scholarly journals Comparing Female Victims of Separation/Divorce Assault across Geographical Regions

2013 ◽  
Vol 2 (1) ◽  
pp. 65-81 ◽  
Author(s):  
Walter S DeKeseredy ◽  
Callie Marie Rennison

Recent analyses of National Crime Victimization Survey (NCVS) data show that male-to-female separation/divorce assault varies across geographic regions in the United States, with rural rates of such woman abuse being higher than those for suburban and urban areas. Using the same data set, the main objective of this paper is to present the results of an investigation into whether characteristics of female victims of separation/divorce assault also differ across urban, suburban, and rural communities.

2020 ◽  
Author(s):  
Kali Zhou ◽  
Trevor A Pickering ◽  
Christina S Gainey ◽  
Myles Cockburn ◽  
Mariana C Stern ◽  
...  

Abstract Background Hepatocellular carcinoma is one of few cancers with rising incidence and mortality in the United States. Little is known about disease presentation and outcomes across the rural-urban continuum. Methods Using the population-based SEER registry, we identified adults with incident hepatocellular carcinoma between 2000–2016. Urban, suburban and rural residence at time of cancer diagnosis were categorized by the Census Bureau’s percent of the population living in non-urban areas. We examined association between place of residence and overall survival. Secondary outcomes were late tumor stage and receipt of therapy. Results Of 83,368 cases, 75.8%, 20.4%, and 3.8% lived in urban, suburban, and rural communities, respectively. Median survival was 7 months (IQR 2–24). All stage and stage-specific survival differed by place of residence, except for distant stage. In adjusted models, rural and suburban residents had a respective 1.09-fold (95% CI = 1.04–1.14, p < .001) and 1.08-fold (95% CI = 1.05–1.10, p < .001) increased hazard of overall mortality as compared to urban residents. Furthermore, rural and suburban residents had 18% (OR = 1.18, 95% CI 1.10–1.27, p < .001) and 5% (OR = 1.05, 95% CI = 1.02–1.09, p = .003) higher odds of diagnosis at late stage and were 12% (OR = 0.88, 95% CI = 0.80–0.94, p < .001) and 8% (OR = 0.92, 95% CI = 0.88–0.95, p < .001) less likely to receive treatment, respectively, compared to urban residents. Conclusions Residence in a suburban and rural community at time of diagnosis was independently associated with worse indicators across the cancer continuum for liver cancer. Further research is needed to elucidate the primary drivers of these rural-urban disparities.


Author(s):  
Filiz Garip

This chapter provides an overview of the migration field, and a brief review of Mexico–U.S. migration flows up to 1965, the year the analysis here begins. It describes the data and methods that led the author to discover four groups among first-time migrants from Mexico to the United States between 1965 and 2010. The first cluster—mostly uneducated and poor men from rural communities—was the majority in the 1970s but dropped to a small minority by the 1990s. The second cluster—many of them teenage boys from relatively better-off families—peaked in the 1980s, becoming the majority group at that time, but declined consistently in size thereafter. The third cluster—mostly women with family ties to former migrants—was increasing slowly in size until it experienced a sudden spike in the early 1990s. And the fourth cluster—mostly educated men from urban areas—grew persistently over time, grabbing the majority status among all first-time migrants in the early 1990s.


Author(s):  
Charley E. Willison

Chapter 4 examines national variation in municipal responses to chronic homelessness, identifying the prevalence of municipal-level supportive housing policies among municipalities affected by homelessness in the United States and identifying and examining factors associated with the presence of a municipal-level supportive housing policy. The presence of municipal-level supportive housing policies is an indication of evidence-based policy adoption to address chronic homelessness effectively in urban areas. To date, there has been almost no research on the political predictors of the adoption of these evidence-based policies. Results demonstrate that most municipalities facing homelessness challenges do not have supportive housing policies. Of the municipalities in the data set, only 40% had a municipal-level supportive housing policy. These municipalities tend to be: more liberal; sanctuary cities; have fewer but better funded nonprofit health organizations; lower rates of municipal governmental fragmentation; and located in states without Medicaid expansion.


2002 ◽  
Vol 4 (1-2) ◽  
pp. 61-70 ◽  
Author(s):  
James P. Lynch

The National Crime Victimization Survey (NCVS) is a major source of nationally representative data on crime and the response to crime in the United States. The survey's potential to add to our understanding of crime and criminal justice issues has not been fully exploited, however. One of the areas where more effective use could be made of the information gathered by the survey is policing. This paper suggests how the NCVS can more fully realize its potential for informing issues pertaining to the police.


2012 ◽  
Vol 44 (3) ◽  
pp. 323-334 ◽  
Author(s):  
Chris Jeffcoat ◽  
Alison F. Davis ◽  
Wuyang Hu

Since the Internet's inception its impact has been felt across the United States, but the distribution and adoption of the Internet has not necessarily been uniform geographically. As more consumers and businesses rely on the Internet to access information, the data transmission requirements have also increased. Consequently, access to broadband has become increasingly more important since dial-up cannot realistically handle the increased requirements. The use of broadband in agriculture can provide better access to price, weather, and management information while also opening new markets. However, many rural communities lag behind urban areas in broadband access and adoption rates. This study evaluates, through the use of a producer survey, the level of broadband Internet use, motivations for its use, degree of access to broadband, and willingness-to-pay (WTP) to fund broadband infrastructure investments. Results from the producer survey suggested farmers utilize the Internet primarily for accessing weather reports, e-mail, market reports, and agricultural news. Notably, the survey's WTP questions allowed for the use of an interval regression to calculate producer WTP for varying demographics. The results suggested that producers who were younger, farmed larger farms, and those who currently use the Internet but do not have broadband access were WTP more in property taxes to support broadband infrastructure investments than those of a differing demographic. Because WTP levels varied drastically depending on the underlying demographics, it becomes difficult to pinpoint a WTP level for a one-time payment in property taxes that would be acceptable from a policy standpoint.


2007 ◽  
Vol 22 (6) ◽  
pp. 754-772 ◽  
Author(s):  
Callie Marie Rennison

Though reporting violence to the police has been extensively investigated, the nature of Hispanic reporting of victimization has not. This is surprising because Hispanics are the fastest growing and largest ethnic group in the United States. Using over a decade of data from the National Crime Victimization Survey, this article investigates Hispanic reporting of victimization relative to non-Hispanic Whites, Blacks, American Indians, and Asians. Findings show that Hispanics are significantly less likely to report the most serious of violence compared to non-Hispanic Whites, but are more likely than non-Hispanic Whites to report simple assaults. Few reporting differences between Hispanics and other victim groups were observed. In addition, analyses indicate a positive relationship between educational attainment and reporting by Hispanics—a predictor not shared by any other group.


Author(s):  
Marcus E. Berzofsky ◽  
Andrew Moore ◽  
G. Lance Couzens ◽  
Lynn Langton ◽  
Chris Krebs

We use a total survey error approach to examine and make recommendations on how to adjust for non-sampling error in longitudinal, mixed-mode surveys. Using data from the National Crime Victimization Survey (NCVS), we examine three major sources of non-sampling error: telescoping, mode effects, and fatigue. We present an assessment of each source of error from a total survey error perspective and propose alternative adjustments to adjust better for this error. Findings suggest that telescoping and fatigue are likely sources of error in the NCVS, but the use of mixed-modes is not. Furthermore, both telescoping and fatigue are present in longitudinal surveys and accounting for one but not the other results in estimates that under- or overestimate the measures of interest—in this case, the rate of crime in the United States.


2021 ◽  
Author(s):  
Alfred Jerrod Anzalone ◽  
Ronald Horswell ◽  
Brian Hendricks ◽  
San Chu ◽  
William Hillegass ◽  
...  

IMPORTANCE: Rural communities are among the most underserved and resource-scarce populations in the United States (US), yet there are limited data on COVID-19 mortality in rural America. Furthermore, rural data are rarely centralized, precluding comparability across urban and rural regions. OBJECTIVE: The purpose of this study is to assess hospitalization rates and all-cause inpatient mortality among persons with definitive COVID-19 diagnoses residing in rural and urban areas. DESIGN, SETTINGS, AND PARTICIPANTS: This retrospective cohort study from the National COVID Cohort Collaborative (N3C) examines a cohort of 573,018 patients from 27 US hospital systems presenting with SARS-CoV-2 infection between January 2020 and March 2021, of whom 117,897 were hospitalized. A sample of 450,725 hospitalized persons without COVID-19 diagnoses was identified for comparison. EXPOSURES: ZIP Codes provided by source hospital systems were classified by urban-rural gradient through a crosswalk to the US Department of Agriculture Rural-Urban Commuting Area Codes. MAIN OUTCOMES AND MEASURES: Primary outcomes were hospitalization and all-cause mortality among hospitalized patients. Kaplan-Meier analysis and mixed effects logistic regression were used to estimate 30-day survival in hospitalized patients and associations between rurality, hospitalization, and inpatient mortality while controlling for major risk factors. RESULTS: Rural patients were more likely to be older, white, have higher body mass index, and diagnosed with SARS-CoV-2 later in the pandemic compared with their urban counterparts. Rural compared with urban inhabitants had higher rates of hospitalization (23% vs. 19%) and all-cause mortality among hospitalized patients (16% vs. 11%). After adjustment for demographic and baseline differences, rural residents (both urban adjacent and non-adjacent) with COVID-19 were more likely to be hospitalized (Adjusted Odds Ratio (AOR) 1.41, 95% Confidence Interval (CI), 1.37-1.45 and AOR 1.42, CI 1.35-1.50) and to die or be transferred to hospice (AOR 1.62, CI 1.30-1.49 and 1.38, CI 1.30-1.49), respectively. Similar differences in mortality were noted for hospitalized patients without SARS-CoV-2 infection. CONCLUSIONS: Hospitalization and inpatient mortality are higher among rural compared with urban persons with COVID-19, even after adjusting for several factors, including age and comorbidities. Further research is needed to understand the factors that drive health disparities in rural populations.


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