METHODS: In the current study, 2074 students (706 males), filled out the Meaning in Life Questionnaire, with subscales of Search for Meaning (MLQ-S) and Presence of Meaning (MLQ-P); the Future Disposition Inventory-24 (FDI-24), with subscales of Positive Focus (PF), Suicide Orientation (SO), and Negative Focus (NF); and the Beck Hopelessness Scale (BHS). These scales measure protective and risk factors that are linked to suicidal behaviors; while suicidal behaviors were measured by the Suicidal Behaviors Questionnaire-Revised (SBQ-R). Mediation analyses were performed to test the models with both the MLQ-S and MLQ-P as the mediators between a) hopelessness, as measured by BHS and suicidal behaviors; and b) PF, SO, and NF, as measured by FDI-24, and suicidal behaviors.
RESULTS: We found that only MLQ-P mediated the relation between hopelessness and suicidal behaviors; while both MLQ-P and MLQ-S mediated PF, SO, and NF (as measured by FDI-24), and suicidal behaviors, respectively.
CONCLUSION: Meaning in life, including both the presence of meaning in life and search for meaning, can be good protective factors against suicidal behaviors.
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.
METHODS: Participants were 997 university undergraduate students, with a mean age of 21 years (SD = 1.58). The majority of the participants (80.4%) were female. Health-promoting behaviour was assessed using the 52-item HPLP-II, which measures six components of health-promoting behaviour outcomes. HPLP-II was translated into the Malay language using standard forward and backward translation procedures. Participants then completed the HPLP-II Malay version (HPLP-II-M). Confirmatory factor analysis (CFA) was conducted using Mplus 8.0 software on the six domains of HPLP-II-M model.
RESULTS: The CFA result based on the hypothesised measurement model of six factors was aligned with the original HPLP-II, except for two low loading items which were subsequently removed from the CFA analysis. The final CFA measurement model with 50 items resulted in a good fit to the data based on RMSEA and SRMR fit indices (RMSEA = 0.046, 90%CI = 0.045, 0.048, SRMR = 0.062). The construct reliabilities for the HPLP-II-M subscales were acceptable, ranging from 0.737 to 0.878.
CONCLUSION: The HPLP-II-M with six components of health-promoting behaviour outcomes and 50 items was considered valid and reliable for the present Malaysian sample.
METHODS: A cross-sectional study was conducted in 320 students from urban and rural secondary schools. The participants were randomly selected via multi-stage sampling. They completed the Malay versions of the Children's Depression Inventory (CDI) and Beck Scale for Suicide Ideation (BSS).
RESULTS: The prevalence of depressive symptoms was 26.2%. On binary logistic regression analysis, variables with significant association with depressive symptoms were race (P = 0.028), type of class (P < 0.001), mother's education level (P = 0.036), type of housing (P = 0.036), parents' marital status (P = 0.012), alcohol intake (P = 0.005), stealing (P < 0.001) and history of disciplinary record (P = 0.005). Variables that remained significant on multivariable logistic regression were type of class (P = 0.004), parents' marital status (P = 0.017) and stealing (P < 0.001). Students from the Arts stream (OR, 2.43) with parents who were separated, divorced or widowed (OR, 3.13) and who had experience of stealing (OR, 3.27) were predicted to be at risk of developing depressive symptoms. There was a significant correlation between total CDI score and total BSS score (P < 0.001).
CONCLUSIONS: The prevalence of depressive symptoms in adolescents was high. Depressive symptoms are significantly correlated with suicidal ideation. Greater collaboration between the education and health agencies is essential for mental health promotion in schools and early detection of depression, especially in at-risk adolescents.
METHODS: Data were extracted from a cross-sectional study, the Malaysian Adolescent Health Risk Behaviour (MyAHRB) study, which was conducted from May to September 2013 across 11 states in Peninsular Malaysia. A two-stage proportionate-to-size sampling method was employed to select a total of 3578 school-going adolescents aged 16-17 years from 20 selected schools in urban and rural settlements, respectively. The MyAHRB study adopted a set of self-administered questionnaires adapted from the Global School-based Student's Health Survey (GSHS) and the Youth Risk Behaviour Surveillance.
RESULTS: The results from the analysis of 2991 school-going adolescents aged 16-17 years showed that 16 (in boys) and 15 (in girls) out of 32 combinations of lifestyle risk behaviours clustered. Girls (aOR 2.82, 95% CI: 2.32-3.43) were significantly more likely to have clustered risk behaviours than boys; however, no significant associated factors were observed among girls. In contrast, boys of Malay descent (aOR 0.64, 95% CI: 0.46-0.89) or boys who had at least three friends (aOR 0.65, 95% CI: 0.43-0.99) were less likely to engage in multiple risk behaviours.
CONCLUSION: The present study demonstrated the clustering of multiple risk behaviours that occurred in both genders; these results suggest that multiple behaviour intervention programmes, instead of programmes based on siloed approaches, should be advocated and targeted to the high-risk sub-populations identified in the present study.
OBJECTIVE: This study aims to evaluate the effectiveness of carbon monoxide measurement feedback and the standard brief motivation adopted to encourage the smoker to quit.
METHODS: A single-blind, cluster randomised controlled trial was conducted at ten tertiary colleges in Selangor. The study recruited young adult smokers at the precontemplation and contemplation stages. The subjects in the control group received a standard brief motivational strategy. On the other hand, the intervention group received additional carbon monoxide measurement and a motivational feedback module. A follow up was conducted at the first, third and sixth month to measure changes in smoking cessation stage. Subsequently, the secondary outcomes of a mean number of cigarette consumption and quit smoking attempt were analysed. A total of 160 subjects were required to detect the expected difference of 17% in primary outcomes between the groups. This study utilised Generalised Estimating Equations (GEE) to handle the clustering effects.
CONCLUSION: Biomedical risk assessment feedback mechanism by using carbon monoxide is a promising aid to motivate the smoker to quit. This mechanism is a relatively easy, quick and non-invasive technique. Thus, it can be utilised as a reinforcement relating to the harmful effect of smoking. Besides, it can also increase the smokers' selfefficacy and decisional balance to adopt behavioural changes.