Neighborhood homicide rate and odds of colorectal adenoma among adult patients seeking colonoscopy.

Background: Chronic exposure to ambient stressors, including neighborhood crime, may have a detrimental impact on the body's stress response system with implications for colorectal carcinogenesis.

Methods: We examined associations between the mean neighborhood homicide rates from 2000 and 2018 and diagnosis of colorectal adenoma among patients at the University of Illinois Health and Hospital System in Chicago, Illinois, between 2015 and 2018.

Results: Of the 5225 patients who underwent colonoscopy and were included in the analytic dataset, 60% had colorectal adenoma.

Predicting Prenatal Depression and Assessing Model Bias Using Machine Learning Models.

Background: Perinatal depression is one of the most common medical complications during pregnancy and postpartum period, affecting 10% to 20% of pregnant individuals, with higher rates among Black and Latina women who are also less likely to be diagnosed and treated. Machine learning (ML) models based on electronic medical records (EMRs) have effectively predicted postpartum depression in middle-class White women but have rarely included sufficient proportions of racial/ethnic minorities, which has contributed to biases in ML models. Our goal is to determine whether ML models could predict depression in early pregnancy in racial/ethnic minority women by leveraging EMR data.

The "Latines Lideres En Salud (LaLiSa)" study: Rationale and design.

Background: Latines suffer from breast cancer (BC), due to elevated biological and social determinants of health (SDOH) risks. This study compares the effects of different strategies on uptake of cancer genetic services, specifically hereditary cancer risk assessment, genetic counseling, and genetic testing, and risk-based BC care.

Design/methods: In Chicago, Illinois, Aim 1 participants are recruited from a federally qualified health center (FQHC) and community venues.

Exploration of experiences and attitudes associated with lung health promotion among Black males with a history of smoking.

To examine knowledge and attitudes about lung health promotion (smoking cessation and lung cancer screening) among Black male smokers in a large Midwestern city in the United States. Semi-structured, in-depth interviews were conducted with 25 study participants. Each interview lasted approximately 45 minutes.

The Effect of Exposure to Neighborhood Violence on Glucocorticoid Receptor Signaling in Lung Tumors.

Unlabelled: Despite lower rates and intensity of smoking, Black men experience a higher incidence of lung cancer compared to white men. The racial disparity in lung cancer is particularly pronounced in Chicago, a highly segregated urban city. Neighborhood conditions, particularly social stress, may play a role in lung tumorigenesis.

Equity in Cancer and Chronic Disease Prevention through a Multi-Pronged Network Intervention: Works-in-Progress.

The increasing rates of cancer incidence are disproportionately borne by populations that are ineligible for screening and historically marginalized populations. To address this need, our community-centered model seeks to catalyze the widespread diffusion of evidence-based information and resources (e.g.

Bridging the Gap: Engaging Black Men in Lung Cancer Research Through Barbershop Collaboration.

Health disparities persist among Black men, notably in the context of lung cancer and stress-related health outcomes. This study explores these disparities through a community-based participatory research (CBPR) approach, citizen science, and social network theory, leveraging the expertise and trust of Black barbers as community leaders. The purpose is to understand the nuanced connections between stress and lung cancer in this demographic.

Examination of provider knowledge, attitudes, and behaviors associated with lung cancer screening among Black men receiving care at a federally qualified health center.

The study's goal was to look at providers' knowledge, attitudes, and behaviors regarding lung cancer screening among Black male smokers served by a federally qualified healthcare center. Participants in the study were interviewed in depth. Participants completed a short (5-10 minute) survey that assessed demographics, training, and attitudes toward lung cancer screening.

Racial/Ethnic disparities in exposure to neighborhood violence and lung cancer risk in Chicago.

Background: Despite the lower prevalence and frequency of smoking, Black adults are disproportionately affected by lung cancer. Exposure to chronic stress generates heightened immune responses, which creates a cell environment conducive to lung cancer development. Residents in poor and segregated neighborhoods are exposed to increased neighborhood violence, and chronic exposure to violence may have downstream physiological stress responses, which may explain racial disparities in lung cancer in predominantly Black urban communities.

COVID-19 Vaccine Policy Implementation and Differential Vaccine Uptake Trajectories in Chicago Communities.

Background: Since the onset of the COVID-19 pandemic, multiple public health interventions have been implemented to respond to the rapidly evolving pandemic and community needs. This article describes the scope, timing, and impact of coordinated strategies for COVID-19 vaccine uptake in Chicago for the first year of vaccine distribution.

Methods: Using a series of interviews with public health officials and leaders of community-based organizations (CBOs) who participated in the implementation of the citywide COVID-19 vaccine outreach initiatives, we constructed a timeline of vaccine outreach initiatives.

Barriers and Facilitators to Ophthalmology Visit Adherence in an Urban Hospital Setting.

Purpose: To explore barriers and facilitators to completing scheduled outpatient appointments at an urban academic hospital-based ophthalmology department.

Methods: Potential participants were stratified by neighborhood Social Vulnerability Index (SVI) (range, 0-1.0, higher scores indicate greater vulnerability), and semistructured interviews were conducted with individuals 18 years and older with an SVI of greater than 0.

Machine Learning for Digital Scoring of PRMT6 in Immunohistochemical Labeled Lung Cancer.

Lung cancer is the leading cause of cancer death in the U.S. Therefore, it is imperative to identify novel biomarkers for the early detection and progression of lung cancer.

Predicting prenatal depression and assessing model bias using machine learning models.

Perinatal depression (PND) is one of the most common medical complications during pregnancy and postpartum period, affecting 10-20% of pregnant individuals. Black and Latina women have higher rates of PND, yet they are less likely to be diagnosed and receive treatment. Machine learning (ML) models based on Electronic Medical Records (EMRs) have been effective in predicting postpartum depression in middle-class White women but have rarely included sufficient proportions of racial and ethnic minorities, which contributed to biases in ML models for minority women.

Qualitative Analysis of Multiple Sources and Dimensions of Stigma Among Older Adults Living With HIV Infection Released From Corrections.

While sources of stigma associated with HIV, incarceration, and aging have been explored separately, the concurrent effects of these multiple sources have been understudied. We conducted in-depth interviews with 48 older adults over 50 years of age with HIV infection who were returning from correctional settings concerning their experiences of stigma. Participants described HIV-related stigma substantially more often than incarceration-related stigma and a greater number of stigma experiences as time passed from release.

The association between neighborhood conditions and weight loss among older adults living in a large urban city.

To elucidate the role of neighborhood walkability and crime on weight loss, we examined data from older adults residing in Chicago who participated in a randomized controlled trial lifestyle intervention. Controlling for individual demographic characteristics and the intervention assignment, the neighborhood homicide rate was significantly associated with weight change. Participants who resided in neighborhoods above the 50th percentile of homicide rate actually gained weight between pre- and post-intervention.

Evaluating the Relationship between Neighborhood-Level Social Vulnerability and Patient Adherence to Ophthalmology Appointments.

Purpose: To examine the association between neighborhood-level social vulnerability and adherence to scheduled ophthalmology appointments.

Methods: In this retrospective cohort study, records of all patients ≥18 years scheduled for an ophthalmology appointment between September 12, 2020, and February 8, 2021, were reviewed. Primary exposure is neighborhood-level Social Vulnerability Index (SVI) based on the patient's residential location.

The Effect of Neighborhood Disorganization on Care Engagement Among Children With Chronic Conditions Living in a Large Urban City.

Neighborhood context plays an important role in producing and reproducing current patterns of health disparity. In particular, neighborhood disorganization affects how people engage in health care. We examined the effect of living in highly disorganized neighborhoods on care engagement, using data from the Coordinated Healthcare for Complex Kids (CHECK) program, which is a care delivery model for children with chronic conditions on Medicaid in Chicago.

Impact of COVID-19 Pandemic, Social Vulnerability, and Opioid Overdoses in Chicago.

Introduction: This research was undertaken to examine the individual and neighborhood drivers that contributed to increases in opioid overdose deaths during the COVID-19 pandemic.

Methods: The incident location and Centers for Disease Control and Prevention Social Vulnerability Index (along with the individual indicators) were then geocoded to 1 of the 77 Chicago Community Areas. Changes in opioid overdose death rates were calculated and compared for each Chicago Community Area using linear regression between 2019 and 2020.

Racial disparities in the pattern of intergenerational neighbourhood mobility.

Neighbourhood context is known to shape one's life chances, but much of neighbourhood disadvantage is passed down from parents to children. The gap in social and economic achievements between Black and White families in the United States may partially be explained by differences in the intergenerational transmission of neighbourhood context. Using census tract socio-economic data, we created a national ranking of US census tracts.

Effectiveness of the COVID-19 Community Vulnerability Index in explaining COVID-19 deaths.

Objectives: To explore the effectiveness of a COVID-19 specific social vulnerability index, we examined the relative importance of four COVID-19 specific themes and three general themes of the COVID-19 Community Vulnerability Index (CCVI) in explaining COVID-19 mortality rates in Cook County, Illinois.

Methods: We counted COVID-19 death records from the Cook County Medical Examiner's Office, geocoded incident addresses by census tracts, and appended census tracts' CCVI scores. Negative binomial regression and Random Forest were used to examine the relative importance of CCVI themes in explaining COVID-19 mortality rates.

COVID-19 Cases and Deaths in Skilled Nursing Facilities in Cook County, Illinois.

Objective: The COVID-19 pandemic has had a devastating impact on older adults residing in skilled nursing facilities. This study examined the pathways through which community and facility factors may have affected COVID-19 cases and deaths in skilled nursing facilities.

Methods: We used structural equation modeling to examine the number of COVID-19 cases and deaths in skilled nursing facilities in Cook County, Illinois, from January 1 through September 30, 2020.

Adherence to Urgent Eye Visits during the COVID-19 Pandemic: A Population Characteristics Study.

Purpose: To explore individual and community factors associated with adherence to physician recommended urgent eye visits via a tele-triage system during the COVID-19 pandemic.

Method: We retrospectively reviewed acute visit requests and medical exam data between April 6, 2020 and June 6, 2020. Patient demographics and adherence to visit were examined.