Mental health and economic stressors associated with high-risk drinking and increased alcohol consumption early in the COVID-19 pandemic in the United States.

Physical distancing measures to curb COVID-19 transmission introduced mental health and economic stressors, possibly impacting problematic drinking. This cross-sectional study examines mental health and economic stressors early in the COVID-19 pandemic which may be associated with heavy alcohol use and increased alcohol use. We administered an online survey of U.S. adults via social media April 5 to May 5, 2020. High-risk drinking was defined by WHO risk drinking levels, a daily average of ≥4 drinks for men and ≥3 drinks for women. Participants reported retrospective assessments of increased alcohol use if their past-week alcohol consumption exceeded their past-year average weekly alcohol consumption. We used logistic regression to assess possible covariates of high-risk drinking and increased alcohol use. Among 2175 participants, 10% (n = 222) reported high-risk drinking, and 36% (n = 775) reported increased alcohol consumption. In multivariable analysis, high-risk drinking was significantly associated with household job loss (OR = 1.41, 95%CI = (1.06, 1.88)) and depressive symptoms (OR = 1.05, 95% CI = (1.02, 1.07)), and women had higher odds of high-risk drinking than men (OR = 2.37, 95% CI = (1.32, 4.69)). Previous mental health diagnosis was not significantly associated with high-risk drinking during the pandemic (OR = 1.31, 95% CI = (0.98, 1.76)) in univariable analysis. High-risk drinkers were almost six times as likely to report retrospective assessments of increased alcohol consumption, controlling for mental health and economic stressors (OR = 5.97, 95% CI = (4.35, 8.32)). Findings suggest a need for targeted interventions to address the complex mental health and economic stressors that may increase alcohol consumption and high-risk drinking during and after the pandemic.

Using Zoning as a Public Health Tool to Reduce Alcohol Outlet Oversaturation, Promote Compliance, and Guide Future Enforcement: a Preliminary Analysis of Transform Baltimore.

Alcohol outlet oversaturation often exacerbates negative public health outcomes. Recently, Baltimore City passed an extensive zoning rewrite ("TransForm Baltimore") that sought to give local government and residents a tool to reduce alcohol outlet oversaturation through land use regulation. The present investigation evaluated the outlet and neighborhood characteristics of stores impacted by two components of TransForm Baltimore: (1) a requirement that taverns licensed for on-premise consumption in addition to off-premise, carryout sales generate at least 50% of their business from on-premise sales, and (2) a requirement to close, repurpose, or relocate all package stores (i.e., off-premise alcohol outlets) that have been operating as "non-conforming" in residential zones since 1971. Research assistants visited every off-premise alcohol outlet in the city (n = 685) to complete an observational assessment. Approximately 77% (n = 530) of these off-premise alcohol outlets were open, including 292 taverns and 238 package stores. t tests and chi-square tests were used to compare neighborhood characteristics (neighborhood disadvantage, median household income, and racial segregation) of sham taverns (i.e., taverns with less than 50% space dedicated for on-premise sales that were primarily operating as a package store) and non-conforming package stores. Of the 292 taverns accessible during the study, the remainder were chronically closed (n = 130); 24 (8.2%) were deemed sham taverns. Sham taverns were more likely to be located in communities with more economic disadvantage and lower median household income (t test; p < 0.05). Compared to taverns, a lower proportion of sham taverns had visible dance floor space, patrons drinking, and menus available (chi-square test; p < 0.001). There were 80 residentially zoned, non-conforming alcohol outlets. These non-conforming alcohol outlets were disproportionately distributed in predominately poor and African American communities (t test; p < 0.05). As compared to conforming alcohol outlets, more non-conforming alcohol outlets sold sex paraphernalia and healthy foods (chi-square test; p < 0.05). With active enforcement, TransForm Baltimore offers the opportunity for local government and residents to improve public health and increase health equity in vulnerable and marginalized neighborhoods.

Expanding Tools for Investigating Neighborhood Indicators of Drug Use and Violence: Validation of the NIfETy for Virtual Street Observation.

A growing body of evidence suggests that characteristics of the neighborhood environment in urban areas significantly impact risk for drug use behavior and exposure to violent crime. Identifying areas of community need, prioritizing planning projects, and developing strategies for community improvement require inexpensive, easy to use, evidence-based tools to assess neighborhood disorder that can be used for a variety of research, urban planning, and community needs with an environmental justice frame. This study describes validation of the Neighborhood Inventory for Environmental Typology (NIfETy), a neighborhood environmental observational assessment tool designed to assess characteristics of the neighborhood environment related to violence, alcohol, and other drugs, for use with Google Street View (GSV). GSV data collection took place on a random sample of 350 blocks located throughout Baltimore City, Maryland, which had previously been assessed through in-person data collection. Inter-rater reliability metrics were strong for the majority of items (ICC ≥ 0.7), and items were highly correlated with in-person observations (r ≥ 0.6). Exploratory factor analysis and constrained factor analysis resulted in one, 14-item disorder scale with high internal consistency (alpha = 0.825) and acceptable fit indices (CFI = 0.982; RMSEA = 0.051). We further validated this disorder scale against locations of violent crimes, and we found that disorder score was significantly and positively associated with neighborhood crime (IRR = 1.221, 95% CI = (1.157, 1.288), p < 0.001). The NIfETy provides a valid, economical, and efficient tool for assessing modifiable neighborhood risk factors for drug use and violence prevention that can be employed for a variety of research, urban planning, and community needs.

Knowledge and Beliefs About Pedestrian Safety in an Urban Community: Implications for Promoting Safe Walking.

As more people walk for transport and exercise, it is possible to avoid a concomitant increase in the number of pedestrian injuries. Understanding how the public views pedestrian safety can help inform the development of prevention strategies that support national efforts to promote walking and walkable communities. As part of the formative research for a community pedestrian safety health promotion campaign, we administered an online questionnaire to employees and students at a large urban medical campus, along with residents in the neighboring communities, to determine their knowledge, attitudes, and behavior regarding pedestrian safety; awareness of relevant traffic safety laws; and effective strategies that could improve pedestrian safety. Pearson Chi square Test of Independence was used to investigate differences between individuals who mainly traveled as drivers versus those who mainly traveled as pedestrians. Statistical significance was established at p < .05. A total of 3808 adults completed the online survey. More drivers than pedestrians reported that pedestrian safety was an important problem (73 and 64%, respectively; p < .001). A large proportion of respondents incorrectly reported the existing state laws addressing right of way, fines, and enforcement, with significant differences between drivers and pedestrians (p < .001). Significantly more pedestrians than drivers supported changing traffic signals to increase crossing time (p = .001), while more drivers than pedestrians supported creating structures to prevent midblock crossing (p = .003). Effective interventions to improve pedestrian safety need to tailor messages for both drivers and pedestrians, increase awareness of the laws, and implement comprehensive strategies.

Novel Methods for Environmental Assessment of Pedestrian Injury: Creation and Validation of the Inventory for Pedestrian Safety Infrastructure.

Nationally, 80% of pedestrian fatalities occur in urban environments, yet the distribution of injuries across urban areas is not uniform. Identifying street-level risk factors for pedestrian injury is essential for urban planning and improvement projects, as well as targeted injury prevention efforts. However, creating and maintaining a comprehensive database of a city's traffic safety infrastructure can be cumbersome and costly. The purpose of this study was to create and validate a neighborhood environmental observational assessment tool to capture evidence-based pedestrian safety infrastructure using Google Street View (GSV)-The Inventory for Pedestrian Safety Infrastructure (IPSI). We collected measures in-person at 172 liquor stores in Baltimore City from June to August 2015 to assess the tool's reliability; we then collected IPSI measures at the same 172 locations using GSV from February to March 2016 to assess IPSI reliability using GSV. The majority of items had good or excellent levels of inter-rater reliability (ICC ≥ 0.8), with intersection features showing the highest agreement across raters. Two scales were also developed using exploratory factor analysis, and both showed strong internal consistency (Cronbach's alpha ≥ 0.6). The IPSI provides a valid, economically efficient tool for assessing pedestrian safety infrastructure that can be employed for a variety of research and urban planning needs. It can also be used for in-person or GSV observation. Reliable and valid measurement of pedestrian safety infrastructure is essential to effectively prevent future pedestrian injuries.

Not in My Back Yard: A Comparative Analysis of Crime Around Publicly Funded Drug Treatment Centers, Liquor Stores, Convenience Stores, and Corner Stores in One Mid-Atlantic City.

OBJECTIVE: This research examined whether publicly funded drug treatment centers (DTCs) were associated with violent crime in excess of the violence happening around other commercial businesses. METHOD: Violent crime data and locations of community entities were geocoded and mapped. DTCs and other retail outlets were matched based on a Neighborhood Disadvantage score at the census tract level. Street network buffers ranging from 100 to 1,400 feet were placed around each location. Negative binomial regression models were used to estimate the relationship between the count of violent crimes and the distance from each business type. RESULTS: Compared with the mean count of violent crime around drug treatment centers, the mean count of violent crime (M = 2.87) was significantly higher around liquor stores (M = 3.98; t test; p < .01) and corner stores (M = 3.78; t test; p < .01), and there was no statistically significant difference between the count around convenience stores (M = 2.65; t test; p = .32). In the adjusted negative binomial regression models, there was a negative and significant relationship between the count of violent crime and the distance from drug treatment centers (ß = -.069, p < .01), liquor stores (ß = -.081, p < .01), corner stores (ß = -.116, p < .01), and convenience stores (ß = -.154, p < .01). CONCLUSIONS: Violent crime associated with drug treatment centers is similar to that associated with liquor stores and is less frequent than that associated with convenience stores and corner stores.

Evaluating Nighttime Observational Measures of Neighborhood Disorder: Validity of the Nighttime NIfETy Assessment.

While there are a growing number of observational instruments to assess the built and social dimensions of the neighborhood environment, there are few reliable and validated instruments; there are no instruments that assess the neighborhood environment during nighttime hours, a potential peak period of health and safety risk. The purpose of this investigation is to establish the metric properties of Neighborhood Inventory for Environmental Typology (NIfETy) Instrument nighttime ratings. Reliability of the scale was measured by internal consistency reliability and test re-test correlation. Validity was evaluated through correlation with the daytime NIfETy rating and regression models with local violent crime data. The nighttime items had good internal consistency (α = .81-82) for the total scale and acceptable internal consistency for a seven-item nighttime disorder scale (α = .66-.71). Future investigations will examine the nighttime NIfETy and its association with specific risk behaviors to evaluate changes in neighborhood environment.