DESIGN AND MEASURES: Data were analysed from the Global School-Based Student Health Survey Timor-Leste (n = 3455). An ordered probit model was used to assess the effects of demographic, lifestyle, social, and psychological factors on different levels of worry-related sleep problems (i.e., no, mild and severe sleep problems).
RESULTS: School-going adolescents were more likely to face mild or severe worry-related sleep problems if they were older, passive smokers, alcohol drinkers and moderately active. School-going adolescents who sometimes or always went hungry were more likely to experience worry-related sleep problems than those who did not. Involvement in physical fights, being bullied, and loneliness were positively associated with the probability of having modest or severe worry-related sleep problems.
CONCLUSION: Age, exposure to second-hand smoke, alcohol consumption, physical activity, going hungry, physical fights, being bullied and loneliness are the important determining factors of adolescent worry-related sleep problems. Policymakers should pay special attention to these factors when formulating intervention measures.
METHODS: A systematic search of Medline via the PubMed, Science Direct, Cochrane Review and Web of Science databases was conducted for studies on the associations between diet and PA factors and cardio-metabolic risk factors among Malaysian adolescents aged 13-18 years that were published until 31 August 2017. The search results were independently screened and extracted by two reviewers.
RESULTS: From over 2,410 references retrieved, 20 full texts articles were screened as potentially relevant. Seventeen (16 cross-sectional and one intervention) met the inclusion criteria for data extraction and analysis. All 17 studies were rated as poor quality and the majority had made insufficient adjustment for confounders. As regards the effect of diet and PA on cardio-metabolic health, the intakes of energy (n = 4) and macronutrients (n = 3) and meal frequency (n = 5) were the most commonly studied dietary factors, while the PA score and level were the most commonly studied PA factors. In addition, BMI and body weight were the most common cardio-metabolic health outcomes. The studies showed that obese and overweight adolescents consume significantly more energy and macronutrients. They are also more likely to skip their daily meals compared to their normal weight peers. In most studies, the direction of the PA effect on body weight was unclear. Some studies found that higher PA is associated with a lower risk of overweight and obesity. However, the associations are often small or inconsistent, with few studies controlling for confounding factors.
CONCLUSIONS: This review identified a lack of evidence and well-conducted prospective studies on the effect of diet and PA on cardio-metabolic health of Malaysian adolescents.
METHODS: This was a cross-sectional study. A total of 327 secondary school students completed the Alcohol Use Disorder Identification Test and Children's Depression Inventory, and a sociodemographic questionnaire. Binary and multivariable logistic regression were used to examine the relationship between the different variables.
RESULTS: A total of 42.2% of adolescents had PAU. Urban adolescents had a higher prevalence compared with rural adolescents (OR, 1.612; 95% CI: 1.036-2.508 P = 0.034). Female adolescents (56.8%) and Bumiputera Sarawak adolescents (76.8%) comprised a large proportion of the respondents with PAU. Cultural norm (78.3%) and curiosity (68.1%) were the two main reasons for PAU. Only family history of alcohol use (OR, 2.273; 95% CI: 1.013-5.107; P = 0.047), ever consumed alcohol (OR, 57.585; 95% CI: 21.885-151.525; P
METHODS: A cross-sectional study was carried out at three selected public schools in the state of Selangor. A total of 379 Malaysian adolescents completed the PedsQL 4.0 adolescent self-report and 218 (55.9%) parents completed the PedsQL 4.0 parent proxy-report. Weight and height of adolescents were measured and BMI-for-age by sex was used to determine their body weight status.
RESULTS: There were 50.8% male and 49.2% female adolescents who participated in this study (14.25 ± 1.23 years). The prevalence of overweight and obesity (25.8%) was four times higher than the prevalence of severe thinness and thinness (6.1%). Construct validity was analyzed using Confirmatory Factor Analysis (CFA). Based on CFA, adolescent self-report and parent proxy-report met the criteria of convergent validity (factor loading > 0.5, Average Variance Extracted (AVE) > 0.5, Construct Reliability > 0.7) and showed good fit to the data. The adolescent self-report and parent proxy-report exhibited discriminant validity as the AVE values were larger than the R(2) values. Cronbach's alpha coefficients of the adolescent self-report (α = 0.862) and parent proxy-report (α = 0.922) showed these instruments are reliable. Parents perceived the HRQoL of adolescents was poorer compared to the perception of the adolescent themselves (t = 5.92, p < 0.01). There was no significant difference in total HRQoL score between male and female adolescents (t = 0.858, p > 0.05). Parent proxy-report was negatively associated with the adolescents' BMI-for-age (r = -0.152, p < 0.05) whereas no significant association was found between adolescent self-report and BMI-for-age (r = 0.001, p > 0.05).
CONCLUSION: Adolescent self-report and parent proxy-report of the PedsQL 4.0 are valid and reliable to assess HRQoL of Malaysian adolescents. Future studies are recommended to use both adolescent self-report and parent-proxy report of HRQoL as adolescents and parents can provide different perspectives on HRQoL of adolescents.
METHOD: A cross-sectional self-administered online survey was conducted among students aged 13-17 from May 15th, 2021, until May 30th, 2021, using the Malay version of the Internet Addiction Test (MVIAT), the Depression, Anxiety, and Stress Scale (DASS-21), and the Coronavirus Impacts Questionnaires, as well as a sociodemographic information form. The data was analyzed with IBM SPSS Statistics version 23.
RESULTS: A total of 420 adolescents participated in the survey. The majority of them (70.7%) were female, with a mean age of 15.47 years (±1.49 years old). About 45.5% of the respondents were classified as internet addicted users. The Chi-square test analysis showed that age (p = 0.002), smartphone usage (p = 0.010), rate of midnight use (p
METHODS: Data were derived from a cross-sectional study of 1082 adolescents in 22 welfare institutions located across Peninsular Malaysia in 2009. Using supervised self-administered questionnaires, adolescents were asked to assess their self-esteem and to complete questions on pubertal onset, substance use, family structure, family connectedness, parental monitoring, and peer pressure. SRB was measured through scoring of five items: sexual initiation, age of sexual debut, number of sexual partners, condom use, and sex with high-risk partners. Multivariate logistic regression analysis was used to examine the various predictors of sexual risk behaviour.
RESULTS: The study showed that 55.1% (95%CI = 52.0-58.2) of the total sample was observed to practice sexual risk behaviours. Smoking was the strongest predictor of SRB among male adolescents (OR = 10.3, 95%CI = 1.25-83.9). Among females, high family connectedness (OR = 3.13, 95%CI = 1.64-5.95) seemed to predict the behaviour.
CONCLUSION: There were clear gender differences in predicting SRB. Thus, a gender-specific sexual and reproductive health intervention for institutionalised adolescents is recommended.
OBJECTIVES: 1) To determine the percentage of schoolchildren who quit smoking through the KOTAK program; 2) To identify factors associated with quitting smoking in the program.
METHODS: A clustered, randomized controlled trial was conducted in schools. Self-reported smokers meeting inclusion criteria were enrolled. Data on demographics, self-reported smoking abstinence, and nicotine addiction levels were collected at baseline, three months, and six months post-intervention. Exhaled carbon monoxide was measured at all time points, and salivary cotinine was collected at three- and six-month follow-ups.
RESULTS: Six months post-intervention, 29.8% of students in intervention schools and 14.6% in control schools reported quitting smoking. The odds of quitting were higher with the KOTAK program (aOR = 2.25, 95% CI = 1.11-4.57). Factors such as age, maternal education, and baseline nicotine addiction level were protective for smoking abstinence.
CONCLUSION: The intervention group showed a higher self-reported smoking cessation rate, indicating the potential efficacy of the KOTAK program.