Drinking and driving among adults in the United States: Results from the 2012-2013 national epidemiologic survey on alcohol and related conditions-III

Trends and disparities in alcohol-DWI license suspensions by suspension duration, North Carolina, 2007-2016

PURPOSE

To examine trends and potential disparities in North Carolina (NC) driving while impaired by alcohol (alcohol-DWI) license suspensions from 2007-2016. Specific objectives included: 1) examining personal (e.g., race/ethnicity) and contextual (e.g., residential segregation) characteristics of alcohol-DWI license suspensions by suspension duration; and 2) examining trends in annual suspension rates by race/ethnicity, sex, and duration.

METHODS

We linked NC administrative licensing and county-level survey data from several sources from 2007-2016. Suspensions were categorized by duration: 1 to <4 years and 4 years or longer (proxies for initial and repeat suspensions, respectively). We calculated counts, percentages, and suspensions rates (per 1,000 person-years) with 95% confidence intervals, examined trends in annual suspension rates by race/ethnicity, sex, and suspension duration.

RESULTS

We identified 220,471 initial and 41,526 repeat license suspensions. Rates among males were three times that of females. 21-24-year-old (rates: 6.9 per 1,000 person-years for initial; 1.5 for repeat) and Black (4.1 for initial; 1.0 for repeat) individuals had the highest suspension rates. We observed decreases in annual initial and repeat suspension rates among males, but only in repeat suspensions for females during the study period. A substantial decrease in annual initial suspension rates was observed among Hispanic individuals relative to other racial/ethnic groups, while annual repeat suspension rates exhibited large decreases for most racial/ethnic groups. The highest overall suspension rates occurred in counties with higher proportions of the population without health insurance and with the highest levels of Black/White residential segregation.

CONCLUSIONS

Potential disparities by race/ethnicity and sex existed by alcohol-DWI license suspension duration (i.e., initial vs. repeat suspensions) in NC. Contextual characteristics associated with suspensions, including a high degree of residential segregation, may provide indications of underlying structures and mechanisms driving potential disparities in alcohol-DWI outcomes.

Prevalence and factors associated with driving under the influence of alcohol in Brazil

OBJECTIVES

To estimate the prevalence and factors associated with Driving Under the Influence of Alcohol (DUIA) among car drivers and motorcyclists in Brazil and to evaluate the association between DUIA and self-reported Road Traffic Injuries (RTIs) in these groups.

METHODS

A cross-sectional study was conducted using data from adults aged 18 or older who participated in the 2019 National Health Survey. Probability sampling was used to recruit participants, and data collection was carried out through home visits. Data from 31,246 car drivers and 21,896 motorcyclists were analyzed. Key indicators included the proportion (%) of car drivers who consumed alcohol and then drove in the past 12 months and the proportion (%) of motorcyclists who consumed alcohol and then drove in the past 12 months. Multiple Poisson regression was used to determine factors associated with DUIA and the association of this variable with RTIs in both groups.

RESULTS

DUIA prevalence was 9.4% (95% Confidence Interval [95% CI] = 8.8-10.0) among car drivers and 11.2% (95% CI = 10.4-12.1) among motorcyclists. Among car drivers, DUIA prevalence was higher in men, young adults, those without a spouse/partner, and lower in individuals with lower income and education level. Among motorcyclists, DUIA prevalence was higher in men, young adults, those living outside the capitals and metropolitan regions, and lower in individuals with lower income. DUIA increased the prevalence of self-reported RTIs in the previous 12 months among car drivers and motorcyclists.

CONCLUSIONS

A high prevalence of DUIA was evident among drivers, particularly motorcyclists. The DUIA was more prevalent among men and young adults. The DUIA was associated with an increased magnitude of self-reported RTIs among car drivers and motorcyclists. Despite the extensive legislation for zero tolerance toward DUIA in the country, actions need stricter enforcement.

Drinking and driving among Whites and Hispanics on and off the US/Mexico border in California

OBJECTIVE

To examine self-reported rates of driving under the influence (DUI) with and without arrest among border and non-border residents in California.

METHODS

Data were obtained from 1,209 adults 18 to 39 years of age resident in four counties in California: Imperial on the U.S./Mexico border; and Kern, Tulare, and Madera in California's Central Valley. Households were selected using a list assisted sample. Data were collected on the phone or online and analyzed with a heteroskedastic ordinal generalized linear model.

RESULTS

Driving after drinking (11.1% vs. 6.5%; q = 0.04) and the lifetime DUI arrest rates were higher for men than women (10.7% vs. 4%; q = 0.001). In multivariable analysis driving after drinking and DUI arrests were not higher on the border, not higher among Hispanics than Whites, and among Hispanics, the rates were not higher among those located on the border. Income was positively associated with drinking and driving. Impulsivity was positively and significantly associated with both drinking and driving and lifetime DUI arrest.

CONCLUSION

The null results suggest that DUI related risk behaviors may not be higher on the border than in other areas of California. There may be health related risk behaviors of higher prevalence in the border population than in other areas, but DUI related behavior may not be one of them.

The habit of drinking and driving in Brazil: National Survey of Health 2013 and 2019

OBJECTIVE

To assess factors associated with the habit of drinking and driving and estimating the variations in the prevalence of this behavior in 2013 and 2019, considering information from the two editions of the Pesquisa Nacional de Saúde (PNS - National Survey of Health).

METHODS

PNS is a nationwide cross-sectional home-based study. In 2013 and 2019, 60,202 and 85,854 individuals were interviewed, respectively. To assess the association between the indicator "drinking and driving" and the study variables, crude and adjusted odds ratios (ORs) were estimated using logistic regression models. To compare the prevalence between the studied years, a Pearson's chi-squared test adjusted by the Rao-Scott correction (which considers the effect of the sampling plan) and converted into an F statistic, tested at a 5% significance level, was used.

RESULTS

The prevalence of drinking and driving was higher among men in 2013 (27.4%; 95%CI 25.6-29.3%) and 2019 (20.5%; 95%CI 19.4-21.7%) than among women (11.9%; 95%CI 9.9-14.2% and 7.2%; 95%CI 6.7-9.0%, respectively). Inidviduals aged 30 to 39, who lived without a partner, in rural areas, and were motorcycle drivers had significantly higher estimates. Men with higher income had higher prevalence of drinking and driving. From 2013 to 2019, the act of drinking and driving significantly decreased. Regarding traffic accidents, ORs were significant (p < 0.01) in the studied years for both men and women.

DISCUSSION

Results show the need to continue policies to monitor blood alcohol level and traffic education, with specific actions directed to rural areas and motorcycle drivers.

The use of immersive stories to influence college students' attitudes and intentions related to drinking and driving

ObjectiveCollege students are at risk of drinking and driving. The current study examines the use of immersive stories to prevent college students from drinking and driving.Participants107 college students participated in the study.MethodsParticipants were randomly assigned to watch an immersive 360° video, which featured a story of a young female driver who caused a fatal car crash due to impaired driving, either in head-mounted displays (HMDs) or in tablets.ResultsThe story viewed through HMDs (vs. tablets) led to lower intentions to drink and drive only among female participants. Moreover, female participants' perceived similarity to the protagonist mediated the effect of modality on their intentions to drink and drive.Conclusions360° video stories experienced through high immersion (via HMDs) have the potential to prevent risky behavior. It is important to consider the protagonist's gender when adopting immersive stories in alcohol education programs on college campuses.

Modeling the temporal relationship between contributing factors and injury severities in rural single-vehicle alcohol-impaired driving crashes: Insights from random parameters logit models in the means and variances

OBJECTIVES

Alcohol-impaired driving (A-ID) crashes have been acknowledged as fatality-concentrated while there is a limited understanding of how contributors relating to A-ID influence crash severity and lead to more severe injuries in rural areas. The current paper utilized North Carolina crash data to investigate the unobserved heterogeneity and temporal stability of the rural single-vehicle A-ID crash injury-severity determinants over a five-year period from 2014-2018.

METHODS

Crash injury severities were estimated using a group of random parameters logit models in the means and variances with three categories of injury-severity determined as outcome variables including no injury, minor injury, and severe injury. Explanatory variables were selected across multiple factors that could be classified as roadway characteristics, environmental characteristics, crash characteristics, temporal characteristics, vehicle characteristics and driver characteristics. The temporal stability of the models was examined through a series of likelihood ratio tests. Marginal effects were also adopted to analyze the temporal stability of the explanatory variables.

RESULTS

The result uncovers an overall temporal instability. Some contributors present relatively temporal stability such as female, turning, passenger car, motorcycle, vehicle age (5-9 years old), speed limit (<45 mph), curved segment, dry road surface, animal collision and overturned collision. Curved segment and dry road surface are found to consistently increase the possibility of severe injuries in rural alcohol-involved crashes.

CONCLUSIONS

This paper can provide insights into preventing single-vehicle A-ID crashes and could potentially facilitate the development of single-vehicle A-ID crash injury mitigation policies in rural areas. More studies could be conducted adopting the advanced data-driven methods for A-ID crash prediction.

Epidemiology of DSM-5 alcohol use disorder in U.S. military veterans: Results from the National Health and Resilience in Veterans Study

BACKGROUND

Alcohol use disorder (AUD) is a prevalent public health concern in the U.S. that disproportionately affects veterans relative to civilians. Given changes to the demographic composition of the veteran population and AUD diagnostic criteria in the DSM-5, updated knowledge regarding the epidemiology of DSM-5 AUD in a national sample of veterans is critical to informing the population-based burden of this disorder.

METHODS

Data were analyzed from the National Health and Resilience in Veterans Study, which surveyed a nationally representative sample of 4069 U.S. veterans. Lifetime DSM-5 AUD (mild, moderate, severe) and past-year DSM-5 AUD were assessed using validated self-report measures, and sociodemographic, military, and psychiatric characteristics associated with lifetime and past-year AUD were evaluated.

RESULTS

Prevalences of lifetime and past-year DSM-5 AUD were 40.8% (95% confidence interval [CI]=39.2-42.3%) and 10.5% (95%CI=9.6-11.5%), respectively. Lifetime prevalences of mild, moderate, and severe AUD were 20.5%, 8.3%, and 12.0%, respectively. Veterans with lifetime AUD had elevated rates of psychiatric disorders and suicidal behavior, which generally increased as a function of AUD severity. Lifetime AUD was also associated with being younger, male, white, unmarried, retired and experiencing more adverse childhood experiences and traumas. For past-year AUD, being younger, male, white, having more adverse childhood experiences, and experiencing lifetime PTSD were significant correlates.

CONCLUSIONS

AUD is highly prevalent among U.S. veterans and associated with substantial psychopathology, including elevated odds of suicidal behaviors. Results underscore the importance of comprehensive screening and preventive efforts for AUD, and interventions that concurrently target overlapping alcohol use and psychiatric difficulties.

Proximity to the Southern Border and Sociodemographic Correlates of Drinking and Driving Arrests in California

BACKGROUND

About 30% of all motor vehicle fatalities in the United States are associated with alcohol-impaired motor vehicle crashes. Arrests for drinking and driving (Driving under the influence [DUI]) are 1 of the most important deterrence actions to minimize DUI. This paper examines trends and population-level correlates of drinking driving arrests (DUI) from 2005 to 2017 in California.

METHODS

Arrest data come from the Monthly Arrest and Citation Register compiled by the California Department of Justice. Sociodemographic and community characteristic data from the U.S. Census, alcohol outlet density, and distance to the U.S.-Mexico border from Law Enforcement Reporting Areas (LERA) centroids were aggregated at the level of 499 LERA contributing to the report. Reported arrest rates were related to area sociodemographic characteristics using hierarchical Bayesian Poisson space-time models.

RESULTS

Both among men and women rates showed an upward trend until 2008, decreasing after that year. DUI arrest rates were greater among Hispanics than Whites for the 2 younger age groups, 18 to 29 (p < 0.001) and 30 to 39 years (p < 0.001). DUI arrest rates in LERA areas are positively related to proximity to the California/Mexico border; a higher percent of bar/pub outlets; a higher percent of Hispanic population; a higher percent of population 18 to 29, 30 to 39, and 40 to 49 years of age; a higher percent of US-born population; a higher percent of population with annual income of $100,000 or more; a higher percent of population 150% below the federal poverty line; and a higher level of law-enforcement activities.

CONCLUSIONS

Results of this analysis of spatial correlates of DUI arrests overlap well with the literature on individual-level data and arrest rates. The decrease in arrest rates as distance to the California/Mexico border increases is potentially associated with the greater availability of alcohol in the border area.

Driving impairments and duration of distractions: Assessing crash risk by harnessing microscopic naturalistic driving data

Distracted and impaired driving is a key contributing factor in crashes, leading to about 35% of all transportation-related deaths in recent years. Along these lines, cognitive issues like inattentiveness can further increase the chances of crash involvement. Despite its prevalence and importance, little is known about how the duration of these distractions is associated with critical events, such as crashes or near-crashes. With new sensors and increasing computational resources, it is possible to monitor drivers, vehicle performance, and roadway features to extract useful information, e.g., eyes off the road, indicating distraction and inattention. Using high-resolution microscopic SHRP2 naturalistic driving data, this study conducts in-depth analysis of both impairments and distractions. The data has more than 2 million seconds of observations in 7394 baselines (no event), 1228 near-crashes, and 617 crashes. The event data was processed and linked with driver behavior and roadway factors. The intervals of distracted driving during the period of observation (15 seconds) were extracted; next, rigorous fixed and random parameter logistic regression models of crash/near-crash risk were estimated. The results reveal that alcohol and drug impairment is associated with a substantial increase in crash/near-crash event involvement of 34%, and the highest correlations with crash risk include duration of distraction through dialing on a cellphone, texting while driving, and reaching for an object. Using detailed pre-crash data from instrumented vehicles, the study contributes by quantifying crash risk vis-à-vis detailed driving impairment and information on secondary task involvement, and discusses the implications of the results.

Racial and ethnic differences in patients involved in alcohol-impaired motor vehicle crashes and its related clinical outcomes among various age groups in the U.S

Objective(s): 1) to determine whether the proportion of alcohol-impaired patients involved in motor vehicle crashes (MVCs) varies by race/ethnicity within different age groups; 2) to explore the relationship between alcohol impairment, race/ethnicity and clinical outcomes among patients involved in MVCs across age groups.Methods: The 2012 National Trauma Data Bank (NTDB) queried for patients aged 16-55 involved in MVCs who received a blood ethanol test on admission.Results: Of the 44,216 patients involved in MVC, 68% were White, 14% Black, and 13% were Hispanic. About 36% were 16-25 years old, and 19% were 46-55 years old. Alcohol-impaired patients constituted 34% of the patients. The multiple logistic regression analysis of HLOS ≥ 2 days revealed that, when controlling for age, gender, race/ethnicity, insurance status, and the interaction between alcohol impairment and age as well as alcohol impairment and race/ethnicity, alcohol impairment positivity carried a 15% increase in probability of HLOS ≥ 2 days (OR 1.15, p < 0.0001). Additionally, using the 16-25 age group as reference, each of the older age groupings showed an increased probability of HLOS ≥ 2 days with ORs of 1.15, 1.32, and 1.51 for ages 26-35, 36-45, and 46-55, respectively (p-values < 0.0001). Blacks, Hispanics, and Asians/others were less likely than Whites to have HLOS ≥ 2 days with OR of 0.88, 0.89, and 0.88, respectively (p < 0.05). There was no statistically significant difference in the clinical outcome of mortality between races/ethnicities and alcohol-impaired driving.Conclusions: This study demonstrates that the proportions of alcohol-impaired driving and the associated clinical outcomes vary among race/ethnic groups in different age groups. More research is needed to determine the reasons for the observed differences in these vulnerable sub-groups.

Prevalence and Factors Associated with Driving Under the Influence of Alcohol in Brazil: An Analysis by Macroregion

Objective: To analyze the prevalence and factors associated with driving under the influence of alcohol (DUIA) in Brazil, according to macroregion. Methods: A cross-sectional study was conducted using data from individuals aged 18 years or older who participated in the 2013 National Health Survey in Brazil. Subjects were selected by probabilistic sampling and interviewed through home visits. Prevalence of DUIA was estimated according to the number of drivers and/or motorcyclists who reported consuming alcohol in the previous 30 days (n = 9537). Poisson regression was used to analyze the factors associated with DUIA to Brazil and in each macroregion of the country. Results: The prevalence of DUIA was 27.5%, 29.4%, 29.6%, 22.9%, and 20.8% in the North, Northeast, Central-West, South, and Southeast macroregions, respectively. The overall prevalence of Brazil was 24.3%. In most macroregions, the main predictors of DUIA were male sex, high educational level, living in outside the capital or metropolitan regions (other regions), and binge drinking in the previous 30 days. Depression was a predictor in Brazil and two macroregions. Conclusion: A high prevalence of DUIA was observed in Brazil, especially in the Central-West, Northeast and, North macro-regions. Factors associated with DUIA can be incorporated to develop effective interventions to reduce this behavior in Brazil.

Mining news media for understanding public health concerns

INTRODUCTION

News media play an important role in raising public awareness, framing public opinions, affecting policy formulation, and acknowledgment of public health issues. Traditional qualitative content analysis for news sentiments and focuses are time-consuming and may not efficiently convey sentiments nor the focuses of news media.

METHODS

We used descriptive statistics and state-of-art text mining to conduct sentiment analysis and topic modeling, to efficiently analyze over 3 million Reuters news articles during 2007-2017 for identifying their coverage, sentiments, and focuses for public health issues. Based on the top keywords from public health scientific journals, we identified 10 major public health issues (i.e., "air pollution," "alcohol drinking," "asthma," "depression," "diet," "exercise," "obesity," "pregnancy," "sexual behavior," and "smoking").

RESULTS

The news coverage for seven public health issues, "Smoking," "Exercise," "Alcohol drinking," "Diet," "Obesity," "Depression," and "Asthma" decreased over time. The news coverage for "Sexual behavior," "Pregnancy," and "Air pollution" fluctuated during 2007-2017. The sentiments of the news articles for three of the public health issues, "exercise," "alcohol drinking," and "diet" were predominately positive and associated such as "energy." Sentiments for the remaining seven public health issues were mainly negative, linked to negative terms, e.g., diseases. The results of topic modeling reflected the media's focus on public health issues.

CONCLUSIONS

Text mining methods may address the limitations of traditional qualitative approaches. Using big data to understand public health needs is a novel approach that could help clinical and translational science awards programs focus on community-engaged research efforts to address community priorities.