MATERIALS AND METHODS: An online search was conducted in Nov 2021 of all the dental schools in ten English-language speaking countries (U.S., Canada, U.K., Ireland, South Africa, Australia, New Zealand, Singapore, Hong Kong, and Malaysia) to identify departments/divisions in the disciplines of periodontology, cariology, and conservative/restorative/operative dentistry. The results were then compared against the findings of a similar investigation that was conducted from July to October 2008.

RESULTS: Of the 126 dental schools identified in 2021, information was available for 93 dental schools. Of these 93 schools, only 10 listed departments/divisions/disciplines of cariology, whereas 83 and 86 schools had listed periodontology and conservative/restorative/operative dentistry, respectively. Despite a doubling of the number of dental schools with a department/division/discipline of cariology from 2008 to 2021, the absolute gap in the number of departments/divisions/disciplines in the other two disciplines compared to cariology had widened during the thirteen years. In 2008, there were 70 more departments/divisions/disciplines in periodontology compared to cariology departments/divisions/disciplines. In 2021, there were 73 more departments/divisions/disciplines in periodontology. Additional information on research output was available for 90 dental schools in 2021, where 30 schools self-identified as undertaking cariology research, whereas 68 and 47 schools undertook research in periodontology and conservative/restorative/operative dentistry, respectively.

METHODS: This study adopted the instructional design framework of the Analysis, Design, Development, Implementation, Evaluation (ADDIE) model to guide the design and development of the functional training program. After development, the program was implemented and evaluated.

RESULTS: The results showed the program aroused students' interest and significantly improved students' physical fitness.

MATERIALS AND METHODS: This analytical cross-sectional study was conducted in the context of the urban area of Bangladesh. A multistage sampling technique was applied to select 324 children's mothers in Dhaka City. Data were collected from both city corporation settings in Dhaka, Bangladesh. Semi-structured questionnaires were used in this study. We estimated the depressive symptoms among mothers using the Zung Self-Rating Depression Scale. We examined the association of mothers of school-going children's socio-demographic variables and eating behaviors of school-going children with their mother's depression by using chi-square and evaluating the impact of these variables on mothers' depression through univariate and multivariate binary logistic regression.

RESULTS: In our study, 57.7% of the mothers of school-going children had depressive symptoms, and 42.3% had no depressive symptoms. The study explored that consuming fewer vegetables (AOR = 0.237, 95% CI: 0.099-0.569), taking fewer fruits (AOR = 0.177, 95% CI: 0.093-0.337), and interestingly, taking fast food less than 4 days per week (AOR = 3.024, 95% CI: 1.517-6.031) were significantly associated with mothers' depressive symptoms.

METHODS: We assessed five process indicators: recruitment, retention, dosage, fidelity, and satisfaction for the Toybox program. Data collection was conducted via teachers' monthly logbooks, post-intervention feedback through questionnaires, and focus group discussions (FGD) with teachers, parents, and children. Data were analyzed using quantitative and qualitative data analysis methods.

RESULTS: A total of 1072 children were invited. Out of the 1001 children whose parents consented to join, only 837 completed the program (Retention rate: 88.4%). As high as 91% of the 44 teachers and their assistants engaged positively in one or more of the process evaluation data collection methods. In terms of dosage and fidelity, 76% of parents had received newsletters, tip cards, and posters at the appropriate times. All teachers and their assistants felt satisfied with the intervention program. However, they also mentioned some barriers to its implementation, including the lack of suitable indoor environments to conduct activities and the need to make kangaroo stories more interesting to captivate the children's attention. As for parents, 88% of them were satisfied with the family-based activities and enjoyed them. They also felt that the materials provided were easy to understand and managed to improve their knowledge. Lastly, the children showed positive behaviors in consuming more water, fruits, and vegetables.

METHODS: Data were obtained from the Global Youth Tobacco Survey Timor-Leste. Ordered logistic regressions were used to examine the associations between knowledge of smoking and sociodemographic, and lifestyle factors. Structural equation modelling was utilized to explore the mediating effects.

RESULTS: Adolescents were less likely to have high knowledge of smoking if they were lower-secondary students, were males, had unemployed parents and had no closest friends who smoked. The relationship between grade levels and smoking knowledge was partly mediated by awareness of anti-tobacco messages on mass media, school education about the dangers of smoking and family discussion about smoking.

METHODS: Latent class analysis (LCA) was employed to model the co-occurrence of PTEs in two school samples of adolescents from India (n = 411) and Malaysia (n = 469). Demographic correlates (i.e., sex, age, household composition, parent education) of the latent classes and the association between latent class membership and probable diagnosis of posttraumatic stress disorder (PTSD) were examined.

RESULTS: The LCA identified three latent classes for the Indian sample: 'Low Risk - moderate sexual trauma', 'Moderate Risk', and 'High Risk'. Similarly, three classes were also identified for the Malaysian sample: 'Low Risk', 'Moderate Risk', and 'High Risk'. Membership of 'Moderate Risk' was associated with male sex in both samples, and with older age and lower levels of parental education attainment in the Malaysian sample. No correlates of 'High Risk' class were identified in either sample. Membership of the 'High Risk' class was significantly associated with probable PTSD diagnosis in both samples, while membership of the 'Moderate Risk' class was associated with probable PTSD diagnosis in the Malaysian sample.

OBJECTIVE: This paper mainly focuses on developing MyAsriGeo, a geospatial drug abuse risk assessment and monitoring dashboard tailored for school students. It introduces innovative functionality, seamlessly orchestrating the assessment of drug abuse usage patterns and risks using multivariate student data.

METHODS: A geospatial drug abuse dashboard for monitoring and analysis was designed and developed in this study based on agile methodology and prototyping. Using focus group and interviews, we first examined and gathered the requirements, feedback, and user approval of the MyAsriGeo dashboard. Experts and stakeholders such as the National Anti-Drugs Agency, police, the Federal Department of Town and Country Planning, school instructors, students, and researchers were among those who responded. A total of 20 specialists were involved in the requirement analysis and acceptance evaluation of the pilot and final version of the dashboard. The evaluation sought to identify various user acceptance aspects, such as ease of use and usefulness, for both the pilot and final versions, and 2 additional factors based on the Post-Study System Usability Questionnaire and Task-Technology Fit models were enlisted to assess the interface quality and dashboard sufficiency for the final version.

RESULTS: The MyAsriGeo geospatial dashboard was designed to meet the needs of all user types, as identified through a requirement gathering process. It includes several key functions, such as a geospatial map that shows the locations of high-risk areas for drug abuse, data on drug abuse among students, tools for assessing the risk of drug abuse in different areas, demographic information, and a self-problem test. It also includes the Alcohol, Smoking, and Substance Involvement Screening Test and its risk assessment to help users understand and interpret the results of student risk. The initial prototype and final version of the dashboard were evaluated by 20 experts, which revealed a significant improvement in the ease of use (P=.047) and usefulness (P=.02) factors and showed a high acceptance mean scores for ease of use (4.2), usefulness (4.46), interface quality (4.29), and sufficiency (4.13).

METHODS: Data were collected by manually recording of aired advertisements from 16 non-school days (July to September 2020) and 16 school days (January to April 2021). Descriptive and inferential statistical analyses were used to assess children's rates of exposure to food advertisements (mean ± SD of advertisements aired per channel per hour), the healthiness of promoted foods (as permitted (healthier) or not permitted (unhealthy) according to nutrient profiling models from the World Health Organization), and persuasive techniques used in food advertisements, including promotional characters and premium offers.

METHODS: A cross-sectional study was conducted with 292 personnel working in Klang Valley preschools. The participants completed an online questionnaire asking about sociodemographic information and food allergy KAM. Mann-Whitney U and chi-squared tests were used to compare the KAM level between public and private preschool personnel and examine the association of KAM of food allergy with various sociodemographic factors, respectively.

OBJECTIVES: This study examined the relationship between suicide attempts and bullying among school adolescents in Malaysia.

METHODS: Data from the Malaysia NHMS 2017, a nationwide study that adopted a two-stage cluster sampling design, were analysed. The survey used a self-administered questionnaire in bilingual language adapted from GSHS developed by WHO. Participants were secondary school students aged 13 -17 in all states. Descriptive and multiple logistic regression analyses were performed using IBM SPSS version 28.

METHODS: We analysed data from the National School-Based Nutrition Survey (NSNS). The NSNS was a nationwide, cross-sectional survey. Multiple-stage stratified cluster random sampling method was applied to obtain a representative sample of adolescents' population. This study recruited adolescents aged 10-18 years who were attending schools. Pre-tested self-administered questionnaires in Malay language were used to obtain relevant information. Frequency of fast-food consumption per week was classified into three groups: "consumed fast-food four to seven days", "consumed fast-food one to three days", and "did not consume fast-food". Intake of food groups was assessed by self-administered food frequency questionnaire. Descriptive and complex sample multinomial logistic regression analyses were performed in data analysis.

RESULTS: A total of 26,383 from 40,012 selected adolescents completed all the relevant questions for this study. Of those surveyed, 13.5% of the respondents consumed fast-food 4 to 7 days, 69.3% of the respondents consumed fast food 1 to 3 days, and 17.2% of them did not consume fast-food in a typical week. Frequency of fast-food consumptions (4 to 7 days and 1 to 3 days per week) was significantly associated with age; sex; ethnicity; locality of schools; frequency of eating out; and not consuming recommended intake of cereals or grains, vegetables, and meat or poultry or eggs.

OBJECTIVES: To assess the effectiveness of school dental screening programmes on overall oral health status and use of dental services.

SEARCH METHODS: An information specialist searched four bibliographic databases up to 15 October 2021 and used additional search methods to identify published, unpublished and ongoing studies.

SELECTION CRITERIA: We included randomised controlled trials (RCTs; cluster- or individually randomised) that evaluated school dental screening compared with no intervention, or that compared two different types of screening.

DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane.

MAIN RESULTS: The previous version of this review included seven RCTs, and our updated search identified one additional trial. Therefore, this update included eight trials (six cluster-RCTs) with 21,290 children aged 4 to 15 years. Four trials were conducted in the UK, two in India, one in the USA and one in Saudi Arabia. We rated two trials at low risk of bias, three at high risk of bias and three at unclear risk of bias.  No trials had long-term follow-up to ascertain the lasting effects of school dental screening. The trials assessed outcomes at 3 to 11 months of follow-up. No trials reported the proportion of children with treated or untreated oral diseases other than caries. Neither did they report on cost-effectiveness or adverse events. Four trials evaluated traditional screening versus no screening. We performed a meta-analysis for the outcome 'dental attendance' and found an inconclusive result with high heterogeneity. The heterogeneity was partly due to study design (three cluster-RCTs and one individually randomised trial). Due to this inconsistency, and unclear risk of bias, we downgraded the evidence to very low certainty, and we are unable to draw conclusions about this comparison. Two cluster-RCTs (both four-arm trials) evaluated criteria-based screening versus no screening, suggesting a possible small benefit (pooled risk ratio (RR) 1.07, 95% confidence interval (CI) 0.99 to 1.16; low-certainty evidence). There was no evidence of a difference when comparing criteria-based screening to traditional screening (RR 1.01, 95% CI 0.94 to 1.08; very low-certainty evidence). One trial compared a specific (personalised) referral letter to a non-specific letter. Results favoured the specific referral letter for increasing attendance at general dentist services (RR 1.39, 95% CI 1.09 to 1.77; very low-certainty evidence) and attendance at specialist orthodontist services (RR 1.90, 95% CI 1.18 to 3.06; very low-certainty evidence). One trial compared screening supplemented with motivation to screening alone. Dental attendance was more likely after screening supplemented with motivation (RR 3.08, 95% CI 2.57 to 3.71; very low-certainty evidence). One trial compared referral to a specific dental treatment facility with advice to attend a dentist. There was no evidence of a difference in dental attendance between these two referrals (RR 0.91, 95% CI 0.34 to 2.47; very low-certainty evidence). Only one trial reported the proportion of children with treated dental caries. This trial evaluated a post-screening referral letter based on the common-sense model of self-regulation (a theoretical framework that explains how people understand and respond to threats to their health), with or without a dental information guide, compared to a standard referral letter. The findings were inconclusive. Due to high risk of bias, indirectness and imprecision, we assessed the evidence as very low certainty.