Validating a geospatial healthfulness index with self-reported chronic disease and health outcomes.

Leveraging community engagement from past research may yield frameworks on which to build new inquiries. We previously integrated community voice into the development of a healthfulness index to increase awareness of social determinants of health in the built environment and inform deployment of public health interventions in the Flint (Michigan, USA) Center for Health Equity Solutions. Here we combine the healthfulness index with self-reported chronic disease and health outcomes (n = 12,279) from a community-based healthcare entity, the Genesee Health Plan. The healthfulness index purports to predict how health-promoting a neighborhood is based on many spatially varying characteristics; by linking our health plan data to this index, we validate the effectiveness of the healthfulness index. After geocoding all enrollees and joining their healthfulness scores, we conducted a series of logistic regressions to compare the relationship between self-reported outcomes and healthfulness. Matching the two intervention projects of our center (revolving around healthy eating & physical activity in project 1 and mental health sustainment & substance use prevention in project 2), our analyses also focused on classes of outcomes related to a) cardiovascular disease and b) mental health. In only select cases, higher (better) healthfulness scores from each project were independently associated with better cardiovascular and mental health outcomes, controlling for age, race, and sex. Generally, however, healthfulness did not add predictive strength to the association between health and sociodemographic covariates. Even so, the use of composite healthfulness indices to describe the health-promoting or degrading qualities of a neighborhood could be valuable in identifying differences in health outcomes. Future researchers could further explore healthcare claims datasets to increase understanding of the links between healthfulness and health outcomes. This and future work will be valuable in advocacy toward additional healthfulness indices to aid other communities in enriching understanding between the built environment and health.

Impact of the Sachet Alcohol Ban on Alcohol Availability in Uganda.

OBJECTIVE: Alcohol use continues to be a major public health problem in Uganda. This study sought to estimate the availability of sachet alcohol among retail food and beverage establishments in two Ugandan districts (Kampala and Jinja) before and after enactment of the national sachet alcohol ban. METHOD: Independent observations in 100 establishments were conducted by a pair of trained observers during the peak hours of 7 P.M. to 1 A.M. Using a standardized checklist, observers recorded indications of alcohol availability before and after enactment of the sachet alcohol ban. RESULTS: Availability of (a) alcohol and (b) sachet alcohol were significantly affected by the ban. Before the ban, 69% of all establishments sold alcohol; there was a significant reduction in alcohol availability after enactment of the ban to 43% of the establishments (p < .001). This reduction was observed in off-premise establishments (p < .001), but not in on-premise establishments (p = .710). Additionally, before the sachet alcohol ban, 52% of all establishments sold sachet alcohol; however, there was a significant reduction in sachet availability after enactment of the ban (1.4%, p < .001). CONCLUSIONS: Legislation banning the manufacture and sale of sachet alcohol has the potential to reduce sachet availability. Future studies should examine changes in alcohol consumption following the sachet alcohol ban.

Is a school's neighborhood physical disorder related to its academic outcomes?

BACKGROUND: Neighborhood environment for student residences has been linked to differences in academic outcomes. However, school neighborhood has not been studied as a potential additional environmental factor in academic outcomes. OBJECTIVE: The goal of this study was to explore the association between school neighborhood disorder and academic outcomes. METHODS: School neighborhood physical disorder data were paired with school academic achievement and attendance data. Using regression analyses, we examined whether academic achievement and attendance were predicted using NIfETy neighborhood physical disorder scores for the 21 schools within the boundaries of Flint. RESULTS: Neighborhood physical disorder was significantly negatively associated with mathematics scores (ß=-7.71707, p=0.0430425), but not with English Language Arts (ELA) scores (ß=-4.35, p=0.13). We found a significant curvilinear relationship between neighborhood physical disorder and attendance. CONCLUSIONS: This study supplements existing literature by focusing on neighborhood physical disorder at the school. We found evidence that school neighborhood may impact academic achievement. These findings complement previous research showing that neighborhood of residence factors, such as structural disadvantage, impact school performance. Students exposed to economically disadvantaged neighborhoods at school, regardless of where they live, may have poorer academic skills.

A Novel Method for Evaluating and Comparing Community Health Reports.

OBJECTIVES: This study assessed the comprehensiveness and efficiency of existing Flint area public health community data using a novel method. One hundred thirty-eight community public health data reports were identified and screened for inclusion from Internet searches and community partner interviews. METHODS: Forty-two Centers for Disease Control and Prevention (CDC)-based health metrics were adopted as a standard for unbiased comparison. For each report, a percentage "match-to-standard" was calculated (i.e., we calculated the percentage of CDC recommended metrics that were covered in the report). The two locally generated reports with the highest match-to-standard scores were compared for overlap. RESULTS: There were 138 initially identified reports, and 110 unique reports remained after duplicates were removed. Twenty public health data reports met inclusion criteria and were included in the final sample. The top local public health data report yielded a 59.5% match-to-standard, indicating a 23.8% gap in current Flint area community data. Evaluation across all reports yielded an 89.3% match-to-standard with a 10.7% gap. An overlap of 70% exists between the two local reports with the highest match-to-standard scores. CONCLUSIONS: This research identified key health metrics not captured by current locally generated Flint public health reports. The 23.8% gap indicates an opportunity to improve local public health data report comprehensiveness. The 70% overlap across the two local reports with greatest match-to-standard scores generated locally, indicates potential duplication and an opportunity to improve efficiency.

Neighborhood Profiles and Associations with Coping Behaviors among Low-Income Youth.

Extant research has typically examined neighborhood characteristics in isolation using variable-centered approaches; however, there is reason to believe that perceptions of the neighborhood environment influence each other, requiring the use of person-centered approaches to study these relationships. The present study sought to determine profiles of youth that differ in their perceptions of their neighborhoods and objective neighborhood characteristics, and whether these profiles are associated with youth coping. Participants were low-income, African American youth (N= 733; 51.0% female, M age = 18.76 years, SD = 1.71) from a metropolitan city who were originally recruited for the Youth Opportunity program in Baltimore, Maryland. A latent profile analysis was conducted which included self-reported neighborhood social cohesion, collective efficacy, disorder, violence, and disadvantage derived from census data. Coping behaviors, specifically positive cognitive restructuring, problem-focused coping, distraction strategies, and avoidant behaviors were assessed via self-reported questionnaires. Four neighborhood profiles were identified: highest disorder (20.0%); highest violence/highest disadvantage (5.2%); high violence (26.6%); and highest cohesion/lowest disorder (48.2%). Individuals in the highest violence/highest disadvantage profile reported higher positive cognitive restructuring and problem-focused coping than the other profiles. These findings warrant an investigation into the individual assets and contextual resources that may contribute to more positive coping behaviors among youth in more violent and disadvantaged neighborhoods, which has the potential to improve resilient outcomes among youth in similar at-risk settings.

Pathways Between a Polygenic Score for Educational Attainment and Higher Educational Attainment in an African American Sample.

We investigated the extent to which performance on standardized achievement tests, executive function (EF), and aggression in childhood and adolescence accounted for the relationship between a polygenic score for educational attainment (EA PGS) and years of education in a community sample of African Americans. Participants (N = 402; 49.9% female) were initially recruited for an elementary school-based prevention trial in a Mid-Atlantic city and followed into adulthood. In first and twelfth grade, participants completed math and reading standardized tests and teachers reported on participants' aggression and EF, specifically impulsivity and concentration problems. At age 20, participants reported on their years of education and post-secondary degrees attained and their genotype was assayed from blood or buccal swabs. An EA PGS was created using results from a large-scale GWAS on EA. A higher EA PGS was associated with higher education indirectly via adolescent achievement. No other mediating mechanisms were significant. Adolescent academic achievement is thus one mechanism through which polygenic propensity for EA influences post-secondary education among urban, African American youth.

The population randomization observation process (PROP) assessment method: using systematic habitation observations of street segments to establish household-level epidemiologic population samples.

BACKGROUND: Identifying and intervening on health disparities requires representative community public health data. For cities with high vacancy and transient populations, traditional methods of population estimation for refining random samples are not feasible. The aim of this project was to develop a novel method for systematic observations to establish community epidemiologic samples. RESULTS: We devised a four-step population randomization observation process for Flint, Michigan, USA: (1) Use recent total population data for community areas (i.e., neighborhoods) to establish the proportional sample size for each area, (2) Randomly select street segments of each community area, (3) Deploy raters to conduct observations about habitation for each randomly selected segment, and (4) Complete observations for second and third street segments, depending on vacancy levels. We implemented this systematic observation process on 400 randomly selected street segments. Of these, 130 (32.5%) required assessment of secondary segments due to high vacancy. Among the 130 primary segments, 28 (21.5%) required assessment of tertiary (or more) segments. For 71.5% of the 400 primary street segments, there was consensus among raters on whether the dwelling inhabited or uninhabited. CONCLUSION: Houses observed with this method could have easily been considered uninhabited via other methods. This could cause residents of ambiguous dwellings (likely to be the most marginalized residents with highest levels of unmet health needs) to be underrepresented in the resultant sample.

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.

Impact of Alcohol Tax Increase on Maryland College Students' Alcohol-Related Outcomes.

OBJECTIVE: This study A) assessed whether levels of alcohol-related disciplinary actions on college campuses changed among MD college students after the 2011 Maryland (MD) state alcohol tax increase from 6% to 9%, and B) determined which school-level factors impacted the magnitude of changes detected. METHOD: A quasi-experimental interrupted time series (ITS) analysis of panel data containing alcohol-related disciplinary actions on 33 MD college campuses in years 2006-2013. Negative binomial regression models were used to examine whether there was a statistically significant difference in counts of alcohol-related disciplinary actions comparing time before and after the tax increase. RESULTS: The ITS anaysis showed an insignificant relationship between alcohol-related disciplinary actions and tax implementation (ß = -.27; p =.257) but indicated that alcohol-related disciplinary actions decreased significantly over the time under study (ß = -.05; p =.022). DISCUSSION: Alcohol related disciplinary actions did decrease over time in the years of study, and this relationship was correlated with several school-level characteristics, including school price, school funding type, types of degrees awarded, and specialty. School price may serve as a proxy mediator or confounder of the effect of time on disciplinary actions.

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.

Triangulating Syndemic Services and Drug Treatment Policy: Improving Drug Treatment Portal Locations in Baltimore City.

THE PROBLEM: The prevalence of injection drug use (IDU) and incidence of human immunodeficiency virus (HIV) remain high in Baltimore, where IDU is a primary HIV risk factor. Substance use disorders and HIV are related syndemically--their causes and consequences interact synergistically. Baltimore is increasingly considering the syndemic relationship of substance use disorders, IDU, and HIV in making decisions about drug treatment funding and location. PURPOSE OF ARTICLE: Our goal was to empirically identify the optimal location of new drug treatment programs through the development and application of a novel, practical tool. KEY POINTS: Syndemic triangles were constructed to measure and visualize unmet need for drug treatment services. These data were used to determine priority zones for new treatment centers. CONCLUSIONS: The application of this tool helped inform strategies for locating drug treatment services in Baltimore, and its successful use suggests its potential value in other metropolitan areas.

Impact of Maryland's 2011 alcohol sales tax increase on alcoholic beverage sales.

BACKGROUND: Increasing alcohol taxes has proven effective in reducing alcohol consumption, but the effects of alcohol sales taxes on sales of specific alcoholic beverages have received little research attention. Data on sales are generally less subject to reporting biases than self-reported patterns of alcohol consumption. OBJECTIVES: We aimed to assess the effects of Maryland's July 1, 2011 three percentage point increase in the alcohol sales tax (6-9%) on beverage-specific and total alcohol sales. METHODS: Using county-level data on Maryland's monthly alcohol sales in gallons for 2010-2012, by beverage type, multilevel mixed effects multiple linear regression models estimated the effects of the tax increase on alcohol sales. We controlled for seasonality, county characteristics, and national unemployment rates in the main analyses. RESULTS: In the 18 months after the tax increase, average per capita sales of spirits were 5.1% lower (p < 0.001), beer sales were 3.2% lower (p < 0.001), and wine sales were 2.5% lower (p < 0.01) relative to what would have been expected from sales trends in the 18 months prior to the tax increase. Overall, the alcohol sales tax increase was associated with a 3.8% decline in total alcohol sold relative to what would have been expected based on sales in the prior 18 months (p < 0.001). CONCLUSION: The findings suggest that increased alcohol sales taxes may be as effective as excise taxes in reducing alcohol consumption and related problems. Sales taxes also have the added advantages of rising with inflation and taxing the highest priced beverages most heavily.

Objective and perceived neighborhood characteristics and tobacco use among young adults.

BACKGROUND: In the US, past month tobacco use is higher among young adults aged 18-25 years than among any other age group. Neighborhood disorder may be a malleable environmental determinant of tobacco use among young adults; its correlation with tobacco use is understudied. The purpose of this study is to examine whether perceived and objectively measured neighborhood factors are associated with tobacco use among young adults in Baltimore City. METHODS: This cross-sectional study of predominately African American young adults (n=359) used logistic regression models via generalized estimating equations (GEE) to estimate the association of perceived and objective neighborhood disorder with past month tobacco use, adjusting for race, age, sex, income, and other substance use. Two measures of perceived neighborhood environment - neighborhood drug involvement, and neighborhood social cohesion - were derived from the Neighborhood Environment Scale (NES). Objective neighborhood disorder was measured via trained field raters using the Neighborhood Inventory for Environmental Typology (NIfETy) instrument. RESULTS: Sex modified the relationship between perceived neighborhood drug involvement and past month tobacco use, and the association was significant among women only (aOR=1.49; 95% CI=1.19-1.88). Perceptions of neighborhood social cohesion (aOR=0.97; 95% CI=0.83-1.13), and objective neighborhood disorder (aOR=1.17; 95% CI=0.98-1.38) were not significantly associated with past month tobacco use. CONCLUSION: Understanding the correlation between perceived and objective neighborhood disorder, and their independent association with tobacco use can potentially lead to environmentally based interventions aimed at reducing tobacco use among young adults who live in urban environments.

Neighborhood environment and internalizing problems in African American children.

This study examines gender differences in the association between environment and internalizing problems in a sample of predominately African American schoolchildren. Internalizing problems was assessed using the Youth Self Report. Violence and alcohol and other drug (AOD) exposure subscales were created using observational assessments of neighborhood blocks. Logistic regression models were used to assess the relationship between neighborhood environment and internalizing problems. For each AOD item present on the block the odds of internalizing problems among girls increased by 17% (OR = 1.17, CI: 1.01, 1.35, P = 0.039). The relationship was not significant among boys. Violence exposure did not predict internalizing problems in boys or girls. These preliminary findings suggest that primary school-aged girls' emotional well-being is more negatively impacted by deleterious environments. Future investigations will examine the relationship between deleterious neighborhood environments and internalizing problems as the children age into adolescence.

Neighborhood incivilities, perceived neighborhood safety, and walking to school among urban-dwelling children.

BACKGROUND: Walking to school is an important source of physical activity among children. There is a paucity of research exploring environmental determinants of walking to school among children in urban areas. METHODS: A cross-sectional secondary analysis of baseline data (2007) from 365 children in the "Multiple Opportunities to Reach Excellence" (MORE) Study (8 to 13 years; Mean 9.60 years, SD 1.04). Children and caregivers were asked about walking to school and perceived safety. Objective measures of the environment were obtained using a validated environmental neighborhood assessment. RESULTS: Over half (55.83%) of children reported walking to school most of the time. High levels of neighborhood incivilities were associated with lower levels of perceived safety (OR: 0.39, 95% CI: 0.21 to 0.72). Living on a block above the median in incivilities was associated with a 353% increase in odds of walking to school (OR: 3.53; 95% CI: 1.68 to 7.39). CONCLUSIONS: Children residing in neighborhoods high in incivilities are more likely to walk to school, in spite of lower levels of perceived safety. As a high proportion of children residing in disadvantaged neighborhoods walk to school, efforts should be directed at minimizing exposure to neighborhood hazards by ensuring safe routes to and from school.

Toward national estimates of alcohol use disorders among drivers: results from the National Roadside Survey Pilot Program.

OBJECTIVE: To determine whether drivers contacted at the roadside can be screened for alcohol use disorders (AUDs). Secondarily, to produce preliminary estimates of AUDs among drivers and estimate the relationship between AUD status and BAC measured at the roadside. METHODS: A two-phase survey program was undertaken. In phase 1, 206 motorists were interviewed at the roadside using a 15-item AUD Survey derived from a condensed version of the AUDADIS and the AUDIT-C. One hundred sixty-seven of these motorists were invited, for a $25 incentive, to call the research team within 48 h of the roadside assessment to repeat the questionnaire and complete a more detailed AUD assessment. Phase 2 involved a 6-state pilot test of the AUD Survey as an add-on to the 2005 National Roadside Survey Pilot Program. The setting for both phases of the survey program was US roadways on weekends between 10 p.m. and 3 a.m. RESULTS: Ninety-seven percent of all eligible drivers completed the AUD questionnaire. The correlation between roadside and telephone interview results was 0.3 for alcohol abuse, 0.6 for alcohol dependence and heavy drinking, and 0.7 for binge drinking. Alcohol abuse and dependence diagnoses had 0.6 and 0.7 correlations with diagnoses derived from the full AUDADIS and the AUDIT-C had a 0.8 correlation with the full AUDIT. There was also a statistically significant and positive relationship between having a positive BAC at the roadside and meeting criteria for heavy drinking. CONCLUSIONS: AUD status can be effectively measured at the roadside. The poor reliability for alcohol abuse is related to underreporting of drinking and driving during roadside assessments, compared to telephone follow-up. Other measures of hazardous alcohol use should be used in the roadside context to measure alcohol abuse.