Utilizing a Risk of Crime Measure for Recidivism Research: Moving Environmental Corrections Forward

2018 ◽  
Vol 65 (5) ◽  
pp. 606-629 ◽  
Author(s):  
Grant Drawve ◽  
Joel Caplan ◽  
Michael Ostermann

The current study expands recidivism research by developing a risk of crime (ROC) measure rooted in environmental criminology, reflecting the risk of criminal opportunities, and lending itself to environmental corrections. Data were collected from a city in the Northeast region of the United States. The ROC measure was constructed through risk terrain modeling and reflected a parolee-specific neighborhood ROC. Conjunctive analysis of case configurations was utilized to explore how individual characteristics interacted with the ROC measure. Results indicated a relationship between parolees residing in an elevated ROC neighborhood and the likelihood of recidivism. The results were discussed in relation to how environmental criminology could be further integrated into environmental corrections, accounting for physical and social characteristics of the backcloth.

2015 ◽  
Vol 112 (22) ◽  
pp. 6943-6948 ◽  
Author(s):  
David S. Kirk

More than 600,000 prisoners are released from incarceration each year in the United States, and most end up residing in metropolitan areas, clustered within a select few neighborhoods. Likely consequences of this concentration of returning prisoners include higher rates of subsequent crime and recidivism. In fact, one-half of released prisoners return to prison within only 3 y of release. The routine exposure to criminogenic influences and criminal opportunities portends a bleak future for individuals who reside in neighborhoods with numerous other ex-prisoners. Through a natural experiment focused on post-Hurricane Katrina Louisiana, I examine a counterfactual scenario: If instead of concentrating ex-prisoners in geographic space, what would happen to recidivism rates if ex-prisoners were dispersed across space? Findings reveal that a decrease in the concentration of parolees in a neighborhood leads to a significant decrease in the reincarceration rate of former prisoners.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2404-2404
Author(s):  
Arya Mariam Roy ◽  
Manojna Konda ◽  
Akshay Goel ◽  
Appalanaidu Sasapu

Introduction Disseminated Intravascular Coagulation (DIC) is a systemic coagulopathy which leads to widespread thrombosis and hemorrhage and ultimately results in multiorgan dysfunction. DIC usually occurs as a complication of illnesses like severe sepsis, malignancies, trauma, acute pancreatitis, burns, and obstetrical complications. The prognosis and mortality of DIC depend on the etiology, however, the mortality of DIC is known to be on the higher side. The aim of the study is to analyze if gender, race, regional differences have any association with the mortality of hospitalized patients with DIC. Method The National Inpatient Sample database from the Healthcare Cost and Utilization Project (HCUP) for the year 2016 was queried for data. We identified hospital admissions for DIC with the International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code D65. The data was analyzed with STATA 16.0 version and univariate and multivariate analysis were performed. We studied the characteristics of all such hospitalizations for the year 2016 and the factors associated with the in-hospital mortality rate (MR) of DIC. We used length of stay, cost of stay as an outcome to determine if gender, race, and location play a role in the mortality. Results A total of 8704 admissions were identified with a diagnosis of DIC during the year 2016. The mean age for admission was found to be 56.48± 0.22. The percentage of admissions in females and males did not have a notable difference (50.57% vs 49.43%). The disease specific MR for DIC was 47.7%. Admission during weekend vs weekdays did not carry a statistically significant difference in terms of MR. Females with DIC were less likely to die in the hospital when compared to males with DIC (OR= 0.906, CI 0.82 - 0.99, p= 0.031). Interestingly, African Americans (AA) with DIC admissions were found to have 24% more risk of dying when compared to Caucasians admitted with DIC (OR= 1.24, CI 1.10 - 1.39, P= 0.00), Native Americans (NA) has 67% more risk of dying when compared to Caucasians (OR= 1.67, CI 1.03 - 2.69, p= 0.035). The mortality rate of NA, AA, Caucasians with DIC was found to be 57%, 52%, 47% respectively. The MR was found to be highest in hospitals of the northeast region (52%), then hospitals in the south (47%), followed by west and mid-west (46%), p= 0.000. Patients admitted to west and mid-west were 24% less likely to die when compared to patients admitted to northeast region hospitals (OR= 0.76, p= 0.001). The average length of stay and cost of stay were also less in west and mid-west regions when compared to north east. The difference in outcomes persisted after adjusting for age, gender, race, hospital division, co-morbid conditions. Conclusion Our study demonstrated that African Americans and Native Americans with DIC have high risk of dying in the hospital. Also, there exists a difference between the mortality rate, length and cost of stay among different regions in the United States. More research is needed to elucidate the factors that might be impacting the location-based variation in mortality. Disclosures No relevant conflicts of interest to declare.


2018 ◽  
Vol 49 (2) ◽  
pp. 189-218 ◽  
Author(s):  
Martin Dribe ◽  
J. David Hacker ◽  
Francesco Scalone

Although intermarriage is a common indicator of immigrant integration into host societies, most research has focused on how individual characteristics determine intermarriage. This study uses the 1910 ipums census sample to analyze how contextual factors affected intermarriage among European immigrants in the United States. Newly available, complete-count census microdata permit the construction of contextual measures at a much lower level of aggregation—the county—in this analysis than in previous studies. Our results confirm most findings in previous research relating to individual-level variables but also find important associations between contextual factors and marital outcomes. The relative size and sex ratio of an origin group, ethnic diversity, the share of the native-born white population, and the proportion of life that immigrants spent in the United State are all associated with exogamy. These patterns are highly similar across genders and immigrant generations.


1998 ◽  
Vol 32 (1) ◽  
pp. 97-126 ◽  
Author(s):  
Cecilia Menjívar ◽  
Julie DaVanzo ◽  
Lisa Greenwell ◽  
R. Burciaga Valdez

This article analyzes the factors that influence remittance behavior (the decision to remit and the amount sent) in the host country of Filipino and Salvadoran immigrants, two groups with high rates of U.S.-bound migration and of remittances. Data for this study come from a multipurpose survey fielded in Los Angeles in 1991 and are analyzed using logistic regressions and OLS. Individual characteristics and financial ability to remit, motivation to migrate, personal investments in the United States, and family obligations in the home and in the host countries are hypothesized to affect remittance behavior. No differences by country of origin in the proportion who send remittances were found, but there were significant differences in the amount remitted. Some variables affect the two country-of-origin groups differently. The size of remittances sent by Salvadorans tends to be relatively insensitive to their characteristics compared with Filipinos. Filipinos’ remittances are more affected by age, family income, having taken English classes in the United States, and living alone than are the remittances of Salvadorans. For both groups, the most consistent factors affecting remittances are family income and the place of residence of close family members.


2013 ◽  
Vol 47 (23) ◽  
pp. 13230-13238 ◽  
Author(s):  
Xiaoliang Lu ◽  
David W. Kicklighter ◽  
Jerry M. Melillo ◽  
Ping Yang ◽  
Bernice Rosenzweig ◽  
...  

1992 ◽  
Vol 86 (4) ◽  
pp. 916-928 ◽  
Author(s):  
Paul Allen Beck ◽  
Lawrence Baum ◽  
Aage R. Clausen ◽  
Charles E. Smith

The primary source of divided government in the United States is voters who split their ballots between the parties. Yet there has been little comprehensive examination of either patterns or sources of ticket splitting in recent years. Instead, divergent lines of research have emerged, emphasizing such things as voter partisanship, incumbency, and a “new” (young, well-educated, even partisan) kind of ticket splitter; and their focus has been too often restricted to the atypical president–Congress pair. We seek to unify these research traditions in a comprehensive model of split-ticket voting and to test this model across the partisan ballot in a typical election setting-here, the contests for five Ohio state-wide offices in 1990. The model incorporates partisan strength, candidate visibility, and the individual characteristics that distinguish the “new ticket splitters”. The results support our partisan strength and candidate visibility explanations but provide little support for the emergence of a new type of ticket splitter.


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