcohol intake, and parental neglect contributed significantly to severe injuries among the adolescents. Using a nationwide representative sample of adolescents of school-going age between grades 8–12, the overall prevalence of serious injuries found among the adolescents of school-going age in Mauritius was relatively low (39%) as compared with the rates found in Ghana (66.0%) [7] and Liberia (71.6%) [13]. However, this value is higher than the prevalence of injuries recorded in Canada (2.4%) [20]. Nonetheless, the prevalence of serious injuries in Mauritius is similar to that found in China (38%) [9]. This prevalence gives the impression that adolescent behaviours that brought the injuries and related controlling factors in Mauritius need attention.
The current study further showed that demographic factors like sex or gender were significantly associated with serious injuries among these adolescents in Mauritius [7, 9, 13, 20, 21]. From our results, males were more likely to be injured than females. Several studies have reported varied results regarding the role sex differences play in increasing the likelihood of sustaining serious injuries among adolescents. For example, our finding was supported by Jildeh et al.'s [21] observation among school-aged children in Palestine. Accordingly, the study suggested that an increase in male-related injuries was influenced by the nature of sports injuries reported in the study, where the males were likely to play contact and aggressive games [21]. However, our current finding contradicts the recent cross-sectional studies of Ghanaian [7] and Liberian [13] adolescents using GSHS datasets as there was no significant association between sex and serious injuries. The variances in results might have occurred due to the differences in locations, with cultural and socioeconomic variations.
Aside from sex differences, the current study also reported a significant association between serious injuries and personal factors like hunger and truancy among adolescents. The link between hunger and injury behaviours has been observed by Probst et al. [22] across 89 countries. They reported a positive significant dose-response association between hunger and gender on injury due to interpersonal violence. For instance, there was a 30% and 50% increase in male and female odds of injury occurrence, respectively. Therefore, as adolescents get hungry, whether male or female, their interpersonal violence equally rises with related injuries. Similarly, behavioural problems like bully victimisation and physical fights positively correlated with severe injuries among adolescents.
Using the 2010 data from GSHS, it found that about 34% of the adolescent students from Oman also experienced injuries such as fractures and joint dislocation in the preceding year that caused at least a day absence from usual activities or required medical attention [23]. Also, the study reported that 38.4%, 38.8%, and 47.6% of adolescents were bullied at school, physically attacked, and involved in physical fights. Although these aggressive behaviours affected both boys and girls, males were worst affected than females. However, previous evidence among Ghanaian in-school adolescents suggested that the bully resulted from peer victimisation [24]. Such bullying included making fun of the victim with sexual jokes, comments, or gestures that affected both genders, but girls were more likely to have experienced much more than boys [23]. Yet, a more recent study from Portugal [25] revealed that more girls get involved in physical fights than boys, though the current study did not analyse that difference. These negative behaviours among adolescents tend to cause health challenges to them. Furthermore, they could lead to other maladaptive behaviours like using substances including alcohol, tobacco, and other hard drugs and high-level adulthood violence [24].
Evidence from the current findings further indicated that adolescents who experienced minimal parental care, who were bullied at school, wre physically attacked, and conceived suicidal thoughts, were likely to report severe injuries. This finding may have occurred as adolescents' low parental care and psychosocial vulnerability are associated with adverse psychosocial outcomes like suicide [7]. Moreover, the bullied and those physically attacked could retaliate, a situation that can result in fights and attendant injuries. It is essential to recognise that these actions are traumatising and psychologically degrading, leading to suicidal ideation [7], exposing adolescents to these maladaptive behaviours. Therefore, the occurrence of serious injuries can become cyclical until drastic and pragmatic actions are taken to reduce or eliminate the effects of notable explanatory factors. The evidence further suggests that significant correlations exist among explanatory variables in several similar GSHS studies [7, 13, 26]. For example, adolescents who attempted suicide reported relationship problems with family members more often [27] and even abused substances [7]. This finding also calls for more parent-school management collaboration to address factors like the nature of parental care, food intake, bullying behaviours, substance use, physical fight and attacks, suicide ideas, and injuries among adolescents in Mauritius [7–10]. Perhaps, such proactive interventions and policy implementation will help promote the physical and psychosocial health of adolescents in Mauritius.
5. Conclusions
The study's findings indicated a moderately high prevalence of serious injuries among adolescents of school-going age in Mauritius. Mauritius' serious injuries prevalence was much higher than Canada, similar to China, but lower than Ghana and Liberia. Also, psychosocial and demographic factors such as hunger, truancy, marijuana smoking, suicide ideation, alcohol use, and parental care were significantly associated with serious injuries among adolescents. We are of the view that, with this rate of serious injuries, the island of Mauritius may not be able to attain the provision of inclusive and equitable quality education and promote lifelong learning opportunities, nor ensure that these school-age adolescents have healthy lives by the year 2030. Hence, there is a need for the government, school authorities, parents, and other stakeholders to strengthen policies and programmes to help shape adolescents' behaviour in schools. Furthermore, finding proactive measures to reduce the prevalence of serious injuries will help Mauritius to achieve some of the targets of the SDGs, particularly SDGs 3.5 and 4.1 (strengthen the prevention and treatment of substance abuse, including narcotic drug abuse and harmful use of alcohol, and ensuring inclusive and equitable quality education and promote lifelong learning opportunities for all).
Acknowledgments
The authors thank the World Health Organization for making the data available for use.
Data Availability
The data used to support the findings of this study were sourced from the Global School-Based Student Health Survey-Mauritius, 2017, and are available at the Non-Communicable Disease Microdata Repository for the World Health Organization (https://extranet.who.int/ncdsmicrodata/index.php/catalog/669/datadictionary/F1?file_name=MUBH2017_GSHS_Data_Public_Use).
Additional Points
Strengths and Limitations of the Study. We used nationally representative data from Mauritius to investigate the relationship among variables that determine serious injuries among adolescents of school-going age. The study has given good insights into the significant predictors of serious injuries among students within the grades of eight and twelve. The rigorous procedures used in analysing the data have improved the projections of generalising the findings to a similar geographical contest or country where serious injuries must be addressed. Conversely, causal inferences could not be drawn from the results obtained as GSHS uses a cross-sectional survey design. Notwithstanding the limitation, the study provides the “best snapshot” information on severe injuries among adolescents in Mauritius for essential school-based health education interventions by the government, school heads, teachers, and other stakeholders.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
References
- 1.Vos T., Lim S. S., Abbafati C., GBD 2019 Diseases and Injuries Collaborators Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of disease study 2019. The Lancet . 2020;396(10258):1204–1222. doi: 10.1016/S0140-6736(20)30925-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Omaki E., Rizzutti N., Shields W., et al. A systematic review of technology-based interventions for unintentional injury prevention education and behaviour change. Injury Prevention . 2017;23(2):138–146. doi: 10.1136/injuryprev-2015-041740. [DOI] [PubMed] [Google Scholar]
- 3.Street E. J., Jacobsen K. H. Prevalence of sports injuries among 13-to 15-year-old students in 25 low-and middle-income countries. Journal of Community Health . 2017;42(2):295–302. doi: 10.1007/s10900-016-0255-x. [DOI] [PubMed] [Google Scholar]
- 4.Priesman E., Newman R., Ford J. A. Bullying victimisation, binge drinking, and marijuana use among adolescents: results from the 2013 National youth risk behavior survey. Journal of Psychoactive Drugs . 2018;50(2):133–142. doi: 10.1080/02791072.2017.1371362. [DOI] [PubMed] [Google Scholar]
- 5.Han L., You D., Gao X., et al. Unintentional injuries and violence among adolescents aged 12–15 years in 68 low-income and middle-income countries: a secondary analysis of data from the global school-based student health survey. The Lancet Child & Adolescent Health . 2019;3(9):616–626. doi: 10.1016/S2352-4642(19)30195-6. [DOI] [PubMed] [Google Scholar]
- 6.United Nations Educational Scientific and Cultural Organisation. Global Study on Homocides . Paris, France: United Nations Educational Scientific and Cultural Organisation; 2018. https://www.un.org/youthenvoy/2013/08/unesco . [Google Scholar]
- 7.Ackah M., Salifu M. S., Boakye H. Factors associated with serious injuries among adolescents in Ghana: findings from 2012 Global School Health Survey. Science World Journal . 2021;2021 doi: 10.1155/2021/6622363.6622363 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Keyes K. M., Susser E., Pilowsky D. J., et al. The health consequences of child mental health problems and parenting styles: unintentional injuries among European schoolchildren. Preventive Medicine . 2014;67:182–188. doi: 10.1016/j.ypmed.2014.07.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gao C., Chai P., Lu J., Wang H., Li L., Zhou X. Probing the psychosocial correlates of unintentional injuries among grade-school children: a comparison of urban and migrant students in China. Journal of Child and Family Studies . 2019;28(6):1713–1723. doi: 10.1007/s10826-019-01378-9. [DOI] [Google Scholar]
- 10.Tiruneh B. T., Bifftu B. B., Anlay D. Z., Yismaw Y. S., Tesfaye E., Dachew B. A. Factors associated with unintentional injury among the paediatric age population in the hospitals of Amhara National Regional State, Ethiopia. African journal of emergency medicine: Revue africaine de la medecine d’urgence . 2017;7:S55–S59. doi: 10.1016/j.afjem.2017.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ministry of Health & Quality of Life, Mauritius. Global School-Based Student Health Survey 2011 . Port Louis, Mauritius: Ministry of Health & Quality of Life; 2013. https://www.who.int/ncds/surveillance/gshs/Mauritius-GSHS-Country-Report-2011.pdf?ua=1 . [Google Scholar]
- 12.Abiodun O., Wilson M. L., Shaikh M. A. Adolescents who report being involved in physical fights in Mauritius: a cross-sectional study of socio-demographic and behavioral correlates. Adolescents . 2021;1(2):151–158. [Google Scholar]
- 13.Pengpid S., Peltzer K. Trends of substance use and interpersonal violence from 2007 to 2011 and 2017 among male and female adolescents in Liberia. Gender & behaviour . 2020;18(2):15779–15784. [Google Scholar]
- 14.United Nation. The Sustainable Development Goals Report 2016 . New York, NY, USA: United Nations Department of Economic and Social Affairs (DESA); 2016. [Google Scholar]
- 15.World Health Organization. Global School-Based Student Health Survey (GSHS) Geneva, Switzerland: WHO; 2020. https://extranet.who.int/ncdsmicrodata/index.php/catalog/669/data-dictionary/F1?file_name=MUBH2017_GSHS_Data_Public_Use . [Google Scholar]
- 16.Randall J. R., Doku D., Wilson M. L., Peltzer K. Suicidal behaviour and related risk factors among school-aged youth in the Republic of Benin. PLoS One . 2014;9(2):e88233–e88239. doi: 10.1371/journal.pone.0088233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Oppong Asante K. Cannabis and amphetamine use and its psychosocial correlates among school-going adolescents in Ghana. Child and Adolescent Psychiatry and Mental Health . 2019;13(1):1–9. doi: 10.1186/s13034-019-0293-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Oppong Asante K., Kugbey N., Osafo J., Quarshie E. N.-B., Sarfo J. O. The prevalence and correlates of suicidal behaviours (ideation, plan and attempt) among adolescents in senior high schools in Ghana. SSM-Population Health . 2017;3:427–434. doi: 10.1016/j.ssmph.2017.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Thomas N., Gan N. Generating multiple imputations for matrix sampling data analyzed with item response models. Journal of Educational and Behavioral Statistics . 1997;22(4):425–445. doi: 10.3102/10769986022004425. [DOI] [Google Scholar]
- 20.Gilbride S. J., Wild C., Wilson D. R., Svenson L. W., Spady D. W. Socio-economic status and types of childhood injury in Alberta: a population based study. BMC Pediatrics . 2006;6(1):30–10. doi: 10.1186/1471-2431-6-30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Jildeh C., Abdeen Z., Al Sabbah H., Philalithis A. Unintentional injuries among school-aged children in Palestine: findings from the national study of Palestinian school children (HBSC-WBG2006) International Journal of Population Research . 2013;2013:7.629159 [Google Scholar]
- 22.Probst C., Kilian C., Rehm J., Carvalho A. F., Koyanagi A., Lange S. Socioeconomic inequality in the risk of intentional injuries among adolescents: a cross-Sectional analysis of 89 countries. Injury Prevention . 2020;27(4) doi: 10.1136/injuryprev-2020-043905. [DOI] [PubMed] [Google Scholar]
- 23.Peyton R. P., Ranasinghe S., Jacobsen K. H. Injuries, violence, and bullying among middle school students in Oman. Oman Medical Journal . 2017;32(2):98–105. doi: 10.5001/omj.2017.19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Aboagye R. G., Seidu A.-A., Arthur-Holmes F., et al. Prevalence and factors associated with interpersonal violence among in-school adolescents in Ghana: analysis of the global school-based health survey data. Adolescents . 2021;1(2):186–198. doi: 10.3390/adolescents1020015. [DOI] [Google Scholar]
- 25.Gaspar S., Guedes B. F., Cerqueira A., Oliviera R., De Matos G. M. Physical fight environment in school setting and adolescents’ behaviours: highlights from health behaviour in school-aged children (HBSC/WHO)–fight in school setting and adolescents’ behaviours. Primary Care Epidemiology and Global Health . 2019;(1):30–39. [Google Scholar]
- 26.Pengpid S., Peltzer K. Bullying and its associated factors among school-aged adolescents in Thailand. Science World Journal . 2013;2013 doi: 10.1155/2013/254083.254083 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Sheftall A. H., Asti L., Horowitz L. M., et al. Suicide in elementary school-aged children and early adolescents. Pediatrics . 2016;138(4) doi: 10.1542/peds.2016-0436. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data used to support the findings of this study were sourced from the Global School-Based Student Health Survey-Mauritius, 2017, and are available at the Non-Communicable Disease Microdata Repository for the World Health Organization (https://extranet.who.int/ncdsmicrodata/index.php/catalog/669/datadictionary/F1?file_name=MUBH2017_GSHS_Data_Public_Use).