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

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.

A Spatiotemporal Analysis of the Association of California City and County Cannabis Policies with Cannabis Outlet Densities

BACKGROUND

Cannabis outlets may affect health and health disparities. Local governments can regulate outlets, but little is known about the effectiveness of local policies in limiting outlet densities and discouraging disproportionate placement of outlets in vulnerable neighborhoods.

METHODS

For 241 localities in California, we measured seven policies pertaining to density or location of recreational cannabis outlets. We geocoded outlets using web-scraped data from the online finder Weedmaps between 2018 and 2020. We applied Bayesian spatiotemporal models to evaluate associations of local cannabis policies with Census block group-level outlet counts, accounting for confounders and spatial autocorrelation. We assessed whether associations differed by block group median income or racial-ethnic composition.

RESULTS

Seventy-six percent of localities banned recreational cannabis outlets. Bans were associated with fewer outlets, particularly in block groups with higher median income, fewer Hispanic residents, and more White and Asian residents. Outlets were disproportionately located in block groups with lower median income [posterior RR (95% credible interval): 0.76 (0.70, 0.82) per $10,000], more Hispanic residents [1.05 (1.02, 1.09) per 5%], and fewer Black residents [0.91 (0.83, 0.98) per 5%]. For the six policies in jurisdictions permitting outlets, two policies were associated with fewer outlets and two with more; two policy associations were uninformative. For these policies, we observed no consistent heterogeneity in associations by median income or racial-ethnic composition.

CONCLUSIONS

Some local cannabis policies in California are associated with lower cannabis outlet densities, but are unlikely to deter disproportionate placement of outlets in racial-ethnic minority and low-income neighborhoods.

Trends and correlates of spatially aggregated alcohol-involved crashes among Whites and Hispanics in California

AIMS

This paper examines trends and correlates of alcohol-involved motor vehicle crashes (AMVCs) in California between 2005 and 2016 among Hispanic and non-Hispanic Whites (Whites hereafter). Together these two groups comprise 76% of the state population. The paper also examines whether alcohol outlet density, percentage of Hispanics in census tract populations, and distance to the U.S./Mexico border are related to greater risks for AMVCs. The border is of interest given the greater availability of alcohol in the area.

METHODS

Crash data come from Statewide Integrated Traffic Records System maintained by the California Highway Patrol. Sociodemographic and community characteristics data from the U.S. Census and alcohol outlet density were aggregated to census tracts. Total motor vehicle crashes and AMVCs were related to these characteristics using hierarchical Bayesian Poisson space-time models.

RESULTS

There were over two million injury and fatality crashes during the period of analysis, of which 11% were AMVCs. About 1.7% of these crashes had fatalities. The rate of AMVCs increased among both Whites and Hispanics until 2008. After 2008, the rate among Whites declined through 2016 while the rate among Hispanics declined for 2 years (2009 and 2010) and increased thereafter. Crash distance from the border (RR = 1.016, 95% CI = 1.010 to 1.022) and percent Hispanic population (RR = 1.006; 95% CI = 1.003 to 1.009) were well-supported results with 95% credible intervals that did not include 1. The percentages of the following: bars/pubs, males, individuals aged 18 to 29 and 40 to 49 years, U.S. born population, individuals below the 150% poverty level, unemployed, housing vacant, and housing owner-occupied were all positively associated with AMVCs and well supported.

CONCLUSIONS

Between 2005 and 2016 the rate of AMVCs in California declined among Whites but not among Hispanics. Population-level indicators of percent Hispanic population, distance to the U.S. Mexico border, gender, age distribution, and socioeconomic stability were positively associated with crash rates, indicating that important contextual characteristics help determine the level of AMVC rates in communities.

Population-Based Correlates of Spatially Aggregated Drug-Related Arrests On and Off the U.S.-Mexico Border in California

OBJECTIVE

The purpose of this study was to examine drug-related arrest rates in California from 2005 to 2017 with a focus on the measurement of presumptive excess arrests across areas proximate to the U.S.-Mexico border.

METHOD

Arrest data come from the Monthly Arrest and Citation Register (MACR) by the California Department of Justice. U.S. Census demographic population information, and alcohol outlet data from the California Department of Alcoholic Beverage Control, were aggregated at the level of 499 Law Enforcement Reporting Areas (LERA) that contributed to the MACR report. Multivariable analyses were conducted using hierarchical Bayesian Poisson spacetime models.

RESULTS

Multivariable results showed that felony and misdemeanor arrests increased with distance from the U.S.-Mexico border (felony relative rate [RR] = 1.007, 95% CI [1.003, 1.010]; misdemeanor RR = 1.013, 95% CI [1.010, 1.016]) and were greater in areas with greater outlet concentrations (felony RR = 1.008, 95% CI [1.008, 1.008]; misdemeanor RR = 1.007, 95% CI [1.007, 1.007]) and a greater percentage of bars and pubs (felony RR = 1.031, 95% CI [1.030, 1.032]; misdemeanor RR = 1.052, 95% CI [1.051, 1.053]). Areas with greater Black populations had greater felony and fewer misdemeanor arrests (felony RR = 1.078, 95% CI [1.076, 1.079]; misdemeanor RR = 0.865, 95% CI [0.864, 0.867]). Areas with greater Hispanic populations had greater misdemeanor arrests (RR = 1.008, 95% CI [1.006, 1.009]). The percentage of off-premise outlets was inversely associated with misdemeanor arrest rates (RR = 0.995, 95% CI [0.994, 0.995]).

CONCLUSIONS

Although arrest rates were substantively related to the racial composition of areas across California, there was no evidence of excess drug-related arrests along border areas.

Proximity to the U.S./Mexico border, alcohol outlet density and population-based sociodemographic correlates of spatially aggregated violent crimes in California

This paper examines trends and population-level correlates of violent crime rates from 2005 to 2017 in California, including proximity to the U.S./Mexico border and alcohol outlet density. Crime data come from the Crimes and Clearances report compiled by the California Department of Justice. These and U.S. Census data were aggregated at the level of 499 Law Enforcement Reporting Areas (LERA) that contributed to the report. Reported crime rates were related to area characteristics using hierarchical Bayesian Poisson space-time models. Violent crime rates declined 16% from 2005 to 2017. Crime rates were positively related to distance to the border, total alcohol outlet density, percent outlets that are bars and pubs, percent population Black, percent population Hispanic, percent population 30-49 years of age, percent population U.S. born, percent 150% below federal poverty level, percent high school graduate, and percent houses vacant. Violent crimes were negatively related to percent total outlets that are off-premise, percent population male, percent with higher than 2017 adjusted median income, percent owner occupied houses, and lower population density. In conclusion, several population level characteristics including ethnic composition, community socioeconomic stability, and alcohol availability are associated with violent crime rates. Contrary to public perceptions, violent crime rates increase as distance to the Mexico border increases.