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The present study utilised the social determinants of health (SDH) framework to see whether indicators of the framework have an impact on anxiety and depression of people living in rural Black Belt communities in Alabama. Data from a convenient sample of 159 African-Americans aged 18 or older were from two sites in rural Alabama. The levels of anxiety and depression were measured by the Patient Health Questionnaire-9 (PHQ9). Multiple linear regression model was used to examine the association between SDH and anxiety and depression level of participants. The mean PHQ9 score of participants was 5.57 out of twenty-seven. Four SDH were significantly related to PHQ9 levels amongst participants: participants with higher food insecurity scores, higher transportation needs and higher threats to interpersonal safety tended to have higher scores in PHQ9. Moreover, health literacy levels were negatively associated with PHQ9 scores amongst participants. Our study highlights understanding SDH specifically for residents in rural communities that are socially and culturally isolated is important for developing preventive approaches that enhance access to mental health treatments. A comprehensive public health policy that incorporates our study findings is needed for the rural areas of the USA. [ABSTRACT FROM AUTHOR]

This study aims at identifying risk factors attributed to fatal fixed-object crashes on noninterstate roads. Logistic regression modeling was used to understand the relation or extent of the effect of selected independent variables on fatal fixed-object crashes on noninterstate roads. A total of 30 independent variables were considered in this study. At a 95% confidence interval, nine independent variables were found to play a statistically significant role on fatal fixed-object crashes on noninterstate roads. The probability of getting involved in a fatal fixed-object crash on noninterstate roads with full access control is lower compared to noninterstate roads with no access control. Rolling terrain reduces the probability of getting involved in a noninterstate fatal fixed-object crash. Older drivers are more likely to be killed in a noninterstate fatal fixed-object crash. Drivers under the influence of alcohol are four times more likely to be killed in a noninterstate fatal fixed-object crash compared to a sober driver. The findings from this study provide adequate evidence and assist traffic engineers and policy makers to better understand the role of risk factors and identify suitable countermeasures to reduce fatal fixed-object crashes specifically on noninterstate roads. [ABSTRACT FROM AUTHOR]

Objective: The objective of this research is 2-fold: to (a) model and identify critical road features (or locations) based on crash injury severity and compare it with crash frequency and (b) model and identify drivers who are more likely to contribute to crashes by road feature.Method: Crash data from 2011 to 2013 were obtained from the Highway Safety Information System (HSIS) for the state of North Carolina. Twenty-three different road features were considered, analyzed, and compared with each other as well as no road feature. A multinomial logit (MNL) model was developed and odds ratios were estimated to investigate the effect of road features on crash injury severity.Results: Among the many road features, underpass, end or beginning of a divided highway, and on-ramp terminal on crossroad are the top 3 critical road features. Intersection crashes are frequent but are not highly likely to result in severe injuries compared to critical road features. Roundabouts are least likely to result in both severe and moderate injuries. Female drivers are more likely to be involved in crashes at intersections (4-way and T) compared to male drivers. Adult drivers are more likely to be involved in crashes at underpasses. Older drivers are 1.6 times more likely to be involved in a crash at the end or beginning of a divided highway.Conclusions: The findings from this research help to identify critical road features that need to be given priority. As an example, additional advanced warning signs and providing enlarged or highly retroreflective signs that grab the attention of older drivers may help in making locations such as end or beginning of a divided highway much safer. Educating drivers about the necessary skill sets required at critical road features in addition to engineering solutions may further help them adopt safe driving behaviors on the road. [ABSTRACT FROM AUTHOR]

Objective: Violation of traffic rules is a major contributing factor in both crashes and fatalities in the United States. This study aims at quantifying risk that drivers pose to themselves and other drivers by violating traffic rules.Method: Crash data from 2010 to 2013 were gathered for the state of North Carolina. Descriptive analysis was carried out to identify frequent traffic violations and who were committing the traffic violations that resulted in crashes. A multinomial logit model was then developed to examine the relation between different traffic violations and driver injury severity. Additionally, odds ratios were estimated to identify the likelihood (probability) of severe or moderate injury to the driver and other drivers due to a driver violating a traffic rule that led to a crash.Results: Exceeding the speed limit is more likely to result in severe injury compared to disregarding traffic signals. However, going the wrong way is more likely to result in severe injury to other drivers when compared to any other traffic violation. Driving under the influence of alcohol is 2 times more likely to result in severe injury than driving under the influence of drugs. These 2 traffic violations by a driver are almost equally likely to result in severe injury to other drivers.Conclusions: Drivers often perceive that violating traffic rules will not result in a crash or severe injury. However, the results from this study show that a majority of the traffic violations lead to severe injury to the violator as well as to other drivers. The findings from this study serve as documented evidence to educate drivers about the risk they pose to themselves and to other drivers by violating traffic rules and encourage the adaptation of safe driving behavior in order to contribute toward reaching the "zero traffic deaths" vision. They also help make policy changes pertaining to penalty points and fines for violating a traffic rule. [ABSTRACT FROM AUTHOR]

The article focuses on discussion on use of Big Data to strengthen safety data being used, and mentions focus of the area on proactive safety approach, data processing and collecting.