Mean Streets and Mental Health: Depression and Post-Traumatic Stress Disorder at Crime Hot Spots

Social determinants of health and mild cognitive impairment in a diverse community sample

BACKGROUND

The associations between community-wide social determinants of health and mild cognitive impairment (MCI) among individuals warrant investigation.

METHODS

Among 2830 dementia-free individuals aged 65+ years in a community-based US study, we examined cross-sectional associations of MCI (Clinical Dementia Rating = 0.5) with the following potential social determinants of health: at the census tract or block group level obtained from public sources: neighborhood disadvantage (Area Deprivation Index, ADI), air pollution with fine particulate matter (PM2.5), greenspace, Walkability Index, ambulatory healthcare availability per square mile, homicide rate; and at the individual participant level, birth/schooling in a southern US state.

RESULTS

Unadjusted logistic regression models found higher odds ratios (OR, 95% CI) for MCI with higher ADI (1.01, 1.003-1.02), higher PM2.5 (1.16, 1.07-1.26), higher homicide rate (1.007, 1.001-1.012), lesser greenspace (0.99, 0.90-0.99), and southern schooling (2.06, 1.6-3.54). Adjusting for age, race, sex, and educational level, ADI remained statistically significant (1.04, 1.01-1.06), while PM2.5 and Southern state schooling interacted significantly with race and were more strongly affected in Black participants than in White participants.

CONCLUSIONS

In this cohort, several community-wide social/environmental factors were associated with MCI. While clinicians should continue to encourage older adults to modify their individual risk factors, policy changes are needed to mitigate social determinants of health in the community.

Exposure to Crime at Food Stores: Implications for Nutrition and Health among Black Americans

Crime is a public health issue that disproportionately affects racially-marginalized populations. Studies have reported that food stores (e.g., grocery stores, convenience stores) often attract crime due to their volume of cash transactions and limited security. Little is known about how exposure to crime at food stores affects nutrition or health. This study aimed to fill this research gap by exploring the lived experiences of Black Americans. In 2023, 502 Black-identifying adults completed a survey online. They reported their socio-demographics, fruit and vegetable (FV) consumption, food security status, height, weight, and experiences with crime at food stores in their community. Multivariable-adjusted regression models were examined to identify associations between exposure to crime at food stores and the following measures: low food security status, obesity status, and daily servings of FVs. Approximately 150 (29%) participants avoided one or more food stores in their community due to crime; 102 (20%) had witnessed a crime at a food store. Those who avoided food stores had greater odds of low food security (OR: 1.94; 95% CI: 1.25-3.02) and obesity (OR: 2.15; 95% CI: 1.33-3.48) compared to others. Those who witnessed a crime had greater odds of low food security (OR: 3.14; 95% CI: 1.82-5.41). Exposure to crime at food stores was not associated with FV consumption after adjusting for socio-demographics. Exposure to crime in food stores may have negative health and nutritional implications. Future studies should explore these implications for populations that are disproportionately affected by crime.

Local crime and substance use disorders: A comparison of midlife adults in the 1990s and 2000s

This study investigated how sociopolitical changes in the United States between the 1990s and 2000s may explain the increase in substance use disorders and reduced longevity in more recent cohorts of US midlife adults. The 2008 recession which drastically increased unemployment rates across the country may have had negative implications for downstream contextual and individual processes, including both local crime rates and substance use disorders. The Midlife in the United States Survey cohort (1995; n = 6148; 20-75 years) and the MIDUS Refresher cohort (2011; n = 3543; 23-76 years) reported on substance use disorders. These data were linked to Uniform Crime Reporting violent crime rates to determine whether associations between local crime and substance use disorders changed among two separate cohorts of US midlife adults assessed before or after the 2008 recession. In 1995, despite higher local crime rates, substance use disorders were not associated with local crime. The comparatively lower crime rates of 2011, however, associated with greater prevalence of substance use disorders. Considering unemployment rates from the Decennial Census and American Community Survey, which were substantially higher in 2011 relative to 1995, completely diminished the local crime rate-substance use disorder association. The increased prevalence of substance use disorders observed in the more recent cohort of midlife adults assessed in the current study may represent maladaptive coping to local crime after the 2008 recession.

Association between property investments and crime on commercial and residential streets: Implications for maximizing public safety benefits

Physical property investments enhance public safety in communities while alleviating the need for criminal justice system responses. Policy makers and local government officials must allocate scare resources for community and economic development activities. Understanding where physical property investments have the greatest crime reducing benefits can inform decision making to maximize economic, safety, and health outcomes. This study uses Spatial Durbin models with street segment and census tract by year fixed effects to examine the impact of physical property investments on changes in property and violent crime over an 11-year period (2008-2018) in six large U.S. cities. The units of analysis are commercial and residential street segments. Street segments are classified into low, medium, and high crime terciles defined by initial crime levels (2008-2010). Difference of coefficients tests identify significant differences in building permit effects across crime terciles. The findings reveal there is a significant negative relationship between physical property investments and changes in property and violent crime on commercial and residential street segments in all cities. Investments have the greatest public safety benefit where initial crime levels are the highest. The decrease in violent crime is larger on commercial street segments, while the decrease in property crime is larger on residential street segments. Targeting the highest crime street segments (i.e., 90th percentile) for property improvements will maximize public safety benefits.

High levels of poor mental health among young men in urban informal settlements in South Africa: a community-based study of social determinants

Informal settlements (high population density areas at the outskirts of urban areas characterized by lack basic amenities) in South Africa are consequences of apartheid regime's discriminatory migrant labour and spatial policy and continue to grow. Living in informal settlements accompanies a mire of social/health challenges that threatens upward mobility, but few studies exist that document drivers of mental health challenges in these settings. We investigated the prevalence and social determinants of poor mental health for young men in informal settlements adjacent to one of the largest cities that is at the heart of HIV endemic in South Africa. This study involved a cross-sectional study with cluster sampling design of 674 young men aged 18-30 years residing in eThekwini informal settlement communities. We assessed the prevalence, and social determinants, of significant depressive (i.e., depression) and post-traumatic stress (i.e., PTS) symptoms using logistic regression. Given the complex survey design of the study, all analyses were adjusted for clustering. The prevalence of depression and PTS in the sample was 46.8% and 14.4% respectively. Results of the multivariable analyses indicated that severe food insecurity (aOR = 2.98, 95% CI:1.70-5.22), crime perpetration (aOR = 1.51, 95% CI:1.05-3.80), severe adverse childhood event (aOR = 2.00, 95% CI: 1.05-3.80), traumatic event exposures (aOR = 2.43, 95% CI:1.56-3.80) and problematic alcohol use (aOR = 1.73, 95% CI:1.20-2.49) were significantly associated with depression. While incomplete secondary education (aOR = 0.45, 95% CI:0.22-0.92), moderate food insecurity (aOR = 2.51, 95% CI:1.04-6.06), traumatic event exposures (aOR = 2.19, 95% CI:1.32-3.64) and problematic alcohol use (aOR = 2.15, 95% CI: 1.24-3.73) were significantly associated with PTS. Our study highlights the exceedingly high levels of poor mental health among young men in informal settlements, with depression and PTS being driven by economic/social conditions. Multilevel interventions that address the individual, interpersonal, and social variables that contribute to poor mental health are needed.

Utilizing a combined hospital and criminal justice database to identify risk factors for repeat firearm injury or violent-crime arrest among firearm victims

Introduction: Identifying firearm victims with the greatest risk of repeat-firearm exposure and offering interventions has the potential to disrupt recurrent violence. This study explored risk factors associated with repeat violence among survivors of intentional firearm injury in a unique clinical and criminal justice (CJ) dataset. Methods: This study analyzed a retrospective cohort (n = 4058) of persons injured by nonfatal intentional firearm violence from 2013 to 2016 in one metropolitan area. Data were collected from a single level I trauma center, city police records, and state CJ databases from 1948 to 2019. The primary outcome of interest was another firearm injury or violent-crime arrest (defined as a violent or firearm felony offense). Results: Among 4058 nonfatal intentional firearm victims, 1202 (29.6%) individuals had a repeat-firearm injury or violent-crime arrest. In a bivariate analysis, history of mental, physical, and/or emotional abuse (odds ratio [OR], 1.62; 95% confidence interval [CI], 1.40-1.86), mental health diagnosis (OR, 1.88; 95% CI, 1.51-2.35), or illegal substance use (OR, 2.87; 95% CI, 2.48-3.32) was associated with increased risk of repeat-firearm injury or violent-crime arrest. Prior felony arrest (OR, 3.68; 95% CI, 3.19-4.24), prior incarceration (OR, 3.72; 95% CI, 3.04-4.56), prior firearm charge (OR, 4.06; 95% CI, 3.33-4.96), and suspected gang membership (OR, 8.69; 95% CI, 6.14-12.32) demonstrated the greatest association with significant repeat violence. Conclusions: Thirty percent of those who experienced an intentional firearm injury were found to have a repeat-firearm injury or violent-crime arrest multi-disciplinary interventions that address the complex needs of a CJ-involved population are needed to mitigate significant repeat violence.

Pockets of Peace: A mixed methods, exploratory study of neighborhoods resilient to juvenile violence

Social science research has focused on hot spots of adolescent violence in marginalized urban neighborhoods for nearly a century. In contrast, in this study, we explore under-resourced urban areas that do not experience high rates of adolescent violence: "pockets of peace." We use a mixed-method approach to identify the sociodemographic, geographic, and criminological commonalities and differences between pockets of peace and other areas of concentrated disadvantage dealing with high rates of adolescent violence in Indianapolis, IN. More than one out of every ten of Indianapolis' areas of concentrated disadvantage meet the criteria to be labeled "pockets of peace." Quantitative data indicate that these areas have fewer prosocial institutions and experience lower homeownership rates than comparison under-resourced areas, and qualitative data point toward rental stability and residential longevity as potentially salient social factors within these contexts. As an alternative to using statistics to control for the context of structural disadvantage, studying pockets of peace and other "cold-spots" of adolescent violence presents an opportunity to understand community-level resilience within the real, lived context of structural disadvantage.

Place-Based Improvements for Public Safety: Private Investment, Public Code Enforcement, and Changes in Crime at Microplaces across Six U.S. Cities

Research demonstrates that crime concentrates at relatively few microplaces, and changes at a small proportion of locations can have a considerable influence on a city's overall crime level. Yet there is little research examining what accounts for change in crime at microplaces. This study examines the relationship between two mechanisms for place-based improvements - private investment in the form of building permits and public regulation in the form of municipal code enforcement - and yearly changes in crime at street segments. We use longitudinal data from six cities to estimate Spatial Durbin Models with block group and census tract by year fixed effects. Building permits and code enforcement are significantly associated with reductions in crime on street segments across all cities, with spatial diffusion of benefits to nearby segments. These findings suggest public safety planning should include efforts that incentivize and compel physical improvements to high crime microplaces.

Social determinants of depression among mid-to-older aged Australians: A prospective study of the effects of neighbourhood disadvantage and crime

Background

Few studies examining social determinants of depression have incorporated area level objectively measured crime combined with self-report measures of perceived crime. How these factors may interrelate with neighbourhood disadvantage is not well understood, particularly in Australia, where mental health disorders are of major concern. This study examined relationships between area-level objective crime, self-reported perceptions of crime, neighbourhood disadvantage and depression, and potential mechanisms by which these variables indirectly lead to depression.

Methods

This study used data from the HABITAT Project, a representative longitudinal study of persons aged 40–65 years residing in 200 neighbourhoods in Brisbane, Australia, during 2007–2016. A prospective sample of residentially stable persons who reported depression at two years (n =3120) and five years (n=2249) post-follow-up was developed. Area level objective crimes were categorised as either crimes against the person, social incivilities or unlawful entry. Logistic regression was used to establish relationships with depression, followed by a decomposition analysis to establish potential mechanisms.

Results

Neighbourhoods in the highest quartile of crimes against the person had an increased risk of individuals reporting depression at all periods of follow-up. Associations were also found between unlawful entry and depression. Decomposition analysis indicated a positive and significant total effect of crime against the person on depression for all periods of follow-up, while an indirect effect of perceived crime was found to partially explain this relationship at 2-years after baseline (prop. Mediated = 46.5%), and at either or both periods of follow-up (prop. Mediated = 53.7%), but not at 5-years follow-up.

Discussion

Neighbourhoods with the highest levels of crime against the person may influence depression over time through a pathway of perceived crime. Perceived crime, particularly in areas of high crime against the person should be considered as part of a multi-faceted strategy aimed at improving population mental health.

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Prospective study of depression amongst mid to older aged Australians.

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Objective and perceived crime are rarely included together in one study.

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Area level crime against the person associated with the incidence of depression.

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Neighbourhood disadvantage associated with depression.

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Perceived crime partly mediates association between crime against the person and depression.

Distinguishing the Effect of Time Spent at Home during COVID-19 Pandemic on the Mental Health of Urban and Suburban College Students Using Cell Phone Geolocation

The aim of this study was to assess the correlation of depression and anxiety with time spent at home among students at two universities-one urban and the other suburban-during the COVID-19 pandemic.

METHODS

Geolocation data from the smartphones of 124 participants were collected between February 2021 and May 2021. The level of depression was estimated by the PHQ-9 and PHQ-2 screening tools, and anxiety scores were estimated by the GAD-2 and GAD-7 screening tools.

RESULTS

51% of participants in the PHQ-9 surveys indicated mild to severe depression. Participants spent on average 75% of their time at home during COVID. Time spent at home had a positive correlation with the mental health of urban students but a negative correlation with suburban students. The relation between the time at home with mental health was stronger among female participants than among male participants. Correlations between female depression, anxiety, and time at home were significant.

CONCLUSIONS

Lockdown and distance learning contributed to the high levels of depression in university students. This research highlights the importance of time spent at home for mental health being during the pandemic and the importance of distinguishing between urban and suburban settings when formulating public health recommendations. Quality of time spent at home versus time spent outside differentiated the mental well-being of students located in different environments. Staying at home may be recommended for students without access to safe outdoor places as it is associated with lower levels of depression.

Neighborhood Characteristics, Intersectional Discrimination, Mental Health, and HIV Outcomes Among Black Women Living With HIV, Southeastern United States, 2019‒2020

Objectives. To examine the effects of within-neighborhood and neighboring characteristics on discrimination, stigma, mental health, and HIV outcomes among Black women living with HIV (BWLWH). Methods. A total of 151 BWLWH in a southeastern US city provided baseline data (October 2019‒January 2020) on experienced microaggressions and discrimination (race-, gender-, sexual orientation-, or HIV-related), mental health (e.g., depression, posttraumatic stress disorder), and HIV outcomes (e.g., viral load, antiretroviral therapy adherence). Neighborhood characteristics by census tract were gathered from the American Community Survey and the National Center for Charitable Statistics. Spatial econometrics guided the identification strategy, and we used the maximum likelihood technique to estimate relationships between a number of predictors and outcomes. Results. Within-neighborhood and neighboring characteristics (employment, education, crime, income, number of religious organizations, and low-income housing) were significantly related to intersectional stigma, discrimination, mental health, HIV viral load, and medication adherence. Conclusions. Policy, research, and interventions for BWLWH need to address the role of neighborhood characteristics to improve quality of life and HIV outcomes. (Am J Public Health. 2022;112(S4):S433-S443. https://doi.org/10.2105/AJPH.2021.306675).

The role of depressive symptoms between neighbourhood disorder, criminal justice contact, and suicidal ideation: Integrating an ecological stress model with General Strain Theory

BACKGROUND

While much literature has examined the independent effect of perceived neighbourhood disorder on criminal behaviour and/or mental disorder, comparatively little is known about the role of depressive symptoms on these associations over time.

AIMS

Our aim was to examine whether depressive symptoms mediate association between perceived neighbourhood disorder, future criminal justice contact, and future suicidal ideation.

METHODS

We grounded this research in primary arguments derived from General Strain Theory (GST). Data were drawn from structured self-reports in surveys of over 2000 young adult participants from the Children of the National Longitudinal Survey of Youth, who are the offspring born to the women from the National Longitudinal Survey of Youth 1979. Information on neighbourhood disorder and depressive symptoms were used from the 2012 data collection period, while information on criminal justice contact and suicidal ideation were drawn from the 2014 period. Structural equation modelling was used to examine both direct and indirect pathways between neighbourhood disorder, depression, contact with the justice system, and suicidal ideation from 2012 to 2014.

RESULTS

Depressive symptoms were found to partially mediate the effect of perceived neighbourhood disorder on future criminal justice contact, with the strength of this effect varying across categories of race/ethnicity. The association between perceived neighbourhood disorder and suicidal ideation was fully mediated by depressive symptoms.

CONCLUSIONS AND IMPLICATIONS

Our findings are consistent with an ecological stress framework integrated with arguments from GST to understand the associations between neighbourhood disorder, criminal justice contact, and severe mental illness. Future research is needed on gender and racial/ethnic pathways. The reported findings suggest that, in addition to neighbourhood improvements, ready access to mental health services could not only reduce the risk of suicide but support safer communities.

In a world called catastrophe: the impact of COVID-19 on neighbourhood level crime in Vancouver, Canada

OBJECTIVES

To test for statistically significant change in crime rates across neighbourhoods in Vancouver, Canada, resulting from social restrictions within the natural experiment of the COVID-19 pandemic.

METHODS

Differential local Moran's I is used to identify statistically significant change in crime patterns across Vancouver's neighbourhoods because of COVID-19. These changes are analysed with variables from social disorganization theory constructs using ANOVA.

RESULTS

At the neighbourhood level, all crime types have significant change during COVID, but not always at the city level. Different neighbourhoods have different changes in crime despite these changes appearing to be constant at the city level; local effects asre important to consider. Variables representing the constructs of social disorganization theory are able to predict these changes.

CONCLUSIONS

COVID-19 has changed the patterns of crime in Vancouver, but most often in theoretically expected ways. Local changes are critical to understand crime during a pandemic.

The impact of neighbourhood crime on mental health: A systematic review and meta-analysis

BACKGROUND

Growing evidence indicates that the residential neighbourhood contributes to the complex aetiology of mental disorders. Although local crime and violence, key neighbourhood stressors, may be linked to mental health through direct and indirect pathways, studies are inconclusive. This systematic review and meta-analysis aimed to synthetize the evidence on the association between neighbourhood crime and individual-level mental health problems.

METHOD

We searched 11 electronic databases, grey literature and reference lists to identify relevant studies published before September 14, 2020. Studies were included if they reported confounder-adjusted associations between objective or perceived area-level crime and anxiety, depression, psychosis or psychological distress/internalising symptoms in non-clinical samples. Effect measures were first converted into Fisher's z-s, pooled with three-level random-effects meta-analyses, and then transformed into Pearson's correlation coefficients. Univariate and multivariate mixed-effects models were used to explore between-study heterogeneity.

RESULTS

We identified 63 studies reporting associations between neighbourhood crime and residents' mental health. Pooled associations were significant for depression (r = 0.04, 95% CI 0.03-0.06), psychological distress (r = 0.04, 95% CI 0.02-0.06), anxiety (r = 0.05, 95% CI 0.01-0.10), and psychosis (r = 0.04, 95% CI 0.01-0.07). Moderator analysis for depression and psychological distress identified stronger associations with perceived crime measurement and weaker in studies adjusted for area-level deprivation. Importantly, even after accounting for study characteristics, neighbourhood crime remained significantly linked to depression and psychological distress. Findings on anxiety and psychosis were limited due to low number of included studies.

CONCLUSIONS

Neighbourhood crime is an important contextual predictor of mental health with implications for prevention and policy. Area-based crime interventions targeting the determinants of crime, prevention and service allocation to high crime neighbourhoods may have public mental health benefits. Future research should investigate the causal pathways between crime exposure and mental health, identify vulnerably groups and explore policy opportunities for buffering against the detrimental effect of neighbourhood stressors.

Estimating exposure to neighborhood crime by race and ethnicity for public health research

BACKGROUND

Police-reported crime data (hereafter "crime") is routinely used as a psychosocial stressor in public health research, yet few studies have jointly examined (a) differences in crime exposure based on participant race and ethnicity, (b) differences in measures of crime exposure, and (c) considerations for how exposure to police is captured in police-recorded crime data. We estimate neighborhood exposure to crime and discuss the implications of structural differences in exposure to crime and police based on race and ethnicity.

METHODS

Using GPS coordinates from 1188 participants in the Newborn Epigenetics Study, we estimated gestational exposure to crime provided by the Durham, North Carolina, Police Department within (a) 800 m and (b) the Census block group of residence. We controlled for non-overlapping spatial boundaries in crime, Census, residential, and police data to report crime spatial (crime per km2) and population (crime per 1000 people per km2) density.

RESULTS

We demonstrate dramatic disparities in exposure to crime based on participant race and ethnicity and highlight variability in these disparities based on the type of crime and crime measurement method chosen.

CONCLUSIONS

Public health researchers should give thoughtful consideration when using police-reported crime data to measure and model exposure to crime in the United States, as police-reported data encompasses joint exposure to police and crime in the neighborhood setting.

Community Violence, PTSD, Hopelessness, Substance Use, and Perpetuation of Violence in an Urban Environment

We investigated the relationships among chronic violence exposure, post-traumatic stress disorder (PTSD) symptom severity, hopelessness, substance use, and perpetuation of violence to facilitate the development of trauma-related interventions for residents of Newark, NJ. A convenience sample of Newark residents (N = 153) was recruited from community centers during various events in 2016-2017. Anonymous, self-report survey measures included a PTSD screen (PCL-C), Beck's Hopelessness Scale, the CAGE questionnaire, and a CDC Health Behavior Scale. Descriptive statistics, Pearson's correlations, Chi square analyses, logistic, and linear regressions were used for analysis. Thirty percent (95% CI [22.7, 37.4]) of our sample screened positive for PTSD. Drug and alcohol use, fighting, and hopelessness were related to severity of PTSD symptoms (p < 0.05). Female gender, CAGE scores, and hopelessness predicted the severity of PTSD symptoms (R² = 0.354, p < 0.05). Our data has informed the development of a resilience support group currently in the pilot stage for community members.

Multiple vulnerabilities: The effects of neighborhood structural changes upon older residents' mental health and perceptions of the broader community

Neighborhoods' structural conditions are consequential for their social circumstances and residents' well-being. Neighborhood effects might be accentuated among older residents because their daily activities and social lives are more confined to their immediate communities. This study examines how changing neighborhood socioeconomic disadvantage affects older residents' depression and stress, as well as perceptions of neighborhood context. This study employed waves 2 (2010-2011) and 3 (2015-2016) of the National Social Life, Health, and Aging Project survey (N = 2357) and fixed-effects linear regression models to study these relationships. While rising neighborhood socioeconomic disadvantage was associated with more depression and stress, it was negatively associated with overall neighborhood social capital and neighborhood social cohesion, and was only associated with lower perceptions of neighborhood safety among respondents who relocated to new neighborhoods. Beyond cross-sectional associations, changing neighborhood socioeconomic disadvantage is associated with changes in mental health and perceptions of neighborhood social context.

Enhancing Informal Social Controls to Reduce Crime: Evidence from a Study of Crime Hot Spots

There is growing evidence that crime is strongly concentrated in micro-geographic hot spots, a fact that has led to the wide-scale use of hot spots policing programs. Such programs are ordinarily focused on deterrence due to police presence, or other law enforcement interventions at hot spots. However, preliminary basic research studies suggest that informal social controls may also be an important mechanism for crime reduction on high crime streets. Such research has been hindered by a lack of data on social and attitudinal characteristics of residents, and the fact that census information is not available at the micro-geographic level. Our study, conducted in Baltimore, MD, on a sample of 449 residential street segments, overcame these limitations by collecting an average of eight surveys (N = 3738), as well as physical observations, on segments studied. This unique primary data collection allowed us to develop the first direct indicators of collective efficacy at the micro-geographic level, as well as a wide array of indicators of other possible risk and protective factors for crime. Using multilevel negative binomial regression models, we also take into account community-level influences, and oversample crime hot spots to allow for robust comparisons across streets. Our study confirms the importance of opportunity features of streets such as population size and business activity in understanding crime, but also shows that informal social controls, as reflected by collective efficacy, are key for understanding crime on high crime streets. We argue that it is time for police, other city agencies, and NGOs to begin to work together to consider how informal social controls can be used to reduce crime at residential crime hot spots.

Association of Gun Violence With Emergency Department Visits for Stress-Responsive Complaints

STUDY OBJECTIVE

We evaluate the association between living near a neighborhood shooting and emergency department (ED) utilization for stress-responsive complaints.

METHODS

In this location-based before-and-after neighborhood study, we examined variability in ED encounter volume for stress-responsive complaints after neighborhood shooting incidents around 2 academic hospitals. We included patients residing within 1/8- and 1/2-mile-diameter buffers around a shooting (place) if their ED encounter occurred 7, 30, or 60 days before or after the shooting (time). Prespecified outcomes were stress-responsive complaints (chest pain, lightheadedness, syncope, hypertension, shortness of breath, asthma, anxiety, depression, and substance use) based on prior literature for stress-responsive diseases. Conditional logistic regression was used to calculate the odds of presentation to the ED with a stress-responsive complaint after, compared with before, a neighborhood shooting incident.

RESULTS

Between January 2013 and December 2014, 513 shooting incidents and 19,906 encounters for stress-responsive complaints were included in the analysis. Mean age was 50.3 years (SD 22.3 years), 61.5% were women, and 91% were black. We found increased odds of presenting with syncope in 2 place-time buffers: 30 days in the 1/8-mile buffer (odds ratio 2.61; 99% confidence interval 1.2 to 5.67) and 60 days in 1/8-mile buffer (odds ratio 1.56; 99% confidence interval 0.99 to 2.46). No other chief complaints met our statistical threshold for significance.

CONCLUSION

This study evaluated the relationship between objectively measured gun violence exposure and short-term health effect at a microspatial scale. Overall, this was a study with largely negative results, and we did not find any consistent dose-response pattern in time or space regarding neighborhood shootings and stress-responsive presentations to the ED. Theoretic links make this relationship plausible, however, and further investigation is needed to understand the short-term health consequences of violence exposure, and whether those vary based on the circumstances that are experienced inherently by residents of a given neighborhood.

Addressing Crime, Violence, and Other Determinants of Health through Community-Based Participatory Research and Implementation Science

In this paper, we describe the assessment and planning phase of the Thrive community-based initiative to reduce violence and address other determinants of health in a community in the Southwestern United States. Using community-based participatory research (CBPR) and an implementation science framework, we engaged residents and other key stakeholders as equal partners in the assessment and planning process. The Thrive assessment and planning phase involved collaboration among researchers, residents, law enforcement, nonprofit agencies, public health, local government, and other cross-sector partners. We used implementation science in order to examine the barriers and facilitators to addressing community health and safety, to assess the nature and scope of health and safety issues, to review existing solutions, to assess the acceptability and necessary adaptations of selected interventions, and to assess feasibility and sustainability of the initiative. Through interviews, focus groups, analysis of crime incident data, geomapping, and direct observations, our findings highlighted the presence of an open-air drug market, the high-stress nature of the community, concern for the lack of opportunities for youth, the lack of trust between residents and law enforcement, and a need to address the built environment to promote safety and well-being.

Psychological distress links perceived neighborhood characteristics to longitudinal trajectories of cognitive health in older adulthood

RATIONALE

Perceived neighborhood characteristics have been linked to cognitive health in older adulthood. The pathways through which neighborhood characteristics could influence cognition in older adulthood, however, have not been fully explored. Poorer quality neighborhoods may negatively influence cognition through feelings of psychological distress.

OBJECTIVE

To examine whether perceived neighborhood physical disorder and social cohesion were associated with change in episodic memory and semantic verbal fluency through anxiety and depressive symptoms.

METHODS

Using the Health and Retirement Study (HRS; n = 13,919), mediation models were conducted. Change in cognition (episodic memory and semantic verbal fluency) were modeled using latent growth curve models.

RESULTS

Higher physical disorder was associated with worse initial episodic memory and verbal fluency through greater anxiety symptoms. Higher social cohesion was associated with better initial episodic memory and verbal fluency through both lower anxiety and fewer depressive symptoms. Further, individuals with higher social. cohesion reported lower anxiety and in turn, showed a slower rate of verbal fluency decline. A direct effect of physical disorder on initial episodic memory remained, after accounting for indirect effects and covariates.

CONCLUSIONS

Overall, individuals who live in neighborhoods with high physical disorder and low social cohesion may experience greater psychological distress. Symptoms of anxiety and depression may, in turn, interfere with cognitive functioning. Neighborhood characteristics may be an important, targetable area for intervention to improve not only mental health outcomes, but cognitive health outcomes in older adulthood.

Changing levels of local crime and mental health: a natural experiment using self-reported and service use data in Scotland

Background

This study contributes robust evidence on the association between mental health and local crime rates by showing how changing exposure to small area-level crime relates to self-reported and administrative data on mental health.

Methods

The study sample comprised 112 251 adults aged 16–60 years, drawn from the Scottish Longitudinal Study, a 5.3% representative sample of Scottish population followed across censuses. Outcomes were individual mental health indicators: self-reported mental illness from the 2011 Census and linked administrative data on antidepressants and antipsychotics prescribed through primary care providers in the National Health Service in 2010/2012. Crime rates at data zone level (500–1000 persons) were matched to the participants’ main place of residence, as defined by general practitioner patient registration duration during 2004/2006, 2007/2009 and 2010/12. Average neighbourhood crime exposure and change in area crime were computed. Covariate-adjusted logistic regressions were conducted, stratified by moving status.

Results

In addition to average crime exposure during follow-up, recent increases in crime (2007/2009–2010/2012) were associated with a higher risk of self-reported mental illness, among ‘stayers’ aged 16–30 years (OR=1.11; 95% CI 1.00 to 1.22), and among ‘movers’ aged 31–45 years (OR=1.07; 95% CI 1.01 to 1.13). Prescribed medications reinforced these findings; worsening crime rates were linked with antidepressant prescriptions among young stayers (OR=1.09; 95% CI 1.04 to 1.14) and with antipsychotic prescriptions among younger middle-aged movers (OR=1.11; 95% CI 1.01 to 1.23).

Conclusion

Changing neighbourhood crime exposure is related to individual mental health, but associations differ by psychiatric conditions, age and moving status. Crime reduction and prevention, especially in communities with rising crime rates, may benefit public mental health.

Poor Health and Violent Crime Hot Spots: Mitigating the Undesirable Co-Occurrence Through Focused Place-Based Interventions

INTRODUCTION

The geographic overlap of violence and poor health is a major public health concern. To understand whether and how place-based interventions targeting micro-geographic places can reduce this undesirable co-occurrence, the study addresses 2 important questions. First, to what extent are deteriorated health conditions associated with living at violent crime hot spots? Second, through what mechanisms can focused place-based interventions break the association between living with violence and deteriorated health?

METHODS

This study used survey data from 2,724 respondents living on 328 street segments that were categorized as violent crime hot spots (181 segments with 1,532 respondents) versus non-hot spots (147 segments with 1,192 respondents) in 2013-2014 in Baltimore, Maryland. Propensity score analysis assessed whether individuals living at violent crime hot spots had lower general health perceptions than people living at non-hot spots. Marginal structural models estimated the proportion of total effects mediated by 3 theoretically informed intervening mechanisms. Analyses were conducted in 2019.

RESULTS

Respondents living at violent crime hot spots had a lower level of self-rated general health (b= -0.096, 95% CI= -0.176, -0.015) and higher levels of health limitations (b=0.068, 95% CI=0.027, 0.109) and problems (OR=2.026, 95% CI=1.225, 3.349) than those living at non-hot spots. Enhanced perceptions of safety, collective efficacy, and police legitimacy may break the association between living in places with extremely high levels of violence and deteriorated health.

CONCLUSIONS

Indicated or selective strategies are urgently needed to target micro-geographic locations with known increased risks, supplementing universal strategies applied to a broader community.

Chicago Youths' Exposure to Community Violence: Contextualizing Spatial Dynamics of Violence and the Relationship With Psychological Functioning

This study explores where and when community violence exposure (CVE) matters for psychological functioning in a sample of low-income, racial/ethnic minority youth (M) age = 16.17, 55% female, 69% Black, and 31% Non-Black/Latinx) living in Chicago. CVE was measured with violent crime data that were geocoded in terms of distance from youths' home and school addresses, and then calculated in terms of three distinct spatial dynamics: chronicity, pervasiveness, and spatial proximity. These measures reflect indirect/objective CVE across different conceptualizations of time, space, and neighborhood context. We tested the relationship between each CVE measure and trait anxiety and behavioral and cognitive dysregulation while controlling for youth-reported, direct violent victimization (e.g., being attacked) to examine how indirect/objective CVE occurring within youths' neighborhood contexts matters beyond direct/subjective violence exposure. Results revealed that long-term chronic, pervasive, and spatially proximal CVE was related to higher levels of behavioral dysfunction. In contrast, CVE within home- and school-based neighborhoods interacted to predict trait anxiety; youth living in low-crime neighborhoods and attending schools in high-crime neighborhoods had the highest rates of trait anxiety. Measuring CVE within both home and school neighborhoods at specific spatial measurements and time frames is critical to understand and prevent the consequences of CVE.

Localizing syndemics: A comparative study of hunger, stigma, suffering, and crime exposure in three Haitian communities

Theoretically, disease syndemics are hyper-localized in the forms they take, but little empirical data show how localization manifests. We present a comparison across three sites in Haiti, from data collected in June-august 2017 testing for localizations of risks across three communities: rural farming, border town, and in a high gang-activity urban zone. First, we modeled survey responses collected from heads of 4055 geographically-sampled households via linear regression, considering additive and interaction effects of food insecurity, crime exposure, and discrimination on depression and anxiety levels. Exposure to food insecurity, crime exposure, and discrimination were each associated with more depression and anxiety symptoms. For those living in the urban zone, there was weak evidence of possible interactional risks between the three vulnerabilities, suggesting little meaningful localized syndemic patterning. Second, we conducted thematic and word-based semantic network analysis to identify if people themselves cognitively connected vulnerabilities of hunger/poverty, crime, and suffering/discrimination using 7321 text blocks from 95 semi-structured interviews/focus groups. Network visualization suggested people commonly connect these domains. While the patterns were localized, crime concerns were central to all networks. The domain connections expressed through people's own words were more complexly inter-related than was evident from the modeled survey data, and suggested counter-intuitive influences. The quantitative approach to modeling syndemic interactions suggests no apparent practical benefits to layering or combining local anticrime, anti-hunger, and anti-discrimination programming. However, the qualitative network analysis suggests that programming could none-the-less leverage the perceived connections across domains for more meaningful and effective interventions. For the broader study of syndemics, incorporating novel qualitative approaches clarifies that constituent processes are not just potentially localizing suffering, but are also extremely important in how people cognitively understand and organize their everyday lives.

Neighborhood Crime and Psychotropic Medications: A Longitudinal Data Linkage Study of 130,000 Scottish Adults

INTRODUCTION

Although neighborhood crime has been associated with mental health problems, longitudinal research utilizing objective measures of small-area crime and mental health service use is lacking. This study examines how local crime is associated with newly prescribed psychotropic medications in a large longitudinal sample of Scottish adults and explores whether the relationships vary between sociodemographic groups.

METHODS

Data from the Scottish Longitudinal Study, a 5.3% representative sample of the population, were linked with police-recorded crime in 2011 for residential locality and with psychotropic medications from 2009 to 2014, extracted from the prescription data set of National Health Service Scotland. Individuals receiving medication during the first 6 months of observation were excluded; the remaining sample was followed for 5.5 years. Covariate-adjusted, multilevel mixed-effects logistic models estimated associations between area crime and prescriptions for antidepressants, antipsychotics, and anxiolytics (analyzed in 2018-2019).

RESULTS

After adjustment for individual and neighborhood covariates, findings on 129,945 adults indicated elevated risk of antidepressant (OR=1.05, 95% CI=1.00, 1.10) and antipsychotic (OR=1.20, 95% CI=1.03, 1.39), but not anxiolytic (OR=0.99, 95% CI=0.93, 1.05) medication in high-crime areas. Crime showed stronger positive association with antidepressants among individuals (especially women) aged 24-53 years in 2009 and with antipsychotics among men aged 44-53 years in 2009. Skilled workers and people from lower nonmanual occupations had increased risk of medications in high-crime areas.

CONCLUSIONS

Local crime is an important predictor of mental health, independent of individual and other contextual risk factors. Place-based crime prevention and targeting vulnerable groups may have benefits for population mental health.

Understanding the role of service providers, land use, and resident characteristics on the occurrence of mental health crisis calls to the police

Similar to concentrations of crime, mental health calls have been found to concentrate at a small number of places, but few have considered the context of places where mental health calls occur. The current study examines the influence of the physical and social context of street segments, particularly the role of service providers, land use features of the street and nearby area, and characteristics of residents on the likelihood of a mental health crisis call to the police occurring on the street. The findings demonstrate that the social context, such as offending and drug use among residents, levels of social cohesion and community involvement, and drug and violent crime influenced the occurrence of mental health crisis calls. Findings from this study make theoretical and practical contributions to a number of disciplines by improving our understanding of where mental health crisis calls occur and why they are found at specific places.

Perspectives of people with mental health problems at hot spots: Attitudes and perceptions of safety, crime, and the police

People who live in places with high levels of crime and disorder are more likely to experience mental illness compared with those who do not live in these types of place (Weisburd et al., 2018; Weisburd & White, 2019). The increased police presence on high crime streets may also increase the likelihood that these individuals will encounter law enforcement. There is a strong body of literature focused on the relationship between neighborhoods and the physical and mental health of residents (e.g. Arcaya et al., 2016; Duncan & Kawachi, 2018; Leventhal & Brooks-Gunn, 2003), but there are very few studies that look at the perceptions of people with mental illness directly, particularly as they relate to the environment of the street on which they live and attitudes toward the police. In turn, existing studies generally look at the most serious mental health problems (e.g. schizophrenia), ignoring more common mental health concerns such as post-traumatic stress disorder (PTSD) and depression. This paper uses self-report data from a large in-person survey of people who live on crime hot spot and non-hot spot streets in order to assess attitudes among a broader group of persons with mental health problems. Furthermore, we examine the interaction between living in crime hot spots and non-hot spots and perceptions of these residents. Our findings in this broader sample confirm earlier studies that identify greater fear and less trust of the police among persons with mental illnesses. At the same time, our findings suggest that fear of crime and perceptions of police are moderated by living in a crime hot spot.

Posttraumatic Stress Disorder and Job Burnout Among Jail Officers

OBJECTIVE

The aim of this study was to explore posttraumatic stress disorder (PTSD) symptom prevalence and health characteristics among jail correctional officers, a generally understudied population of public safety workers.

METHOD

A Conservation of Resources (COR)-inspired framework explored relationships to PTSD symptoms among jail officers (N = 320) employed in Midwest US jails.

RESULTS

More than half (53.4%) of jail officers screened positively for PTSD. Hierarchical regression analysis indicates that burnout was a significant predictor of symptoms of PTSD (B = 0.25, P < 0.001). Self-efficacy (B = -0.42, P < 0.01), emotional labor (B = 0.20, P < 0.01), and an anxiety- or depression-related diagnosis (B = 0.92, P < 0.001) remained significant predictors of PTSD-related symptoms in the final step.

CONCLUSIONS

Our findings highlight the potentially high prevalence and impact of PTSD among jail officers, and offer implications for public safety workplace health interventions.

Hot Spots of Crime are Not Just Hot Spots of Crime: Examining Health Outcomes at Street Segments

In this paper we seek to identify whether the relationship between health disparities and crime occurs at a micro geographic level. Do hot spot streets evidence much higher levels of mental and physical illness than streets with little crime? Are residents of crime hot spots more likely to have health problems that interfere with their normal daily activities? To answer these questions, we draw upon a large National Institutes of Health study of a sample of hot spots and non-hot spots in Baltimore, Maryland. This is the first study we know of to report on this relationship, and accordingly we present unique descriptive data. Our findings show that both physical and mental health problems are much more likely to be found on hot spot streets than streets with little crime. This suggests that crime hot spots are not simply places with high levels of crime, but also places that evidence more general disadvantage. We argue that these findings have important policy implications for the targeting of health services and for developing proactive prevention programs.

The association between the end of court-ordered school desegregation and preterm births among Black women

Racial segregation, and in particular school segregation, likely plays an important role in affecting health outcomes. To examine this connection, this paper explores the relationship between the end of court-ordered school desegregation and preterm births among Blacks using birth certificate information between 1992 and 2002 (n = 183,178). The end of court-ordered oversight has important implications for the level of racial segregation in schools: If residential segregation remains high, neighborhood-based student assignment plans would naturally increase school segregation. A rise in school segregation may lead to worse educational, labor, and health outcomes among Blacks. Using multiple difference-in-differences framework that exploits variation in exposure to schools that declared unitary status, it finds that school districts’ release from court oversight is associated with a 0.8 percentage point increase in preterm births among Black mothers. This paper contributes to literature that finds that the end of court-ordered school desegregation in the 1990s have negative implications for Blacks. More research should be conducted to understand the causal relationship between school segregation and infant health.