Aim: The objective of this study was to assess the school environment by interviewing the teachers and compare the school environment score between rural and urban schools in Terengganu, Malaysia.
Methods: Thirty-two teachers from 16 primary schools in Terengganu were interviewed using a set of validated Malay version "School Environmental Mapping" questionnaire. A total of 76 items consisting of four domains of school environment factor: physical (what is available) with 41 items; economic (what the costs are) with nine items; political (what the rules are) with nine items; and socio-cultural (what the attitudes and beliefs are) with 17 items. Every item was questioned using an initial closed question followed by an open question when the criteria were not met or need further information regarding those particular items.
Results: The present study revealed that the school environment of school in state of Terengganu is still low and not satisfied. Based on the schoolteacher's information and observation, there are significant barriers to promoting healthy eating and physical activity at school e.g. limited financial and budget allocation; lack of school facilities; lack of manpower to organise and monitor the programme; lack of participation and cooperation from parents; and no enforcement and serious action from authorized personnel on street hawkers near the school. This is reflected by the score achieved for 16 schools in Terengganu was only 63.05%. The political environment indicated the highest score among the domains, which was 77.78%, whereas, the lowest score was an economic environment (50.00%). Upon comparing between the urban and rural areas, the present study reported that there was a significant difference between school settings (p < 0.001) for an overall school environment, in which the rural areas had a significantly higher score than urban counterparts (64.86% vs 59.34%, p < 0.001). For each domain of the school environment, the findings showed that only two domains (physical and political environment) were significantly different between school settings.
Conclusion: This study revealed that the level of a healthy school environment among schools in both settings is still not satisfied. Addressing the obesogenic elements of school environments is one of the strategies in prevention since the school environments exert a great influence on children's behaviour.
METHODS: This cross-sectional study involved 1,404 school adolescents aged 12 years (46% boys and 54% girls). Socio-demographic, dietary and physical activity data were collected using questionnaires whilst body weight and height were measured and body mass index was classified based on WHO BMI-for-age Z-scores cut-off.
RESULTS: A multivariable linear regression model showed that BMI z-score was positively associated with parents' BMI (P<0.001), birth weight (P=0.003), and serving size of milk and dairy products (P=0.036) whilst inversely associated with household size (P=0.022). Overall, 13.1% of the variances in BMI Z-scores were explained by parents' BMI, birth weight, servings of milk and dairy products and household size.
CONCLUSION: This study found important determinants of body weight status among adolescents mainly associated with family and home environmental factor. This evidence could help to form the effective and tailored strategies at the earliest stage to prevent obesity in this population.
METHODS: The National Health and Morbidity Survey (NHMS) 2017 (n = 8230) was used for analyses. It was a nationwide survey conducted in Malaysia. The dependent variables were measured by three risk behaviors (cigarette smoking, alcohol drinking and use of illicit drugs). Probit regressions were utilized to examine the effect of mental health on the probability of smoking, drinking and using illicit drugs. Demographic and lifestyle factors were used as the control variables. Truancy was identified as a mediating variable.
RESULTS: Anxiety, depression and suicidal ideation affected cigarette smoking, alcohol drinking and use of illicit drugs through mediation of truancy. After controlling for demographic and lifestyle factors, students with anxiety, depression and suicidal ideation were more likely to smoke, drink and use illicit drugs compared with their peers without any mental health disorders. Furthermore, the likelihood of consuming cigarettes, alcohol and illicit drugs was found to be higher among students who played truant than those who did not.
CONCLUSION: Mental health plays an important role in determining participation in risk behaviors among ethnic minority students in Malaysia. Public health administrators and schools have to be aware that students who suffer from mental health disorders are likely to indulge in risk behaviors.