Space and Place in Alcohol Research

Neighborhood Factors as Correlates of Alcohol Use in the N2 Cohort Study of Black Sexually Minoritized Men and Transgender Women

Sexually minoritized men (SMM), transgender women (TW), and particularly Black SMM and Black TW may be disproportionately impacted by alcohol-related problems. Few studies have empirically examined neighborhood factors that may contribute to alcohol use, specifically among these populations. Using data from the N2 longitudinal cohort study in Chicago, IL, survey data from the second wave of longitudinal assessment (n = 126) and GPS mobility data from enrollment were used to evaluate neighborhood alcohol outlet availability, neighborhood disorder, and neighborhood poverty as correlates of individual alcohol use. Neighborhood exposures were measured using 200-m-derived activity space areas, created from GPS data, using publicly accessible geospatial contextual data. Separate multivariable quasi-poison regression models tested for association between neighborhood alcohol outlet density (AOD), measured separately for on-premise (e.g., bars) and off-premise consumption outlets (e.g., liquor stores), neighborhood poverty (defined as the percentage of neighborhood areas at 150% or greater of the US poverty line), exposure to vacant buildings, and neighborhood violent crime density. Separate analytical models found no significant effect between alcohol use and exposure to on-premise consumption venue AOD (risk ratio (RR) = 0.99, p = 0.57), off-premise consumption AOD (RR = 0.94, p = 0.56), neighborhood poverty (RR = 1.04, p = 0.07), or neighborhood violent crime (RR = 1.00, p = 0.94). Exposure to higher levels of vacant buildings (RR = 1.03, p = 0.04) was found to be significantly associated with increased alcohol use. Among this population, opposed to geospatial access, neighborhood measurements indicative of disorder may have a greater influence on shaping alcohol use.

Geofencing in location-based behavioral research: Methodology, challenges, and implementation

This manuscript presents a novel geofencing method in behavioral research. Geofencing, built upon geolocation technology, constitutes virtual fences around specific locations. Every time a participant crosses the virtual border around the geofenced area, an event can be triggered on a smartphone, e.g., the participant may be asked to complete a survey. The geofencing method can alleviate the problems of constant location tracking, such as recording sensitive geolocation information and battery drain. In scenarios where locations for geofencing are determined by participants (e.g., home, workplace), no location data need to be transferred to the researcher, so this method can ensure privacy and anonymity. Given the widespread use of smartphones and mobile Internet, geofencing has become a feasible tool in studying human behavior and cognition outside of the laboratory. The method can help advance theoretical and applied psychological science at a new frontier of context-aware research. At the same time, there is a lack of guidance on how and when geofencing can be applied in research. This manuscript aims to fill the gap and ease the adoption of the geofencing method. We describe the current challenges and implementations in geofencing and present three empirical studies in which we evaluated the geofencing method using the Samply application, a tool for mobile experience sampling research. The studies show that sensitivity and precision of geofencing were affected by the type of event, location radius, environment, operating system, and user behavior. Potential implications and recommendations for behavioral research are discussed.

Neighborhood Factors as Correlates of Alcohol Use in the N2 Cohort Study of Black Sexual Minority Men and Transgender Women

Sexually minoritized men (SMM), transgender women (TW), and particularly Black SMM and Black TW may be disproportionately impacted by alcohol-related problems. Few studies have empirically examined neighborhood factors that may contribute to alcohol use, specifically among these populations. Using data from the N2 longitudinal cohort study in Chicago, IL, survey data from the second wave of longitudinal assessment (n = 126), and GPS mobility data collected during study enrollment were used to evaluate neighborhood alcohol outlet availability, neighborhood disorder, and neighborhood poverty as correlates for individual alcohol use. Neighborhood exposures were measured using 200-m derived activity space areas, created from GPS data, and with publicly accessible geospatial contextual data. Separate multi-variable quasi-poison regression models tested for association between neighborhood alcohol outlet density (AOD), measured separately for on-premise (e.g. bars) and off-premise consumption outlets (e.g. liquor stores), neighborhood poverty (defined as the percentage of neighborhood areas at 150% or greater of the U.S. poverty line), exposure to vacant buildings, and neighborhood violent crime density. Separate analytical models found no significant effect between alcohol use and on-premise neighborhood AOD (IRR = 0.99, p = 0.35), off-premise consumption AOD (IRR = 0.92, p = 0.33), or neighborhood violent crime (IRR = 1.00, p = 0.65). Vacant buildings (IRR = 1.03, p = 0.05) and levels of neighborhood poverty (1.05, p = 0.01) were found to be significantly associated with increased alcohol use. Among this population, opposed to geospatial access, neighborhood measurements indicative of disorder and poverty may have greater influence on shaping alcohol use.

Relationship between characteristics of large national regions and individual alcohol consumption: a scoping review

OBJECTIVE

The goal of our article was to systematise studies that investigated the impact of living conditions in large national regions on individual alcohol consumption.

METHODS

The objectives of the scoping review, the criteria and methods for selecting articles were defined in advance and recorded in the protocol PROSPERO CRD42021234874. We sought publications on the research topic in PubMed, Google Scholar, OpenGrey, Crossref and eLibrary databases from the moment they were created until December 31, 2021. The final sample included 81 publications.

RESULTS

The majority of ultimately selected papers were published after 2010 (62 articles), represented the USA (68 articles), and considered samples of children and youths, either the younger population or the general adult population (65 articles). High quality was characteristic for 19 studies, whereas satisfactory quality was exhibited by 46 publications. The most consistent associations with individual alcohol consumption were revealed for the legislative environment (especially for integral scales and indices), alcohol pricing policy, the prevalence of alcohol consumption and binge drinking in the population, and unemployment rate.

CONCLUSION

The review made it possible to systematise the results of studies on the impact of the characteristics of large national regions on alcohol consumption, including a description of these characteristics and results, samples and designs of studies, their quality, as well as to summarise the results of these studies.

Using Online Crowdsourced Data to Measure the Availability of Cannabis Home Delivery: A Pilot Study

OBJECTIVE

The growing availability of cannabis products through home delivery services may affect cannabis-related health outcomes. However, research is impeded by a lack of data measuring the scale of home delivery. Prior research demonstrated that crowdsourced websites can be used to validly enumerate brick-and-mortar cannabis outlets. We piloted an extension of this method to explore the feasibility of measuring availability of cannabis home delivery.

METHOD

We tested implementation of an automated algorithm designed to webscrape data from Weedmaps, the largest crowdsourced website for cannabis retail, to count the number of legal cannabis retailers offering home delivery to the geographic centroid of each Census block group in California. We compared these estimates to the number of brick-and-mortar outlets within each block group. To assess data quality, we conducted follow-up telephone interviews with a subsample of cannabis delivery retailers.

RESULTS

We successfully implemented the webscraping. Of the 23,212 block groups assessed, 22,542 (97%) were served by at least one cannabis delivery business. Only 461 block groups (2%) contained one or more brick-and-mortar outlets. In interviews, availability varied dynamically as a function of staffing levels, order sizes, time of day, competition, and demand.

CONCLUSIONS

Webscraping crowdsourced websites could be a viable method for quantifying rapidly evolving availability of cannabis home delivery. However, key practical and conceptual challenges must be overcome to conduct a full-scale validation and develop methodological standards. Acknowledging data limitations, cannabis home delivery appears to be nearly universal in California, whereas availability of brick-and-mortar outlets is limited, underscoring the need for research on home delivery.

Neighborhood Disadvantage, Patterns of Unhealthy Alcohol Use, and Differential Associations by Gender, Race/Ethnicity, and Rurality: A Study of Veterans Health Administration Patients

OBJECTIVE

Stressful conditions within disadvantaged neighborhoods may shape unhealthy alcohol use and related harms. Yet, associations between neighborhood disadvantage and more severe unhealthy alcohol use are underexplored, particularly for subpopulations. Among national Veterans Health Administration (VA) patients (2013-2017), we assessed associations between neighborhood disadvantage and multiple alcohol-related outcomes and examined moderation by sociodemographic factors.

METHOD

Electronic health record data were extracted for VA patients with a routine Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) screen. Patient addresses were linked by census block group to the Area Deprivation Index (ADI), dichotomized at the 85th percentile, and examined in quintiles for sensitivity analyses. Using modified Poisson generalized estimating equations models, we estimated associations between neighborhood disadvantage and five outcomes: unhealthy alcohol use (AUDIT-C ≥ 5), any past-year heavy episodic drinking (HED), severe unhealthy alcohol use (AUDIT-C ≥ 8), alcohol use disorder (AUD) diagnosis, and alcohol-specific conditions diagnoses. Moderation by gender, race/ethnicity, and rurality was tested using multiplicative interaction.

RESULTS

Among 6,381,033 patients, residence in a highly disadvantaged neighborhood (ADI ≥ 85th percentile) was associated with a higher likelihood of unhealthy alcohol use (prevalence ratio [PR] = 1.06, 95% CI [1.05, 1.07]), severe unhealthy alcohol use (PR = 1.14, 95% CI [1.12, 1.15]), HED (PR = 1.04, 95% CI [1.03, 1.05]), AUD (PR = 1.14, 95% CI [1.13, 1.15]), and alcohol-specific conditions (PR = 1.21, 95% CI [1.18, 1.24]). Associations were larger for Black and American Indian/Alaska Native patients compared with White patients and for urban compared with rural patients. There was mixed evidence of moderation by gender.

CONCLUSIONS

Neighborhood disadvantage may play a role in unhealthy alcohol use in VA patients, particularly those of marginalized racialized groups and those residing in urban areas.

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.

Changes in activity locations during the COVID-19 pandemic and associations with depression, anxiety, loneliness, and alcohol use

INTRODUCTION

Restrictions and guidelines to limit the spread of COVID-19 caused considerable and rapid changes to individuals' daily routines. This study examines how activity locations changed during the COVID-19 pandemic and associated social distancing restrictions, and whether these changes were associated with depression, anxiety, loneliness, and alcohol use.

METHODS

A web-based survey was conducted early in the COVID-19 pandemic (May-June 2020) in Allegheny County (Pittsburgh), Pennsylvania. Participants (n = 265) reported visits to activity locations in the last 30 days and retrospectively for February 2020 (pre-pandemic). A principal components analysis was conducted to assess change in utilization of activity locations. Component scores of changes to activity locations were compared by sociodemographics. Poisson and zero-inflated negative binomial models were used to examine the relationship between component scores and pandemic depression symptoms, anxiety symptoms, loneliness, and drinking days.

RESULTS

Five distinct principal components of activity location changes were identified. The first component, characterizing broad reductions in activity locations during the early phases of the pandemic, was associated with increased depression and loneliness.

CONCLUSIONS

Results indicate non-uniform shifts in routine activities during the pandemic and highlight the importance of understanding how changes to the social environment affect individuals' psychological wellbeing and alcohol use.

'When I open it, I have to drink it all': Push and pull factors shaping domestic alcohol consumption during the COVID-19 pandemic UK Spring 2020 lockdown

Introduction

The closure of licensed venues during the COVID‐19 pandemic meant that most alcohol has been consumed at home during lockdown periods in the UK, a phenomenon that remains under‐researched despite the public health implications.

Methods

This article draws on a study consisting of online semi‐structured interviews and focus groups with 20 UK drinkers, conducted between the first and second 2020 UK lockdowns. The study aimed to explore changing and enduring UK drinking practices within home spaces during the pandemic.

Results

Our findings illuminate specific ways in which assemblages and contextual factors may come together to encourage or mitigate against the consumption of any (or excessive) volumes of alcohol at home during the lockdown. For example, the physical presence of alcohol bottles may both encourage consumption (e.g. compulsion to finish an open bottle of wine) and cue reflection on one's drinking (through the potentially confronting presence of empty bottles after domestic drinking). We also highlight the significance of the home as a space separate from—and different to—public drinking spaces.

Discussion and Conclusions

With the increasing normalisation of domestic drinking during a global pandemic, this paper illuminates several factors that may encourage or curtail domestic alcohol consumption and invites us to consider the importance of assemblages, space and context. Such findings have wider applicability; for example, consideration of specific (and perhaps unique) push and pull factors of home spaces could inform future alcohol policy, health promotion messages and how guidance around ‘moderation’ or risky drinking is communicated.

Microecological Relationships Between Area Income, Off-Premise Alcohol Outlet Density, Drinking Patterns, and Alcohol Use Disorders: The East Bay Neighborhoods Study

BACKGROUND

Distinguishing the impacts of neighborhood income and off-premise alcohol outlet density on alcohol use has proven difficult, particularly given the conflation of these measures across neighborhood areas. We explicitly test for differential effects related to individual and area income and outlet densities on alcohol use and alcohol use disorders (AUDs) by implementing a stratified microecological sample.

METHODS

The East Bay Neighborhoods Study included a survey of 984 residents of 72 microenvironments within a geographically contiguous 6-city area in California and Systematic social observations of each site. The sites included 18 areas in each of 4 strata (high/low median household income and off-premise outlet density). We assessed 4 outcomes: 28-day drinking frequency, average quantity of alcohol consumed per drinking occasion, 28-day drinking volume, and Alcohol Use Disorders Identification Test (AUDIT) score. We used zero-inflated negative binomial regression with standard errors adjusted for site clusters to relate drinking measures to individual-level age, race/ethnicity, gender, marital status, education, and income, and neighborhood indicators of site strata, physical disorder, and physical decay. An interaction term was tested representing site-level by individual-level income.

RESULTS

Living in a high-income site, regardless of off-premise alcohol outlet density, was associated with more frequent drinking and higher alcohol dependence/problems. Both individual-level income and site-level income were related to greater frequencies of use, but lower income drinkers in high-income areas drank more than comparable drinkers in low-income areas. Study participants living in high-density off-premise alcohol outlet sites drank less frequently but did not differ in terms of either AUDIT scores or heavy drinking from participants living in low-density sites.

CONCLUSIONS

Using a stratified microecological sampling design, we were able to directly assess statistical associations of off-premise outlet density and neighborhood median household income with patterns of drinking and AUDs. Caution should be used interpreting prior study findings linking off-premise outlet densities to drinking.

Within- and between-person associations of neighborhood poverty with alcohol use and consequences: A monthly study of young adults

BACKGROUND

Studies have shown associations between neighborhood disadvantage and alcohol misuse among adults. Less is known about the role of neighborhood context in young adults (YAs), who engage in more disordered forms of alcohol use compared to other age groups. Using data collected monthly, this study examined whether YAs reported more alcohol use and consequences when they were living in neighborhoods with greater concentration of poverty.

METHOD

This study used data from 746 participants aged 18-23 years living in the Seattle, WA, region. Surveys were administered each month for 24 consecutive months. Measures included typical number of drinks per week and past month count of alcohol-related consequences. Residential addresses at each month were geocoded and linked to census-tract level percentage of households living at or below poverty threshold. Multilevel over-dispersed Poisson models were used to estimate associations between standardized monthly deviations in tract-level poverty from one's average and alcohol outcomes.

RESULTS

Across 14,247 monthly observations, the mean number of typical drinks per week was 4.8 (SD = 7.4) and the mean number of alcohol consequences was 2.1 (SD = 3.5). On months when they were living in neighborhoods with higher levels of poverty than their average, participants reported significantly higher levels of alcohol consequences (Count Ratio = 1.05; p = .045).

CONCLUSION

YAs may engage in more problematic forms of drinking when they reside in neighborhoods with higher levels of disadvantage. During a time of frequent residential changes, YAs moving to more disadvantaged neighborhoods may benefit from additional supports.

Structural racism in the built environment: Segregation and the overconcentration of alcohol outlets

Structural racism, evidenced in practices like residential racial segregation, has been linked to health inequities. We examined the relationship between an adverse environmental factor (alcohol outlet overconcentration), segregated neighborhoods, and county alcohol policy in Louisiana and Alabama to investigate this link. Multilevel analysis revealed high outlet density associated with segregated counties and predominantly black census tracts in counties with restrictive alcohol policy. This inverse association between policies designed to limit alcohol availability and overconcentration of outlets in black neighborhoods warrants consideration by policymakers given links between outlet density and health inequities. Consideration of these findings in historical context suggests these policies may function as a contemporary actualization of the historical use of alcohol policy to subjugate black people in the South, now over-concentrating instead of prohibiting access.