Driving under the influence of Alcohol: Findings from the NSDUH, 2002-2017

Are you feeling what I'm feeling? Momentary interactions between personal and perceived peer subjective response predict craving and continued drinking in young adults

BACKGROUND

Subjective response to alcohol is a robust predictor of alcohol outcomes. It is possible that the perceived subjective response of others may influence concurrent experiences of one's own subjective response. However, no studies have examined how the perceived subjective response of others might interact with personal subjective response and how such interactions may influence levels of craving and subsequent drinking.

METHOD

Emerging adults (ages 18-25, N = 131, 53.4 % female) completed 21 days of ecological momentary assessments. During drinking events (N = 1335) both personal and perceived peer subjective response (four domains encompassing high- and low-arousal positive & negative effects) were assessed at drink initiation and two subsequent surveys 60 and 120min later. Current craving and drinking quantity since last report were also collected. Three-level multilevel structural equation models with Bayesian estimation tested indirect relations between subjective response and drinking continuation via craving and whether perceived subjective response moderated such relations.

RESULTS

Levels of both personal (b=0.029,95 %BCI:[0.012,0.053]) and perceived (b=0.027,95 %BCI:[0.012,0.051]) experiences of alcohol's rewarding, stimulating effects indirectly predicted drinking continuation via increased craving, and relations were potentiated when perceptions of peer reward were highest (b=0.015,95 %BCI:[0.008,0.020]). Personal experiences of alcohol's relaxing, calming effects indirectly predicted a lower likelihood of drinking continuation via decreased craving (b=-0.017,95 %BCI:[-0.036,-0.003]) whereas perceived effects directly predicted lower likelihoods of drinking (b=-0.133,95 %CI:[-0.239, -0.031]).

CONCLUSION

Results suggest both personal and perceived peer subjective response independently influence drinking behavior even when controlling for one another. Targeted interventions focused on altering interpretations of peer subjective effects may be effective at reducing momentary risk.

Penalizing underage alcohol use is associated with lower mortality for young drivers: Use/lose laws and their association with motor vehicle collision mortality

BACKGROUND

Motor vehicle collisions (MVC) continue to be a leading cause of mortality for youth in the United States. Since 2010, seven states have revoked mandatory laws that suspended licenses for underage alcohol use, also known as use/lose laws. This study analyzed whether each state's policy change was associated with increased youth MVC mortality.

METHODS

State mortality data for youth ages 15 years to 20 years in MVCs involving a young driver (i.e., ages 15-20 years) were obtained from the Fatality Analysis Reporting System. Population data was retrieved from the Centers for Disease Control and Prevention's Wide-ranging ONline Data for Epidemiologic Research. Motor vehicle collisions mortality rates were calculated for each state with a law change per 1,000,000 persons. For difference-in-difference analysis, each state's youth MVC mortality rates from 3 years prior to the law change were compared with rates from 3 years post-law changes, relative to a national average compiled of states with no law changes.

RESULTS

From 2010 to 2020, seven states revoked one or more of their mandatory use/lose laws. For all states, young driver MVC mortality rates significantly increased after removal of use/lose legislation (South Dakota: 5.4 excess deaths per million (EDPM), Indiana: 5.6 EDPM, Georgia 28.0 EDPM, Oregon: +41.9 EDPM, Pennsylvania: +10.4 EDPM, Delaware: +45.4 EDPM, Illinois +29.2 EDPM, all p < 0.001).

CONCLUSION

Examining mortality rates at the state reveals a significant negative association between penalizing underage alcohol use and young driver MVC deaths. Future legislation and health outcomes analysis should consider state-level differences to retain and develop effective policies that reduce injury-related mortality.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

Driving a car under the influence of alcohol in Germany: Results from a trip-based self-report measurement

INTRODUCTION

Driving under the influence of alcohol comprises a serious road safety issue. A comprehensive investigation is challenging and a high number of unreported cases of driving under the influence of alcohol is suspected. Existing methods, including roadside surveys or period-based self-reports, are either difficult to implement or may lack informative value.

METHOD

This paper describes a newly developed questionnaire-based survey conducted in a nationwide online survey in Germany that measures the prevalence of driving under the influence of alcohol via self-reports concerning randomly selected trips from 7 days prior. The trip-based data collection includes details about the reported car ride. Expected low case numbers are addressed by additionally recording the last trip driven under the influence of alcohol from the previous week.

RESULTS

Within the previous 7 days, 6.3% of the surveyed drivers had driven under the influence of alcohol. Further analyses aligned with familiar patterns from prior research: Age, sex, daytime, and days of the week significantly predict driving under the influence of alcohol. However, attitudes toward stricter rules are also identified as a factor.

CONCLUSIONS

The proposed survey design enables the current findings to surpass results of previous surveys and yields data comparable to roadside survey results. The questionnaire proved feasible in conducting the survey and gathered valid findings that correspond to international research and traffic crash data. For Germany, in particular, and in alignment with familiar patterns related to times and days, the findings point to the likelihood that particularly males and younger drivers will drive under the influence of alcohol.

PRACTICAL APPLICATIONS

The proposed survey concept adds a new variant to the set of instruments for recording driving under the influence of alcohol by determining a trip-based prevalence, thus offering new insights into driving under the influence in alcohol of Germany.

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.

Choosing to drive from alcohol serving establishments (ASEs)

OBJECTIVE

The prevalence of Driving Under the Influence (DUI) of alcohol or drugs has become a prominent factor in the occurrence of severe road crashes worldwide. Driving often occurs after visiting, and presumably drinking, at Alcohol-Serving Establishments (ASEs), and is thus of interest as a possible source of DUI events.

METHODS

We apply statistical and machine learning models to the Victorian Integrated Survey of Travel and Activity (VISTA) to identify factors that contribute to driving in trips from ASEs in Australia's state of Victoria.

RESULTS

Our results highlight that approximately 10% of individuals who traveled to ASEs as car passengers switched to driving after leaving there. It was also observed that travel distance shorter than 1 km and activity duration between 3 and 4 h positively impacts the mode switching from car driver to other modes in ASEs trips. Further findings illustrate a decline in driving after midnight, with an increase in the use of public transport and taxis. Individuals prefer driving for long-distance ASEs trips and walking for short distances. Going home also increased the likelihood of driving, whereas engaging in other social activities did not. Longer stays at ASEs and leaving vehicles overnight reduce the propensity to drive, likely due to increased alcohol consumption during these times.

CONCLUSIONS

These findings suggest behavioral adjustments that can mitigate driving under the influence. Specifically, people may walk for short-distance trips and use public transport or taxis for longer ASEs trips.

Longitudinal associations between adult-supervised drinking during adolescence and alcohol misuse from ages 25-31 years: A comparison of Australia and the United States

Prior studies suggest that adult supervised drinking in adolescence predicts greater adolescent alcohol misuse. Long-term follow up data examining how adult supervised drinking during adolescence relates to alcohol misuse in adulthood are lacking. Longitudinal data from the International Youth Development Study tested associations between adult supervised drinking during adolescence (ages 13-16; 2002-2004) and adult alcohol misuse (ages 25-31; 2014, 2018, 2020). Cross-nationally matched samples were compared in Washington State, USA (n = 961) and Victoria, Australia (n = 1,957; total N = 2,918, 55 % female, 83 % White), where adult-supervised adolescent alcohol use was more common. Multilevel analyses adjusted for state, sex, adolescent drinking, parent education, family management, family history of substance use problems, and parent alcohol-related norms. Adult supervised drinking in adolescence (at dinner or parties, on holidays) predicted more adult alcohol misuse (mean Alcohol Use Disorders Identification Test score; b[SE] 0.07[0.03]; p = 0.004) and higher rates of alcohol-impaired driving (Odds Ratio [OR] 1.501, p = 0.034) and riding with an alcohol-impaired driver (OR 1.669, p = 0.005), but not the use of strategies to moderate alcohol intake (e.g., counting drinks). Better family management (monitoring, clear rules) in adolescence predicted less adult alcohol misuse. Associations were similar in the two states. Reducing the frequency of adult supervised drinking and improving family management practices in adolescence may help to decrease alcohol misuse well into adulthood. Findings support the widespread implementation of substance use prevention and family management training programs.

Overdosing in a Motor Vehicle: Examination of Human, Geographic, and Environmental Factors

BACKGROUND

Fentanyl, a type of opioid, in impaired driving cases increased across cities in the United States.

OBJECTIVES

No empirical studies have examined motor vehicle overdoses with fentanyl use. We investigated the magnitude of the motor vehicle overdose problem in Providence, RI, and the environmental, socioeconomic, and geographic conditions associated with motor vehicle overdose occurrence.

METHODS

This was a retrospective observational study of emergency medical services data on all suspected opioid overdoses between January 1, 2017, and October 31, 2020. The data contain forced-choice fields, such as age and biological sex, and an open-ended narrative in which the paramedic documented clinical and situational information. The overdoses were geocoded, allowing for the extraction of sociodemographic data from the U.S. Census Bureau's American Community Survey. Seven other data sources were included in a logistic regression to understand key risk factors and spatial patterns of motor vehicle overdoses.

RESULTS

Of the 1,357 opioid overdose cases in this analysis, 15.2% were defined as motor vehicle overdoses. In adjusted models, we found a 61% increase in the odds of a motor vehicle overdose involvement for men versus women, a 16.8% decrease in the odds of a motor vehicle overdose for a one-unit increase in distance to the nearest gas station, and a 10.7% decrease in the odds of a motor vehicle overdose for a one-unit increase in distance to a buprenorphine clinic.

CONCLUSION

There is a need to understand the interaction between drug use in vehicles to design interventions for decreasing driving after illicit drug use.

Driving Under the Influence of Alcohol, Cannabis, and Delta-8 THC: Perceived Likelihood, Risk Perceptions, and Behaviors

Driving under the influence (DUI) of alcohol or cannabis poses public health risks. Little is known about DUI of Delta-8 THC, a newer cannabis product. Using 2022 survey data among 189 U.S. adults ages 18-25 (58.73% male, 59.26% non-Hispanic White), multivariable logistic regression examined substance-specific (alcohol, cannabis, Delta-8) DUI perceived likelihood and risk in relation to past-year DUI among those with past-year use of each. Overall, 72.49% reported past-year alcohol use, 50.53% cannabis, and 22.46% Delta-8. Among those reporting past-year use of each respective substance, 33.58% reported DUI of alcohol, 32.63% cannabis, and 57.14% Delta-8. On average, participants had the same DUI perceived likelihood ("somewhat unlikely") across substances and perceived alcohol DUI as riskiest. Higher alcohol DUI perceived likelihood and lower perceived risk were associated with alcohol-related DUI. Greater cannabis-related perceived likelihood (but not risk) was associated with cannabis-related DUI. Neither Delta-8 DUI perceived likelihood nor risk were associated with Delta-8 DUI. In sum, perceived DUI likelihood for alcohol, cannabis, or Delta-8 tended to be similar. Among those with past-year use of each, the proportion of DUI was highest for Delta-8. Interventions should target DUI-related perceived likelihood and promote protective behavioral strategies that reduce substance-specific DUI risk.

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.

Impact of alcohol driving-while-impaired license suspension duration on future alcohol-related license events and motor vehicle crash involvement in North Carolina, 2007 to 2016

BACKGROUND/PURPOSE

License suspensions are a strategy to address alcohol-impaired driving behavior and recidivism following an alcohol driving while impaired (alcohol-DWI) conviction. Little is known about the specific impacts of conviction-related suspensions on safety outcomes and given recent fluctuations in alcohol-impaired driving behavior, crashes, and suspension trends, updated and focused assessments of this intervention are necessary. This study aimed to 1) examine the association between type of recent alcohol-DWI suspension and having a secondary alcohol-related license outcome and/or future crash event in North Carolina (NC) between 2007 and 2016; and 2) assess potential modification of these associations by race/ethnicity.

METHODS

We used linked NC licensing data, NC crash data, and county-level contextual data from a variety of data sources. We compared individuals ages 21 to 64 who sustained initial (1-year) versus repeat (4-year) suspensions for alcohol-related license and crash involvement outcomes. We estimated unadjusted and adjusted hazard ratios (aHRs) using Cox proportional hazards models and produced Kaplan-Meier (KM) survival curves using a three-year follow-up period. After observing statistically significant modification by race/ethnicity, we calculated stratified aHRs for each outcome (Black and White subgroups only, as other subgroups had low numbers of outcomes).

RESULTS

122,002 individuals sustained at least one alcohol-DWI conviction suspension (117,244 initial, 4,758 repeat). Adjusted KM survival curves indicated that within three years of the index suspension, the predicted risks of having a license outcome and crash outcome were about 8 % and 15 %, respectively, among individuals with an initial suspension and 5 % and 10 %, respectively, among individuals with a repeat suspension. After adjusting for potential confounding, we found that compared to those with an initial suspension, those with repeat suspensions had a lower incidence of future license (aHR: 0.49; 95 % CI: 0.42, 0.57) and crash outcomes (aHR: 0.67; 95 % CI: 0.60, 0.75). Among Black individuals, license outcome incidence was 162 % lower among repeat versus initial index suspension groups (aHR: 0.38; 95 % CI: 0.26, 0.55), while for White individuals, the incidence was 87 % lower (aHR: 0.54; 95 % CI: 0.45, 0.64). Similarly, crash incidence for repeat versus initial suspensions among Black individuals was 56 % lower (aHR: 0.64; 95 % CI: 0.50, 0.83), while only 39 % lower among White individuals (aHR: 0.72; 95 % CI: 0.63, 0.81).

CONCLUSIONS

Decreased incidence of both license and crash outcomes were observed among repeat versus initial index suspensions. The magnitude of these differences varied by race/ethnicity, with larger decreases in incidence among Black compared to White individuals. Future research should examine the underlying mechanisms leading to alcohol-impaired driving behavior, convictions, recidivism, and crashes from a holistic social-ecological perspective so that interventions are designed to both improve road safety and maximize other critical public health outcomes, such as access to essential needs and services (e.g., healthcare and employment).

Impaired driving and other risky drug use and sex behaviors: a cross-sectional examination of high-risk rural women incarcerated in jail

Background: Despite women accounting for an increasing proportion of impaired drivers and higher rates of impaired driving and road fatalities in rural areas, little is known about rural women who drive impaired and their other risky behavior.Objective: The present study assessed the association between impaired driving history, risky substance use, and other drug- and sex-related risk behaviors in a sample of high-risk rural women incarcerated in jail.Methods: Four hundred women from three rural jails provided information about their impaired driving, drug use, injection drug use practices, and sex risk behaviors. Groups were stratified on whether they self-reported impaired driving in the year prior to incarceration. Impaired drivers (n = 260, M = 31.90 years old) were compared to women who did not drive impaired (n = 131, M = 34.42 years old) using MANCOVA and logistic regression analyses.Results: Impaired drivers had significantly (p < .05) higher substance use severity scores for cannabis, sedatives, and prescription opioids. Furthermore, impaired drivers were significantly (p < .05) more likely to have been the passenger of an impaired driver (78.08% vs. 53.44%), been an injection drug user (69.62% vs. 41.98%), had a casual sex partner (47.31% vs. 25.95%), and traded sex for drugs or money (31.15% vs. 15.27%) in the year prior to incarceration.Conclusions: This study found a consistent association between past year impaired driving and a range of drug- and sex-related risk behaviors in a sample of high-risk rural women incarcerated in jail. These findings highlight an opportunity to intervene in criminal justice settings to reduce multiple health risk behaviors.

Opioid Misuse and Associated Health Risks among Adults on Probation and Parole: Prevalence and Correlates 2015-2020

BACKGROUND

As state legislatures work to reduce prison populations and increase the use of community-based alternatives, limited knowledge exists about the service needs of those under criminal justice supervision in the community. Preliminary research indicates unusually high rates of disease, disability, and death. Health risks for this population include opioid misuse, a form of substance misuse that has reached epidemic proportions in the U.S. Evidence indicates this may be one of multiple epidemics this population experiences, complicating intervention.

METHODS

Our study included 5154 individuals on probation or parole. Using 2015-2020 data from the National Survey of Drug Use and Health (NSDUH), we conducted a series of logistic regressions examining associations between opioid misuse and a range of health risks, controlling for sociodemographic variables and survey year.

RESULTS

Approximately 17% of those on probation or parole indicated past-year opioid misuse, a rate 4 times higher than in the general population. Compared to those on probation and parole who did not misuse opioids, it was associated with higher odds of other health risk behaviors and mental health problems. For example, the odds of marijuana and cocaine use were 4-6 times higher and the odds of substance use disorder were 10 times higher. Similarly, the odds of experiencing major depressive episodes and serious psychological distress were 2-3 times higher.

CONCLUSIONS

Our findings reveal a markedly high risk for opioid misuse within this population along with associated risks for behavioral and mental health problems. The complex treatment needs of this population require greater policy attention and further research.

Driving under the influence of cannabis and alcohol: Evidence from a national sample of young drivers

OBJECTIVE

Driving under the influence (DUI) of psychoactive substances is an important public health and criminal justice issue, impacting the lives of millions of Americans. Although recent research provides up-to-date information regarding DUI among adults, there is a pressing need for research that focuses specifically on younger/underage drivers. We draw from a large, nationally-representative sample to provide up-to-date evidence as to the prevalence and key criminal justice, substance use, and behavioral health correlates of DUI of cannabis and alcohol among drivers ages 16 to 20 in the United States.

METHODS

We used data from the 2020 and 2021 National Survey on Drug Use and Health (young drivers ages 16-20; N=12,863). All analyses-survey adjusted prevalence estimates, logistic regression-were conducted using Stata SE 17.0 and weighted to account for the study's stratified cluster sampling design.

RESULTS

The prevalence of DUI-cannabis for the full sample-including those not endorsing past-year use-was 6.3%. Among youth endorsing past-year cannabis use, 24.5% reported DUI of cannabis. In the full sample and among cannabis users, DUI-cannabis risk was elevated among older and male youth. The prevalence of DUI-alcohol was 2.6% among all youth and 6.1% among youth reporting past-year alcohol consumption.

CONCLUSIONS

Estimates indicate that more than one million young drivers each year are placing their lives and those of others at risk by operating motor vehicles after consuming cannabis and/or alcohol. Findings underscore the importance of prevention efforts targeting underaged cannabis and alcohol-impaired driving.

The Association Between Vaping and Driving Under the Influence of Cannabis Among U.S. Young Adults

INTRODUCTION

Driving under the influence of cannabis is a significant public health concern that is particularly common in young adults (aged 18-25 years) and has increased in recent years. Vaping has also dramatically increased, particularly among young populations, and is frequently used for cannabis administration among young adults. Therefore, this study aimed to examine the positive association between vaping and cannabis driving under the influence among young adults (aged 18-25 years).

METHODS

This study used the 2020 National Survey on Drug Use and Health and included young adults aged 18-25 years. This study examined past-year cannabis driving under the influence prevalence by past-year vaping at the intersection of past-year cannabis use, after adjusting for other associated factors such as race/ethnicity, sex, employment status, past-year other tobacco use, past-year serious psychological distress, and past-year driving under the influence of alcohol. Data were analyzed in 2022.

RESULTS

Among a sample of 7,860 U.S. individuals aged 18-25 years, 23.8% vaped in the past year, and 9.7% reported past-year cannabis driving under the influence. Past-year vaping was positively associated with past-year cannabis use (adjusted prevalence ratio=2.12; 95% CI=1.91, 2.35). Among those with cannabis use in the past year, past-year vaping was positively associated with past-year cannabis driving under the influence (adjusted prevalence ratio=1.52; 95% CI=1.25, 1.84).

CONCLUSIONS

This study found positive associations between past-year vaping, cannabis use, and cannabis driving under the influence among U.S. young adults, indicating that vaping was positively associated with cannabis use. Vaping was also positively associated with cannabis driving under the influence among those who used cannabis. This preliminary evidence could inform prevention/intervention strategies related to vaping and cannabis driving under the influence.

Trends in mandibular fractures in the USA: A 20-year retrospective analysis

BACKGROUND/AIM

The mandible is one of the most fractured bones in the maxillofacial region. This study analyzes trends in mandibular fracture patterns, demographics, and mechanisms since the early 2000s.

MATERIAL AND METHODS

Mandibular fractures were reviewed from the 2007, 2011, and 2017 National Trauma Data Bank including 13,142, 17,057, and 20,391 patients by year, respectively. This database contains hundreds of thousands of patients annually and represents the largest trauma registry in the United States. Variables included number of fractures, sex, age, injury mechanism, and fracture location. Mechanism of injury included assault, motor vehicle crash, fall, motorcycle, bicycle, pedestrian, and firearm. Anatomic locations based on ICD-9/10 codes included symphysis, ramus, condyle, condylar process, body, angle, and coronoid process. Frequencies were compared using Chi-square tests of homogeneity with effect sizes estimated using Cramer's V.

RESULTS

Mandibular fractures represent 2%-2.5% of all traumas reported in the database from 2001 to 2017. The proportion of patients sustaining a single reported mandibular fracture decreased from 82% in 2007 to 63% in 2017. Males consistently experienced 78%-80% of fractures. Eighteen to 54-year-olds experienced the largest percentages of fractures throughout the 21st century, while median age of fracture shifted from 28 to 32 between 2007 and 2017. The most common fracture mechanisms were assault (42% [2001-2005]-37% [2017]), motor vehicle crash (31%-22%) followed by falls (15%-20%). From 2001-2005 to 2017, a decrease was observed in assaults (-5%) and motor vehicle crash (-9%) and an increase in falls (+5%), particularly among elderly females. The mandibular body, condyle, angle, and symphysis represent approximately two-thirds of all fractures without a consistent temporal trend among them.

CONCLUSIONS

The temporal trends observed can be linked to shifting age demographics nationally that may aid clinicians in diagnosis and inform public safety policies aimed at reducing these injuries, particularly among the growing elderly population.

Association of risky driving behavior with psychiatric disorders among Iranian drivers: A case-control study

PURPOSE

This study aimed to investigate the possible association between psychological disorders and risky driving behavior (RDB) in Iran.

METHODS

This case-control study conducted in Shiraz, Iran in 2021. The case group included drivers with psychological disorders and the control group included those without any disorders. The inclusion criteria for selecting patients were: active driving at the time of the study, being 18 - 65 years old, having a driving license, having a psychological disorder including depression, bipolar disorder, anxiety spectrum disorder, or psychotic disorder spectrum confirmed by a psychiatrist, and completing an informed consent form. The exclusion criterion was the existence of conditions that interfered with answering and understanding the questions. The inclusion criteria for selecting the healthy cases were: active driving at the time of the study, being 18 - 65 years old, having a driving license, lack of any past or present history of psychiatric problems, and completing an informed consent form. The data were gathered using a researcher-made checklist and Manchester driving behavior questionnaire. First, partition around medoids method was used to extract clusters of RDB. Then, backward logistic regression was applied to investigate the association between the independent variables and the clusters of RDB.

RESULTS

The sample comprised of 344 (153 with psychological disorder and 191 without confirmed psychological disorder) drivers. Backward elimination logistic regression on total data revealed that share of medical expenditure ≤ 10% of total household expenditure (OR = 3.27, 95% CI: 1.48 - 7.24), psychological disorder (OR = 3.08, 95% CI: 1.67 - 5.70), and substance abuse class (OR = 6.38, 95% CI: 3.55 - 11.48) were associated with high level of RDB.

CONCLUSION

Substance abuse, psychological illnesses, and share of medical costs from total household expenditure were found to be main predictors of RDB. Further investigations are necessary to explain the impact of different psychological illnesses on driving behavior.

Association of driving while intoxicated and suicide ideation and attempts in South Korea: a study in a nationally representative sample

Evidence indicating driving as a means for suicide has been consistently reported. However, there have been few reported studies examining the association between driving while intoxicated (DWI) and suicide. We aimed to investigate the associations between DWI and suicide ideation and suicide attempts taking into account the frequency and amount of alcohol consumption. This cross-sectional study used data from semi-structured, face-to-face interviews conducted with a nationally representative sample of the Korea Community Health Survey in 2009, 2013, and 2017. The study included 267,457 adult participants who drank alcohol at least once and had driven a motor vehicle at least once in the preceding year. The DWI group comprised participants who had driven under the influence of alcohol at least once in the preceding year. The associations between DWI and suicide ideation and suicide attempts were examined using a logistic regression model, adjusting for the frequency and amount of alcohol consumption and history of depressive episodes in the preceding year. The role of DWI as a risk factor for suicide was also examined in an analysis stratified by the frequency and amount of alcohol consumption. The DWI group included 39,062 (14.6%) subjects, who were at higher risk for suicide ideation (adjusted odds ratio [aOR] = 1.91; 95% CI 1.81-2.01) and suicide attempts (aOR = 1.56; 1.27-1.92) than those not involved in DWI. Increased risks of suicide ideation and suicide attempts were observed in most strata in the stratified analysis. People who engage in DWI may have an increased risk of suicide ideation and suicide attempts; this relationship was generally observed regardless of the frequency and amount of alcohol consumption.

Drunk driving: a secondary analysis of factors associated with driving under the influence of alcohol in Jamaica

OBJECTIVES

To determine the prevalence of alcohol use patterns, sociodemographic factors and risk of alcohol dependence among vehicle drivers in Jamaica.

DESIGN

A secondary data analysis.

SETTING

This study was conducted using the Jamaica National Drug Prevalence Survey 2016 dataset.

PARTICIPANTS

This included 1060 vehicle drivers derived from the population sample of 4623. The participants from each household were randomly selected as the respondent for the survey.

PRIMARY AND SECONDARY OUTCOME MEASURES

Alcohol use and dependence were measured using the Alcohol Use Disorders Identification Test questionnaire. Driving under the influence of alcohol (DUIA) was assessed by questions regarding its use in the past 12 months. The analysis involved the use of Pearson's χ2 test and logistic regression.

RESULTS

75% of Jamaicans reported lifetime alcohol use. Approximately 65% of drivers indicated that they currently drink alcohol. 18% of drivers who currently drink alcohol admitted to DUIA. Reportedly, 54.5% of these drivers were alcohol binge drinkers, with 41.5% also driving under the influence of cannabis. The bivariate analysis demonstrated that DUIA was higher among Christian participants and those who worked in non-machine operator jobs (p=0.002 and p=0.008, respectively). Vehicle drivers altogether and drivers who drive under the influence of alcohol had significant associations with hazardous drinking (p=0.011 and p<0.001, respectively). Logistic regressions highlighted drivers 34 years and under (p=0.012), male drivers (p=0.002) and the head of the household (p=0.050) were 1.82, 3.30 and 1.86 times more likely, respectively, to report driving under the influence of alcohol in the past year.

CONCLUSIONS

The prevalence of alcohol use among Jamaica's population and vehicle drivers is high. That one in five drivers, who currently consume alcohol, also admits to driving under the influence suggests the urgent need for mitigation strategies and legislative action as part of a preventative effort to reduce drunk driving.

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.

Towards more accurate classification of risk of arrest among offenders on community supervision: An application of machine learning versus logistic regression

BACKGROUND

Although there is general consensus about the behavioural, clinical and sociodemographic variables that are risk factors for reoffending, optimal statistical modelling of these variables is less clear. Machine learning techniques offer an approach that may provide greater accuracy than traditional methods.

AIM

To compare the performance of advanced machine learning techniques (classification trees and random forests) to logistic regression in classifying correlates of rearrest among adult probationers and parolees in the United States.

METHOD

Data were from the subgroup of people on probation or parole who had taken part in the National Survey on Drug Use and Health for the years 2015-2019. We compared the performance of logistic regression, classification trees and random forests, using receiver operating characteristic curves, to examine the correlates of arrest within the past 12 months.

RESULTS

We found that machine learning techniques, specifically random forests, possessed significantly greater accuracy than logistic regression in classifying correlates of arrest.

CONCLUSIONS

Our findings suggest the potential for enhanced risk classification. The next step would be to develop applications for criminal justice and clinical practice to inform better support and management strategies for former offenders in the community.

Driving under the influence of cannabis, alcohol, and illicit drugs among adults in the United States from 2016 to 2020

OBJECTIVE

Driving under the influence (DUI) of substances increases motor vehicle crash risk. Understanding current national trends of driving under the influence of alcohol (DUIA), cannabis (DUIC), and drugs other than cannabis (DUID) can inform public health efforts. Herein, we provide updated trends among United States (US) adults regarding DUIA, DUIC, DUID, and DUI of any substance.

METHOD

We used nationally-representative National Survey on Drug Use and Health (2016-2020) data to derive prevalence estimates of past-year DUIC, DUIA, DUID, and DUI of any substance among non-institutionalized US adults and among those reporting respective past-year  substance use. Prevalence estimates and adjusted logistic regressions characterized temporal trends of these behaviors among US adults, among those with respective past-year substance use, and among stratified demographic subpopulations.

RESULTS

Over 1 in 10 US adults reported DUI of any substance annually from 2016 to 2020.DUIA was most prevalent among all US adults (8.7% in 2017); however, this behavior is decreasing (AOR:0.96; 95%CI:0.94,0.98). No change in DUIC among the US adult population was found, but a decrease was found among those with past-year cannabis use (AOR:0.95; 95%CI:0.93,0.98), which coincided with a 29.1% increase in past-year cannabis use. There were no significant changes in overall DUID; however, females, those ages 26-34 and 65 or older with past-year use displayed increasing trends. DUI of any substance decreased among the US adult population.

CONCLUSIONS

DUI remains a salient public health concern in the US and results indicate population subgroups who may benefit from impaired driving prevention interventions.

Toward a typology of driving under the influence of alcohol and drugs

PURPOSE

Most research on driving under the influence (DUI) has relied upon variable-centered methods that examine predictors/correlates of DUI. In the present study, we utilize a person-level approach-latent class analysis (LCA)-to model a typology of individuals reporting DUI. This allows us to understand the degree to which individuals drive under the influence of a particular substance or do so across multiple substance types.

METHODS

We use public-use data collected between 2016 and 2019 from the National Survey on Drug Use and Health. The analytic sample was 189,472 participants with a focus on those reporting DUI of psychoactive substances in the past-year (n = 24,619). LCA was conducted using self-reported DUI of past-year alcohol, cannabis, cocaine, heroin, hallucinogens, and methamphetamine as indicator variables.

RESULTS

More than 1 in 10 Americans reported a DUI within the past-year. One in five people who reported DUI of one substance also reported DUI of at least one additional substance. Using LCA to model heterogeneity among individuals reporting DUI, four classes emerged: "Alcohol Only" (55%), "Cannabis and Alcohol" (36%), "Polydrug" (5%), and "Methamphetamine" (3%). Rates of risk propensity, drug involvement, illicit drug use disorders, and criminal justice system involvement were highest among members of the "Polydrug" and "Methamphetamine" classes.

CONCLUSION

Drug treatment centers should take care to include discussions of the dangers and decision-making processes related to DUI of the full spectrum of illicit substances. Greater investment in drug treatment across the service continuum, including the justice system, could prevent/reduce future DUI episodes.

"I'm an adult now": Health risk behaviors and identifying as an adult

Is identifying as an adult associated with lower rates of participation in risky behaviors? This study focuses on how identity affects health behaviors for young adults. We use an original sample of over 500 18- to 29-year-olds in the United States to explore how self-identification as an adult is associated with three clusters of health risk behaviors: substance use, risky sexual behavior, and risky driving behavior. Consistent with our predictions, we find that viewing oneself as an adult is associated with lower levels of participation in each of the health risk behavior outcomes.

A New Method for Breath and Blood Alcohol Determination in Rats Using a Breath Alcohol Meter: An Experimental Study

Background

The use of police breath alcohol detectors in rat breath alcohol detection experiments has always been a challenge because of the small lung capacity and inability of rats to actively inhale. However, the method of using gas chromatography to detect blood alcohol concentration is time-consuming, complex, relatively expensive, and cannot achieve on-site detection and multi-point unlimited non-invasive detection.

Objectives

In this study, a laboratory method was validated for rat breath ethanol concentration (BrAC) measurement to estimate blood ethanol concentration (BAC) in rats.

Methods

The rats were placed in a gas collection bottle, the breath sample was drawn out with a syringe, and injected into the mouthpiece of the breath alcohol detector through a rubber tube. The results were immediately detected and automatically converted to BAC. Male rats were randomly divided into three groups. The control group received an intraperitoneal injection of normal saline, the liver injury group received an intraperitoneal injection of 50% Carbon tetrachloride (CCL4 1 mL.kg^-1), and the induction group received an intraperitoneal injection of phenobarbital sodium (75 mg.kg^-1). Western blot analysis was used to detect the protein expression of CYP2E1. Similar grouping and experimental methods were used for female rats.

Results

This method was reproducible. The metabolic activity of CYP2E1 was downregulated in the injury group and upregulated in the induction group, which was consistent with the results obtained for CYP2E1 protein expression.

Conclusions

Our results confirmed that the rat gas cylinder breath alcohol assay can be used for multiple detections with immediate and non-invasive determination of alcohol metabolizing capacity. This is important for studies that require repeated assessment of blood alcohol levels.

Estimate of the magnitude of risky and protective behaviors associated with road traffic injuries in capitals participating in the Life in Traffic Project of Brazil

BACKGROUND

Brazil occupies the fifth position in the ranking of the highest mortality rates due to RTI in the world. With the objective of promoting traffic safety and consequently reducing deaths, Brazil created the Life in Traffic Project (LTP). The main goal of LTP is reducing 50% of RTI deaths, by promoting interventions to tackle risk factors, such as driving under the influence of alcohol and excessive and/or inappropriate speed. Thus, the aim of this study was to estimate the magnitude of risky and protective factors for RTI in capitals participating in the LTP in Brazil. We estimated these factors according to sociodemographic (age group, sex, education, race and, type of road user).

METHODS

A total of 5,922 car drivers and motorcyclists from 14 Brazilian capitals participating in the LTP were interviewed. Data collection was carried out in sobriety checkpoints at night and consisted of the administration of an interview and a breathalyzer test. Risky and protective behaviors associated with RTI were investigated. Covariates of the study were: age, sex, education, race and, type of road user. Poisson multiple regression analysis was used to assess the relationship between variables of interest.

RESULTS

The prevalence of individuals with positive blood alcohol concentration (BAC) was 6.3% and who reported driving after drinking alcohol in the last 30 days was 9.1%. The others risky behaviors reported were: driving at excessive speed on roads of 50 km/h, using a cell phone for calls while driving, using a cell phone to send or read calls while driving, running a red light. Use of seatbelts and helmets showed prevalence above 96,0% Use of seatbelts showed prevalence of 98.6% among car drivers, and helmet use was described by 96.6% of motorcycle drivers. Most risky behaviors were more prevalent in younger age groups (except BAC measurement higher in older participants), in males (except for cell phone use), in participants with higher education level and without a driver's license.

CONCLUSION

Excessive speed and driving under the influence of alcohol, defined as priorities within the LTP, need more consistent interventions, as they still have considerable prevalence in the cities investigated. The factors described such as cell phone usage and passing red traffic lights should also need to be prioritized as a focus on promoting traffic safety.

Are state minimum jail laws associated with less frequent drunk-driving?

OBJECTIVES

The current study investigated associations between minimum jail sentences included in state DUI laws and self-reported drunk-driving in the US. Scant existing research has been conducted on this topic. The current study is the first to use Behavioral Risk Factor Surveillance System (BRFSS) data to investigate associations between minimum jail sentences and frequency of self-reported drunk-driving among adults who report drunk-driving.

METHODS

2020 BRFSS data were used. Analyses were limited to participants aged 18 years and older who reported at least one episode of drunk-driving during the past 30-days. Participants missing data on age, gender, race, income, binge-drinking, or state of residence were excluded from analyses. The final sample size was 3,732. Websites from official state legislatures and/or data from state motor vehicle departments were used to gather current information on DUI minimum jail penalties. A dichotomous variable was created that categorized all 50 states and Washington D.C. as either (i) having a minimum jail sentence for first time DUI offense or (ii) having no minimum jail sentence for first time DUI offense. Multivariable negative binomial regression analyses were conducted using SAS^® v9.4. The dependent variable was the number of self-reported drunk-driving episodes.

RESULTS

Among the sample of adults who reported drunk-driving, residents of states with no minimum jail sentence for a first-time DUI offense had a 32% higher incidence rate of drunk-driving episodes [RR = 1.32,95% CI:0.98-1.77] compared to their counterparts residing in states with a minimum jail sentence for first time DUI offenses. Similar findings were observed in multiple sensitivity analyses conducted.

CONCLUSION

There was a marginally significant [p = 0.07] higher incidence rate of drunk-driving episodes among residents of states with no minimum jail sentence compared to those in states with a minimum jail sentence for the first time DUI. This was the first study to use BRFSS 2020 data to investigate this association and only among participants who self-reported drunk-driving. We therefore provide an important contribution to the literature on this association by using the most up to date data and among a valid sample of drunk drivers. Further studies that provide stronger causal inference are needed.

Prevalence and correlates of driving under the influence of stimulants: Evidence from a national sample

BACKGROUND

Several million Americans use illicit stimulants every month and national data suggest stimulant use is increasing. However, little evidence exists that examines the prevalence and correlates of driving under the influence of stimulants (DUIS). The present study aimed to provide new evidence on the prevalence of DUIS in the U.S. adult population.

METHODS

This study examined data from 170,944 adults 18 and older in the 2016-2019 National Survey on Drug Use and Health. Using Stata and R, we estimated the prevalence and key correlates of DUIS among adults in the United States.

RESULTS

The overall prevalence of DUIS was 0.7% among adults in general and 28.3% among past-year stimulant users. Among the full adult sample, the prevalence of DUI cocaine was 0.5% and the prevalence of DUI methamphetamine was 0.3%. More than one in five (21.6%) adults with past year cocaine use reported DUI of cocaine, while nearly one half (47.2%) of adults with past year methamphetamine use reported DUI of methamphetamine. There is also a substantially higher likelihood of driving under the influence of stimulants among individuals reporting early onset of use and among those meeting criteria for cocaine/methamphetamine use disorders. Among adults who used cocaine/methamphetamine, those who reported driving under the influence of stimulants were more than 2 times more likely to experience a depressive episode or psychological distress.

CONCLUSION

Findings suggest that prevention/treatment approaches focused on multiple substances as well as mental health needs may be most appropriate for addressing the challenge of DUIS.

Simultaneous Alcohol/Cannabis Use and Driving Under the Influence in the U.S

INTRODUCTION

Alcohol and cannabis are commonly involved in motor vehicle crashes and fatalities. This study examines whether simultaneous use of alcohol/cannabis is associated with higher odds of reporting driving under the influence of alcohol and cannabis in the U.S.

METHODS

Drivers aged ≥16 years with any past-year alcohol and cannabis use in the 2016-2019 National Survey on Drug Use and Health (N=34,514) reported any past-year driving under the influence of alcohol-only, cannabis-only, both alcohol/cannabis, or not driving under the influence. Survey-weighted associations between simultaneous alcohol/cannabis use and each of the driving under the influence outcomes were computed adjusting for sociodemographics and daily alcohol/cannabis use. Analyses were conducted from November 2020 to September 2021.

RESULTS

In 2016-2019, 42% of drivers with past-year alcohol and cannabis use reported driving under the influence (8% alcohol-only, 20% cannabis-only, 14% alcohol/cannabis). Simultaneous alcohol/cannabis use was associated with 2.88-times higher adjusted odds of driving under the influence of cannabis-only (95% CI=2.59, 3.19) and 3.51-times higher adjusted odds of driving under the influence of both alcohol/cannabis (95% CI=3.05, 4.05), compared to not driving under the influence. Associations with driving under the influence of alcohol-only were unexpectedly in the opposite direction (adjusted conditional odds ratio=0.59, 95% CI=0.45, 0.79).

CONCLUSIONS

Overall, 2 in 5 drivers who used alcohol and cannabis reported driving under the influence of alcohol and/or cannabis. People reporting simultaneous alcohol/cannabis use were more likely to report cannabis-related driving under the influence. Prevention strategies should target individuals reporting simultaneous alcohol/cannabis use to reduce the occurrence of driving under the influence.

Drivers and Passengers in Vehicles Driven Under the Influence of Alcohol or Marijuana: Behavior Profiles and Risk Factors Among Young Adults in a Longitudinal Study

OBJECTIVE

Little research has examined psychosocial influences differentially associated with driving under the influence of alcohol and marijuana (DUIA/DUIM) or of being a passenger in a vehicle driven by someone under the influence of alcohol or marijuana (PVA/PVM).

METHOD

Using 2019 survey data among 2,375 young adults (M age = 24.66, 57.7% female, 51.2% in states with legal marijuana retail) in a longitudinal study examining vaping retail, we conducted latent class analysis (LCA) to identify classes of DUI-related behaviors and multinomial logistic regression to identify correlates of classes (e.g., individual, interpersonal, policy related).

RESULTS

A total of 22.6% reported past-month DUIA, 24.1% DUIM, 29.7% PVA, and 27.7% PVM. Of those reporting DUIA, 41.4% reported DUIM, 71.8% PVA, and 40.7% PVM. Of those reporting DUIM, 47.7% reported DUIA, 49.6% PVA, and 83.8% PVM. LCA indicated four classes: alcohol and marijuana risk takers (5.9%), all of whom reported DUIA and DUIM, 81.2% PVA, and 89.2% PVM; marijuana risk takers (14.2%), 45.1% DUIM, 100% PVM, 7.8% PVA, and 0% DUIA; alcohol risk takers (24.1%), 40.1% DUIA, 98.6% PVA, 2.6% DUIM, and 33.8% PVM; and low risk takers (55.8%), 8.7% DUIA, 4.5% DUIM, and 0% PVA/PVM. Relative to the other classes, alcohol and marijuana risk takers were more likely male, heterosexual, and White, and alcohol and marijuana risk takers reported greater depressive symptoms. Influences of parent/peer alcohol versus marijuana use were specific to the respective DUI risk behaviors. No differences emerged for legal marijuana retail.

CONCLUSIONS

Findings regarding those at particular risk, social influences, and situations under which DUI-related behaviors occur should inform future interventions and research.

Drivers and Passengers in Vehicles Driven Under the Influence of Alcohol or Marijuana: Behavior Profiles and Risk Factors Among Young Adults in a Longitudinal Study

OBJECTIVE

Little research has examined psychosocial influences differentially associated with driving under the influence of alcohol and marijuana (DUIA/DUIM) or of being a passenger in a vehicle driven by someone under the influence of alcohol or marijuana (PVA/PVM).

METHOD

Using 2019 survey data among 2,375 young adults (M age = 24.66, 57.7% female, 51.2% in states with legal marijuana retail) in a longitudinal study examining vaping retail, we conducted latent class analysis (LCA) to identify classes of DUI-related behaviors and multinomial logistic regression to identify correlates of classes (e.g., individual, interpersonal, policy related).

RESULTS

A total of 22.6% reported past-month DUIA, 24.1% DUIM, 29.7% PVA, and 27.7% PVM. Of those reporting DUIA, 41.4% reported DUIM, 71.8% PVA, and 40.7% PVM. Of those reporting DUIM, 47.7% reported DUIA, 49.6% PVA, and 83.8% PVM. LCA indicated four classes: alcohol and marijuana risk takers (5.9%), all of whom reported DUIA and DUIM, 81.2% PVA, and 89.2% PVM; marijuana risk takers (14.2%), 45.1% DUIM, 100% PVM, 7.8% PVA, and 0% DUIA; alcohol risk takers (24.1%), 40.1% DUIA, 98.6% PVA, 2.6% DUIM, and 33.8% PVM; and low risk takers (55.8%), 8.7% DUIA, 4.5% DUIM, and 0% PVA/PVM. Relative to the other classes, alcohol and marijuana risk takers were more likely male, heterosexual, and White, and alcohol and marijuana risk takers reported greater depressive symptoms. Influences of parent/peer alcohol versus marijuana use were specific to the respective DUI risk behaviors. No differences emerged for legal marijuana retail.

CONCLUSIONS

Findings regarding those at particular risk, social influences, and situations under which DUI-related behaviors occur should inform future interventions and research.

Alcohol abstinence and binge drinking: the intersections of language and gender among Hispanic adults in a national sample, 2002-2018

PURPOSE

Prior research examining alcohol use using national data has often overlooked vital heterogeneity among Hispanics, especially that related to language dominance and gender. We examine the prevalence of alcohol abstinence and-given prior research suggesting that many Spanish dominant Hispanics do not drink-examine rates of binge drinking among past-year alcohol users with a focus on the intersections of language and gender among Hispanics, while drawing comparisons with non-Hispanic (NH) White and NH Black adults.

METHODS

Drawing from the National Survey on Drug Use and Health-a nationally representative survey between 2002 and 2018-we examine the year-by-year prevalence of alcohol abstinence and binge drinking among adults ages 18 and older in the United States.

RESULTS

A disproportionate number of Spanish-dominant Hispanics abstain from alcohol use (54%), with particularly high levels of alcohol abstinence observed among Spanish dominant women (men: 39%, women: 67%). The prevalence of alcohol abstinence among English-dominant Hispanic men (24%) and women (32%) is far lower, approximating that of NH Whites (men: 23%, women: 32%). Importantly, however, among Spanish-dominant drinkers, the prevalence of binge drinking (men: 52%, women: 33%) is comparable to or greater than NH Whites (men: 42%, women: 32%). Binge drinking levels among English-dominant Hispanic men (50%) and women (37%) are greater than among their NH White counterparts.

CONCLUSION

Findings paint a complex picture; consistent with prior research, we see that many Hispanics abstain from alcohol, but we also see new evidence underscoring that-among Hispanic drinkers-the prevalence of binge drinking is disconcertingly elevated.

Binge drinking in early adulthood: A machine learning approach

Binge drinking among young adults (18-25) has been recognized as a public health concern. Considerable variation among drinking behaviors have been found among this group. Several statistical methods are available to identify theoretically and empirically meaningful correlates of binge drinking. The present study evaluated three methods for identifying correlates of binge drinking, comparing logistic regression to two machine learning methods-classification tress and random forests. While each model identified similar correlates of binge drinking-such as propensity for engaging in risky behaviors, marijuana dependence, cocaine dependence, identifying as non-Hispanic white, and higher education-the AUC analysis showed that the random forest analysis more accurately classified positive cases of binge drinking. Random forests modelling of psychosocial data is a feasible approach for identifying correlates of binge drinking behaviors among young adults. Clinical implications are discussed related to screening for binge drinking in behavioral health organizations.

Driving while under the influence of hallucinogens: Prevalence, correlates, and risk profiles

BACKGROUND

Hallucinogen use is rising in the US, yet little is known regarding the prevalence and psychosocial/behavioral correlates of driving under the influence of these drugs.

METHODS

This study examined data from 4447 individuals ages 16-64 who reported past-year hallucinogen use in the 2016-2018 National Survey on Drug Use and Health. Prevalence estimates (with 95% confidence intervals [CIs]) were calculated for driving under the influence of hallucinogens (DUIH). Logistic regression examined psychosocial/behavioral correlates of DUIH, and latent class analysis (LCA) characterized subgroups of individuals reporting DUIH.

RESULTS

The prevalence of past-year hallucinogen use was 2.42% (CI = 2.30-2.54) and, in the general population, the prevalence of DUIH was 0.21%. Among past-year hallucinogen users, 8.94% (CI = 7.74-10.31) reported DUIH on at least one occasion over the previous 12 months. The probability of DUIH increased significantly with more frequent use. Compared to individuals who used hallucinogens and did not report DUIH, individuals reporting DUIH were significantly more likely to report mental health problems; use of other illicit drugs; selling drugs; a past-year arrest; or driving under the influence of alcohol, cannabis, or other illicit drugs. LCA identified three classes of individuals reporting DUIH, characterized by: use of and driving under the influence of cannabis; use of and driving under the influence of cannabis and other illicit drugs; and mental health concerns.

CONCLUSIONS

Nearly one in ten individuals who report using hallucinogens also report driving under the influence of hallucinogens-drugs that affect perception and risk-taking, with alarming implications for driving safety.

Examining the relationship between impaired driving and past crash involvement in Europe: Insights from the ESRA study

Driving under the influence of alcohol, drugs and fatigue are all important factors of crash causation. Exploring the link between driver attitudes and crash involvement provides understanding on these important issues. To that end, questionnaire answers of car drivers disclosing their attitudes on the impacts of driving under the influence of alcohol, drugs and fatigue, and their relationship with past crash involvement as car drivers were analysed. A two-step approach is adopted: Principal Component Analysis (PCA) was employed to consolidate relative questions in numeric factor quantities. Afterwards, binary logistic regression was implemented on the calculated component scores to determine the impact of perspectives of road users for each factor on past crash involvement of car drivers. Data from the international ESRA2015 survey were utilized. PCA indicated that it is possible to meaningfully merge 29 ESRA2015 questions relevant to driving under the influence of alcohol, drugs and fatigue into 8 informative components accounting for an adequate percentage of variance. Binary logistic analysis indicated that components involving overall personal and communal acceptance of impaired driving, overall and past year personal behaviour towards impaired driving and frequency of typical journey checks by traffic police were all quantities positively correlated with past crash involvement.

Margin for error: examining racial and ethnic trends in adolescent risk propensity

BACKGROUND

Relatively little research has accrued examining risk propensity across racial and ethnic groups, especially across time and at the population level.

AIMS

Using a margin for error framework to conceptualize risk variation among major racial and ethnic groups, we hypothesize that African American and Hispanic adolescents will be less likely to report engaging in dangerous risk taking acts compared to White adolescents.

METHODS

This study examines public-use data collected on risk propensity and risky behaviors among adolescents 12-17 between 2002 and 2018 as part of the National Survey on Drug Use and Health (NSDUH).

RESULTS

While we observed decreased trends in risk propensity, controlling for demographic factors, we see significantly greater odds of reporting "never" engaging in risk for fun among NH Black (AOR 2.01, 95% CI 1.85-2.18) and Hispanic youth (AOR 1.47, 95% CI 1.37-1.58) as compared to NH White youth. NH Black (AOR 0.74, 95% CI 0.61-0.89) and Hispanic (AOR 0.83, 95% CI 0.71-0.98) youth are also less likely than NH White youth to report "always" taking risks for fun. Moreover, the risk propensity-risky behaviors link was weaker among African American and Hispanic adolescents.

CONCLUSIONS

We find compelling evidence that African American and Hispanic adolescents are less likely to endorse deriving positive reinforcement from potentially dangerous risk taking acts compared to White adolescents. These findings suggest that African American and Hispanic youth may perceive less "margin for error" when navigating their environments.

Prevalence and Correlates of Driving Under the Influence of Cannabis in the U.S

INTRODUCTION

As cannabis use rises among adults in the U.S., driving under the influence of cannabis represents a public health concern.

METHODS

In 2020, public-use data from the National Survey on Drug Use and Health were examined, using an analytic sample of 128,205 adults interviewed between 2016 and 2018. The annual prevalence of driving under the influence of cannabis was computed overall, by state, by demographic group, and among cannabis users. Demographic, psychosocial, and behavioral correlates of driving under the influence were tested by multivariate logistic regression.

RESULTS

The self-reported annual prevalence of driving under the influence of cannabis was 4.5% (95% CI=4.3, 4.6) among U.S. adults, ranging from 3.0% (Texas) to 8.4% (Oregon) in individual U.S. states. Among cannabis users, 29.5% (95% CI=28.6, 30.3) reported driving under the influence of cannabis; the predicted probabilities of driving under the influence of cannabis were highest for those with more frequent use, with daily cannabis users evidencing a 57% predicted probability. Among individuals with symptoms suggestive of a cannabis use disorder, the prevalence of driving under the influence of cannabis was 63.8% (95% CI=60.8, 66.6). Among cannabis users, those reporting driving under the influence of cannabis had higher odds of driving under the influence of other illicit substances, using other illicit drugs, taking part in illegal behavior, and suffering from mental distress, after adjusting for demographic characteristics and psychosocial/behavioral correlates.

CONCLUSIONS

Findings suggest that prevention efforts should focus on frequent and problem cannabis users and should include content related to other illicit drug use and other drug-impaired driving.

Driving after marijuana use among U.S. adolescents: Prevalence profiles and related behaviors

OBJECTIVES

The interplay between marijuana legislation, perceptions of risks associated with marijuana use, and marijuana-related risk behaviors is an ever changing and complex issue. Marijuana impaired driving is of concern as legalization continues to expand in the United States. While driving after using marijuana has been shown to be prevalent among adults, little research has examined the behavior in adolescents. The aim of the present study was to examine the prevalence of driving after using marijuana among U.S. adolescents, with an examination of the relationship to age of marijuana initiation and marijuana usage patterns.

METHODS

We analyzed data from the 2017 Youth Risk Behavior Survey, a nationally representative sample of high schools students in the U.S. The sample was current marijuana users, defined as past 30 day use. Driving after using marijuana was the main outcome variable, with analyses examining the association between the outcome and age of initiation and patterns of use. Prevalence ratios were obtained by modeling Poisson regression to examine factors associated with driving under the influence of marijuana.

RESULTS

Nearly half of all marijuana users reported driving after use during the past 30 days, and did not differ between males and females. Prevalence of driving after using marijuana was significantly higher among heavy users (PR = 2.8; 95% CI 2.1-3.6). A higher prevalence of driving after drinking alcohol (PR = 1.7; 95% CI 1.5-1.9) was also found among those who had driven after using marijuana.

CONCLUSIONS

Among adolescent marijuana users, the prevalence of driving after using marijuana was high. Enhanced surveillance, prevention, and control measures are necessary to mitigate the negative impacts of marijuana consumption and related behaviors.

Trends and correlates of Internet support group participation for mental health problems in the United States, 2004-2018

PURPOSE

This study sought to examine the trends in Internet support group (ISG) participation among U.S. adults and to investigate the sociodemographic and behavioral health profiles of ISG participants.

METHODS

Data was derived from the National Survey on Drug Use and Health (2004-2018, n = 625,883). Logistic regression was used to examine significance of trend year and correlates of ISG participation. Latent class analysis was conducted to identify subtypes of ISG participants.

RESULTS

The proportion of U.S. adults participating in ISG increased significantly from 2.29% (2004-2007) to 3.55% (2016-2018). ISG participants were less likely to be male, 35 or older, be part of an ethnic/racial minority group, or have household incomes between $20,000 and $49,999. Black/African American participants and those classified as "other" race showed the largest percent increases, while Hispanics showed no change. ISG participants were more likely to have experienced a depressive episode and to have used cannabis. Three subtypes of ISG participants were identified, including the Lower Behavioral Health Risk group (62%), the Elevated Behavioral Health Risk group (24%), and the Depression, Cigarettes, and Cannabis group (14%).

CONCLUSION

Overall, we found an increasing trend in seeking mental health care through ISG among US adults since the early 2000s. While disparities among some disadvantaged groups such as Blacks/African Americans and individuals with lower household income were diminishing, continuing efforts to engage men, older adults, and Hispanics in ISG are needed. This investigation also identified distinct subtypes of ISG participants and provides important implications for future research on ISG.