Socio-Demographic and Behavioral Factors for Serious Injury among Adolescents in Malaysia ()
Received 14 September 2015; accepted 12 December 2015; published 15 December 2015
1. Introduction
Injuries kill more than five million people worldwide annually and cause harm to millions more [1] . They account for 9% of global mortality, and are a threat to health in every country of the world. Intentional injuries which include self-inflicted injuries account for an increasing share of the injury disease burden, especially among economically productive young adults. A large proportion of people surviving their injuries incur temporary or permanent disabilities [2] .
Several studies had focused on the typology of injuries and their socio-economic status correlates [3] [4] particular types of injuries, such as sport injuries [5] , the association between family stress and injuries [6] , risk behaviors and injuries [7] , violence and injuries [4] [8] , and other psychosocial determinants [4] [9] [10] . Despite the enormous public health burden imposed by child and adolescent injury, several studies had shown that 71% - 95% of injuries could be prevented by simple and reasonable means [11] [12] . In developed countries such as Australia, Sweden, Britain, and Canada, injury rates has been reduced by up to 50% over the past three decades using multi sectored approaches to prevent [13] . In developing countries, studies have been largely limited to hospital-based information which provides information on severe injuries [14] [15] .
We prepared an analysis of the 2012 Malaysia Global School-Based Health Survey (GSHS) to estimate the 12 months prevalence of the outcome in request to contribute to the literature on serious injuries. Assessed to the association between a list of predictor variables and self-reported history of injury among in-school adolescents also have been done.
There is no or limited data regarding injury and its social-demographic correlates among adolescents in Malaysia. Therefore, this study aimed to determine the prevalence and social-demographic correlates of serious injury among adolescents in Malaysia.
2. Material and Method
2.1. Study Design
This study involved secondary analysis of data from the Malaysia Global School-based Student Health Survey (GSHS) conducted in 2012. The GSHS was developed by the World Health Organization (WHO) in collaboration with UNICEF, UNESCO, and UNAIDS with technical assistance from the Centers for Diseases Control and Prevention (CDC), Atlanta, Georgia, United States. The main purpose of the GSHS is to provide data on health and social behaviours primarily among in school adolescents aged 11 - 18 years. A two-stage cluster sample design was used for data representatives of students in the country. At the first stage, schools were selected with a probability proportional enrolment size. At the second stage, classes were randomly selected and all students in selected classes were eligible to participate. The overall response rate was 88.8%. A total of 25,507 students participated in the 2012 Malaysia GSHS.
The following question was asked in order to gather data on the type and cause of injury: During the past 12 months, what was the most serious injury that happened to you? Eight options were provided, ranging from 0 - 12 or more times. A zero response was described as not having sustained a serious injury, whiles a response of one or more times was classified as having experienced a serious injury. In order to assess history of victimization from bullying the question that was asked was: During the past 30 days, on how many days were you bullied? The responses range from 0 days or any number of days. In terms of involvement in a physical fight, students were asked the question: During the past 12 months, how many times were you in a physical fight? Options include 0 times, one up to 12 or more times. A definition for a serious injury was described as “An injury is serious when it makes you miss at least one full day of usual activities (such as school, sports or job) or requires treatment by a doctor or nurse.”
Other questions in this analysis included substance use: smoking cigarettes or alcohol drinking or drugs. Smoking cigarettes: “During the past 30 days, on how many days did you smoke cigarettes (Coded 1 = 1 or 2 to all 30 days, and 0 = 0 days)? Alcohol drinking: During your life, how many times did you drink so much alcohol that you were really drunk (Coded 1 = 1 or 2 to 10 more times, and 0 = 0 times)? Drugs: During your life, how many times have you used drugs (Coded 1 = 1 or 2 to 10 times or more times, and 0 = 0 times)?”
2.2. Ethical Considerations
Permission to carry out the study through ethical approvals was obtained from the Ministries of Health Research and Ethic Committee and Ministry of Education Ethics Committee. Informed consent to participate in the study was collected to all students from selected classes. Confidentiality was upheld by allowing for anonymity in completing the questionnaire.
2.3. Data Analysis
Data was analysed using SPSS software version 19.0. Unweighted frequencies and their weighted percentages are reported. Reclassification was done for the main outcome (most serious injury) in two categories: 1 for “I was not seriously injured during the past 12 months”, and 2 for other responses. We conducted bivariate and multivariate logistic regression analyses in order to estimate associations between independent factors and the outcome variable. The hypotheses were “There were no significant associations between socio-demographic factors and serious injury”. Associations between potential risk factors and injuries among adolescents were evaluated calculating odd ratios (OR). We reported prevalence of serious injury as well as the unadjusted odd ratios (OR) and adjusted odds ratios (aOR) together their 95% confidence intervals (CI).
The weighting used to estimate prevalence was calculated using the formula: W = W1*W2*f1*f2*f3*f4, where W1 is the inverse of the probability of selecting the school. W2 is the inverse of the probability of selecting the classroom within the school. f1 is a school-level non-response adjustment factor calculated by school size category (small, medium, large). f2 is a class-level non-response adjustment factor calculated for each school. f3 is a student-level non-response adjustment factor calculated by class and f4 is a post stratification adjustment factor calculated by grade.
3. Results
3.1. Characteristics of the Study Sample
Table 1 shows a total of 25,507 students participated in the study of which mainly attending Form 1 to Form 5. Most of the sample were male (50.2%), 38.0% were 16 years and above, and most (21.0%) were in Form 1.
3.2. Injury Characteristics
Of the 25,507 students, 34.9% (42.1% among boys and 27.8% among girls) had sustained at least one serious injury in past 12 months. The most frequently identified cause of injury was fall (36.7%), followed by “something else” (26.6%), and motor vehicle accident (20.0%). The most sustained injury involved cut, puncture, or stab wound (6.2%), followed by broken bone or dislocated joint (4.2%) and concussion or other head or neck injury (2.5%). The most frequent serious injuries among males were cut, puncture, or stab wound (7.8%) and broken bone or dislocated joint (6.3%). Concussion or other head or neck injury (2.6%) was the most frequent serious injury reported by females (Table 2).
Table 1. Socio-demographic characteristics.
1unweighted frequency; 2weighted percent; 3confidence interval.
Table 2. Frequency of the most serious injury among adolescents.
1weighted percent; 2confidence interval.
Table 3 shows the factors associated with serious injury. All the factors considered in the study were significantly associated with serious injury in both analyses (bi-variate and multivariate) except age. Compared to females, males more likely to have sustained serious injury (aOR = 1.47, 95% CI [1.35 - 1.59]). Adolescents who were bullied were 52.3% (aOR = 2.2; 95% CI [1.95 - 2.48]) more likely to have sustained serious injury compared to those were not bullied. Compared to participants who were not engaged in physical fighting, 57.5% (aOR = 2.75 [2.53 - 2.99]) those who engaged in physical fighting more likely to have sustained serious injury. Meanwhile, adolescents who used substances were 52.3% (aOR = 1.68 [1.52 - 1.85]) more likely to have sustained serious injury compared to those who did not use substances.
4. Discussions
Malaysia GSHS of school going adolescents showed that overall prevalence of having serious injury during the past 12 months was 34.9%. This prevalence was lower than Djibouti GSHS 2007 which is 61.1% of participant, (63.2% male, 57.8% female) Botswana GSHS 2005 which is 65.8% of respondents (68.1% among boys, 63.8% among girls) [16] [17] . Our prevalence was also lower compared to Indonesia (45.9%), Sri Lanka (37.2%) and Thailand (46.8%), but higher compared to Myanmar (27.0%).
Male students (42.1%) were significantly more often to have serious injury compared to female students (27.8%) and it was similar with findings in some other studies. The prevalence estimate obtained from this study is similar to a study reported by Muula et al. [16] . In the Bostwana study, although males were also more likely to having sustained serious injury than females, the gender gap was smaller (68.1% and 63.8% among boys and girls respectively) [17] . The study found that the most common serious injury among males were cut, puncture, or stab wound was similar with Muula et al. study in Djibouti. The most common serious injury among females was similar with males meanwhile different than Muula et al. study where the most common were broken bone or dislocated joint.
The findings of our study was similar with the study done in Botswana, where age was not significantly associated with serious injury, while other studies by Yang, Yeh and Lin among adolescents Taiwan [18] have found such differences. In our study, adolescent who had been bullied, had involved in physical fighting and substance
Table 3. Prevalence and factors associated with most serious injury.
OR1: unadjusted odds ratio; CI2: confidence interval; aOR3: Adjusted odds ratio.
users (smoking, drinking or drugs) were more likely to report serious injury compared to those with no such experiences. These findings were similar with Peltzer [19] study where being bullied, drunkenness were found to be predictors for injuries while Starkuviene and Zaborkis [19] study, found that being bullied, poor self-assessed health and unhappiness were associated with serious injury among Lithuanian school adolescents. Associations between the number of multiple risk behaviours with serious injury also reported among Scottish school adolescents by Picket study [10] .
Our study has several limitations. Firstly, eligible study participants were only those adolescents who were enrolled in schools. Our findings may therefore not be applicable to out of school adolescents in Malaysia. Secondly, only students who were present in school on the day the survey was administered at a particular school were surveyed. No effort was made to follow-up on absent students. To the extent that out of school adolescents may be different in their behaviours and experiences, our findings may not be applicable to them. Furthermore, due to the cross sectional nature of the survey, it is not possible to assign causation to the factors that are associated with physical fighting.
In 2010, the Director General of Education under the Ministry of Education, Malaysia has issued guidelines on preventing and dealing with acts of bullying among students. The steps to be taken by the school are to provide a safety complaint pupil, establish disciplinary committees of schools and hostels [20] .
5. Conclusion
We have estimated the prevalence of serious injury among adolescents in Malaysia. There is a need to explore the effectiveness of school-based intervention programs for injury prevention. Educational programmes which focus on the underlying causes and determinants of behaviour rather than individual behaviours themselves may therefore provide an effective and efficient method of organising health education for adolescents.
Acknowledgements
The authors wish to thank the Director General of Health Malaysia for his permission to publish this paper. The authors would like to record their sincere appreciation to the Terengganu and Johor, and their staff the support in data collection.