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This paper examines self-reported rates of drinking and cannabis use and co-use among White and Hispanic adults randomly selected in four counties in California: Imperial on the border; and Kern, Tulare, and Madera in California's Central Valley. Co-use was significantly higher among the U.S. born than among those born abroad, and in the Central Valley than on the border. Co-users were heavier drinkers, had higher rates of alcohol use disorder, other alcohol problems, and a positive history of illicit drug use than drinkers only.

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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.

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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.

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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.

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BACKGROUND: Alcohol use can lead to child abuse and neglect even if the person using alcohol does not use heavily. Yet relatively few measures that reflect alcohol use are available at smaller geographic units. We assess whether the estimated level of total alcohol use per capita is related to measures of child abuse and neglect that include substantiated reports of maltreatment, total entries into foster care, and alcohol-related entries into foster care. METHODS: Our sample consists of 326 Census block groups in Sacramento, California over three time points (978 space-time units). Administrative data for substantiations of child abuse and neglect and foster care entries are our outcomes. We create market potentials for alcohol use among 18- to 29-year-olds as our primary independent variable. Data are analyzed using Bayesian conditionally autoregressive spatio-temporal models. RESULTS: Higher alcohol use potentials (as measured by total volume per capita of 18- to 29-year olds) are related to more children entering foster care due to drinking-related concerns by a parent or caregiver (RR = 1.032, 95% CI = [1.013, 1.051]), but not total substantiations for foster care entries. Neighborhoods with higher total volume of alcohol per 18- to 29-year-olds had more foster care entries when we used number of substantiations as the denominator (RR = 1.012, 95% CI = [1.0001, 1.023]) but were not related to foster care entries with alcohol misuse as a concern as a subset of all foster care entries. CONCLUSIONS: Higher estimated volume of alcohol use per capita among young adults (aged 18 to 29) was related to more children entering foster care due to alcohol-related concerns. Reducing alcohol supply in alcohol outlets, specifically through off-premise establishments, might reduce rates for all entries into foster care or other out-of-home placement and substantiated child abuse and neglect.

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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.

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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.

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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.

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BACKGROUND AND AIMS: Retail alcohol outlets appear to open in neighborhoods with low land and structure rents near sources of demand; they may 'agglomerate', open near to one another or 'churn', replace one another, over time. We used the turnover in numbers of outlets over time to measure agglomeration and churning and the impacts of openings and closings of outlets on neighborhood crime. DESIGN: Interrupted quasi-experiments using spatial panel population data from 3768 synthetic block areas over 6 years. SETTING: City of Oakland, CA, USA. PARTICIPANTS: City population. MEASUREMENTS: Census-based socio-demographic estimates and counts of openings and closings of bars/pubs, restaurants and off-premises outlets related to assault, burglary and robbery crime incidents across synthetic Census blocks. Bayesian space-time models were used to assess agglomeration and churning and measure impacts of openings/closings on crime. FINDINGS: Churning was substantial; openings followed closings for all outlets [bars/pubs, relative risk (RR) = 50.9, 95% credible interval (CI) = 3.0-449.9; restaurants, RR = 3.1, CI = 1.5-6.1; off-premises, RR = 23.5, CI = 2.0-129.8]. Bars/pub and restaurant openings agglomerated with other outlets (e.g., RR = 1.02, CI = 1.00-1.03 and RR = 1.01, CI = 1.00-1.01), but off-premises outlets did not. Covarying out effects related to outlet densities, bar/pub openings were related to a 3.5% increase in assaults (RR = 1.04, CI = 1.01-1.06) and 6.9% increase in robberies (RR = 1.07, CI = 1.03-1.11). Restaurant openings were related to a 5.3% increase in burglaries (RR = 1.05, CI = 1.04-1.06). Openings and closings of off-premises outlets were unrelated to all three crime types. CONCLUSIONS: Retail alcohol outlets appear to follow a pattern of opening near to one another and replacing each other over time. Bar, pub and restaurant openings appear to be related to increases in neighborhood crime.

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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.

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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.

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INTRODUCTION: Research suggests there is an 'ethnic density effect' whereby racial/ethnic minority populations appear healthier when they reside in neighborhoods with greater numbers of people from the same ethnic group. The purpose of this study is to test whether this effect is observed for residents in Chinese enclaves (immigrant neighborhoods in urban areas) and ethnoburbs (immigrant neighborhoods in suburban areas) for measures on alcohol abuse and dependence. METHODS: ZIP code areas of California that represented Chinese enclaves and ethnoburbs were identified and mapped. Spatial regression models were used to compare neighborhood-level effects, including the ethnic density of Chinese enclaves and ethnoburbs on observed rates of alcohol-related hospitalizations compared to the rest of California. Analyses used Bayesian Space-Time Misalignment Poisson models on the annual number of alcohol-related hospitalizations per ZIP code for the years 2007-2011 (n = 8488 space-by-time units). RESULTS: Ethnic density effect appeared for residents of ZIP code areas with greater proportions of Chinese Americans (RR=0.986, 95% CI: 0.982, 0.990). After controlling for sociodemographic characteristics, residents of ZIP code areas representing Chinese enclaves had lower risks for alcohol-related hospitalizations (RR=0.766, 95% CI: 0.630, 0.927); hospitalizations among residents of Chinese ethnoburbs no longer differed from the rest of the state. Compared to Chinese enclaves, Chinese ethnoburbs had a lower poverty rate (p < .001), a greater English fluency rate (p = .002), and similar proportions of residents who were Chinese and foreign-born. CONCLUSION: Despite the socioeconomic advantages of living in Chinese ethnoburbs, populations living in these neighborhoods experience more problems related to alcohol abuse and dependence.

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OBJECTIVE: Alcohol privatization efforts have enabled consumers in many states in the United States to purchase alcohol in a variety of off-premise outlets, including grocery stores. This study examines the dual use of outlets to purchase both alcohol and groceries and the extent to which dual use is related to individual income, neighborhood income, and local physical availability of alcohol. METHOD: The East Bay Neighborhoods Study surveyed residents from 72 microecological neighborhoods across six cities in Alameda County, California. Eligible respondents who purchased alcohol in the last year (n = 707) were asked about the off-premise outlet in which they most often purchase alcohol. Purchasing behaviors within this outlet, including purchasing groceries and frequency of visits to the outlet, were assessed. Multilevel logistic regression and negative binomial models assessed outcomes. RESULTS: Seventy-three percent of participants reported dual use of their most used outlet for groceries and alcohol. In adjusted models, dual use of the outlet was not associated with individual income, alcohol use, or neighborhood outlet density but was positively associated with neighborhood income and the number of outlet visits. After adjustment, dual use of the most used outlet was associated with 0.77 more visits per 28 days. CONCLUSIONS: Results suggest that convenience and reduced time costs for purchasing alcohol encourage the dual use of outlets, particularly in high-income neighborhoods. Differences in the dual use of outlets and frequency in outlet use by neighborhood environments highlight the importance of understanding the role of alcohol availability in distinct neighborhood income and outlet-level contexts.

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BACKGROUND AND AIM: To inform the development of effective night-time preventive interventions, our goal was to assess adolescents' residence (i.e. being at) and transitions across contexts during evening hours and risks for drinking and drinking-related problems in relation to contexts and to these transitions. DESIGN: Ecological momentary assessment and survey methods. SETTING: Twelve mid-sized cities (50 000-500 000 population) in California, USA from December 2014 to September 2015. ANALYTICAL SAMPLE: A total of 153 adolescents (mean age = 16.4, 46.2% female). MEASUREMENT: Initial conditions (e.g. past-year heavy drinking, gender, best friend's approval of drinking); adolescents' residence (i.e. being at) and transitions between (a) their own homes, (b) others' homes and (c) public spaces (e.g. restaurants, parks, concert venues) at early, middle and late evening hours; drinking in these contexts at early, middle and late evening hours; and drinking-related problems across evening hours. FINDINGS: Risks for drinking were 23.5 times greater in others' homes (P < 0.01) and somewhat less in public spaces [odds ratio (OR) = 6.01, P < 0.01], compared with own home. Risks for problems in any evening time were elevated in relation to being in others' homes (OR = 2.37, P < 0.05) and public spaces (OR = 2.71, P < 0.01) versus at own home. Drinking in others' homes was related to 5.9 times increase in odds of transitioning back to own home (OR = 5.93, P < 0.05), 11.9 times increase in odds of remaining in others' homes (OR = 11.86, P < 0.01) or 7.3 times increase in odds of transitioning from others' homes to public spaces (OR = 7.3, P < 0.05). Initial conditions were associated with being in states, drinking and problems during evening hours and transitions across states. CONCLUSIONS: In California, adolescents who are older, female, Hispanic or have greater spending money may be more likely to be outside their own home during evening hours than adolescents who do not match those criteria. In turn, being outside one's home during evening hours appears to be related to greater risks for drinking and drinking-related problems. Finally, transitions between contexts increased differential risks for drinking such that, for example, drinking in others' homes was highly related to transitioning to public spaces and less to returning to own home.

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RATIONALE: In spring 2020, many states in the United States enacted stay-at-home orders to limit the spread of COVID-19 and lessen effects on hospitals and health care workers. This required parents to act in new roles without much support. Although studies have asked parents about stress before and during the pandemic, none have examined how stress may have fluctuated throughout the day and the characteristics related to those daily changes. OBJECTIVE: Our study assesses how time-varying (e.g., presence of a focal child) and day-varying (e.g., weekend vs. weekday) factors were related to parents' level of stress. METHODS: We use Ecological Momentary Assessment to examine stress three times a day (10 a.m., 3 p.m., and 9 p.m.) for 14 days. We include two different dates hypothesized to be related to parents' stress levels: (1) when Ohio announced schools would go virtual for the rest of the academic year and (2) when most retail businesses were allowed to re-open. Our sample of 332 individuals, recruited via Facebook, Craigslist, and word of mouth, completed 13,360 of these brief surveys during April-May 2020. Data were analyzed using generalized ordered logit models. RESULTS: Parents report lower levels of stress when completing the 9 p.m. survey, but higher levels when they were at work, during weekdays (compared to weekends) or when they were with the focal child. COVID-19 milestone dates were not related to stress levels. CONCLUSIONS: Parents need some form of respite (e.g. child care, child-only activities) to reduce stress, especially during the week when parents are juggling their outside employment and their child(ren)'s schooling. Providing parents with skills and tools to identify and reduce stress, such as apps monitoring heart rate or providing deep breathing techniques, may be one way of helping parents cope with extremely stressful situations.

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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.

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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.

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BACKGROUND: The rapid growth of opioid abuse and the related mortality across the United States has spurred the development of predictive models for the allocation of public health resources. These models should characterize heterogeneous growth across states using a drug epidemic framework that enables assessments of epidemic onset, rates of growth, and limited capacities for epidemic growth. METHODS: We used opioid overdose mortality data for 146 North and South Carolina counties from 2001 through 2014 to compare the retrodictive and predictive performance of a logistic growth model that parameterizes onsets, growth, and carrying capacity within a traditional Bayesian Poisson space-time model. RESULTS: In fitting the models to past data, the performance of the logistic growth model was superior to the standard Bayesian Poisson space-time model (deviance information criterion: 8,088 vs. 8,256), with reduced spatial and independent errors. Predictively, the logistic model more accurately estimated fatality rates 1, 2, and 3 years in the future (root mean squared error medians were lower for 95.7% of counties from 2012 to 2014). Capacity limits were higher in counties with greater population size, percent population age 45-64, and percent white population. Epidemic onset was associated with greater same-year and past-year incidence of overdose hospitalizations. CONCLUSION: Growth in annual rates of opioid fatalities was capacity limited, heterogeneous across counties, and spatially correlated, requiring spatial epidemic models for the accurate and reliable prediction of future outcomes related to opioid abuse. Indicators of risk are identifiable and can be used to predict future mortality outcomes.

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Population analyses of the correlates of neighborhood crime implicitly assume that a single spatial unit can be used to assess neighborhood effects. However, no single spatial unit may be suitable for analyses of the many social determinants of crime. Instead, effects may appear at multiple spatial resolutions, with some determinants acting broadly, others locally, and still others as some function of both global and local conditions. We provide a multiresolution spatial analysis that simultaneously examines US Census block, block group, and tract effects of alcohol outlets and drug markets on violent crimes in Oakland, California, incorporating spatial lag effects at the 2 smaller spatial resolutions. Using call data from the Oakland Police Department from 2010-2015, we examine associations of assaults, burglaries, and robberies with multiple resolutions of alcohol outlet types and compare the performance of single (block-level) models with that of multiresolution models. Multiresolution models performed better than the block models, reflected in improved deviance and Watanabe-Akaike information criteria and well-supported multiresolution associations. By considering multiple spatial scales and spatial lags in a Bayesian framework, researchers can explore multiresolution processes, providing more detailed tests of expectations from theoretical models and leading the way to more effective intervention efforts.

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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.

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