METHODS: This study is a cross-sectional study information was gathered from among 353 secondary school students in the Klang Valley using a questionnaire. The instrument that was used in this study was Pittsburgh Sleep Quality Index (PSQI) Malay version, screen-based media usage (SCREENS-Q) and Hopkins Symptom Check List-25 (HSCL-25) Malay version. The sampling method was stratified and convenience sampling method. The analysis study used the Smart Partial least squares (PLS) method to analyze the data.
RESULTS: Using the Smart PLS technique, we examined the relationship between these variables and identified revealed that screen time has a direct, positive, and significant impact on anxiety level (Mean = 0.134, β = 0.123, p 0.05) and depression (Mean = 0.044, β = 0.043, p
METHODOLOGY: A total of 396 students from the Management and Science University (MSU) participated during the semester of March 2010. Stratified random sampling was used and consent was obtained before the questionnaire was distributed. ANOVA and the t-test were used for the univariate analysis and multiple linear regression was used for the multivariate analysis.
RESULTS: The participants ages ranged from 18 to 27 years (Mean ± SD = 23.3 ± 1.57), more than half being female (62.4%). The majority were 23 years old or younger, single, Malay and from non-Medical and Health Science faculties and with a family monthly income of less than 10,000 Ringgits Malaysia(79.5%; 99%, 65.9, 52.5%, 63.9%; respectively). Only 18.4% of participants reported a family history of cancer. About 32.1% had a medical check-up in the previous 12 months and 17.4% were smokers. Multivariate analysis showed the faculty type to be significantly associated with knowledge of cancer prevention (p = 0.04). Regular medical check-ups were associated with attitudes and practices of cancer prevention (p = 0.04, p=0.003 respectively), the latter being significantly influenced by sex, family history of cancer and smoking (p = 0.034, p=0.013, p=0.002; respectively).
CONCLUSION: The majority of participants had poor knowledge of nutrition as related to cancer prevention. Attention should be given to regular medical check-ups, awareness of family history and smoking influence.
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: 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.