Comparing the impact of socio-demographic factors associated with traffic injury among older road users and the general population in Japan

Factors influencing the road accidents in low and middle-income countries: a systematic literature review

This paper studies the main factors affecting road traffic accidents (RTAs) using a systematic review. The primary focus is on factors related to road characteristics and driver behaviours. This review also addresses the socioeconomic and demographic factors to provide a clear overview of which groups suffer the most from RTAs. Several factors were found to affect RTAs, notably road characteristics: highways, high-speed roads, unplanned intersections and two-way roads without dividers; driver behaviours: reckless/aggressive driving and riding, excessive speeding, unawareness of traffic laws, and not using safety equipment; and vehicle types: four and two-wheeled. This review found that male and economically productive people with less education were mostly associated with RTAs. In addition, for most of the low and middle-income countries analyzed, there is a lack of quality data relating to RTAs. Nevertheless, this review provides researchers and policy makers with a better understanding of road accidents for improving road safety.

Unintentional Injuries and Sociodemographic Factors among Households in Ethiopia

Background

Unintentional injuries are a public health problem throughout the world including Africa. Most of the injury studies in Ethiopia are from the healthcare facility or workplace that does not reflect the problem at the community level. Therefore, this study aimed to assess the unintentional injuries and sociodemographic factors among households in Ethiopia.

Methods

This study was done from the Ethiopian Demographic and Health Survey conducted in 2016. The survey collected information about unintentional injuries and injury mechanisms in the past 12 months among 16,650 households. The selection of households was from nine regions and two city administrations of Ethiopia using a stratified cluster sampling procedure. Descriptive statistics were used to characterize the data and the chi-square test was applied as a test of significance and a p value of <0.05 was considered statistically significant.

Result

Of the 16,650 households that participated in the study, 394 (2.4%) reported that at least one household member suffered from an unintentional injury in the past 12 months. The leading mechanisms of injury were unintentional falls (152 falls, 33.2%) and road traffic incidents (96 incidents, 21.0%). Among household members who were injured, 84.3% survived and 15.7% died because of the injury. Divorce marital status of the household head [AOR: 2.12, 95% CI (1.12–4.41)] and family size of the household ≥ 6 [AOR:1.65, 95% CI (1.21–2.26)] were associated with high likelihood of occurrence of an injury, while lowest household wealth index [AOR: 0.69, 95% CI (0.50–0.95)] was protective against injuries.

Conclusion

A low prevalence of unintentional injury was found from the community in this survey, which might be due to the tendency of the community to report severe injuries. Fall and road traffic accidents were the leading mechanisms of selected sociodemographic factors of the households that were associated with unintentional injuries. Injury prevention efforts should focus on falls and transportation injuries with special attention to the sociodemographic context of the communities.

Determinants of severe injury and mortality from road traffic accidents among motorcycle and car users in Southern Thailand

This study aimed to identify factors associated with severe injury and mortality from road traffic accidents (RTA) among motorcycle and car users in southern Thailand. The data were obtained from the Office of Disease Prevention and Control, Thailand, for years 2008-2013. Chi-squared tests were used to assess associations between determinants and outcomes and these associations were then estimated after adjusting for possible confounding with other factors using logistic regression. Severe injury and mortality contributed 11.6% and 5% to RTA of motorcycle users, and 14.3% and 7.5% for car users. Among motorcycle users, male gender, older age, and not wearing a helmet increased severe injury and mortality rates, whereas drivers had more severe injuries than passengers. Older car users had higher severe injury and mortality rates, whereas not fastening seat belts had higher mortality. Safety device use should be made mandatory for both drivers and passengers. Male motorcycle users and the elderly should be focused on.

Factors associated with the occurrence of injuries requiring hospital transfer among older and working-age pedestrians in Kurume, Japan

Background

Pedestrian injuries among older people tend to occur near their residence. However, knowledge regarding whether distance travelled from home to the injury site or road environmental/socioeconomic factors affect injury severity remains limited.

Methods

A cross-sectional study was performed using injury registry data from the Kurume City Fire Department, Japan. Distance travelled from home was determined with geographic information system (GIS) software. Data were analyzed for potential association with injury occurrence and severity, with stratification by age. Signal detection analysis using 10 variables was applied to identify factors associated with the occurrence of severe pedestrian injuries.

Results

Among the 545 adult pedestrian injuries reviewed, the factors associated with the occurrence of severe pedestrian injuries for older people and working-age people were evaluated, focusing on the effect of the network distance travelled from home to injury site. Network distance travelled from home to injury site was not associated with the occurrence of severe pedestrian injuries among older people. By applying signal detection analysis, for older people, higher socioeconomic status, wider road width per lane, and higher aging rate in the residential area were significant factors, and for working-age pedestrians, longer network distance travelled between injury place and their residential area and a higher aging rate in the residential area were significantly associated.

Conclusions

To reduce severe pedestrian injuries among older people, improvement of road infrastructure in areas with wider roads, higher socioeconomic status and higher aging rates is required.

Socioeconomic Inequalities in Nonuse of Seatbelts in Cars and Helmets on Motorcycles among People Living in Kurdistan Province, Iran

BACKGROUND

The aim of this study was to determine the socioeconomic inequalities in nonuse of seatbelts in cars and helmets on motorcycles in Kurdistan Province, west of Iran, 2009.

METHODS

The data used in this study was collected from the data gathered in non-communicable disease surveillance system (NCDSS) in 2009 in Kurdistan. A total of 1000 people were included in this study. The outcome variable of this study was the nonuse of seatbelts and helmets. The socio-economic status (SES) was calculated based on participants' residential area and assets using Principal Component Analysis (PCA) method. The concentration index, concentration curve, and comparison of Odds Ratio (OR) in different SES groups were used to measure the socioeconomic inequalities using logistic regression. In order to determine the contribution of determinants of inequality, decomposition analysis was used.

RESULTS

The prevalence of nonuse of seatbelts in cars and helmets on motorcycles were 47.5%, 95%CI [44%, 55%], respectively. The Concentration index was -0.097, CI [-0.148, -0.046]. The OR of nonuse of seatbelts in cars and helmets on motorcycles in the richest group compared with the poorest group was 0.39, 95%CI [0.23, 0.68]. The results of the decomposition analysis showed that 34% of inequalities were due to SES, 47% were due to residential area, and 12% were due to unknown factors.

CONCLUSION

There is a reverse association between SES and nonuse of seatbelts in cars and helmets on motorcycles. This issue must be considered while planning to reduce traffic accidents injuries.

Comparison of road traffic injury characteristics between local versus floating migrant patients in a tertiary hospital between 2007 and 2010

Background

The aim of this study is to give a description of the road traffic injuries (RTIs) characteristics of floating migrant population by comparing with those of local residents in a harbor city of China.

Methods

A population-based descriptive study was carried out between 2007 and 2010 with RTI patient records from the Fifth Center Hospital of Tianjin. Inpatient diagnoses of RTI patients were defined using the International Classification of Diseases, Tenth Revision (ICD-10) codes. We analyzed the demographics and general characteristics of RTI patients that were in the hospital during the four years. In order to compare the group differences between local resident patients and floating migrant patients, the distribution of their ages, diagnoses, severity of injuries, duration of inpatient stays, hospitalization cost were analyzed.

Results

People between the ages of 16 and 55 were the most likely to suffer RTIs. The floating migrant patients between the ages of 16 and 45 had a higher incidence of accidents, while local resident patients between 46 and 55 had a higher incidence of accidents. Compared to local resident patients, floating migrant patients were more vulnerable to open injuries and severe traffic injuries. With the severity of injuries ranked from mild to severe, floating migrant patients had lower duration of inpatient stay, but higher hospitalization costs compared to local resident patients.

Conclusions

Floating migrant patients had a different age distribution, severity of injuries, diseases, inpatient duration and hospitalization cost compared with local resident patients. Compared to local resident patients, floating migrants had a higher risk to RTIs and were more vulnerable to severer traffic accidents at lower ages.