Smoking among school children is becoming a serious problem in developing countries, including Bangladesh. The early initiation of smoking needs urgent intervention to protect this vulnerable group and preventing them to be addicted. This study aims to determine the age at initiation of smoking and factors affecting it. A two-stage cluster sampling was used with a selection of schools on probability proportional to enrolment size followed by stratified random sampling of government and private schools and then a random start in classes VIII, IX and X of each school targeting the students aged 13 years and above. Data collected from secondary school students using self-administered structured questionnaire. All analyses were performed with SPSS version 20.0. Missing value was treated by multiple imputations. A total of 6877 data were analysed in which 84.7% were non-smoker, 9.5% were ever smoker and 5.8% were current smokers. Among the ever smoker (n=823), 38% were current smokers, 56.5% former and 5.5% were recent quitters. The mean (SD) age at initiation of smoking was 10.9 (0.2) years. Multinomial regression analysis revealed that class grade, peer pressure and offered free cigarette appeared to be significant predictors of smoking initiation (p<0.05). Parental smoking and type of schools appeared as significant factors for smoking initiation by bi-variate analysis, but regression analysis did not significantly influence (p>0.05). Promotion of smoking resistance skills among children and teens through comprehensive approaches designed to enhance general personal competence by teaching an array of personal and social life skills is recommended.
Smoking ; Schools ; Students ; Developing Countries

Gamma-tocotrienol (GTT) has been shown to exhibit significant antitumor activity in a variety of tumor cells. Previous findings have demonstrated that GTT had antiprolifera-tive effects on a liver cancer cell line (HepG2) with an IC50 value of 170μM. In this study, two dimensional gel electrophoresis (2DE) was used to determine changes in protein expression in HepG2 cell line following treatment with GTT. The ultimate aim is to identify the possible molecular mechanisms involved in GTT antitumor activity. This study is focused on obtaining a 2DE protein profile for HepG2 cell line with and without GTT treatment. In the preliminary analysis of the resulting 2DE profiles, 18 protein spots were found to be differentially expressed in cells treated with GTT. This observation is confirmed by extending the analysis to a larger sample size. By studying the effects of GTT treatment on differential protein expression in HepG2 cells the underly-ing mechanisms involved in the antitumor activity of GTT may be elucidated.

Mycobacterium africanum is endemic to West Africa and is rare outside this region. Most of the people infected with M. africanum outside Africa are migrants from affected parts of Africa. We report a rare case of pulmonary tuberculosis (TB) secondary to M. africanum in a man in Brunei Darussalam who had lived and worked in Guinea, West Africa for 6 years more than 20 years ago. He had been well until December 2020, when he presented with a chronic cough and was diagnosed with coinfections of Klebsiella pneumoniae and M. africanum, and newly diagnosed diabetes mellitus. This case highlights an interesting manifestation of pulmonary TB secondary to M. africanum in a patient whose last exposure was 20 years ago, contributed to by development of diabetes mellitus.

Abstract: Differences in clinical manifestations between strains of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been reported. This retrospective descriptive study compares the clinical and demographic characteristics of all confirmed coronavirus disease (COVID-19) cases admitted to the National Isolation Centre (NIC) in the first wave and at the beginning of the second wave of the pandemic in Brunei Darussalam. Methods: All COVID-19 cases admitted to the NIC between 9 March and 6 May 2020 (first wave) and 7–17 August 2021 (second wave) were included. Data were obtained from NIC databases and case characteristics compared using Student’s t-tests and chi-squared tests, as appropriate. Results: Cases from the first wave were significantly older than those from the second wave (mean 37.2 vs 29.7 years, P<0.001), and a higher proportion reported comorbidities (30.5% vs 20.3%, P=0.019). Cases from the second wave were more likely to be symptomatic at admission (77.7% vs 63.1%, P<0.001), with a higher proportion reporting cough, anosmia, sore throat and ageusia/dysgeusia; however, myalgia and nausea/vomiting were more common among symptomatic first wave cases (all P<0.05). There was no difference in the mean number of reported symptoms (2.6 vs 2.4, P=0.890). Discussion Our study showed clear differences in the profile of COVID-19 cases in Brunei Darussalam between the first and second waves, reflecting a shift in the predominating SARS-CoV-2 strain. Awareness of changes in COVID-19 disease manifestation can help guide adjustments to management policies such as duration of isolation, testing strategies, and criteria for admission and treatment.

Objective: This retrospective, cross-sectional, observational study assessed the duration of coronavirus disease 2019 (COVID-19) symptoms during the second wave in Brunei Darussalam. Methods: Data from COVID-19 cases admitted to the National Isolation Centre during 7–30 August 2021 were included in the study. Symptom onset and daily symptom assessments were entered into a database during hospitalization and disease was categorized by severity. The time between symptom onset and hospital admission, the duration of symptoms and length of hospitalization were assessed separately by age group, disease severity and vaccination status using one-way analysis of variance with Bonferroni post hoc corrections. Results: Data from 548 cases were included in the study: 55.7% (305) of cases were male, and cases had a mean age of 33.7 years. Overall, 81.3% (446) reported symptoms at admission (mean number of symptoms and standard deviation: 2.8 ± 1.6), with cough (59.1%; 324), fever (38.9%; 213) and sore throat (18.4%; 101) being the most common. Being older, having more severe disease and being unvaccinated were significantly associated with the time between symptom onset and hospital admission, symptom duration and length of hospitalization. Discussion: Knowing which factors predict the duration of COVID-19 symptoms can help in planning management strategies, such as the duration of isolation, predict the length of hospitalization and treatment, and provide more accurate counselling to patients regarding their illness.

Objective: Patients who recover from coronavirus disease (COVID-19) infection are at risk of long-term health disorders and may require prolonged health care. This retrospective observational study assesses the number of health-care visits before and after COVID-19 infection in Brunei Darussalam. Methods: COVID-19 cases from the first wave with 12 months of follow-up were included. Health-care utilization was defined as health-care visits for consultations or investigations. Post-COVID condition was defined using the World Health Organization definition. Results: There were 132 cases; 59.1% were male and the mean age was 37.1 years. The mean number of health-care visits 12 months after recovery from COVID-19 (123 cases, 93.2%; mean 5.0 ± 5.2) was significantly higher than the prior 12 months (87 cases, 65.9%, P<0.001; mean 3.2 ± 5.7, P<0.001). There was no significant difference when scheduled COVID-19 visits were excluded (3.6 ± 4.9, P = 0.149). All 22 cases with moderate to critical disease recovered without additional health-care visits apart from planned post-COVID-19 visits. Six patients had symptoms of post-COVID condition, but none met the criteria for diagnosis or had alternative diagnoses. Discussion: There were significantly more health-care visits following recovery from COVID-19. However, this was due to scheduled post-COVID-19 visits as per the national management protocol. This protocol was amended prior to the second wave to omit post-COVID-19 follow-up, except for complicated cases or cases with no documented radiological resolution of COVID-19 pneumonia. This will reduce unnecessary health-care visits and conserve precious resources that were stretched to the limit during the pandemic.