scholarly journals Factors associated with police shooting mortality: A focus on race and a plea for more comprehensive data

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259024
Author(s):  
Justin Nix ◽  
John A. Shjarback
Keyword(s):  
Regression Models ◽  
Deadly Force ◽  
Policy Implications ◽  
Large Share ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Level Data ◽  
Police Shootings ◽  
Race Ethnicity ◽  
Police Shooting

Objectives To quantify nonfatal injurious police shootings of people and examine the factors associated with victim mortality. Methods We gathered victim-level data on fatal and nonfatal injurious police shootings from four states that have such information publicly available: Florida (2009–14), Colorado (2010–19), Texas (2015–19), and California (2016–19). For each state, we examined bivariate associations between mortality and race/ethnicity, gender, age, weapon, and access to trauma care. We also estimated logistic regression models predicting victim mortality in each state. Results Forty-five percent of these police shooting victims (N = 1,322) did not die. Black–white disparities were more pronounced in nonfatal injurious police shootings than in fatal police shootings. Overall, Black victims were less likely than white victims to die from their wound(s). Younger victims were less likely to die from their wound(s), as well as those who were unarmed. Conclusions Racial and age disparities in police shootings are likely more pronounced than previous estimates suggest. Policy implications Other states should strongly consider compiling data like that which is currently being gathered in California. Absent data on nonfatal injurious police shootings–which account for a large share of deadly force incidents–researchers and analysts must be cautious about comparing and/or ranking jurisdictions in terms of their police-involved fatality rates.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

scholarly journals Predictors of chronic opioid therapy in Medicaid beneficiaries with HIV who initiated antiretroviral therapy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
GYeon Oh ◽  
Emily S. Brouwer ◽  
Erin L. Abner ◽  
David W. Fardo ◽  
Patricia R. Freeman ◽  
...  
Keyword(s):  
Regression Models ◽  
Opioid Therapy ◽  
Chronic Obstructive ◽  
Chronic Opioid Therapy ◽  
Hepatitis C Infection ◽  
Antipsychotic Therapy ◽  
Obstructive Pulmonary Disease ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Medicaid Beneficiaries

AbstractThe factors associated with chronic opioid therapy (COT) in patients with HIV is understudied. Using Medicaid data (2002–2009), this retrospective cohort study examines COT in beneficiaries with HIV who initiated standard combination anti-retroviral therapy (cART). We used generalized estimating equations on logistic regression models with backward selection to identify significant predictors of COT initiation. COT was initiated among 1014 out of 9615 beneficiaries with HIV (male: 10.4%; female: 10.7%). Those with older age, any malignancy, Hepatitis C infection, back pain, arthritis, neuropathy pain, substance use disorder, polypharmacy, (use of) benzodiazepines, gabapentinoids, antidepressants, and prior opioid therapies were positively associated with COT. In sex-stratified analyses, multiple predictors were shared between male and female beneficiaries; however, chronic obstructive pulmonary disease, liver disease, any malignancy, and antipsychotic therapy were unique to female beneficiaries. Comorbidities and polypharmacy were important predictors of COT in Medicaid beneficiaries with HIV who initiated cART.

scholarly journals The Differential Effects of Caregiving Intensity on Overnight Hospitalization in the Previous 2 Years

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 76-76
Author(s):  
Kylie Meyer ◽  
Zachary Gassoumis ◽  
Kathleen Wilber
Keyword(s):  
Health Services ◽  
Fixed Effects ◽  
Regression Models ◽  
P Value ◽  
Logistic Regression Models ◽  
Spousal Caregiving ◽  
Health Insurance Status ◽  
Race Ethnicity ◽  
Self Assessed Health ◽  
Retirement Study

Abstract Caregiving for a spouse is considered a major stressor many Americans will encounter during their lifetimes. Although most studies indicate caregiving is associated with experiencing diminished health outcomes, little is known about how this role affects caregivers’ use of acute health services. To understand how spousal caregiving affects the use of acute health services, we use data from the Health and Retirement Study. We apply fixed effects (FE) logistic regression models to examine odds of experiencing an overnight hospitalization in the previous two years according to caregiving status, intensity, and changes in caregiving status and intensity. Models controlled for caregiver gender, age, race, ethnicity, educational attainment, health insurance status, the number of household residents, and self-assessed health. Overall, caregivers were no more likely to experience an overnight hospitalization compared to non-caregivers (OR 0.92; CI 0.84 to 1.00; p-value=0.057). However, effects varied according to the intensity of caregiving and the time spent in this role. Compared to non-caregivers, for example, spouses who provided care to someone with no need for assistance with activities of daily living had lower odds of experiencing a hospitalization (OR 0.77; CI 0.66 to 0.89). In contrast, caregivers who provided care to someone with dementia for 4 to <6 years had 3.29 times the odds of experiencing an overnight hospitalization (CI 1.04 to 10.38; p-value=0.042). Findings indicate that, although caregivers overall appear to use acute health services about as much as non-caregivers, large differences exist between caregivers. Results emphasize the importance of recognizing diversity within caregiving experiences.

FERTILITY DESIRES OF YORUBA COUPLES OF SOUTH-WESTERN NIGERIA

2005 ◽  
Vol 38 (5) ◽  
pp. 605-624 ◽  
Author(s):  
KOLAWOLE AZEEZ OYEDIRAN
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Socioeconomic Background ◽  
Background Characteristics ◽  
Fertility Intention ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Fertility Desires ◽  
Fertility Reduction ◽  
Living Children

Using the matched wife–husband (763) sample from the data collected from Ogbomoso and Iseyin towns in Oyo State, Nigeria, this paper examines factors associated with couples’ fertility intention. The analysis used logistic regression models for predicting the effects of selected socioeconomic background characteristics on a couple’s fertility intention. Results indicate high levels of concurrence among husbands and wives on fertility intention. Where differences exist, husbands are more pronatalists than their wives. About 87% of pairs of partners reported similar fertility preferences. Of these couples, 59·5% wanted more children while only 27·8% reported otherwise. The logistic regression models indicated that a couple’s fertility intention was associated with age, education, place of residence, frequency of television-watching and number of living children. Therefore, programme interventions aimed at promoting fertility reduction in Nigeria should convey fertility regulation messages to both husbands and wives.

Examining the Racial Dynamic of the Victim-offender Dyad in Homicide-suicide: Does Intraracial Homicide Encourage Perpetrator Suicide?

2020 ◽  
pp. 002242782097962
Author(s):  
Gregory M. Zimmerman ◽  
Emma E. Fridel ◽  
Madison Gerdes
Keyword(s):  
Regression Models ◽  
Reporting System ◽  
Community Survey ◽  
Violent Death ◽  
Racial Composition ◽  
American Community Survey ◽  
Logistic Regression Models ◽  
Hierarchical Logistic Regression ◽  
Race Ethnicity ◽  
Joint Contribution

Objectives: Compared to homicide-only, homicide-suicide is understudied in the criminological literature. This study investigates the victim-offender relationship—one of the most well-established correlates of homicide-suicide—from a new angle. In addition to examining the familiarity/closeness of the victim-offender relationship, this study investigates whether the racial composition (interracial versus intraracial) of the victim-offender dyad impacts the likelihood of committing suicide following homicide. Method: This study uses data on 26,858 homicide and homicide-suicide cases distributed across 3,178 places and 45 U.S. states from the National Violent Death Reporting System appended to information from the American Community Survey. Hierarchical logistic regression models examine the independent and joint contribution of: (1) the familiarity/closeness of the victim-offender relationship; and (2) the racial composition of the victim-offender dyad on homicide-suicide. Results: Killing familiar and same-race victims independently increase the odds of suicide following homicide; additionally, the odds of suicide following homicide are highest for offenders with both familiar and same-race victims. Conclusions: The findings suggest that homicide-suicide research should account for different aspects of the victim-offender relationship. Additionally, the importance of race/ethnicity extends to even the rarest of crimes.

scholarly journals Movement Behaviors and Perceived Loneliness and Sadness within Alaskan Adolescents

2020 ◽  
Vol 17 (18) ◽  
pp. 6866
Author(s):  
Ryan D. Burns ◽  
Yang Bai ◽  
Christopher D. Pfledderer ◽  
Timothy A. Brusseau ◽  
Wonwoo Byun
Keyword(s):  
Mental Health ◽  
Odds Ratio ◽  
Regression Models ◽  
Movement Behavior ◽  
Youth Risk Behavior Survey ◽  
Association Analyses ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Race Ethnicity ◽  
Screen Use

Physical activity, screen use, and sleep are behaviors that integrate across the whole day. However, the accumulative influence of meeting recommendations for these 24-h movement behaviors on the mental health of Alaskan adolescents has not been examined. The purpose of this study was to examine the associations between movement behaviors, loneliness, and sadness within Alaskan adolescents. Data were obtained from the 2019 Alaska Youth Risk Behavior Survey (YRBS). The number of adolescents participating in the 2019 Alaska YRBS was 1897. Associations between meeting recommendations for movement behaviors with loneliness and sadness were examined using weighted logistic regression models, adjusted for age, sex, race/ethnicity, and body mass index (BMI). Approximately 5.0% of the sample met recommendations for all three movement behaviors. Meeting 2 or 3 movement behavior recommendations was associated with lower odds of loneliness (odds ratio (OR) range = 0.23 to 0.44, p < 0.01). Additionally, meeting 1 to 3 movement behavior recommendations was associated with lower odds of sadness (OR range = 0.29 to 0.52, p < 0.05). Joint association analyses determined that these relationships were primarily driven by meeting the sleep recommendation for loneliness and meeting the screen use recommendation for sadness. The results support use of multiple movement-based behavior programming to attenuate feelings of loneliness and sadness within Alaskan adolescents.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

Prevalence and adverse impact of extended antibiotic prophylaxis in urologic oncology surgery.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 294-294
Author(s):  
Matthew Mossanen ◽  
Josh Calvert ◽  
Sarah Holt ◽  
Andrew Callaway James ◽  
Jonathan L. Wright ◽  
...  
Keyword(s):  
Antibiotic Prophylaxis ◽  
Regression Models ◽  
Linear Regression Models ◽  
Urologic Oncology ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Provider Characteristics ◽  
Diagnosis Codes ◽  
Postoperative Length ◽  
Hospital Acquired

294 Background: Providers exhibit variation in the selection of the class, dose, and duration of prescribed antibiotic prophylaxis (ABP) to prevent postsurgical infections. We sought to evaluate ABP practice patterns for common inpatient urologic oncology surgeries and ascertain the association between extended ABP and hospital-acquired Clostridium difficile (C. diff) infections. Methods: From the PREMIER database for 2007–2012, we identified patients who underwent radical prostatectomy (RP), radical or partial nephrectomy (Nephx), or radical cystectomy (RC). We defined extended ABP from charges for antibiotics ≥ 2 days after surgery; exclusive of patients with a switch in antibiotic class within 2 postoperative days for presumption of infection. We identified postoperative C. diff infections using ICD-9 diagnosis codes. Hierarchical linear regression models were constructed by procedure to identify patient and provider factors associated with extended ABP. Logistic regression models evaluated the association between extended ABP and postoperative C. diff infection, adjusting for patient and provider characteristics. Results: We identified 59,184 RP patients, 27,921 Nephx patients, and 5,425 RC patients. RC patients were more likely to receive extended ABP (56%) than RP (18%) or Nephx (29%) patients (p<0.001). Other factors associated with extended ABP included prolonged postoperative length of stay (OR ≥ 1.69, p<0.001 for all procedures), and surgical volume (p<0.001 for highest vs. lowest volume quartiles). Hospital identity explained 35% of the variability in ABP after RP, 23% after Nephx, and 20% after RC. Among Nephx and RC patients, extended ABP was associated with significantly higher odds of postoperative C. diff infection (OR 3.79, 95% CI 2.46–5.84, and OR 1.64, 95% CI 1.12–2.39, respectively). Conclusions: We identified marked hospital-level variability in extended ABP following RP, Nephx, and RC, which was associated with significantly increased odds of hospital-acquired C. diff infections. Efforts to increase provider compliance with national ABP guidelines may decrease preventable hospital-acquired infections after urologic cancer surgery.

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