Quantifying species biases among multidata sources on illegal wildlife trade and its implications for conservation.

Unsustainable wildlife consumption and illegal wildlife trade (IWT) threaten biodiversity worldwide. Although publicly accessible data sets are increasingly used to generate insights into IWT, little is known about their potential bias. We compared three typical and temporally corresponding data sets (4204 court verdicts, 926 seizure news reports, and 219 bird market surveys) on traded birds native to China and evaluated their possible species biases. Specifically, we evaluated bias and completeness of sampling for species richness, phylogeny, conservation status, spatial distribution, and life-history characteristics among the three data sets when determining patterns of illegal trade. Court verdicts contained the largest species richness. In bird market surveys and seizure news reports, phylogenetic clustering was greater than that in court verdicts, where songbird species (i.e., Passeriformes) were detected in higher proportions in market surveys. The seizure news data set contained the highest proportion of species of high conservation priority but the lowest species coverage. Across the country, all data sets consistently reported relatively high species richness in south and southwest regions, but markets revealed a northern geographic bias. The species composition in court verdicts and markets also exhibited distinct geographical patterns. There was significant ecological trait bias when we modeled whether a bird species is traded in the market. Our regression model suggested that species with small body masses, large geographical ranges, and a preference for anthropogenic habitats and those that are not nationally protected were more likely to be traded illegally. The species biases we found emphasize the need to know the constraints of each data set so that they can optimally inform strategies to combat IWT.

Cuantificación del sesgo por especies entre fuentes de datos múltiples para el mercado ilegal de fauna y lo que implica para la conservación Resumen El consumo insostenible y el comercio ilegal de fauna y flora silvestres amenazan la biodiversidad en todo el mundo. Aunque los conjuntos de datos de acceso público se utilizan cada vez más para obtener información sobre el mercado ilegal de especies silvestres, se sabe poco sobre su posible sesgo. Comparamos tres conjuntos de datos típicos con correspondencia temporal (4,204 sentencias judiciales, 926 informes de noticias sobre incautaciones y 219 encuestas sobre mercados de aves) de aves autóctonas de China objeto de comercio y evaluamos sus posibles sesgos por especie. En concreto, evaluamos el sesgo y la exhaustividad del muestreo de la riqueza de especies, la filogenia, el estado de conservación, la distribución espacial y las características del ciclo vital entre los tres conjuntos de datos a la hora de determinar los patrones del mercado ilegal. Las sentencias judiciales contenían la mayor riqueza de especies. En los estudios de mercado de aves y en los informes de noticias sobre incautaciones, la agrupación filogenética fue mayor que en las sentencias judiciales, donde las especies de aves canoras (Passeriformes) se detectaron en mayor proporción en los estudios de mercado. El conjunto de datos de noticias sobre decomisos contenía la mayor proporción de especies de alta prioridad para la conservación, pero la menor cobertura de especies. En todo el país, todos los conjuntos de datos informaron sistemáticamente de una riqueza de especies relativamente alta en las regiones sur y suroeste, pero los mercados revelaron un sesgo geográfico septentrional. La composición por especies en los veredictos judiciales y en los mercados también mostró patrones geográficos distintos. Hubo un sesgo significativo de rasgos ecológicos cuando modelamos si una especie de ave se comercializa en el mercado. Nuestro modelo de regresión sugería que las especies con masas corporales pequeñas, grandes áreas de distribución geográfica y preferencia por los hábitats antropogénicos y las especies que no están protegidas a nivel nacional tenían más probabilidades de ser objeto de comercio ilegal. Los sesgos de las especies que hallamos resaltan la necesidad de conocer las limitaciones de cada conjunto de datos para poder informar de manera óptima las estrategias de lucha contra el comercio ilegal de especies silvestres.

From Tweets to Streets: Observational Study on the Association Between Twitter Sentiment and Anti-Asian Hate Crimes in New York City from 2019 to 2022.

BACKGROUND: Anti-Asian hate crimes escalated during the COVID-19 pandemic; however, limited research has explored the association between social media sentiment and hate crimes toward Asian communities. OBJECTIVE: This study aims to investigate the relationship between Twitter (rebranded as X) sentiment data and the occurrence of anti-Asian hate crimes in New York City from 2019 to 2022, a period encompassing both before and during COVID-19 pandemic conditions. METHODS: We used a hate crime dataset from the New York City Police Department. This dataset included detailed information on the occurrence of anti-Asian hate crimes at the police precinct level from 2019 to 2022. We used Twitter's application programming interface for Academic Research to collect a random 1% sample of publicly available Twitter data in New York State, including New York City, that included 1 or more of the selected Asian-related keywords and applied support vector machine to classify sentiment. We measured sentiment toward the Asian community using the rates of negative and positive sentiment expressed in tweets at the monthly level (N=48). We used negative binomial models to explore the associations between sentiment levels and the number of anti-Asian hate crimes in the same month. We further adjusted our models for confounders such as the unemployment rate and the emergence of the COVID-19 pandemic. As sensitivity analyses, we used distributed lag models to capture 1- to 2-month lag times. RESULTS: A point increase of 1% in negative sentiment rate toward the Asian community in the same month was associated with a 24% increase (incidence rate ratio [IRR] 1.24; 95% CI 1.07-1.44; P=.005) in the number of anti-Asian hate crimes. The association was slightly attenuated after adjusting for unemployment and COVID-19 emergence (ie, after March 2020; P=.008). The positive sentiment toward Asian tweets with a 0-month lag was associated with a 12% decrease (IRR 0.88; 95% CI 0.79-0.97; P=.002) in expected anti-Asian hate crimes in the same month, but the relationship was no longer significant after adjusting for the unemployment rate and the emergence of COVID-19 pandemic (P=.11). CONCLUSIONS: A higher negative sentiment level was associated with more hate crimes specifically targeting the Asian community in the same month. The findings highlight the importance of monitoring public sentiment to predict and potentially mitigate hate crimes against Asian individuals.

Differences in toxicology reports and hospital emergency care for patients suspected of experiencing drug-facilitated crimes: an analysis according to gender. / Atención de pacientes con sospecha de sumisión química en un servicio de urgencias hospitalario y resultados del análisis toxicológico: diferencias según el sexo.

OBJECTIVE: To analyze gender-related differences in patient and care characteristics and in toxicology findings in suspected cases of drug facilitated crime (DFC). METHODS: Observational cross-sectional study of all patients in suspected DFC cases attended in the emergency department of Hospital Clínico San Carlos and of their blood or urine samples analyzed by the National institute of Toxicology and Forensics in Madrid between March 1, 2015, and March 1, 2023. We analyzed variables from patient records and the toxicology reports according to gender. RESULTS: A total of 514 suspected DFC episodes were studied; 101 (19.6%) were proactive crimes, 61 (11.9%) opportunistic, and 352 (68.5%) mixed. The median (interquartile range) age was 25 years (21-34 years), and 370 (72%) were women. Eighty-three percent of the patients had amnesia, and 48% of the cases involved sexual assault or robbery. Toxicology identified substances in 78% of the patients (alcohol, 53%; street drugs, 37%; and/or psychopharmaceuticals or opioids, 23%). Independent variables associated with female gender in the multivariate analysis, according to adjusted odds ratio (aORs) were age less than 25 years (aOR, 2.73; 95% CI, 1.75 4.24; P < .001); physician-referred emergency (aOR, 1.77; 95% CI, 1.12-2.80; P = .03); robbery (aOR, 0.25; 95% CI, 0.15-0.41; P < .001); alcohol-positive test result (aOR, 1.91; 95% CI, 1.21-3.00; P = .01); and a drug-positive result (aOR, 0.43; 95% CI, 0.28-0.64; P < .001). Police and a forensic physician intervened in 13% of the cases, and in such cases the victim was more likely to be female (aOR, 3.97; 95% CI, 1.41-11.13; P < .001). Toxicology identified the presence of an unknown substance in 39%, and a woman was less likely to be involved in such cases (aOR, 0.43; 95% CI, 0.28-0.67; P < .001). CONCLUSIONS: The majority of victims of DFCs were female, and the crimes were mixed, involving involve alcohol, psychopharmaceuticals or street drugs. Female victims were more likely to be under the age of 25 years, be referred to the emergency service by a physician, be attended by a forensic physician for sexual assault, and have an alcoholpositive toxicology report. Women were also less likely to report a robbery or have a toxicology report identifying drugs or an unknown substance.

OBJETIVO: Analizar las diferencias en las características de los pacientes atendidos por sospecha de sumisión química (SQ) y en los resultados del análisis toxicológico (AT) en función del sexo. METODO: Estudio observacional transversal retrospectivo que incluyó a todos los casos con SQ atendidos en el servicio de urgencias del Hospital Clínico San Carlos y las muestras (sangre o orina) para el AT en el Instituto Nacional de Toxicología y Ciencias Forenses de Madrid entre el 1 de marzo de 2015 y el 1 de marzo de 2023. Se analizan variables de la historia clínica y del AT según el sexo. RESULTADOS: Se incluyeron 514 episodios con sospecha de SQ [101 (19,6%) proactiva, 61 (11,9%) oportunista y 352 (68,5%) mixta] en pacientes con una mediana de 25 años (RIC: 21-34), 370 (72%) de sexo femenino. El 83% presentó amnesia y el 48% asoció agresión sexual o robo. En el 78% se identificó alguna sustancia en el AT (53% alcohol etílico, 37% drogas y/o 23% psicofármaco u opiáceos). En el análisis multivariado las variables que se asociaron de manera independiente con el sexo femenino fueron la edad menor de 25 años con ORa de 2,73 (IC 95%: 1,75-4,24; p < 0,001), con médico deriva a urgencias con ORa de 1,77 (IC 95%: 1,12-2,80; p = 0,03), delito de robo con de ORa 0,25 (IC 95%: 0,15-0,41; p < 0,001), alcohol etílico en el AT con ORa 1,91 (IC 95%: 1,21-3,00; p = 0,01) y alguna droga en el AT con ORa 0,43 (IC 95%: 0,28-0,64; p < 0,001). En el 13% de casos hubo intervención policial y médico-forense y fue más probable que fuera a una mujer, con ORa 3,97 (IC 95%: 1,41-11,13; p < 0,001). En el 39% de AT se identificó alguna sustancia desconocida y fue menos probable que fuera mujer, con ORa de 0,43 (IC 95%: 0,28-0,67; p < 0,001). CONCLUSIONES: La mayoría de casos registrados fueron mujeres con sospecha de SQ mixta por alcohol, psicofármacos o drogas de abuso. Las mujeres presentaron mayor probabilidad de tener menos de 25 años, ser derivada a urgencias por un médico, de intervención médico-forense por agresión sexual y encontrar alcohol etílico en el AT.

Does Escalating Violence and Associated Fear of Crime Worsen Psychological Well-Being in Community Dwellers Living in a Rural Setting? Results From the Atahualpa Project Cohort.

BACKGROUND: Escalating street violence and criminal homicides have an adverse impact on psychological well-being. However, these consequences have been difficult to evaluate. Using a recently validated scale, we aimed to assess the impact of fear of crime on the psychological status of middle-aged and older adults living in a rural setting afflicted by endemic violence. METHODS: Participants were selected from Atahualpa residents included in previous studies targeting psychological distress in the population. A validated scale was used to objectively quantify fear of crime in participants. Differences in symptoms of depression and anxiety between baseline and follow-up were used as distinct dependent variables and the continuous score of the fear of crime scale was used as the independent variable. Linear regression models were fitted to assess the association between the exposure and the outcomes, after adjusting for relevant confounders. RESULTS: A total of 653 participants (mean age = 53.2 ± 11.5 years; 57% women) completed the requested tests. We found a 13% increase in symptoms of depression and anxiety during the peak of violence in the village compared with previous years. Linear regression models showed a significant association between the total score on the fear of crime questionnaire and worsening symptoms of depression (ß = .24; 95% CI = 0.14-0.35) and anxiety (ß = .31; 95% CI = 0.24-0.37), after adjustment for relevant confounders. CONCLUSIONS: This study shows a significant aggravating effect of fear of crime on pre-existing symptoms of depression and anxiety and a deleterious effect of these conditions on overall well-being.

Are the geographic disparities in U.S. violent crime rising?

Inequality in economic and social outcomes across U.S. regions has grown in recent decades. The economic theory of crime predicts that this increased variability would raise geographic disparities in violent crime. Instead, I find that geographic disparities in homicide rates decreased. Moreover, these same decades saw decreases in the geographic disparities in policing, incarceration, and the share of the population that is African American. Thus, changes in policing, incarcerations, and racial composition could have led to a decrease in inequality in homicide rates. Moreover, the joint provision of law enforcement by local, state, and federal authorities may have reduced the impact of economic distress on violent crime.

Tidligere kriminalitet og psykisk helsehjelp hos personer med soningserfaring som blir dømt til tvungent psykisk helsevern.

Background: In the period 2002-2020, a total of 431 people were sentenced to coercive mental health care. Many of these had served time in prison, either previously or in connection with the criminal acts that led to the current sentences. This study examines the background, criminal history and mental health status of individuals before they committed the offences that led to their imprisonment. Material and method: Data from the Norwegian Correctional Service's Register of Imprisonments, the Register of Convictions, the Norwegian Patient Registry and Statistics Norway were used to study former prisoners who were sentenced to coercive mental health care in the period 2002-2020, who had served prison terms. Results: Among 286 former prisoners who were sentenced to coercive mental health care, 246 (86.0 %) had previous convictions, and 140 (49.0 %) had previously had criminal charges dropped due to doubt as to criminal culpability. Previous psychiatric illness in the last two years was studied in 186 individuals. Of these, 151 (81.2 %) had undergone treatment in the mental health service, with psychotic disorders (106/186 (57.0 %)) and substance use disorders (109/186 (58.6 %)) being the most common diagnoses. Interpretation: Former prisoners who are sentenced to coercive mental health care tend to have an extensive criminal and mental health care history prior to committing criminal acts that lead to coercive mental health care.

Risk and protective factors of youth crime: An umbrella review of systematic reviews and meta-analyses.

INTRODUCTION: Several systematic reviews and meta-analyses have been conducted on the risk and protective factors of youth crime. This study aims to consolidate this evidence using an umbrella review methodology. METHODS: A systematic electronic search was conducted using multiple electronic databases. Strength of associations was evaluated using quantitative umbrella review criteria, and AMSTAR was used to assess the quality of the studies. RESULTS: Among the 58 factors identified, 11 factors were supported by highly suggestive or suggestive evidence. Evidence of association was highly suggestive (class II) for substance use (odds ratio [OR] = 2·29, 95%CI 1·58-3.01), previous history of crime (OR = 2·03, 95%CI 1·62-2·45), moral development (OR = 3·98, 95%CI 3·57-4·39), psychopathology (OR = 2·22, 95%CI 1.40-2.69), adverse childhood experiences (OR = 1·37, 95%CI = 1·36-1·38), poor parental supervision (OR = 1·85, 95%CI 1·83-1·87), maltreatment or neglect (OR = 1·34, 95%CI 1·08-1·65), attachment (OR = 1·94; 95%CI 1.93-1·95), and school bullying (OR = 2·50; 95%CI 2·03-3·08); and suggestive (class III) for peer pressure (OR = 2·11, 95%CI 2·06-2·16) and supportive school environments (OR = 0·56; 95%CI 0·55-0·57). CONCLUSION: The evidence-based atlas of key risk and protective factors identified in this umbrella review could be used as a benchmark for advancing research, prevention, and early intervention strategies for youth crime.

Understanding the relationship between intergenerational mobility and community violence.

Violence is a key mechanism in the reproduction of community disadvantage. The existing evidence indicates that violence in a community impacts the intergenerational mobility of its residents. The current study explores the possibility of a reverse relationship. This study provisionally tests the hypothesis that depressed intergenerational mobility in a community may also spark subsequent community violence. We deploy a county measure of intergenerational mobility captured during early adulthood for a cohort of youth born between 1980 and 1986 and raised in low-income families [R. Chetty, N. Hendren, Quart. J. Econom. 133, 1163-1228 (2018)]. We model the relationship between county mobility scores and two county-level outcomes: violent crime and homicide. We find that a county's level of intergenerational mobility as measured by the Chetty-Hendren data is a major predictor of its rate of violent crime and homicide in 2008, when the youth in Chetty's mobility cohort were young adults (the same age the mobility measure was captured). In fact, mobility is a significantly stronger and more consistent predictor of community violent crime and homicide rates than more commonly used factors like poverty, inequality, unemployment, and law enforcement presence.

Effect of pachinko parlour openings and closings on neighbourhood income-generating crimes in Japan: 6.5 years of observations.

BACKGROUND: Electronic gambling machines (EGMs) in gambling venues cause gambling-related harm and are a public health concern. This study focused on pachinko parlours as gambling venues and income-generating crimes as gambling-related harm. We aimed to verify whether income-generating crime rates increase in proximity to pachinko parlours and during the opening and post-closing periods of pachinko parlours relative to the pre-opening periods. METHODS: We used crime records spanning 6.5 years, including data on the opening and closing days of pachinko parlours for 6.5 years. We also sampled the addresses of convenience stores, bowling alleys, and households with official land prices all over Japan. The dependent variable was the daily income-generating crime incidence rate. Areas within 0.5 km, 0.5-1 km, 1-5 km, and 5-10 km radii of the pachinko parlours were the independent variables. The pre-, opening-, and post-closing periods of the pachinko parlours were also independent variables. The covariates included the number of convenience stores and always open pachinko parlours near pachinko parlours. Data were analysed using an analysis of variance (ANOVA) and covariance (ANCOVA). We also used differences-in-differences analysis (DD) to reveal the increase in income-generating crime rates in neighbourhoods exposed to the opening or closing of pachinko parlours. RESULTS: The daily income-generating crime incidence rate was significantly higher in areas within 0.5-1 km and 1-5 km radii of pachinko parlours than in those within 0.5 km and 5-10 km radii of them. The daily income-generating crime incidence rate was also significantly higher during the opening and post-closing periods than during the pre-opening period, even when controlling for the number of convenience stores and always open pachinko parlours. In particular, fraud crime rates increased with the opening and closing of pachinko parlours. CONCLUSIONS: The highest income-generating crime incidence rate was observed within a 0.5-1 km and 1-5 km radius of pachinko parlours. The opening of pachinko parlours also increased income-generating crime incidence rates, which increased after closing. Pachinko parlours are considered to be creating public harm because the corporate activities of these parlours make the youth in their neighbourhood perpetrators of fraud and older adults its victims. Future research should examine the current findings using official crime records.

Crime against women in India: district-level risk estimation using the small area estimation approach.

Background: The global prevalence of crimes against women has made it an enduring public health challenge that has persisted over time. The achievement of the 2030 Sustainable Development Goal (SDG) is intricately tied to the actions taken to prevent these crimes as their repercussions directly affect progress across various SDGs. This study aimed to provide a comprehensive examination of the prevalence of crimes against women across districts and states in India, analyzing changes from 2020 to 2022, and subsequently identifying associated factors. Methods: The study is an ecological analysis conducted across all districts of India using the data on crimes against women for the period 2020 and 2022 obtained from the National Crime Records Bureau (NCRB) of India. A small area estimation method was used to obtain district-level relative risks of crime against women for both periods. Hotspot analysis was carried out to identify the current hotspots and coldspots. Further spatial regression was used to identify the factors associated with crimes against women in the year 2022. Results: The results indicated a rise in the reported crime against women cases between 2020 and 2022. The rate of crimes against women at the national level was found to be 57 in the year 2020, whereas, in 2022, it increased to 67. The highest crime rate in the year 2022 was found to be 145 in Delhi, while Nagaland had the lowest crime rate of 5. The relative risk of crime against women varied from 0.046 to 4.68 in 2020, while in 2022, it spanned from 0.02 to 6.10. Significant hotspots were found in parts of Rajasthan, Madhya Pradesh, Haryana, Telangana, and Odisha. The results of the spatial error regression model showed that the sex ratio and the population density of the district have significant associations with the occurrence of crimes against women. Conclusion: The rise in the incidence of crime against women emphasizes the importance of tackling the spatial inequality in relative risk across Indian districts. By thoughtfully addressing this variation and conducting targeted studies in high-risk areas, we can enhance our understanding of the obstacles to implementing effective measures against violence targeting women.

Law enforcement-led, pre-arrest diversion-to-treatment may reduce crime recidivism, incarceration, and overdose deaths: Program evaluation outcomes.

INTRODUCTION: Substance use disorder (SUD), overdose, and drug use-related crime continue to increase in the U.S. Pre-arrest diversion-to-treatment programs may decrease crime recidivism and overdose deaths. We assessed the impact of a community-wide diversion-to-treatment initiative on crime, incarceration, and overdose. METHODS: This article reports on the prospective evaluation of a law enforcement-led, pre-arrest diversion-to-treatment program on crime, incarceration, and overdose deaths compared between participants who did not engage (non-engaged; n = 103), engaged but did not complete (non-completers; n = 60) and completed (completers; n = 100) the program. Participants included 263 adults apprehended by police officers for low-level, drug use-related crimes between September 1, 2017 and August 31, 2020. The program offered eligible persons participation in a six-month program consisting of a clinical assessment, referral to addiction treatment services based on each individual's needs, connection to recovery peer support, and treatment engagement monitoring. Completers had their initial criminal charges 'voided,' while non-engaged and non-Completer participants had their original charges filed with local prosecutors. The project collected participant-level data on arrests and incarceration within 12 months before and 12 months after program enrollment and data on fatal overdose within 12 months after program enrollment. Logistic regression predicted outcomes using baseline demographics (sex, age, race, housing status) and pre-index crime arrest and incarceration indices as covariates. RESULTS: After accounting for baseline demographics and pre-enrollment arrest/incarceration history, logistic regression models found that the non-engaged and the non-Completer groups were more likely than completers to be arrested (odds ratios [ORs]: 3.9 [95 % CI, 2.0-7.7] and 3.6 [95 % CI, 1.7-7.5], respectively) and incarcerated (ORs: 10.3 [95 % CI, 5.0-20.8] and 21.0 [95 % CI, 7.9-55.7], respectively) during the 12-month follow-up. Rates of overdose deaths during the 12-month follow-up were greatest in non-engaged (6/103, 5.8 %) and non-Completer (2/60, 3.3 %) groups; completers had the lowest rate (2/100, 2.0 %), with all deaths occurring after completion of the six-month treatment/monitoring program. CONCLUSIONS: Collaboration between law enforcement, clinicians, researchers, and the broader community to divert adults who commit a low-level, drug use-related crime from criminal prosecution to addiction treatment may effectively reduce crime recidivism, incarceration, and overdose deaths.

Gender-Specific Pathways in Violent Crime: Investigating the Role of Demographic and Mental Health Factors Using Mixed Graphical Models and Bayesian Networks.

This research aims to uncover gender-specific relationships and pathways that contribute to the perpetration of violent crimes, using sophisticated analytical tools to analyze the complex interactions between various factors. Employing Mixed Graphical Models and Bayesian networks, the study analyzes a sample of 1,254 prisoners (61.64% males and 38.36% females) to investigate the relationships among demographic factors, mental health issues, and violent crime. The study utilizes comprehensive measures, including the Beck Depression Inventory, Beck Anxiety Inventory, and Childhood Trauma Questionnaire, to assess participants' mental health status.Key findings reveal significant gender differences in the pathways to violent crime. For males, incomplete parental marriages strongly correlate with criminal behavior severity, while marriage status emerges as a significant factor, with married males less likely to commit violent crimes. In contrast, these relationships are not significant for females. Bayesian network analysis indicates that living in urban areas differently influences education and emotional expression across genders, emphasizing the importance of contextual factors. The study highlights the need for gender-specific considerations in criminal justice policies and interventions. It underscores the complex interplay of demographic and mental health factors in influencing violent crime pathways, providing insights for developing more effective prevention strategies. Despite its cross-sectional design and reliance on self-reported data, the research significantly contributes to understanding the gendered dimensions of criminal behavior.

Exposure to Crime and Racial Birth Outcome Disparities.

Urban communities in the United States were transformed at the end of the twentieth century by a rapid decline in neighborhood crime and violence. We leverage that sharp decline in violence to estimate the relationship between violent crime rates and racial disparities in birth outcomes. Combining birth certificate data from US counties with the FBI's Uniform Crime Reporting statistics from 1992 to 2002, we show that lower crime rates are associated with substantially smaller Black-White disparities in birth weight, low birth weight, and small for gestational age. These associations are stronger in more segregated counties, suggesting that the impacts of the crime decline may have been concentrated in places with larger disparities in exposure to crime. We also estimate birth outcome disparities under the counterfactual that the crime decline did not occur and show that reductions in crime statistically explain between one-fifth and one-half of the overall reduction in Black-White birth weight, LBW, and SGA disparities that occurred during the 1990s. Drawing on recent literature showing that exposure to violent crime has negative causal effects on birth outcomes, which in turn influence life-course outcomes, we argue that these results suggest that changes in national crime rates have implications for urban health inequality.

Drugs, crime, and racial disparities in the homeless population gathered from a sample of police reports: Evidence from Brazil.

Brazil is one of the most unequal democracies in the world. Although the number of homeless individuals in our country has increased due to the reproduction of people living in extreme poverty, little has been discussed about their welfare and rights. In the present study, we provide analysis with a theoretical-methodological approach directed at homeless people living in the wealthy neoliberal middle-sized southeast city of São Paulo, Brazil's richest state. Data was acquired from police reports with prior permission from the Civil Police of São Paulo and the São Paulo Interior Judiciary Police Department. Our results illustrate that the homelessness phenomenon in Franca appears to be comparable to that of other large urban cities, where Blacks, a minority of the population, make up the bulk of homeless individuals. It also denies that homeless activity increases criminality, emphasizes the difference between Blacks and Whites drug users' criminal behavior, with Whites being more active in theft and robbery and Blacks in trafficking, and extends the idea that drug use by homeless people is stress-related and hence an indicator of a health condition.

Gentrification and crime in Buffalo, New York.

Since the 1990s, gentrification has significantly changed American urban landscapes. Its implications for crime are under recent scrutiny, particularly in large cities like New York City, Los Angeles, and Chicago. We extend this literature by focusing on the gentrification-crime link in the midsize city of Buffalo, New York using nine years of data from the American Community Survey and the Buffalo Police Department. Examining changes both within tracts over time and changes between gentrified and never-gentrified tracts, we find that gentrification is associated with reduced property crime and is not associated with changes in violent crime. More specifically, in comparing crime trends across tracts, we find that gentrified tracts show a trajectory of declining property crime that mirrors more advantaged tracts, while vulnerable-but-never-gentrified tracts show a U-shaped trajectory of property crime. Looking at within-tract changes, we find that years following gentrification of a given tract have lower property crime rates than years preceding gentrification, independent of the general reduction in crime over time. We discuss the implications of these findings for understanding the intersections between urban processes and crime.

Do digital technologies reduce racially biased reporting? Evidence from NYPD administrative data.

Recent work has emphasized the disproportionate bias faced by minorities when interacting with law enforcement. However, research on the topic has been hampered by biased sampling in administrative data, namely that records of police interactions with citizens only reflect information on the civilians that police elect to investigate, and not civilians that police observe but do not investigate. In this work, we address a related bias in administrative police data which has received less empirical attention, namely reporting biases around investigations that have taken place. Further, we investigate whether digital monitoring tools help mitigate this reporting bias. To do so, we examine changes in reports of interactions between law enforcement and citizens in the wake of the New York City Police Department's replacement of analog memo books with mobile smartphones. Results from a staggered difference in differences estimation indicate a significant increase in reports of citizen stops once the new smartphones are deployed. Importantly, we observe that the rise is driven by increased reports of "unproductive" stops, stops involving non-White citizens, and stops occurring in areas characterized by a greater concentration of crime and non-White residents. These results reinforce the recent observation that prior work has likely underestimated the extent of racial bias in policing. Further, they highlight that the implementation of digital monitoring tools can mitigate the issue to some extent.

Same-Sex Relationships and Criminal Behavior: A Total Population Study in The Netherlands.

Sexual minority groups experience elevated risk across a range of adverse outcomes. Previous studies from the USA showed that these risks include contact with the criminal justice system for sexual minority females but not for males. This study examined whether this relationship between sexual minority status and criminal behavior was also found in a more secular country like the Netherlands with more progressive attitudes toward sexual minorities. Furthermore, the study aimed to examine whether this relationship applied to various types of crime and could be explained by unmeasured familial factors. Longitudinal data from the Dutch national population, including 75,362 individuals in a same-sex relationship and 3,464,906 individuals in opposite-sex relationships, were used to compare the risk of crime among males and females in same-sex and opposite-sex unions. Discordant sibling models were included to increase control over possible sources of confounding from shared familial factors. Analyses were repeated for six types of crime, including property offenses, violence, vandalism, and public order offenses, traffic offenses, drugs offenses, and other offenses. The results showed that the direction of the associations between same-sex relationships and offending differed for men and women. In general, men in same-sex relationships were less likely to be a suspect of crime compared to those in opposite-sex relationships [odds ratio (OR) = 0.685; p < .001]. Women in same-sex relationships exhibited higher risk than those in opposite-sex unions (OR = 1.560; p < .001). Similar patterns emerged for most crime types and the discordant sibling models yielded conclusions that were substantively similar to those among the total population.

Neighborhood Racial Composition and Unequal Exposure to Violent Crime in Everyday Contexts.

Exposure to violence is a critical aspect of contemporary racial inequality in the United States. While extensive research has examined variations in violent crime rates across neighborhoods, less attention has been given to understanding individuals' everyday exposure to violent crimes. This study investigates patterns of exposure to violent crimes among neighborhood residents using cell phone mobility data and violent crime reports from Chicago. The analysis reveals a positive association between the proportion of Black residents in a neighborhood and the level of exposure to violent crimes experienced by residents. Controlling for a neighborhood's level of residential disadvantage and other neighborhood characteristics did not substantially diminish the relationship between racial composition and exposure to violent crimes in everyday life. Even after controlling for violence within residents' neighborhoods, individuals residing in Black neighborhoods continue to experience significantly higher levels of violence in their day-to-day contexts compared to those living in White neighborhoods. This suggests that racial segregation in everyday exposures, rather than residential segregation, plays a central role in racial inequality in exposure to violence. Additionally, the analysis suggests that neighborhoods with more Hispanic and Asian residents are exposed to less and more violent crime, respectively, compared to neighborhoods with more White residents. However, this is only observed when not adjusting for the volume of visits points of interest receive; otherwise, the finding is reversed. This study offers valuable insights into potentially novel sources of racial disparities in exposure to violent crimes in everyday contexts, highlighting the need for further investigation.

Predictors of psychosocial functioning in people diagnosed with schizophrenia spectrum disorders that committed violent offences and in those that did not: Results of the Recoviwel study.

Psychosocial functioning represents a core treatment target of Schizophrenia Spectrum Disorders (SSD), and several clinical and cognitive factors contribute to its impairment. However, determinants of psychosocial functioning in people living with SSD that committed violent offences remain to be more thoroughly explored. This study aims to separately assess and compare predictors of psychosocial functioning in people with SSD that did and that did not commit violent offences considering several clinical, cognitive and violence-related parameters. Fifty inmates convicted for violent crimes in a forensic psychiatry setting diagnosed with SSD (OP group) and fifty participants matched for age, gender, education, and diagnosis (Non-OP group) were included in the study. A higher risk of violent relapse as measured by HCR-20 clinical subscale scores (p < 0.002) and greater global clinical severity as measured by CGI-S scores (p = 0.023) emerged as individual predictors of worse psychosocial functioning, as measured by PSP scores, in the OP group. Greater global clinical severity (p < 0.001), worse performance in the processing speed domain as measured by the BACS Symbol Coding (p = 0.002) and TMT-A tests (p = 0.016) and higher levels of non-planning impulsivity as measured by BIS-11 scores (p < 0.001) emerged as individual predictors of worse psychosocial functioning in the Non-OP group. These results confirm that clinical severity impacts psychosocial functioning in all individuals diagnosed with SSD and suggest that while cognitive impairment clearly represents a determinant of worse functional outcomes in most patients, the risk of violent relapse is a specific predictor of worse psychosocial functioning in people with SSD that committed criminal offences.

Examining the Past Injustices Suffered by Those in Corrections and the General Public: A New Therapeutic Approach May Be Necessary.

One under-researched area within corrections is the connection among (a) past adverse events, particularly in the form of injustices against those who now are incarcerated, (b) crimes committed and then (c) healing from the effects of that past adversity of injustice. Might those who have experienced severe injustices against them develop an anger or a hatred that then is displaced onto others, leading to arrest, conviction and imprisonment? This is not to imply that societies condone illegal behaviour but instead to assist in the healing from the adversity so that future crime is reduced. As a first step in this sequence, the study here examined in detail the kinds of injustices suffered by men in a maximum-security correctional institution (N = 103) compared with men in a medium-security environment (N = 37) and in the general public (N = 96). Findings indicated differences between those in the general public and those in the two correctional contexts. The latter two groups had (a) a higher severity of injustices against them (rated by a panel of researchers), (b) a more negative current impact that past injustices are having on them (also rated by a panel of researchers), (c) more reports that the injustices contributed to their choices to harm others, (d) more serious types of hurt (such as sexual abuse), (e) a stronger degree of self-reported hurt and (f) more injustices from family members. Implications for correctional rehabilitation to reduce the negative psychological effects caused by the injustices of others are discussed.