METHOD: A generalized linear model (GLM) estimates the relationships between different travel mode indicators (e.g., length of motorway per inhabitants, number of motorcycles per inhabitant, percentage of daily trips on foot and by bicycle, percentage of daily trips by public transport) and the number of passenger transport fatalities. Because this city-level model is developed using data sets from different cities all over the world, the impacts of gross domestic product (GDP) are also included in the model.
CONCLUSIONS: Overall, the results imply that the percentage of daily trips by public transport, the percentage of daily trips on foot and by bicycle, and the GDP per inhabitant have negative relationships with the number of passenger transport fatalities, whereas motorway length and the number of motorcycles have positive relationships with the number of passenger transport fatalities.
Methods: Using specific keywords and search terms, relevant articles were screened, identified and analyzed systematically using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Results: Twenty-seven final articles were reviewed and found that almost every part of motorcycle and motorcyclist's conspicuity intervention have been covered in past studies. In terms of conspicuity aids, the majority of past studies discussed conspicuity enhancement in the frontal area, particularly on motorcycle daytime running headlight (DRH) color and configurations. Few other studies have discussed in other areas, particularly on rear running and brake light and motorcycle color. There were also numerous studies looking at motorcyclists' appearances in terms of their attire and helmet color.
Conclusion: Motorcycle and motorcyclist's appearances are highly associated with the risk of motorcycle crashes. The most important part of enhancing motorcycle conspicuity is to ensure motorcycle appearance is always in contrast with the road traffic environment.
METHODS: A nationally representative survey was employed in 900 elementary, junior high, and senior high schools that were located in 60 regions or 24 provinces of Indonesia. Each school's compliance with SFZ parameters was measured using a closed-ended questionnaire. The dataset was analyzed using frequency distribution, while the chi-square was performed to analyze the measurement effect of each parameter for SFZ compliance.
RESULTS: Java Island is the region with the largest proportion of school units (10%) studied in this study, and the largest group of the schools are high schools (36.1%). In terms of SFZ compliance, 413 (45.9%) of schools had perfect compliance scores of 8, followed by 183 schools (20.3%) with a score of 7 and 107 (11.9%) with a score of 6. It was found that parameter 5, namely cigarette butts found in the school environment, had the largest proportion when a school did not apply SFZ. Cigarette butts were found in 261 (29.0%) schools. Cigarette butts found in schools contributed 7.8 times to not applying SFZ compared to schools where no cigarette cutters were found.
CONCLUSION: Although the SFZ compliance rate in Indonesian schools is 66.2% at least on 7 of 8 existed parameters, this means most of schools still aren't fully complying with the regulations for SFZs. This recent evidence will help decisionmakers to enforce tobacco control, particularly among youth, which form the pillar of national development.
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MATERIALS AND METHODS: This cross-sectional observational study conducted in SGH during the pandemic with an online self-administered questionnaire composed of two parts, the socio-demographic characteristics, and the Depression Anxiety Stress Scale (DASS).
RESULTS: A total of 105 healthcare workers responded to this study. A questionnaire in both Bahasa Melayu and English was used. The findings showed that all healthcare workers had mild anxiety, with the majority experiencing mild stress (57.1%), and almost half of the respondents experiencing mild depression (41%). Female subjects had a significant higher mean score in anxiety level and stress level compared to male subjects (10.0±3.20 vs. 8.6±2.93, p<0.05; 14.1±4.76 vs. 10.7±3.70, p<0.05, respectively). Staff who were transferred from other units to handle COVID-19 cases experienced more psychological symptoms. There were significant correlations between the depression, anxiety and stress levels among the healthcare workers and the number of children they had (r=0.739, p=0.001; r=0.642, p=0.001; r=1, p =0.001 respectively). However, the stress level among the healthcare workers was reversely correlated with their years of working experience (r=-0.199, p=0.042).
CONCLUSION: This study identified some socio-demographic factors associated with increased levels of stress, anxiety and depression among the healthcare workers during pandemic, which may lay ground for future interventions.