DESIGN: A nationwide longitudinal survey.
SETTING: Thirty-two randomly selected schools from 13 states and 3 federal territories in Malaysia from February to March 2013, and October to November 2013.
PARTICIPANTS: Form One female students (13 years old).
INTERVENTIONS: None.
MAIN OUTCOME MEASURES: Mean knowledge score of HPV infection.
RESULTS: A total of 2644 students responded to the prevaccination survey, of whom 2005 (70%) completed the postvaccination survey. The mean knowledge score was 2.72 (SD ± 2.20) of a maximum score of 10 in the prevaccination survey, which increased significantly to 3.33 (SD ± 1.73) after the 3 doses of HPV vaccine (P = .001). Many answered incorrectly that, "Only girls can get HPV infection" (91.5%, n = 1841 prevaccination vs 96.1%, n = 1927 postvaccination), and only a few were aware that, "Vaccinating boys helps to protect girls against HPV infection" (11.4%, n = 229 for prevaccination vs 10.2%, n = 206 for postvaccination). The mean knowledge score was significantly higher postvaccination among higher-income families and those with parents of a higher occupational status. Regarding beliefs about the HPV vaccine, 89.4% in the prevaccination survey held the view that they would not get a HPV infection, and the percentage remained similar in the postvaccination survey. Perceived severity of HPV infection also remained low in the pre- and postintervention groups. Only 21.5% reported receiving health information about HPV along with the provision of the HPV vaccine; those who received health information showed higher levels of knowledge.
CONCLUSION: Findings revealed a general lack of knowledge and erroneous beliefs about HPV and the HPV vaccine even after receiving vaccination. This suggests that imparting accurate knowledge about HPV along with vaccine administration is essential. Specifically, girls from lower socioeconomic groups should be a target of educational intervention.
METHODS: Out of the 7247 students in the ten selected schools studied, a total of 6248 students (2928 males, 3320 females) took part. A validated self-administered questionnaire was used. Data was analysed using SPSS version 22. Multivariable logistic regression was used to determine the adjusted odd ratio.
RESULTS: The prevalence of overweight and obesity was 16.0% and 11.5% respectively. Obesity/overweight was significantly (p<0.05) associated with gender, age, ethnicity, education level of father, education level of mother, physical activity, disordered eating, smoking status, body size perception and body part satisfaction. The multivariable analysis results showed that the odds of being overweight/obesity were higher in males compared to females (OR 1.56, 95%CI: 1.37, 1.77). The results also showed that the odds of being overweight/obesity were highest among those in age group 12 and 13 years and among Malay ethnicity. The odds of overweight/obesity were higher in those who was dissatisfied with their body parts, (OR 1.96, 95%CI: 1.71, 2.25), dissatisfied with their body size (OR: 4.25, 95%CI: 3.60, 5.02), low physical activity (OR 1.23, 95%CI: 1.06, 1.44), current smokers (OR 1.38, 95%CI: 1.07, 1.78) and at risk of having eating disorder (OR: 1.39, 95%CI 1.22, 1.59).
CONCLUSION: The overall prevalence of overweight and obesity is high. The findings from this study can be used by policy makers to plan an integrated intervention program in schools.
METHODS: This cross-sectional study was conducted among 392 schoolchildren aged 9-11 years, cluster sampled from five randomly selected schools in Kuala Lumpur. Whole-grain and fatty acids intakes were assessed by 3-day, 24-h diet recalls. All whole-grain foods were considered irrespective of the amount of whole grain they contained.
RESULTS: In total, 55.6% (n = 218) were whole-grain consumers. Mean (SD) daily intake of whole grain in the total sample was 5.13 (9.75) g day-1 . In the whole-grain consumer's only sample, mean (SD) intakes reached 9.23 (11.55) g day-1 . Significant inverse associations were found between whole-grain intake and saturated fatty acid (SAFA) intake (r = -0.357; P
METHODS: This cross-sectional study recruited first-year undergraduate students in the University of Uyo, Nigeria by multistage sampling. The International Physical Activity Questionnaire (IPAQ) short-version was used to assess physical activity in the study. Factors were categorised according to the Socio-Ecological Model which consisted of individual, social environment, physical environment and policy level. Data was analysed using the IBM SPSS statistical software, version 22. Simple and multiple logistic regression were used to determine the predictors of sufficient physical activity.
RESULTS: A total of 342 respondents completed the study questionnaire. Majority of the respondents (93.6%) reported sufficient physical activity at 7-day recall. Multivariate analysis revealed that respondents belonging to the Ibibio ethnic group were about four times more likely to be sufficiently active compared to those who belonged to the other ethnic groups (AOR = 3.725, 95% CI = 1.383 to 10.032). Also, participants who had a normal weight were about four times more likely to be physically active compared to those who were underweight (AOR = 4.268, 95% CI = 1.323 to 13.772).
CONCLUSION: This study concluded that there was sufficient physical activity levels among respondents. It is suggested that emphasis be given to implementing interventions aimed at sustaining sufficient levels of physical activity among students.
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: A total of 25 items were developed based on literature reviews encompassing four main constructs: sexual intention, attitude, social norms and self-efficacy. The YSI-Q then underwent a validation process that included content and face validity, exploratory factor analysis (EFA), reliability analysis, and confirmatory factor analysis (CFA). This study was conducted on unmarried youths aged 18 to 22 years who were studying in colleges around Klang Valley, Malaysia.
RESULTS: EFA supported the four factor structure, but five items were removed due to incorrect placement or low factor loading (<0.60). Internal reliability using Cronbach's alpha ranged between 0.89 and 0.94. The CFA further confirmed the construct, convergent and discriminant validity of the YSI-Q with χ 2 = 392.43, df = 164, p
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 AND STUDY DESIGN: Demographics, anthropometric measurements and menstrual history were taken. Hedonic preference, intake frequency of a list of sweet foods, intensity perception and pleasantness ratings of sweet stimuli were assessed. Saliva was collected for lactobacilli and mutans streptococci culture.
RESULTS: We found that centrally obese subjects (high waist circumference and waist-hip ratio) had significantly higher salivary lactobacilli and mutans streptococci counts (all p<0.05), while overweight and high total body fat subjects had significantly higher salivary mutans streptococci counts (p<0.001). The sweetness intensity perception of chocolate malt drinks was significantly lower in women who were in their pre-menstrual (post-ovulation) phase. However, menstruation variables (menstrual phases, regularity and pre-menstrual syndromes) did not play a role in determining compulsive eating, sweets/chocolate craving and salivary lactobacilli and mutans streptococci counts.
CONCLUSIONS: Taken together, salivary lactobacilli and mutans streptococci counts of the Malaysian women are associated with central obesity, but not sweet food eating behaviour, sweet sensitivity and menstruation variables. Salivary microbiome analysis could be useful as a potential diagnostic indicator of diseases such as obesity.