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Factors related to seatbelt-wearing among rear-seat passengers in Malaysia

Ng CP, Law TH, Wong SV, Kulanthayan S

Accid Anal Prev, 2013 Jan;50:351-60.
PMID: 22633252 DOI: 10.1016/j.aap.2012.05.004

The benefit of wearing a rear seatbelt in reducing the risk of motor vehicle crash-related fatalities and injuries has been well documented in previous studies. Wearing a seatbelt not only reduces the risk of injury to rear-seat passengers, but also reduces the risk of injury to front-seat occupant who could be crushed by unbelted rear-seat passengers in a motor vehicle crash. Despite the benefits of wearing a rear seatbelt, its rate of use in Malaysia is generally low. The objective of this study was to identify factors that are associated with the wearing of a seatbelt among rear-seat passengers in Malaysia. Multinomial logistic regression analysis of the results of a questionnaire survey of 1651 rear-seat passengers revealed that rear-seat passengers who were younger, male, single and less educated and who had a perception of a low level of legislation enforcement, a lower risk-aversion and less driving experience (only for passengers who are also drivers) were less likely to wear a rear seatbelt. There was also a significant positive correlation between driver seatbelt and rear seatbelt-wearing behaviour. This implies that, in regards to seatbelt-wearing behaviour, drivers are more likely to adopt the same seatbelt-wearing behaviour when travelling as rear-seat passengers as they do when driving. These findings are crucial to the development of new interventions to increase the compliance rate of wearing a rear seatbelt.
The motorcycle deaths to passenger car deaths ratio and economic performance: A panel data analysis

Sirajudeen AO, Law TH, Wong SV, Ng CP

Accid Anal Prev, 2022 Feb;165:106533.
PMID: 34902624 DOI: 10.1016/j.aap.2021.106533

The existing literature in road safety revealed that the relationship between motorcycle deaths and per-head income follows a Kuznets or reverse U-curve pattern, whereby motorcycle deaths incline at lower income levels but decline once the per-head income has exceeded a threshold level. The same reverse U-curve relationship was also observed between per-head income and other road injury-related variables, including road deaths, road injuries, as well as road deaths to road injuries ratio. Evidence showed that motorcycles and passenger cars are the dominant vehicle modes and contributed significantly to global road deaths. The main objective of this study is to examine the relationship between the motorcycle deaths to passenger car deaths (MDC) ratio and per-head Gross Domestic Product (GDP). Examining the relationship between the MDC ratio and GDP per capita can be effective in understanding the relative change between motorcycle and passenger car deaths at different economic development stages, as well as identifying appropriate preventive measures. We apply a panel linear regression analysis on a panel of 38 countries over the period 1965-2013. Result demonstrated that there is a reverse U-curve relationship between the MDC ratio and the logarithm of GDP per capita. This implies that, at lower levels of GDP per capita, motorcycle deaths were more prevalent than passenger car deaths, whereas as the level of GDP per capita rises, passenger car deaths became relatively prevalent than motorcycle deaths. Moreover, there is a reverse U-shaped relationship between motorcycle ownership to passenger car ownership ratio (MPC) and the MDC ratio, while a U-shaped relationship exists between relative growth in higher mobility roads as compared to higher accessibility roads (MPA) and the MDC ratio. Based on our results, policies and interventions to reduce motorcycle and passenger car deaths were suggested in the conclusion of the paper.
Fulltext The sources of the Kuznets relationship between the COVID-19 mortality rate and economic performance

Law TH, Ng CP, Poi AWH

Int J Disaster Risk Reduct, 2022 Oct 15;81:103233.
PMID: 36093278 DOI: 10.1016/j.ijdrr.2022.103233

This paper discusses the findings of an empirical analysis of the Kuznets, or reverse U-shaped relationship, between the COVID-19 mortality rate and economic performance. In the early stages of economic development, the COVID-19 mortality rate is anticipated to rise with rising economic activity and urbanization. Eventually, the mortality rate decreases at higher economic development levels as people and the government are more capable of investing in disease abatement measures. The quality of political institutions, wealth distribution, urbanization, vaccination rate, and improvements in healthcare systems are hypothesized to affect the COVID-19 mortality rate. Examining this relationship can be effective in understanding the change in the COVID-19 mortality rate at different economic performance stages and in identifying appropriate preventive measures. This study employed the negative binomial regression to model a cross-sectional dataset of 137 countries. Results indicated that the relationship between the per-head gross domestic product (GDP) level and the COVID-19 mortality rate appeared to follow a pattern like the Kuznets curve, implying that changes in institutional quality, healthcare advancements, wealth distribution, urbanization, vaccination rate, and the percentage of the elderly population were significant in explaining the relationship. Improvement of the healthcare system has a notable effect on lowering the COVID-19 mortality rate under more effective government conditions. Additionally, the results suggested that a higher per-head GDP is required to reverse the rising trend of the mortality rate under higher income inequality. Based on these results, preventive measures, and policies to reduce COVID-19 mortalities were recommended in the conclusion section.
Fulltext In vitro and ex-vivo cellular antioxidant protection and cognitive enhancing effects of an extract of Polygonum minus Huds (Lineminus™) demonstrated in a Barnes Maze animal model for memory and learning

George A, Ng CP, O'Callaghan M, Jensen GS, Wong HJ

BMC Complement Altern Med, 2014;14:161.
PMID: 24886679 DOI: 10.1186/1472-6882-14-161

Polygonum minus Huds.is a culinary flavouring that is common in South East Asian cuisine and as a remedy for diverse maladies ranging from indigestion to poor eyesight. The leaves of this herb have been reported to be high in antioxidants. Flavonoids which have been associated with memory, cognition and protection against neurodegeneration were found in P. minus.
Role of sensory and cognitive conspicuity in the prevention of collisions between motorcycles and trucks at T-intersections

Law TH, Ghanbari M, Hamid H, Abdul-Halin A, Ng CP

Accid Anal Prev, 2016 Nov;96:64-70.
PMID: 27505097 DOI: 10.1016/j.aap.2016.04.013

Motorcyclists are particularly vulnerable to injury in crashes with heavy vehicles due to substantial differences in vehicle mass, the degree of protection and speed. There is a considerable difference in height between motorcycles and trucks; motorcycles are viewed by truck drivers from downward angles, and shorter distances between them mean steeper downward angles. Hence, we anticipated that the effects of motorcycle conspicuity treatments would be different for truck drivers. Therefore, this study aims to evaluate the effects of motorcycle conspicuity treatments on the identification and detection of motorcycles by truck drivers. Two complementary experiments were performed; the first experiment assessed the impact of motorcycle sensory conspicuity on the ability of un-alerted truck drivers to detect motorcycles, and the second experiment assessed the motorcycle cognitive conspicuity to alerted truck drivers. The sensory conspicuity was measured in terms of motorcycle detection rates by un-alerted truck drivers when they were not anticipating a motorcycle within a realistic driving scene, while the cognitive conspicuity was determined by the time taken by alerted truck drivers to actively search for a motorcycle. In the first experiment, the participants were presented with 10 pictures and were instructed to report the kinds of vehicles that were presented in the pictures. Each picture was shown to the participants for 600ms. In the second experiment, the participants were presented with the same set of pictures and were instructed to respond by clicking the right button on a mouse as soon as they detected a motorcycle in the picture. The results indicate that the motorcycle detection rate increases, and the response time to search for a motorcycle decreases, as the distance between the targeted motorcycle and the viewer decreases. This is true regardless of the type of conspicuity treatment used. The use of daytime running headlights (DRH) was found to increase the detection rate and the identification of a motorcycle by a truck driver at a farther distance, but effect deteriorates as the distance decreases. The results show that the detection rate and the identification of a motorcyclist wearing a black helmet with a reflective sticker increases as the distance between the motorcycle and the truck decreases. We also found that a motorcyclist wearing a white helmet and a white outfit is more identifiable and detectable at both shorter and longer distances. In conclusion, although this study provides evidence that the use of appropriate conspicuity treatments enhances motorcycle conspicuity to truck drivers, we suggest that more attention should be paid to the effect of background environment on motorcycle conspicuity.
Fulltext Mobility and fear of falls measuring tools to predict falls risk among malaysian community dwelling older adults. [Abstract]

Ajit Singh DK, Ng ES, Ng CP, Ab Rahman NNA, Pannir Selvam SB

Jurnal Sains Kesihatan Malaysia, 2018;16(101):225-226.
MyJurnal DOI: 10.17576/JSKM-2018-35

Falls is a global health issue among older adults. Identifying measuring tools that can predict falls risk among older adults can assist in early falls risk detection and prevention. Best measuring tools that can predict falls risk among Malaysian community dwelling older adults is not known. The objective of our study was to determine if Timed Up and Go (TUG) test and Activities-Specific Balance Confidence (ABC) scale could be used as a falls risk predictor tools among Malaysian community dwelling older adults. Hundred and six (n = 106) community dwelling older adults who were attending Klinik Kesihatan Cheras participated in this cross sectional study. Falls incidence in the past one year was obtained from the participants. TUG test was performed and ABC scale was administered. Data was analysed using binomial logistic regression and receiver operating curves (ROC). The cut off values identified for TUG test and ABC scale were 9.02 seconds (area under the curve, AUC was 0.711; 95% CI 0.577-0.844) and 82.81% (area under the curve, AUC was 0.682; 95% CI 0.562-0.802) respectively. Hence, older adults with a score of above 9.02 seconds for TUG test and a score of below 82.81% for ABC scale were noted to have a higher risk of falls. Results of this study demonstrated that both TUG test (p < 0.001) and ABC scale (p < 0.01) were significant predictors of falls risk. Our study results indicated that both mobility (TUG test) and fear of falls (ABC scale) measuring tools, with the present cut off values can be used to identify community dwelling older adults who are at a higher risk of falls. Identifying older adults with higher risk of falls can assist the health professionals to optimise falls prevention and management approaches.
The sources of the Kuznets relationship between the road deaths to road injuries ratio and economic growth

Sirajudeen AO, Law TH, Wong SV, Jakarni FM, Ng CP

J Safety Res, 2021 09;78:262-269.
PMID: 34399922 DOI: 10.1016/j.jsr.2021.06.007

INTRODUCTION: Past empirical studies indicated that there is a Kuznets or reverse U-shaped relationship between road deaths and per capita income, such that the number of road death increases at a low level of per capita reverse U-shaped relationship was observed between road injuries and per capita income. While these studies explored the impact of per capita income on road deaths and road injuries, no studies have examined the relationship between per capita income and road death to road injury ratio (DPI).
METHOD: Using a fixed effects panel regression analysis from 67 countries spanning over a period of five decades (1960-2013), the present study sought to explore the impact of per capita gross domestic product (per capita GDP) on the DPI ratio and the underlying factors responsible for the relationship.
RESULTS: Our result suggests that per capita GDP followed a reverse U-shaped relationship with DPI. Moreover, the relative improvements in higher mobility roads as compared to improvements in higher accessibility roads, motorcycle ownership to passenger car ownership ratio, percentage of population living in an urban area, infant mortality rate, and the percentage of population below 15 years of age and above 64 years of age contributed to this relationship. Practical Applications: This implies that, at lower level of economic growth where road deaths exceed road injuries, countries should implement low-cost measures to combat road deaths cases. Such measures include mandating wearing of quality helmets and daytime running headlights for motorcycles. On the other hand, at higher level of economic growth where road injuries surpass road deaths, countries are encouraged to devote more resources to improving medical technology and services to treat road injury victims, mandating seatbelt use, as well as enhancing and promoting public transportation service.
Demand for digital skills, skill gaps and graduate employability: Evidence from employers in Malaysia

Tee PK, Wong LC, Dada M, Song BL, Ng CP

F1000Res, 2024;13:389.
PMID: 39262836 DOI: 10.12688/f1000research.148514.1

BACKGROUND: A major workforce inadequacy and the change in skill demanded have been observed due to the digital transformation. This study aims to identify the digital skills demanded by employers, focusing on exploring the skills gaps among the graduates that impact graduate employability.
METHODS: A cross sectional online survey was conducted among the companies registered with the Malaysian Productivity Corporation (MPC). Demand for digital skills was assessed using descriptive analysis of mean scores of the employers' rating in digital skills at present and in future. A pair sample t-test was performed to explore the existence of skill gaps, by comparing the demand versus competencies of the graduates' digital skills in the workplace.
RESULTS: Of the 393 responses collected, 376 responses were used for final analysis. The findings show that the current top three digital skills in demand are "information and data literacy", "problem-solving", and "digital content creation". Whereas the top digital skills for future demand are "problem-solving", "safety", and "communication and collaboration". In addition, the most significant (digital) skill gap is found in "communication and collaboration skills" followed by "problem-solving" and "safety" skills.
CONCLUSIONS: These findings provide insights into the digital skills demanded by employers in IR 4.0, allowing the practitioners, education service providers and policymakers to do better planning on human capital management and training development. By focusing on identifying the current and future demand for digital skills while exploring the digital skill gaps among the graduates, this study provides insight into the employability skills required by the graduate before entering the job market.