METHODOLOGY: This study was a school-based cross-sectional study conducted among 495 secondary school teachers. The questionnaire used in this study consisted of 29 questions categorized into two sections: socio-demographic characteristics and smoking behaviour. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) program 13.0. ANOVA; t-tests were used in univariate analysis; multiple linear regression was applied for multivariate analysis.
RESULTS: The majority of the participants were female (81.6%), in the age group ranged between 30-39 years (44%), Malay (90.1%), married (89.7%), degree holders (85.1%), with monthly income ranged between 3000-3999 Ringgit Malaysia (33.5%), from urban areas (94.7%), their specialty is social studies (33.9%) and with no family history of cancer (83.6%). The prevalence of smoking among school teachers in Malaysia was found to be 7.8%. Regarding reasons to start smoking among school teachers: the major reason was found to be relaxation (33.3%), followed by stress-relief (28.2%). Univariate analysis showed that sex, educational status, monthly income and residency were significantly associated with smoking among school teachers (p<0.001, p=0.004, p=0.031, p=0.010; respectively). Multivariate analysis showed that gender and marital status were significantly associated with smoking among school teachers (p<0.001, p=0.033; respectively).
CONCLUSION: The prevalence of smoking among school teachers in Malaysia was found to be relatively low. Sex, marital status, educational status, monthly income and residency were significantly associated with smoking among school teachers.
STUDY DESIGN: This is a cross-sectional study.
METHODS: We used data from the 2012 Malaysian Global School-based Student Health Survey, which covered adolescents aged 11-17 years (51% girls). Adolescents were asked about their physical activity, sitting time, and levels of parental and peer support. Participants with ≥60 min of moderate to vigorous physical activity per day and ≤2 h of sitting time per day were categorised as having an 'active lifestyle'. Binary logistic regression was used to examine the relationships by gender and age group (11-14 and 15-17 years).
RESULTS: Of the participating adolescents (n = 12,081), 15.3% reported to have an active lifestyle (boys: 22.0%; girls: 8.8%). About 31% reported to have higher levels of parental support, whereas 47% reported higher levels of peer support. Higher parental and peer support were significantly associated with an active lifestyle of boys across both age groups. Girls with higher parental support had higher odds of reporting an active lifestyle in both age groups, whereas higher peer support was significantly associated with an active lifestyle among girls aged 11-14 years.
CONCLUSIONS: This study uniquely extends the current evidence by examining the associations of parental and peer support with physical activity and sitting time combined. More research is needed to understand how different types of social support can influence adolescents' active lifestyle.