Identifying the Population Sources of Alcohol Impaired Driving: An Assessment of Context Specific Drinking Risks

Alcohol use disorder among Whites and Hispanics on and off the U.S./Mexico border in California

This paper examines whether U.S./Mexico border residence in California is related to the prevalence of DSM-5 alcohol use disorder (AUD) among Whites and Hispanics. Household survey data were obtained from 1,209 adults (59.7% female) 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, with data collected on the phone or online. Results show that AUD rates were not different between border and non-border location and between Whites and Hispanics. AUD was negatively associated with higher income ($20,000 to $60,000: AOR=.38; 95%CI=.17-.86; p<.01-more than $60,000: AOR=.27; 95%CI: .09-.81; p<.01) and poor risk perception (AOR=.86; 95%CI=.78-.94; p<.01). AUD was positively associated with continued volume of drinking (AOR = 1.05; 95%CI = 1.01-1.09; p<.01), drinking in Mexico (AOR = 4.28; 95%CI = 1.61-11.36; p<.01), marijuana use (AOR = 4.11; 95%CI = 1.73-9.77; p<.01), and impulsivity (AOR = 1.55; 95%CI = 1.23-1.94). Efforts to prevent AUD in the population in California, and especially among those who live close to the border with Mexico, should take into consideration factors such as impulsivity, marijuana use, border crossing to drink in Mexico, all of which increased risk of AUD.

Contexts of Drinking- and Alcohol-Related Problems Among Whites and Hispanics on and off the US/Mexico border in California

BACKGROUND

This paper examines the association between drinking context use by Whites and Hispanics on and off the US/Mexico border and alcohol problems.

METHODS

Data come from a household sample of 1209 adults 18 to 39 years of age resident in Imperial County on the California/Mexico border; and Kern, Tulare, and Madera in California's Central Valley. Data were collected on the phone or online and analyzed with an ordinal generalized linear model.

RESULTS

The pattern of statistically significant associations between the frequency and the volume of drinking in different contexts varies across problem types. Furthermore, some contexts of drinking are associated with problems in more than one area. For instance, frequency of drinking at bars/pubs is associated with social problems, risky sex, and fights, but not with injuries. Injuries are associated with the frequency of drinking at home alone or with family and at restaurants. Volume of drinking at bars/pubs is also significantly associated with three different contexts: social problems, injury, and fights. But the volume of drinking at the home of friends or relatives is associated with fights only. Border location is an effect modifier, changing the effect of frequency of drinking at bars and pubs from protective to a factor of risk for social problems and fights.

CONCLUSION

These results provide support for the social ecology of drinking and micro environmental factors or risk. The effect of border location on frequency of drinking in bars/pubs underlines the importance of the macro environment in problem generation.

Self-Report Survey Measures of Alcohol-Impaired Driving: A Systematic Review

OBJECTIVE

Alcohol-impaired driving is a major contributor to motor vehicle crash deaths and injury. Many survey studies include self-report measures of alcohol-impaired driving, but no guidance is available to help researchers select from among available measures. The aims of this systematic review were to compile a list of measures that researchers have used previously, to compare performance between measures, and to identify the measures with highest validity and reliability.

METHOD

Literature searches of PubMed, Scopus, and Web of Science identified studies that assessed alcohol-impaired driving behavior through self-report. The measures from each study and, if available, indices of reliability or validity were extracted. Using the measures' text, we developed 10 codes to group similar measures and compare them. For example, the "alcohol effects" code refers to driving while feeling dizzy or lightheaded after drinking, and the "drink count" code pertains to the number of drinks someone consumed before driving. For measures with multiple items, each item was categorized separately.

RESULTS

After screening according to the eligibility criteria, 41 articles were included in the review. Thirteen articles reported on reliability. No articles reported on validity. The self-report measures with the highest reliability coefficients contained items from multiple codes, namely alcohol effects and drink count.

CONCLUSIONS

Self-report alcohol-impaired driving measures with multiple items evaluating distinct aspects of alcohol-impaired driving show better reliability than measures using a single item. Future work investigating the validity of these measures is needed to determine the best approach for conducting self-report research in this area.

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.

Micro-temporal analyses of crime related to alcohol outlets: A comparison of outcomes over weekday, weekend, daytime and nighttime hours

INTRODUCTION

Causal relationships between alcohol outlets and crime are inferred from their statistical associations across neighbourhoods. However, many unobserved covariates may confound these effects. Recognising that outlet sales vary by time of day and day of week, we assess whether areas with more bars/pubs, restaurants or off-premise outlets have more crime during days and times when alcohol sales are greatest.

METHODS

Annual administrative crime counts, sociodemographic data and other area characteristics of 336 Census block groups in Oakland, California, USA, were related to outlet densities from 2000 to 2015. Bayesian space-time Poisson models were used to measure associations between outlet densities and crime during: (i) weekday daytime; (ii) weekday nighttime; (iii) weekend daytime; and (iv) weekend nighttime periods (four seemingly unrelated equations). Comparisons of parameter estimates across equations provided an assessment of outlet effects on crime across days and times within the same analysis units using the same constellation of confounding covariates.

RESULTS

Assault and driving under the influence crime incidents during weekend evening hours were more frequent in Census block group areas with greater numbers of bar/pubs. Burglaries were consistently greater in areas with greater densities of restaurants.

DISCUSSION AND CONCLUSIONS

The spatiotemporal signature relating densities of bars/pubs over weekend evening hours to assault and driving under the influence incidents suggests that these outlets are a critical source of these crimes across neighbourhoods. Prevention programs and policies that focus upon specific drinking establishments, days and times may be most effective in reducing assault and impaired driving incidents in neighbourhoods.

Alcohol Use Frequencies and Associated Problems Across Drinking Contexts

OBJECTIVE

To better quantify the impact of specific on- and off-premise drinking contexts on population-level alcohol-related problems, we evaluated context-specific risks relative to frequency of use of each context.

METHOD

We surveyed 860 adult (21-100 years) past-year drinkers in the California East Bay, sampled in areas of high versus low median household income and off-premise alcohol outlet densities. We examined associations of context-specific drinking frequencies in seven on- and off-premise drinking locations with individual and area characteristics using negative binomial regression. Next, we used heteroscedastic ordered logistic regression to relate context-specific drinking frequencies and continued volumes to five drinking-related problems (Alcohol Use Disorders Identification Test scores, physiological problems, risky sex, social problems, and driving after drinking too much). To estimate population-level effects, we assessed drinking frequencies relative to mean past-year use of each drinking context.

RESULTS

Higher individual annual income (>$60,000) was associated with more frequent drinking in all on-premise drinking contexts (bars/clubs, restaurants, and stadiums). Heavier overall drinking was associated with drinking more frequently at bars. Drinking more frequently in respondents' own homes and heavier drinking at friends'/relatives' homes were associated with most drinking-related problems. The population-level effects of physiological problems and driving after drinking too much were highest for parties and friends'/relatives' homes, whereas that of risky sex outcomes was highest for bars.

CONCLUSIONS

Assessing context-specific risks related to heavy and/or frequent drinking, in combination with scaling these risks to determine population-level impacts, can help tailor interventions to reduce alcohol-related problems across different on- and off-premise contexts.

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

This paper compares drinking patterns of Whites and Hispanics who after crossing the U.S./Mexico border drink and do not drink in Mexico. Data came from a household survey of 1,209 adults 18 to 39 years of age in California. Residence near the US/Mexico border increases the likelihood of drinking in Mexico (AOR = 4.57; 95%CI = 2.45-8.52; p < .001). Hispanics (AOR = 1.91; 95%CI = 1.26-2.90; p < .01), those who drink more frequently (AOR = 1.05; 95%CI = 1.02-1.09; p < .01) and those who drink six or more drinks in day (AOR = 1.91; 95%CI = 1.26-2.29; p < .01) are more likely than Whites and lighter drinkers to report this behavior. Crossing the U.S./Mexico border to drink is influenced by living close to the border, Hispanic ethnicity, and drinking many drinks in a day.

Rideshare Trips and Alcohol-Involved Motor Vehicle Crashes in Chicago

OBJECTIVE

Rideshare companies such as Uber and Lyft have substantially changed transportation markets in the United States and globally. The aim of this study was to examine whether ridesharing is associated with reductions in alcohol-involved crashes.

METHOD

This case-series study used highly spatially and temporally resolved trip-level rideshare data and motor vehicle crash data from the Chicago Data Portal from November 2018 to December 2019. The units of analysis were motor vehicle crashes in Chicago. Events of interest were 962 crashes that police indicated were alcohol involved. The comparison group was 962 non-alcohol-involved crashes that occurred in the same census tract, matched 1:1. The exposure of interest was the density per square mile of rideshare trips that were in progress at the time of the crash, calculated using a kernel density function around the estimated route paths of active trips. A conditional logistic regression compared alcohol involvement to rideshare trip density while adjusting for matching and relevant time-varying covariates (taxi trips, precipitation, temperature, holidays).

RESULTS

Mean rideshare trip density was 69.0 per square mile (SD = 129.7) at the time and location of alcohol-involved crashes and 105.7 per square mile (SD = 192.6) at the time and location of non-alcohol-involved crashes. After controlling for covariates, the conditional logistic regression model identified that a standard deviation increase in rideshare trips per square mile at the crash location was associated with 23% decreased odds that the crash location was alcohol involved (odds ratio = 0.771; 95% confidence interval [0.594, 0.878]).

CONCLUSIONS

Ridesharing may replace motor vehicle trips by alcohol-impaired drivers.

The effect of the Safer at Home order on the frequency of DUI breath alcohol tests in Los Angeles County

With Los Angeles County having a population size of just over 10 million and an additional 471,000 people who commute into Los Angeles County for employment, many drivers are at risk of being injured or killed in an alcohol-impaired driving collision. On March 19, 2020, the County of Los Angeles issued the Safer at Home order as a result of the COVID-19 pandemic. This curtailed driving and decreased the number of breath alcohol tests that were conducted in Los Angeles County. The number of breath tests conducted in January-February of 2019 and 2020 and March-April of 2019 and 2020 were evaluated using Fisher's exact test and analysis of variance. There was a statistically significant decrease in the overall number of breath tests conducted in Los Angeles County in March-April of 2020. There was also a significant decrease in the number of collisions where DUI was a factor. Accounting for changes in traffic volumes, the number of breath tests per vehicle miles driven also decreased significantly. Since the Safer at Home order closed all non-essential services such as bars and restaurants, there is indirect data on the relative contribution of liquor-serving establishments, and to some extent large social gatherings, to the incidence of drunk driving. Taking into account traffic volume, it was determined that the odds of encountering an intoxicated driver decreased by approximately 23% during the Safer at Home period. This information could help policy-makers determine the likely effectiveness of various countermeasures to prevent drunk driving.

Impacts of confounding roadway characteristics on estimates of associations between alcohol outlet densities and alcohol-related motor vehicle crashes

INTRODUCTION AND AIMS

Previous research on alcohol-related motor vehicle crashes (AMVC) share a substantial limitation: sources of geographic variations in background crash risks may confound estimated spatial relationships between alcohol outlets and AMVCs. The aim of this study was to address this concern by examining, spatial-temporally, relationships between alcohol outlets and AMVCs adjusting for a set of six roadway characteristics that may be, independently, related to crash risks. While most similar studies focus on one metropolitan area, we use a unique sample of 50 cities.

DESIGN AND METHODS

The spatial sample for this study consisted of 8726 Census 2000 block groups representing 50 mid-sized California cities. Dependent measures were counts of crashes located within Census block groups. Independent measures included socio-demographics, social disadvantage, alcohol outlets and roadway characteristics. We assessed relationships of crashes to independent measures using hierarchical generalised linear models.

RESULTS

Greater roadway length, greater percentage of highways, greater average speeds, fewer T-intersections, greater curviness and less fragmentation were related to greater numbers of crashes as was alcohol outlet density.

DISCUSSION

Above and beyond alcohol outlet type and density, we found that roadway characteristics were related to AMVC risks across a sample of 50 mid-sized cities. Measures of roadway characteristics are an essential component of any model of motor vehicle crashes that attempts to assess impacts of alcohol outlets on motor vehicle crashes risks.

Binge Drinking and Drunk Driving Among Current Drinkers in Thailand: Analysis of Cigarette Smoking and Alcohol Drinking Behavior Surveys From 2007 to 2017

This study aimed to evaluate the association between binge drinking and drunk driving among the Thai population. Data in 2007, 2011, and 2017 of the Thai National surveys on Tobacco and Alcohol Consumption were analyzed. The household surveys collected information from the population, aged >15 years, using a face-to-face interview. There were 89 002 current drinkers from the 3 waves of surveys. About 40% reported drunk driving in the past 12 months. Binge drinking accounted for 17.3%, 17.8%, and 42.8% of the current drinkers in 2007, 2011, and 2017, respectively. The prevalence of drunk driving also increased from 36.6% to 57.7% over the 10-year period. Both occasional binge drinkers and regular binge drinkers showed about twice the risk of drunk driving (range of odds ratios [ORs] from 1.81; 95% confidence interval [95% CI] = 1.71-1.92 to OR 2.96; 95% CI = 2.64-3.31), compared with non-binge drinkers, and these OR increased by drinking frequency.

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.

Space and Place in Alcohol Research

PURPOSE OF REVIEW

To summarize the recent literature on social and physical environments and their links to alcohol use and identify empirical research strategies that will lead to a better understanding of alcohol use in contexts.

RECENT FINDINGS

Recent research has continued to describe the importance of neighborhood and regional contexts on alcohol use, while a smaller emerging scientific literature assesses the impacts of contexts on drinking.

SUMMARY

The dynamic, longitudinal, and multiscale processes by which social and physical structures affect social interactions and substance use have not yet been uncovered or quantified. In order to understand and quantify these processes, assessments of exposures (e.g., how individuals use space) and risks within specific locations are essential. Methods to better assess these exposures and risks include model-based survey approaches, ecological momentary assessment (EMA) and other forms of ecologically- and temporally-specific analyses, affiliation network analyses, simulation models, and qualitative/multi-methods studies.