Neighborhood and Individual Disparities in Community-Based Naloxone Access for Opioid Overdose Prevention.

Improving access to naloxone for laypersons is a cornerstone of the US strategy to reduce opioid overdose deaths. This study evaluated change in distance to opioid overdose prevention programs (OOPPs) providing walk-in naloxone across two time points. We also explored individual and neighborhood disparities in distance to OOPPs, associations between 2020 OOPP locations and 2018 overdoses, and associations between OOPPs and neighborhood fatal overdose rates. Using fatal opioid overdose locations in 2018 (n = 1167) and 2020 (n = 2045) in New York City, we mapped OOPP locations and fatal overdose locations to visualize areas of unmet naloxone need. We used logistic regression to assess individual (age, sex, race/ethnicity) and neighborhood correlates of odds of an overdose occurring within walking distance (≤ 0.5 miles or 0.8 km) of an OOPP and negative binomial regression to assess the relationship between census tract-level OOPP counts and overdose rates. Distance to OOPPs significantly improved over time, with average distance decreasing by 1.7 miles (2.7 km) (p < 0.001). OOPPs were more likely to be located in neighborhoods with higher poverty in both years and in closer proximity to Latinos in 2020-suggesting improved access for Latinos and in higher poverty neighborhoods. OOPP locations in 2020 were significantly positively associated with overdose locations in 2018. OOPPs were not well-situated in neighborhoods with elevated overdose rates in 2018 but were better situated in 2020, controlling for other neighborhood variables. Community lay naloxone access through OOPPs improved over time and could have promising effects for improved overdose rates in the future.

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.

Addressing the critical need for long-term mental health data during the COVID-19 pandemic: Changes in mental health from April to September 2020.

Despite the large amounts of research currently being conducted and the high number of editorials warning about the potential mental health impacts, there is a stunning lack of longitudinal mental health data on the effects of the pandemic. Yet, the pandemic may have sizable long-term impacts on psychological distress and health behaviors-these effects may be long-lasting and may disproportionately affect some demographic groups more than others. Data came from a longitudinal international study of the impacts of the COVID-19 pandemic on adults' psychological distress and wellbeing (N = 1567). We found high rates of depression (55% were diagnosable with probable depression at baseline), anxiety (65%), and risk for PTSD (51%). More than one-third of participants who reported that they drank alcohol indicated that their drinking had increased since the start of the pandemic. Over time, depressive symptoms and suicidal thoughts and behaviors increased significantly, but acute stress symptoms decreased. Specific demographic groups (people of color and sexual and gender minorities) appeared to be at high risk of distress across analyses. Our findings suggest high rates of depression, anxiety, acute stress, and other signs of distress like isolation, hopelessness, and use of substances to cope-even at five-month follow-up. Our findings suggest a need to prioritize availability of, and access to, mental health care during both the pandemic and the recovery.

The Geographic Distribution of Fentanyl-Involved Overdose Deaths in Cook County, Illinois.

Objectives. To contrast the geographic distribution of fentanyl-involved and non-fentanyl-involved fatal overdoses between 2014 and 2018 in Cook County, Illinois.Methods. We conducted a spatial analysis using locations of fentanyl-involved fatal overdoses (n = 1433) compared with nonfentanyl opioid and polydrug fatal overdoses (n = 1838) collected through the Cook County Medical Examiner's Office from 2014 to 2018. We also used logistic regression to test significant individual- and neighborhood-level covariates.Results. Fentanyl overdoses geographically clustered more than nonfentanyl overdoses, and this difference was statistically significant. One area in particular showed significantly elevated risk for fentanyl overdoses (P < .05) located in 2 specific neighborhoods of Chicago. The odds of a fentanyl-involved overdose were significantly increased for men, Blacks, Latinos/as, and younger individuals. Neighborhood deprivation score was the only significant neighborhood-level predictor (odds ratio = 1.11; 95% confidence interval = 1.07, 1.17).Conclusions. Fentanyl-involved fatal overdoses follow a distinct geographic distribution associated with resource deprivation in neighborhoods where they occur. This suggests an evolving bifurcated drug market, with drug markets in resource-deprived neighborhoods disproportionately likely to include fentanyl.

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.

Neighbourhood alcohol environment and injury risk: a spatial analysis of pedestrian injury in Baltimore City.

OBJECTIVES: The purpose of this study was to investigate the contribution of neighbourhood disorder around alcohol outlets to pedestrian injury risk. METHODS: A spatial analysis was conducted on census block groups in Baltimore City. Data included pedestrian injury EMS records from 1 January 2014 to 15 April 2015 (n=858), off-premise alcohol outlet locations for 2014 (n=693) and neighbourhood disorder indicators and demographics. Negative binomial regression models were used to determine the relationship between alcohol outlet count and pedestrian injuries at the block group level, controlling for other neighbourhood factors. Attributable risk was calculated by comparing the total population count per census block group to the injured pedestrian count. RESULTS: Each one-unit increase in the number of alcohol outlets was associated with a 14.2% (95% CI 1.099 to 1.192, P<0.001) increase in the RR of neighbourhood pedestrian injury, adjusting for traffic volume, pedestrian volume, population density, per cent of vacant lots and median household income. The attributable risk was 10.4% (95% CI 7.7 to 12.7) or 88 extra injuries. Vacant lots was the only significant neighbourhood disorder indicator in the final adjusted model (RR=1.016, 95% CI 1.007 to 1.026, P=0.003). Vacant lots have not been previously investigated as possible risk factors for pedestrian injury. CONCLUSIONS: This study identifies modifiable risk factors for pedestrian injury previously unexplored in the literature and may provide evidence for alcohol control strategies (eg, liquor store licencing, zoning and enforcement).

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.

Understanding the relationship between alcohol outlet density and life expectancy in Baltimore City: The role of community violence and community disadvantage.

This research investigated the relationship between alcohol outlet density (AOD) and life expectancy, as mediated by community violence and community disadvantage. We used linear regression models to assess bivariate and multivariate relationships. There was a negative bivariate association between liquor store density and average life expectancy (ß = -7.3370, p < 0.001). This relationship was partially attenuated when controlling for community disadvantage and fully attenuated when controlling for community violence. Bars/taverns (i.e., on-premise) were not associated with average life expectancy (ß = -0.589, p = 0.220). Liquor store density is associated with higher levels of community disadvantage and higher rates of violence, both of which are associated with lower life expectancies. Future research, potential intervention, and current related policies are discussed.

Alcohol Outlets, Neighborhood Retail Environments, and Pedestrian Injury Risk.

BACKGROUND: Alcohol outlet density has been associated with increased pedestrian injury risk. It is unclear whether this is because alcohol outlets are located in dense retail areas with heavy pedestrian traffic or whether alcohol outlets contribute a unique neighborhood risk. We aimed to compare the pedestrian injury rate around alcohol outlets to the rate around other, similar retail outlets that do not sell alcohol. METHODS: A spatial analysis was conducted on census block groups in Baltimore City. Data included pedestrian injury emergency medical services (EMS) records from January 1, 2014 to April 15, 2015 (n = 848); locations of alcohol outlets licensed for off-premise (n = 726) and on-premise consumption (n = 531); and corner (n = 398) and convenience stores (n = 192) that do not sell alcohol. Negative binomial regression was used to determine the relationship between retail outlet count and pedestrian injuries, controlling for key confounding variables. Spatial autocorrelation was also assessed and variable selection adjusted accordingly. RESULTS: Each additional off-premise alcohol outlet was associated with a 12.3% increase in the rate of neighborhood pedestrian injury when controlling for convenience and corner stores and other confounders (incidence rate ratio [IRR] = 1.123, 95% confidence interval [CI] = 1.065, 1.184, p < 0.001). The attributable risk was 4.9% (95% CI = 0.3, 8.9) or 41 additional injuries. On-premise alcohol outlets were not significant predictors of neighborhood pedestrian injury rate in multivariable models (IRR = 0.972, 95% CI = 0.940, 1.004, p = 0.194). CONCLUSIONS: Off-premise alcohol outlets are associated with pedestrian injury rate, even when controlling for other types of retail outlets. Findings reinforce the importance of alcohol outlets in understanding neighborhood pedestrian injury risk and may provide evidence for informing policy on liquor store licensing, zoning, and enforcement.

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.

Time-to-Treatment for Myocardial Infarction: Barriers and Facilitators Perceived by American Indians in Three Regions.

Early recognition of acute myocardial infarction (MI), followed by prompt emergency care, improves patient outcomes. Among rural American Indian (AI) populations there are disparities in access to care for MI and processes of care, resulting in poor MI-related health outcomes compared to the general population. We sought to gain an understanding of barriers related to MI time-to-treatment delays using a qualitative approach. We conducted semi-structured interviews and focus groups with AI key informants and community members in three Indian Health Service regions. Major barriers to care included long travel distance to care and lack of supporting infrastructure; distrust of the health care system; low overall literacy and basic health literacy; priority of family care-giving; and lack of specialized medical facilities and specialists. Findings suggest that improved time-to-treatment facilitators include educating the local community about the causes and consequences of MI and culturally-sensitive health communication, as well as addressing the quality of local systems of care and the community's perception of these systems. Pursuing these strategies may improve quality of care and reduce MI-related morbidity and mortality in rural AI populations.

Tobacco policies and on-premise smoking in bars and clubs that cater to young African Americans following the Maryland Clean Indoor Air Act of 2007.

African American young adults ages 18-25 smoke less than their Caucasian peers, yet the burden of tobacco-related illness is significantly higher in African Americans than in Caucasians across the lifespan. Little is known about how clean indoor air laws affect tobacco smoking among African American young adults. We conducted a systematic observation of bars and clubs with events targeted to African American adults 18-25 in Baltimore City at two timepoints (October and November of 2008 and 2010) after enforcement of the Maryland Clean Indoor Air Act (CIAA). Twenty venues-selected on the basis of youth reports of popular venues-were rated during peak hours. All surveillance checklist items were restricted to what was observable in the public domain. There was a significant decrease in observed indoor smoking after CIAA enforcement. Observed outdoor smoking also decreased, but this change was not significant. Facilities for smoking outdoors increased significantly. The statewide smoking ban became effective February 1, 2008, yet measurable changes in smoking behavior in bars were not evident until the City engaged in stringent enforcement of the ban several months later.

Development of a systematic social observation tool for monitoring use of harm reduction supplies.

BACKGROUND: Harm reduction services such as safer injection supply distribution are essential to reducing morbidity and mortality among people who use drugs (PWUD); however, local use of harm reduction supplies (e.g., tourniquets, saline solution) is difficult to routinely and systematically monitor. The purpose of this study was to develop and validate a systematic social observation tool designed to assess use of harm reduction supplies at the street block level. METHODS: Data collection took place on a random sample of 150 blocks located throughout the Kensington neighborhood of North Philadelphia from November 2021 to January 2022. We measured inter-rater reliability by two-way mixed-effects intra-class correlation coefficients (ICC) with the consistency agreement definition and internal consistency reliability using Cronbach's alpha and McDonald's omega. Exploratory factor analysis with principal component extraction and promax rotation assessed internal consistency. We validated scales against locations of public syringe disposal boxes, a proxy measure for areas of concentrated drug use, using logistic regression. RESULTS: Naloxone canisters, syringe caps, saline and sterile water solution bottles showed the highest reliability (ICC≥0.7). Items also showed high internal consistency (alpha, omega>0.7). Exploratory factor analysis identified one, three-item scale with high internal consistency: syringe caps, vials, and baggies (alpha = 0.85; omega = 0.85)-all supplies used concurrently with drug injection but not discarded in syringe disposal boxes. Drug use (OR = 1.78, 95 % CI = (1.48, 2.23)), harm reduction (OR = 3.53, 95 % CI = (2.20, 6.12)), and EFA scales (OR = 1.85, 95 %CI = (1.51, 2.34)) were significantly and positively associated with being within walking distance (≤0.25 miles or 0.4 km) of a syringe disposal box. CONCLUSION: This study provides an efficient tool with high reliability and validity metrics to assess community uptake of harm reduction supplies designed for use by community organizations, policy makers, or other groups providing resources to PWUD.

Associations between relative deprivation with opioid use among working-age adults during the great recession.

Recessions, poverty, and unemployment have been associated with opioid use. However, these measures of financial hardship may be imprecise, limiting our ability to understand this relationship. We tested associations between relative deprivation and non-medical prescription opioid use (NMPOU) and heroin use among working-age adults (ages 18-64) during the Great Recession. Our sample included working-age adults in the 2005-2013 United States National Survey of Drug Use and Health (n = 320,186). Relative deprivation compared the lowest limit of participants' income category to the national 25th percentile individual income for people with similar socio-demographic characteristics (race and ethnicity, gender, year). We distinguished the period before (1/2005-11/2007), during (12/2007-06/2009), and after (07/2007-12/2013) the Great Recession. We estimated odds of past-year NMPOU and heroin use for each past-year exposure (i.e., relative deprivation, poverty, unemployment) using separate logistic regressions adjusting for individual-level covariates (gender, age, race/ethnicity, marital status, and education) and national-level annual Gini coefficient. Our results show that NMPOU was higher among people experiencing relative deprivation (aOR = 1.13, 95% CI = 1.06-1.20), poverty (aOR = 1.22, 95% CI = 1.16-1.29), and unemployment (aOR = 1.42, 95% CI = 1.32-1.53) between 2005 and 2013, as was heroin use (aORs = 2.54, 2.09, 3.55, respectively). The association between relative deprivation and NMPOU was modified by recession timing, and was significantly higher after the Recession (aOR = 1.21, 95% CI = 1.11-1.33). Relative deprivation was associated with higher odds of NMPOU and heroin use, and higher odds of NMPOU after the Great Recession. Our findings suggest contextual-level factors may modify the relationship between relative deprivation and opioid use, and support the need for new measures of financial hardship.

The estimated impact of state-level support for expanded delivery of substance use disorder treatment during the COVID-19 pandemic.

BACKGROUND AND AIMS: To prevent COVID-19 transmission, some United States (US) federal regulations on substance use disorder (SUD) treatment were suspended in March 2020. This study aimed to quantify the extent of state-level policy uptake and the potential number of people with SUD affected by these policy changes across the US, as well as to assess if policy uptake correlated with rates of people with SUD already in treatment or needing treatment. DESIGN: Cross-sectional analysis of policies implemented as of April 13, 2020. SETTING AND PARTICIPANTS: A total of 50 US states and the District of Columbia MEASUREMENTS: State-level implementation of: oral schedule II controlled substances emergency prescription, extended take-home doses for medication for opioid use disorders (MOUD), home-delivery of take-home medications, telemedicine for schedule II-IV prescriptions, telemedicine for buprenorphine prescribing initiation, and waiver of out-of-state Drug Enforcement Administration (DEA) registration. Rates per 100 000 population of: adults in treatment for SUD, MOUD treatment at facilities with opioid treatment programs, SUD based on Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV criteria, and needing, but not receiving treatment. FINDINGS: Half of the states (n = 24) enacted no policies, leaving ~460 955 people in treatment and 114 370 people on MOUD pre-pandemic uncovered by any policy expansion. Only telemedicine for buprenorphine initiation was marginally associated with pre-pandemic rate of SUD treatment (OR = 1.003, 95% CI = [1.001, 1.006]) and rate of MOUD therapy (OR = 1.006, 95% CI = [1.002, 1.011]) in univariable analysis, but these associations were no longer significant when controlling for state-level demographics. No policies were associated with state-wide SUD prevalence or rate of unmet treatment need (P > 0.05). CONCLUSIONS: Twenty-four United States states did not implement at least one federal policy for substance use disorder treatment expansion as of April 2020, leaving approximately half a million people in treatment pre-pandemic potentially without access to treatment or risking exposure to COVID-19 to continue in-person therapies.

City streetscapes and neighborhood characteristics of fatal opioid overdoses among people experiencing homelessness who use drugs in New York City, 2017-2019.

BACKGROUND: While housing is a critical social determinant of nonprescription opioid overdose, little is known about how place impacts fatal overdose for people experiencing homelessness (PEH) who use drugs beyond the public versus private domains. This study investigated patterns of neighborhood environment features at locations of fatal overdoses among PEH. METHODS: We remotely visited locations of opioid-involved fatal overdoses provided by the New York City Office of the Chief Medical Examiner, 2017-2019 (n=3276), with Google Street View and used systematic social observation to assess characteristics of the street block related to drug exposures. We cross-referenced home address with city shelters and supportive housing to identify PEH (n=503). We used the differences of K functions from the spatial point patterns and kernel ratio function maps to identify geographic clusters. We then used logistic regression to identify significant individual-, block-, and neighborhood-level covariates (neighborhood deprivation, segregation, population density). RESULTS: Over half (55.9%, n=281) of fatal overdoses among PEH occurred in supportive housing or shelters, and 15.5% (n=78) occurred in public spaces (e.g., parks). Spatial analyses identified areas of significant concentrated fatal overdoses among PEH in Manhattan, the South Bronx, and Brooklyn. We identified several significant indicators of physical and social order and disorder associated with increased odds of experiencing homelessness at time of fatal overdose, including construction/renovation, graffiti, traffic calming features, and loitering. CONCLUSION: Harm reduction services should be co-located in facilities that serve PEH and targeted to street blocks with indicators of physical and social disorder. While supportive housing is a crucial step in preventing fatal opioid overdoses among PEH, identifying neighborhoods for intervention services delivery and harm reduction outreach for PEH is necessary.

The first day of smoking abstinence is more challenging for women than men: A meta-analysis and meta-regression across 12 low- and middle-income countries.

BACKGROUND: Maintained abstinence during the first 24 h of a quit attempt is a critical predictor of long-term smoking cessation. Little is known about sex differences in the very early abstinence period, particularly in the context of low- and middle-income countries (LMICs) with varying anti-smoking policies and female smoking prevalences. We examined female sex effects on one-day relapse in a cross-national sample from 12 LMICs. METHODS: Data from the Global Adult Tobacco Survey (2008-2012) included nationally representative samples from 12 LMICs restricted to smokers with ≥ 1 quit attempt in the past 12 months (n = 16,576). We ran adjusted logistic regression models for female sex effects on one-day relapse, adjusting for nine individual-level demographics (e.g., age, education, age at smoking initiation) and smoking cessation variables (e.g., exposure to health warnings, receipt of counseling). We then conducted a meta-analysis adjusted for national-level and policy measures through meta-regression (e.g., cigarette consumption per capita, percent of cigarette box covered with warning labels). RESULTS: One-day relapse prevalence varied across countries (2.7-13.6%). The odds of one-day relapse were significantly higher for women than for men in six countries (adjusted for nine individual-level sociodemographic variables), and there were no significant sex differences in the remaining six countries. Result remained significant after meta-regressions for national-level tobacco consumption and policy measures. Sensitivity analyses showed that the odds of one-day relapse for women remained significant when excluding countries with both higher and lower relative rates of female smoking. Larger warning labels on cigarette packs were associated with reduced odds of one-day relapse among women. CONCLUSION: The first day of a quit attempt is more challenging for women than men in LMICs. Tailored interventions incorporating national policies, in addition to counseling and pharmacotherapy, could play an essential role in supporting women during the initial abstinence phase of smoking cessation in LMICs.