The impact of weather anomalies on violence in the coastal mid-latitudes: a cross-national comparison.

Cross-national studies examining the relationship between weather and crime are rare. Reasons are manifold but include the differences in countries due to geographical, climatic, and seasonal variations. In contrast in this study we examine the causal impact of temperature and rainfall anomalies on violent crime in locations located in two comparable geographic zones: Khayelitsha (in South Africa) and Ipswich (in Australia). We use ANOVA and Tukey's tests to identify statistical meaningful differences (if any) in the impact of these weather anomalies on crime alongside the use of visualisations capturing the anomalous weather-violence relationship in these two contexts. Results show some similarities but also notable differences between locations which we attribute to their inherent socio-demographic differences which we expand upon. We conclude by highlighting the benefits of cross-national crime research, and motivate for its increased application in future research of this nature.

The Relationship Between State-Level Earned Income Tax Credits and Violent Crime.

Policies that provide economic support, such as the earned income tax credit (EITC), improve peoples' ability to meet their basic needs and reduce stress, which can reduce violence perpetration. Refundable state-level EITCs have been associated with decreases in multiple forms of violence (e.g., child abuse and neglect); however, it is unknown whether there is an association between the EITC and violent crime as captured by Uniform Crime Reports. Crime and violence remain a pressing concern for many communities across the nation. Using a longitudinal data set, we conducted fixed-effects regression models with year and state specified as fixed effects, to determine whether variations in generosity of state-level EITCs are related to the rate of violent crime. After adjusting for demographic covariates, refundable state-level EITCs remained significantly associated with reductions in criminal homicide compared to states without an EITC. As many states attempt to combat crime and prevent violence in their communities, anti-poverty measures such as the EITC provide a promising strategy for reducing the social and economic costs associated with violence.

Police shootings, violent crime, race and socio-economic factors in municipalities in the United States of America.

BACKGROUND: Both police shootings and violent crime remain high in the United States of America compared to other developed nations but debates continue about whether race, mental health or other social factors are related to them. AIMS: Our aim was to test relationships between community factors indicative of socio-economic status, racial demographics, police shootings, and violent crime. METHODS: Data on police shootings, violent crime and community sociodemographic factors were drawn from two publicly accessible datasets: health and police records of 100 US municipalities and relationships between them explored using regression analyses. RESULTS: Data were from the 100 largest US municipalities as designated by the mapping police violence database. The median per capital violent crime rate was 5.94 and median killings by police per 10 thousand arrests was 13.7. Violent crime was found to be related mainly to income inequality and lower academic achievement in the community. Race was unrelated to violent crime after controlling for other factors. Police shootings were found to be related to community level mental health concerns, food insecurity and the municipality's violent crime rate. CONCLUSION: The evidence suggests that socio-economic factors are the primary drivers of both violent crime perpetration and police shootings. Policy approaches aimed at improving education and reducing poverty are likely to mitigate both violent crime and police shootings. However, it is important to recognise that being Black is an indicator of particular disadvantage within this context. This underscores the need for comprehensive strategies that address the systemic issues of racial disparities and socio-economic inequality, while also acknowledging the complex interplay of race, poverty and policing in the context of violent crime and police shootings.

Legal Firearm Sales at State Level and Rates of Violent Crime, Property Crime, and Homicides.

INTRODUCTION: The effects of firearm sales and legislation on crime and violence are intensely debated, with multiple studies yielding differing results. We hypothesized that increased lawful firearm sales would not be associated with the rates of crime and homicide when studied using a robust statistical method. METHODS: National and state rates of crime and homicide during 1999-2015 were obtained from the United States Department of Justice and the Centers for Disease Control and Prevention. National Instant Criminal Background Check System background checks were used as a surrogate for lawful firearm sales. A general multiple linear regression model using log event rates was used to assess the effect of firearm sales on crime and homicide rates. Additional modeling was then performed on a state basis using an autoregressive correlation structure with generalized estimating equation estimates for standard errors to adjust for the interdependence of variables year to year within a particular state. RESULTS: Nationally, all crime rates except the Centers for Disease Control and Prevention-designated firearm homicides decreased as firearm sales increased over the study period. Using a naive national model, increases in firearm sales were associated with significant decreases in multiple crime categories. However, a more robust analysis using generalized estimating equation estimates on state-level data demonstrated increases in firearms sales were not associated with changes in any crime variables examined. CONCLUSIONS: Robust analysis does not identify an association between increased lawful firearm sales and rates of crime or homicide. Based on this, it is unclear if efforts to limit lawful firearm sales would have any effect on rates of crime, homicide, or injuries from violence committed with firearms.

Geographic disparities in violent crime during the COVID-19 lockdown in Miami-Dade County, Florida, 2018-2020.

Objectives: This study uses two cluster detection techniques to identify clusters of violent crime during the 3 months of the 2020 COVID-19 lockdown in Miami-Dade County compared to that during an equivalent period in 2018 and 2019. Methods: Violent crime data from the Miami-Dade Central Records Bureau were analyzed. The Local Indicators of Spatial Association statistics and a space-time permutation statistic were used to identify clusters of violent crimes and outliers, and Global Moran's I tool was used to assess spatial patterning in violent crime. Neighborhood disadvantage data were obtained from the American Community Survey 5-year estimates linked with arrest locations. Results: Violent crime arrests fell by 7.1% in 2020. Arrests were concentrated in predominantly Black disadvantaged neighborhoods in the northern part, and similar results were produced for core clusters by the two cluster techniques with positive global Moran's I for all study years. Although accounting for only 17% of the county population, nearly half of violent crime arrests were for Black or African American. Males comprised most violent crime arrests. Conclusions: Crime prevention and intervention efforts should be focused on both high-risk places and offenders.

Deception Cues During High-Risk Situations: 911 Homicide Calls.

During everyday interactions, cues tend to be weakly related to deception. However, there are theoretical reasons to suspect that such cues will be more prominent during high-risk interactions. The current study explored deception cues during one particular high-risk interaction-911 homicide calls placed by adults. In Sample 1, judges coded 911 homicide calls (n = 82) by Q-sorting 86 cues. Results indicated that deceptive callers tended to display emotional cues (e.g., self-dramatizing, moody, worried, emotional, nervous), appeared overwhelmed, and related narratives that lacked structure, clarity, and focus. Judges coded a separate sample of 911 calls (n = 64), and deception scores were computed using a template-matching approach based on the findings from Sample 1. Results indicated that deceptive 911 callers had higher deception scores than honest callers. The effect sizes yielded in this study highlight the relevance of deception cues during high-risk interactions and the usefulness of the person-centered Q-sort method.

Influencing factors of multiple adverse outcomes among schizophrenia patients using count regression models: a cross-sectional study.

BACKGROUND: Schizophrenia patients have increased risks of adverse outcomes, including violent crime, aggressiveness, and suicide. However, studies of different adverse outcomes in schizophrenia patients are limited and the influencing factors for these outcomes need clarification by appropriate models. This study aimed to identify influencing factors of these adverse outcomes by examining and comparing different count regression models. METHODS: This study included schizophrenia patients who had at least one follow-up record in the Guangdong Mental Health Center Network Medical System during 2020. Three types of adverse outcomes were included: a) aggressiveness with police dispatch or violent crime, b) aggressiveness without police dispatch, and c) self-harm or suicide attempts. The incidence density of these adverse outcomes was investigated using the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) models, accordingly. The best model was chosen based on goodness-of-fit tests. We further analyzed associations between the number of occurrences of adverse outcomes and sociodemographic, clinical factors with the best model. RESULTS: A total of 130,474 schizophrenia patients were enrolled. Adverse outcomes rates were reported to be less than 1% for schizophrenia patients in 2020, in Guangdong. The NB model performed the best in terms of goodness-of-fit and interpretation when fitting for the number of occurrences of aggressiveness without police dispatch, whereas the ZINB models performed better for the other two outcomes. Age, sex, and history of adverse outcomes were influencing factors shared across these adverse outcomes. Higher education and employment were protective factors for aggressive and violent behaviors. Disease onset aged ≥ 18 years served as a significant risk factor for aggressiveness without police dispatch, and self-harm or suicide attempts. Family history of mental diseases was a risk factor for self-harm or suicide attempts individually. CONCLUSIONS: NB and ZINB models were selected for fitting the number of occurrences of adverse outcomes among schizophrenia patients in our studies. Influencing factors for the incidence density of adverse outcomes included both those shared across different types and those individual to specific types. Therefore, comprehensive and customized tools in risk assessment and intervention might be necessary.

County-level associations between food retailer availability and violent crime rate.

BACKGROUND: Violent crime (i.e., homicide, armed robbery, aggravated assault, and rape) continues to be a major public health concern in America. Several studies have linked the availability and density of specific features of the retail food environment, such as convenience stores and liquor stores, to violent crime rates due to the criminal activity that often occurs in and near these retailers. Nevertheless, there continues to be limited understanding of how other features (e.g., grocery stores, supercenters, restaurants, etc.) are associated with violent crime occurrence. This study aimed to fill this gap in knowledge by examining U.S. county-level associations between food retailer availability and violent crime rate. METHODS: We analyzed 2014 data on 3108 counties from the U.S. Department of Agriculture's Food Environment Atlas and Department of Justice's Unified Crime Reporting Program. Per capita food retailer measures represented the number of stores per 10,000 county residents. Violent crime rate represented the number of police reported violent crimes per 10,000 county residents. We used spatial lag regression models to assess associations between per capita retailer availability and violent crime rate after adjusting for potential confounders (e.g., % under 18, % Black, % Hispanic, % poverty, population density, etc.). In addition, we examined stratified OLS regression models to evaluate associations by metropolitan county status. RESULTS: Adjusted spatial regression models revealed that greater supercenter availability [ß: 2.42; 95% CI: 0.91-3.93; p-value: 0.001] and greater fast food restaurant availability [ß: 0.30; 95% CI: 0.18-0.42; p-value: < 0.001] were associated with higher violent crime rate. Greater availability of farmers' markets [ß: -0.42; 95% CI: -0.77 - - 0.07); p-value: 0.02] was associated with lower violent crime rate. Associations varied between metropolitan and non-metropolitan counties. Stratified OLS models revealed that greater grocery store availability was associated with lower violent crime rate among metropolitan counties only. Greater fast food restaurant availability was associated with lower violent crime rate among non-metropolitan counties only. CONCLUSIONS: Certain features of the retail food environment appear to be associated with county-level violent crime rates in America. These findings highlight the need for additional research on the influence of food retail and food landscape on violent crime occurrence at the community level.

Nightlife activity and crime: The impact of COVID-19 related nightlife restrictions on violent crime.

OBJECTIVES: The present study examines how varying levels of restrictions on the nightlife economy have impacted violent crime during the COVID-19 pandemic and the extent to which the crime preventive side-effects of restrictions are associated with the density of alcohol outlets. METHODS: The Data stems from geocoded locations of violent crimes combined with data on the density of on-premises alcohol outlets and the level of COVID-19 restrictions in Copenhagen, Denmark. We use a negative binomial count model with cluster robust standard error to assess the effect of the interaction between alcohol outlet density and COVID-related restriction levels on the nightlife economy on the frequency of violent crime. RESULTS: The article reveals how both the level of restrictions on the nightlife economy and the density of alcohol outlets significantly impacted the frequency of violent crime. The regression analysis shows that the effect of restrictions on the nightlife economy depends on the concentration of on-premises alcohol outlets in the area. In areas with a high concentration of outlets, we observe a much higher reduction in crime as consequence of the COVID-19 related restrictions. CONCLUSIONS: The results shows that a more restricted nightlife economy, including earlier closing times, could have a crime preventive effect, especially in areas with a high density of alcohol outlets.

A Spatial Analysis of Alcohol Outlet Density Type, Abandoned Properties, and Police Calls on Aggravated Assault Rates in a Northeastern U.S. City.

Background: Community-based research and prevention scholarship has shown a growing interest in examining the impact of the ecological structure of neighborhoods on community violence. Ecological structures such as higher numbers of alcohol outlets and abandoned/vacant properties in geographically dense, poor, and socially isolated communities are critically important to consider. Further, disadvantaged urban communities are burdened by greater police presence with limited or no abatement in crime or violence. Purpose: Using Geographic Information Systems (GIS) mapping, spatial analysis techniques, and a negative binomial regression analyses, this study investigated the relationships between alcohol outlet density consisting of license C (i.e., combined on and off premises establishments) and license D (i.e., off premises establishments such as liquor stores), abandoned properties, and police calls to service on aggravated assault rates in a Northeastern United States urban city. Results: Negative binomial regression analysis results showed that license C alcohol outlet density count (IRR = 1.36, 95% CI = 1.08, 2.11), license D alcohol outlet density count (IRR = 1.13, 95% CI = 1.01, 1.30), abandoned property count (IRR = 1.28, 95% CI = 1.01, 2.01), and police call to service counts (IRR = 1.24, 95% CI = 1.01, 1.50) were positively associated with aggravated assault rates. Analyses controlled for census data characteristics. Conclusions: The link between alcohol outlet density and violent crime has been established in public health research. However, this study represents an important contribution in recognizing the unique relationships between license C and license D alcohol outlet density, abandoned properties, and police calls to service with aggravated assaults in an urban neighborhood. Conclusions are drawn for policy and practice.

Exploring the relationship between strip clubs and rates of sexual violence and violent crime.

AIMS: We examined whether (a) the number of strip clubs per capita and (b) the proportion of clubs with "high-risk characteristics" were significantly associated with rates of sexual violence (SV) and other violent crime at the county level. METHODS: Using large, public data sets, we tested effects across 926 counties (13 U.S. states), controlling for percent below the poverty line and alcohol outlets per capita. RESULTS: We found that rates of strip clubs were significantly associated with violent crime, but not SV, in all but one model (accounting for Saturday hours). Counties with greater proportions of "high-risk" strip clubs (i.e., greater days and hours of operation, drink specials, full-nudity policies, or private rooms) have higher rates of SV. All models, except the full-nudity policy model, demonstrated increased rates of violent crime. CONCLUSIONS: These results provide information for community-level violence prevention and equips stakeholders with information to create safer communities.

Sexual homicide in Australia and New Zealand: a description of offenders, offences and victims.

The field of sexual homicide research is relatively recent, with many existing studies limited by small sample sizes and sampling bias. In Australia and New Zealand specifically, only one study to date addresses this phenomenon but there is a lack of comprehensive descriptive data. This study aims to fill this research gap using a representative sample gathered from public legal databases. A total of 118 cases of sexual homicide offenders are described to create a portrait of this type of offender, their victims and their offence behaviour. Findings are similar to those found in other large samples from the UK, Canada and Germany. Because this crime is rare and practitioners tend to have limited experience of them, the findings of this research have the potential to inform investigative, criminal justice and clinical practice.

A State-Level Analysis of Mortality and Google Searches for Pornography: Insight from Life History Theory.

Due to the widespread popularity of pornography, some studies explored which individual factors are associated with the frequency of pornography use. However, knowledge about the relationship between socioecological environment and pornography consumption remains scant. Based on life history theory, the current research investigated the association between state-level mortality and search interest for pornography using Google trends. We observed that, in the U.S., the higher mortality or violent crime rate in a state, the stronger search interest for pornography on Google. The results expand the literature regarding the relationship between socioecological environment and individuals' online sexual behavior at the state level.

Paternal violent criminality and preterm birth: a Swedish national cohort study.

BACKGROUND: Fathers may affect expectant mothers' daily living situations, which in turn might influence pregnancy outcomes. We investigated the association between paternal violent criminality and risk of preterm birth (≤36 weeks). METHODS: We conducted a register-based study with all live singleton births in the Swedish Medical Birth Register from 1992 to 2012, linked with records of paternal violent crime convictions from the National Crime Register from 1973 to 2012. RESULTS: Paternal violent criminality was associated with increased risk of preterm birth and lower gestational age. The association was especially pronounced among infants of reoffenders: men convicted of three or more violent crimes (adjusted odds ratio [aOR] 1.23 [95% CI 1.17, 1.29]). Maternal half sibling-comparisons, an analytic approach controlling for maternal factors stable across pregnancies, also suggested increased risk of preterm birth and lower gestational age when exposed to a violently reoffending father compared to a father without violent criminal convictions (aOR 1.30 [0.99, 1.72], adjusted mean difference - 1.07 [- 1.78, - 0.36]). CONCLUSIONS: Persistent paternal violent criminality was associated with increased risk of preterm birth, even after controlling for maternal characteristics that did not change between pregnancies.

A Spatial Analysis of Alcohol Outlet Density and Abandoned Properties on Violent Crime in Paterson New Jersey.

Alcohol outlet density (AOD) and abandoned or vacant properties in under-served urban communities has received increased attention and has been linked to community violence. While previous research has examined the AOD and violent crime association, less research has investigated the relationship between abandoned properties and violent crime. Those studies that are present examining the AOD-abandoned properties-violent crime link have been plagued by flaws that include statistical weaknesses and aggregated datasets that investigated larger units such as states or countries. The present study, using Geographic Information Systems (GIS) mapping, spatial analysis techniques, and a regression-based approach examines the association between AOD and abandoned properties on violent crime, controlling for demographic characteristics, in Paterson, New Jersey. Results provide some evidence on the association between AOD and abandoned properties on violent crime, drawing conclusions for policy and practice.

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.

Neighborhood violent crime and adolescent relationship aggression.

Research has shown that neighborhoods play a role in the etiology of violence. However, few adolescent relationship aggression (ARA) studies have objective measures of violent neighborhoods. Drawing on a nationally representative sample of youth, this study examines the association between ARA and local levels of violent crime (measured using geocoded Uniform Crime Report data from each of the youths' residential neighborhoods). Study analyses are based on survey data from 723 youth (ages 10-18) in current or recent dating relationships (351 males and 372 females) in the Survey on Teen Relationships and Intimate Violence (STRiV), a national representative household panel survey exploring interpersonal violence and related aggression among adolescents. About 19% of the sample reported ARA victimization in their most recent dating relationship (ARA perpetration was 17%). Neighborhood violent crime in the study (males living in 86.9 and females 99.8) was slightly lower than the national average of 100. With a broad national sample, 40% non-Whites, hypotheses guided by theories of neighborhood influence were tested. The study did not find an association between neighborhood violent crime and ARA victimization and perpetration, controlling for key demographic factors. The results, for a broad range of high- and low-crime neighborhoods, suggest that neighborhood violence does not seem to affect individual rates of ARA. The results suggest the ARA victimization and perpetration are perhaps ubiquitous and found both in low and high violent crime neighborhoods, suggesting that addressing local violent crime rates alone does not seem to be a path to also reducing ARA.

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.

Exposure to Family Violence of Israeli Inmates: Does Sex Make a Difference?

The purpose of the current study was to examine differences by sex (a) in history of child abuse and neglect (CAN) and exposure to parental partner violence (PPV); and (b) in the association of CAN and PPV with violent offenses, substance use, suicidal behavior, and psychiatric problems. This cross-sectional study investigated sex differences in CAN and exposure to PPV in a sample of 290 Israeli inmates (65 women and 225 men). Participants completed a self-report measures of the Childhood Trauma Questionnaire, and the revised Conflict Tactics Scale to measure PPV. The findings indicated that the female inmates had experienced significantly more sexual abuse (p < .001), and more exposure to PPV (p = .030), compared with male inmates. Female inmates who had experienced CAN were at higher risk of committing violent offenses than male inmates and female inmates were also more likely than male inmates to have been engaged in suicidal behaviors (39.3% and 18.5%, respectively), and to have had psychiatric problems (40% and 14.2%, respectively). The findings also revealed that psychiatric problems and suicidal behavior can be predicted by CAN and family substance use. The findings highlight the effects of the adverse childhood experience of exposure to CAN and PPV on behavioral problems. Appropriate treatment requires simultaneous intervention that targets all three issues of childhood trauma, substance use disorders, and psychiatric problems for both sexes.

Methods for Evaluating the Association Between Alcohol Outlet Density and Violent Crime.

BACKGROUND: The objective of this analysis was to compare measurement methods-counts, proximity, mean distance, and spatial access-of calculating alcohol outlet density and violent crime using data from Baltimore, Maryland. METHODS: Violent crime data (n = 11,815) were obtained from the Baltimore City Police Department and included homicides, aggravated assaults, rapes, and robberies in 2016. We calculated alcohol outlet density and violent crime at the census block (CB) level (n = 13,016). We then weighted these CB-level measures to the census tract level (n = 197) and conducted a series of regressions. Negative binomial regression was used for count outcomes and linear regression for proximity and spatial access outcomes. Choropleth maps, partial R2 , Akaike's Information Criterion, and root mean squared error guided determination of which models yielded lower error and better fit. RESULTS: The inference depended on the measurement methods used. Eight models that used a count of alcohol outlets and/or violent crimes failed to detect an association between outlets and crime, and 3 other count-based models detected an association in the opposite direction. Proximity, mean distance, and spatial access methods consistently detected an association between outlets and crime and produced comparable model fits. CONCLUSIONS: Proximity, mean distance, and spatial access methods yielded the best model fits and had the lowest levels of error in this urban setting. Spatial access methods may offer conceptual strengths over proximity and mean distance. Conflicting findings in the field may be in part due to error in the way that researchers measure alcohol outlet density.