Adverse childhood experiences among black sexually minoritized men and Black transgender women in Chicago.

BACKGROUND: Adverse childhood experiences (ACE) are important predictors of mental health outcomes in adulthood. However, commonly used ACE measures such as the Behavioural Risk Factor Surveillance System (BRFSS) have not been validated among Black sexually minoritized men (SMM) nor transgender women (TW), whom are known to have higher rates of ACE and poorer mental health outcomes. Assessing the psychometric properties of the measure is important for health equity research, as measurements that are not valid for some populations will render uninterpretable results. METHODS: Data are drawn from the Neighborhoods and Networks (N2) study, a longitudinal cohort of Black SMM and TW living in Southern Chicago. We conducted confirmatory factor analysis, correlation analysis and a two-parameter Item Response Theory (IRT) on the BRFSS ACE measure, an 11-item measure with 8 domains of ACE. RESULTS: One hundred forty seven participants (85% cisgender male) completed the BRFSS ACE measurement in the N2 study with age ranges from 16-34. The cohort were from a low socioeconomic background: about 40% of the cohort were housing insecure and made than $10,000 or less annually. They also have a high number of ACEs; 34% had endorsed 4 or more ACE domains. The three-factor structure fit the BRFSS ACE measure best; the measurement consisted of three subscales: of "Household Dysfunction", "Emotional / Physical", and "Sexual Abuse" (CFI = 0.975, TLI = 0.967, and RMSEA = 0.051). When the 8 domains of ACE were summed to one score, the total score was is correlated with depressive symptoms and anxiety scores, establishing concurrent validity. Item Response Theory model indicated that the "parental separation" domain had a low discrimination (slope) parameter, suggesting that this domain does not distinguish well between those with and without high ACE. CONCLUSIONS: The BRFFS ACE measure had adequate reliability, a well-replicated structure and some moderate evidence of concurrent validity among Black SMM and TW. The parental separation domain does not discriminate between those with high and low ACE experiences in this population. With changing population demographics and trends in marriage, further examination of this item beyond the current study is warranted to improve health equity research for all.

The race-based stress reduction intervention (RiSE) study on African American women in NYC and Chicago: Design and methods for complex genomic analysis.

RiSE study aims to evaluate a race-based stress-reduction intervention as an effective strategy to improve coping and decrease stress-related symptoms, inflammatory burden, and modify DNA methylation of stress response-related genes in older AA women. This article will describe genomic analytic methods to be utilized in this longitudinal, randomized clinical trial of older adult AA women in Chicago and NYC that examines the effect of the RiSE intervention on DNAm pre- and post-intervention, and its overall influence on inflammatory burden. Salivary DNAm will be measured at baseline and 6 months following the intervention, using the Oragene-DNA kit. Measures of perceived stress, depressive symptoms, fatigue, sleep, inflammatory burden, and coping strategies will be assessed at 4 time points including at baseline, 4 weeks, 8 weeks, and 6 months. Genomic data analysis will include the use of pre-processed and quality-controlled methylation data expressed as beta (ß) values. Association analyses will be performed to detect differentially methylated sites on the targeted candidate genes between the intervention and non-intervention groups using the Δß (changes in methylation) with adjustment for age, health behaviors, early life adversity, hybridization batch, and top principal components of the probes as covariates. To account for multiple testing, we will use FDR adjustment with a corrected p-value of <0.05 regarded as statistically significant. To assess the relationship between inflammatory burden and Δß among the study samples, we will repeat association analyses with the inclusion of individual inflammation protein measures. ANCOVA will be used because it is more statistically powerful to detect differences.

Implementation of a realistic artificial data generator for crash data generation.

In this paper, a framework is outlined to generate realistic artificial data (RAD) as a tool for comparing different models developed for safety analysis. The primary focus of transportation safety analysis is on identifying and quantifying the influence of factors contributing to traffic crash occurrence and its consequences. The current framework of comparing model structures using only observed data has limitations. With observed data, it is not possible to know how well the models mimic the true relationship between the dependent and independent variables. Further, real datasets do not allow researchers to evaluate the model performance for different levels of complexity of the dataset. RAD offers an innovative framework to address these limitations. Hence, we propose a RAD generation framework embedded with heterogeneous causal structures that generates crash data by considering crash occurrence as a trip level event impacted by trip level factors, demographics, roadway and vehicle attributes. Within our RAD generator we employ three specific modules: (a) disaggregate trip information generation, (b) crash data generation and (c) crash data aggregation. For disaggregate trip information generation, we employ a daily activity-travel realization for an urban region generated from an established activity-based model for the Chicago region. We use this data of more than 2 million daily trips to generate a subset of trips with crash data. For trips with crashes crash location, crash type, driver/vehicle characteristics, and crash severity. The daily RAD generation process is repeated for generating crash records at yearly or multi-year resolution. The crash databases generated can be employed to compare frequency models, severity models, crash type and various other dimensions by facility type - possibly establishing a universal benchmarking system for alternative model frameworks in safety literature.

Leveraging transfer learning with deep learning for crime prediction.

Crime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions. However, sufficient crime data and resources for training state-of-the-art deep learning-based crime prediction systems pose a challenge. To address this issue, this study adopts the transfer learning paradigm. Moreover, this study fine-tunes state-of-the-art statistical and deep learning methods, including Simple Moving Averages (SMA), Weighted Moving Averages (WMA), Exponential Moving Averages (EMA), Long Short Term Memory (LSTM), Bi-directional Long Short Term Memory (BiLSTMs), and Convolutional Neural Networks and Long Short Term Memory (CNN-LSTM) for crime prediction. Primarily, this study proposed a BiLSTM based transfer learning architecture due to its high accuracy in predicting weekly and monthly crime trends. The transfer learning paradigm leverages the fine-tuned BiLSTM model to transfer crime knowledge from one neighbourhood to another. The proposed method is evaluated on Chicago, New York, and Lahore crime datasets. Experimental results demonstrate the superiority of transfer learning with BiLSTM, achieving low error values and reduced execution time. These prediction results can significantly enhance the efficiency of law enforcement agencies in controlling and preventing crime.

Years of Potential Life Lost and Mean Age of Adults Experiencing Nontraumatic, Out-of-Hospital Cardiac Arrests - Chicago, 2014-2021.

Approximately 1,000 out-of-hospital cardiac arrests (OHCAs) are assessed by emergency medical services in the United States every day, and approximately 90% of patients do not survive, leading to substantial years of potential life lost (YPLL). Chicago emergency medical services data were used to assess changes in mean age and YPLL from nontraumatic OHCA in adults in biennial cycles during 2014-2021. Among 21,070 reported nontraumatic OHCAs during 2014-2021, approximately 60% occurred among men and 57% among non-Hispanic Black or African American (Black) persons. YPLL increased from 52,044 during 2014-2015 to 88,788 during 2020-2021 (p = 0.002) and mean age decreased from 64.7 years during 2014-2015, to 62.7 years during 2020-2021. Decrease in mean age occurred among both men (p<0.001) and women (p = 0.002) and was largest among Black men. Mean age decreased among patients without presumed cardiac etiology from 56.3 to 52.5 years (p<0.001) and among patients with nonshockable rhythm from 65.5 to 62.7 years (p<0.001). Further study is needed to assess whether similar trends are occurring elsewhere, and to understand the mechanisms that underlie these trends in Chicago because these mechanisms could help guide prevention efforts. Increased public awareness of the risk of cardiac arrest and knowledge of how to intervene as a bystander could help decrease associated mortality.

Neighborhood-level factors associated with COVID-19 vaccination rates: a case study in Chicago.

INTRODUCTION: Chicago's deeply-rooted racial and socioeconomic residential segregation is a pattern mirrored in other major cities, making it a prototype for studying the uptake of public health interventions across the US. Residential segregation is related to availability of primary care, sense of community, and trust in the healthcare system, components which are essential in the response to crises like Covid-19 in which vaccine rollout was primarily community-based. We aimed to evaluate the association between rates of access to primary care and community-belonging with Covid-19 vaccination within Chicago's neighborhoods. METHODS: Data from Chicago Department of Public Health (12/2020-6/2022) on Covid-19 vaccination rates, race/ethnicity (% Black and % Hispanic/Latinx residents), age (% >65), gender (% female), socioeconomic status (% below the federal poverty line), access to needed care rate, and rate of self-reported sense of community-belonging on the neighborhood level were analyzed. Linear mixed models (LMMs) were used to study the impact of variables on vaccination; each neighborhood was added as a random effect to account for with-community association. RESULTS: The average Covid-19 vaccination rates across Chicago's neighborhoods was 79%, ranging from 37 to 100%, with median 81%. We found that Covid-19 vaccination rates were positively correlated with access to needed care (p < 0.001) and community-belonging (p < 0.001). Community areas that had lower vaccination rates had greater percentage of Black residents (p < 0.0001) and greater poverty rates (p < 0.0001). After adjusting for poverty, race, gender and age in the models, the association between vaccination rates and access to care or community-belonging were no longer significant, but % Black residents and poverty remained significant. CONCLUSIONS: Though access to needed primary care and community-belonging are correlated with vaccination rates, this association was not significant when controlling for demographic factors. The association between poverty, race and vaccination status remained significant, indicating that socioeconomic and racial disparities across Chicago drive Covid-19 vaccine recommendation adherence regardless of care access. Understanding how poverty, and its intersectional relation to race and primary care access, affects vaccination should be a priority for public health efforts broadly.

A case report of youth-onset lipoprotein glomerulopathy with APOE Chicago mutation.

BACKGROUND: This article reports an extremely rare case of lipoprotein glomerulopathy (LPG) with apolipoprotein E gene (APOE) Chicago mutation in a young Chinese male. Only five cases or families with APOE Chicago mutations have been reported in the literature. CASE PRESENTATION: The young male patient is manifested with nephrotic syndrome, accompanied by hyperlipidemia with a preferable increase in triglycerides and elevated ApoE level. Renal biopsy of the patient showed highly dilated glomerular capillaries filled with vacuolar lipids, segmentally fused podocyte foot processes, vacuolar degeneration of renal tubular epithelial cells and absence of electron-dense material, which indicates the diagnosis of LPG. Whole-exome gene sequencing identified the heterozygous mutation of NM_000041.4:c.494G > C (p.Arg165Pro), which is in the exon 4 of the APOE gene and also known as APOE Chicago mutation, a rare mutation of LPG. Further family pedigree gene analysis clarified that the mutation was inherited from the patient's mother, who does not have high ApoE levels or renal manifestations. This is also consistent with the incomplete penetrance of APOE gene mutations in LPG. Under lipid-lowering treatments, including a low-fat diet and fenofibrate, the patient's urinary protein was partially controlled, and the albumin level was recovered. CONCLUSION: Patients with nephrotic syndrome and elevated ApoE levels should be prompted into renal biopsy to avoid delay of appropriate treatment and unnecessary use of glucocorticoids. This case of LPG was diagnosed by renal biopsy and further verified with genetic sequencing. The timely diagnosis and treatment improved the patient's symptoms. This case is one of only six reported LPG cases or families with APOE Chicago mutation in the world.

Year-round Observations of Adult Culex Mosquitoes in Storm Sewer Pipes in the Northwestern Chicago Suburbs.

Over the course of three years, 200 ft to 0.75 mi (60 m to 1.2 km) sections of 3 larger (>6 ft [1.8 m] diam) belowground storm sewer conveyance pipes in the northwestern Chicago suburbs were inspected for the presence of adult mosquitoes. Culex mosquitoes were by far the most common (555 of 556 [99.8%] total mosquitoes) collected within pipes during all four meteorological seasons (i.e. during months of October, January, May, August). These observations support prior work elsewhere, suggesting storm sewer pipes are consistent sites of refuge for adult Culex mosquitoes.

Suicide Methods and Trends Across Race/Ethnicity, Age, and Sex Groups in Chicago, Illinois, 2015-2021.

Objectives. To measure differences in suicide rates across race/ethnicity, age, and sex groups in Chicago, Illinois, from 2015 to 2021. Methods. We calculated the incidence rate and annual percentage change in suicides among Asian, Black, Latino/a, and White persons in Chicago. We also analyzed patterns in suicide method across race/ethnicity, age, and sex groups. Results. Suicides increased significantly among Black males (incidence rate ratio [IRR] = 1.10; 95% confidence interval [CI] = 1.01, 1.20), Black females (IRR = 1.18; 95% CI = 1.04, 1.33), and Latino males (IRR = 1.23; 95% CI = 1.11, 1.38) between 2015 and 2021. Suicides decreased overall among White Chicagoans during this period. A significantly greater proportion of Black males than Black females died by suicide using a firearm (55.79% vs 24.05%; P < .001). Similar results were detected for Latino males and females (32.99% vs 9.09%; P = .001) and White males and females (30.10% vs 11.73%; P < .001). Conclusions. Black persons in Chicago were the only group to experience significant increases in suicide among both males and females from 2015 to 2021, although specific methods used varied by race/ethnicity and sex group. (Am J Public Health. 2024;114(3):319-328. https://doi.org/10.2105/AJPH.2023.307511).

An Academic-Community Partnership to Address Gun Violence in the Roseland Neighborhood of Chicago.

BACKGROUND AND OBJECTIVES: Gun violence is the leading cause of death for youth. This study examined an academic-community partnership to address gun violence through a strength-based approach called Asset-Based Community Development. METHODS: We used a case study design. Participants were Black youth who encounter frequent gun violence (average age = 16.7 years; 72% male). Our partnership involved survey development/completion and semistructured discussions. We also interviewed community stakeholders to collect data on local assets. We interpreted data through a communitywide forum to guide social action to address gun violence. RESULTS: The majority of youth (76%) witnessed neighborhood violence in the last year. The top youth concerns related to gun violence included poverty, guns, and gangs. Community stakeholders saw local people and local organizations as primary community assets. A community forum to interpret these data led to social action in the form of an environmental strategy-cleaning up an unused commercial building for the development of a youth tech center. The majority of youth participants (89.5%) agreed or strongly agreed that they had a voice in the research process. CONCLUSION: Participatory research that takes an asset-based approach can enable relevant inquiry that engages youth and guides social action to address gun violence.

Uterine Fibroid Prevalence in a Predominantly Black, Chicago-Based Cohort.

(1) Objectives: To investigate the effect of individual-level, neighborhood, and environmental variables on uterine fibroid (UF) prevalence in a Chicago-based cohort. (2) Methods: Data from the Chicago Multiethnic Prevention and Surveillance Study (COMPASS) were analyzed. Individual-level variables were obtained from questionnaires, neighborhood variables from the Chicago Health Atlas, and environmental variables from NASA satellite ambient air exposure levels. The Shapiro-Wilk test, logistic regression models, and Spearman's correlations were used to evaluate the association of variables to UF diagnosis. (3) Results: We analyzed 602 participants (mean age: 50.3 ± 12.3) who responded to a question about UF diagnosis. More Black than White participants had a UF diagnosis (OR, 1.32; 95% CI, 0.62-2.79). We observed non-significant trends between individual-level and neighborhood variables and UF diagnosis. Ambient air pollutants, PM2.5, and DSLPM were protective against UF diagnosis (OR 0.20, CI: 0.04-0.97: OR 0.33, CI: 0.13-0.87). (4) Conclusions: Associations observed within a sample in a specific geographic area may not be generalizable and must be interpreted cautiously.

Prevalence of Keratoconus Based on Scheimpflug Corneal Tomography Metrics in a Pediatric Population From a Chicago-Based School Age Vision Clinic.

PURPOSE: Determine the pediatric prevalence of keratoconus (KC) using Scheimpflug corneal tomography. METHODS: A prospective observational study was done on subjects aged 3 to 18 years at the Princeton Vision Clinic, Chicago, IL. Scheimpflug tomography (Pentacam HR, OCULUS Optikgerate GmbH) scans (Belin/Ambrósio Enhanced Ectasia BAD3) yielded BAD Final D (Final D) and Back Elevation at the Thinnest Point (BETP) measurements. Criteria differentiating non-KC from KC suspects & KC were, Non-KC -Final D <2.00 in both eyes; KC suspect -Final D ≥2.00 and <3.00 in combination with BETP ≥18 µm for myopia and ≥28 µm for hyperopia/mixed astigmatism in at least one eye; and KC -Final D of ≥3.00 with BETP ≥18 µm for myopia or ≥28 µm for hyperopia/mixed astigmatism in at least one eye. Two thousand two hundred and six subjects were recorded, removing duplicate and poor-quality scans leaving 2007 subjects. RESULTS: Of 2007 subjects, six were classified as KC -prevalence of 1:334, three subjects were KC suspects -prevalence of 1:669, and total prevalence of KC suspects and KC was 1:223. CONCLUSION: The prevalence of KC in children is higher than previously reported, emphasizing the importance of sensitive screening for KC at its earliest manifestation as standard in pediatric comprehensive eye examinations.

Two-step light gradient boosted model to identify human west nile virus infection risk factor in Chicago.

West Nile virus (WNV), a flavivirus transmitted by mosquito bites, causes primarily mild symptoms but can also be fatal. Therefore, predicting and controlling the spread of West Nile virus is essential for public health in endemic areas. We hypothesized that socioeconomic factors may influence human risk from WNV. We analyzed a list of weather, land use, mosquito surveillance, and socioeconomic variables for predicting WNV cases in 1-km hexagonal grids across the Chicago metropolitan area. We used a two-stage lightGBM approach to perform the analysis and found that hexagons with incomes above and below the median are influenced by the same top characteristics. We found that weather factors and mosquito infection rates were the strongest common factors. Land use and socioeconomic variables had relatively small contributions in predicting WNV cases. The Light GBM handles unbalanced data sets well and provides meaningful predictions of the risk of epidemic disease outbreaks.

Centering PrEP: utilizing ADAPT-ITT to inform group PrEP care for sex workers in Chicago.

BACKGROUND: Sex workers, those who trade sex for monetary or nonmonetary items, experience high rates of HIV transmission but have not been adequately included in HIV prevention and Pre-Exposure Prophylaxis (PrEP) adherence program development research. Community-empowered (C.E.) approaches have been the most successful at reducing HIV transmission among sex workers. Centering Healthcare (Centering) is a C.E. model proven to improve health outcomes and reduce health disparities in other populations, such as pregnant women, people with diabetes, and sickle cell disease. However, no research exists to determine if Centering can be adapted to meet the unique HIV prevention needs of sex workers. OBJECTIVE: We aim to explain the process by which we collaboratively and iteratively adapted Centering to meet the HIV prevention and PrEP retention needs of sex workers. METHODS: We utilized the Assessment, Decision, Adaptation, Production, Topical Experts, Integration, Training, Testing (ADAPT-ITT) framework, a model for adapting evidence-based interventions. We applied phases one through six of the ADAPT-ITT framework (Assessment, Decision, Adaptation, Production, Topical Experts, Integration) to the design to address the distinct HIV prevention needs of sex workers in Chicago. Study outcomes corresponded to each phase of the ADAPT-ITT framework. Data used for adaptation emerged from collaborative stakeholder meetings, individual interviews (n = 36) and focus groups (n = 8) with current and former sex workers, and individual interviews with care providers (n = 8). In collaboration with our community advisory board, we used a collaborative and iterative analytical process to co-produce a culturally adapted 3-session facilitator's guide for the Centering Pre-exposure Prophylaxis (C-PrEP +) group healthcare model. RESULTS: The ADAPT-ITT framework offered structure and facilitated this community-empowered innovative adaptation of Centering Healthcare. This process culminated with a facilitator's guide and associated materials ready for pilot testing. CONCLUSIONS: In direct alignment with community empowerment, we followed the ADAPT-ITT framework, phases 1-6, to iteratively adapt Centering Healthcare to suit the stated HIV Prevention and PrEP care needs of sex workers in Chicago. The study represents the first time the first time Centering has been adapted to suit the HIV prevention and PrEP care needs of sex workers. Addressing a gap in HIV prevention care for sex workers, Centering PrEP harnesses the power of community as it is an iteratively adapted model that can be piloted and replicated regionally, nationally, and internationally.

The Epidemic of Internalizing Problems Among Latinx Adolescents Before and During the Coronavirus 2019 Pandemic.

OBJECTIVE: Latinx youth exhibit disproportionately higher internalizing symptoms than their peers from other racial/ethnic groups. This study compares depression and anxiety symptoms between referred students of Latinx and non-Latinx backgrounds before and during the COVID-19 pandemic and examines key determinants within the Latinx sample. METHOD: Data are analyzed from four academic years - two before and two during the pandemic - from 1220 5th through 8th grade students (Mage = 12.1; 59.6% female; 59.9% Latinx or mixed-Latinx) referred for services across 59 Chicago Public School District (CPS) elementary schools. Using the Children's Depression Inventory (CDI) and the Revised Child Anxiety and Depression Scale (RCADS), mean scores and risk levels for depression, social anxiety, and generalized anxiety are examined. RESULTS: Higher internalizing risk and comorbidity rates were found in the second year of the pandemic, compared to pre-pandemic levels. Latinx students reported higher depression, social anxiety, and generalized anxiety symptoms than non-Latinx students. During the pandemic, more Latinx students were classified as having comorbid depression and anxiety, and scored in the clinical range for depression, generalized anxiety, and social anxiety than non-Latinx students. Within the Latinx sample, girls and gender non-conforming students reported the highest maladjustment. CONCLUSIONS: Results highlight the pressing need to examine the long-term impact of COVID-19 on the mental health of Latinx children and adolescents, and to address their internalizing problems.

The Role of Health Insurance Type and Clinic Visit on Hypertension Status Among Multiethnic Chicago Residents.

PURPOSE: To investigate the joint relationship of health insurance and clinic visit with hypertension among underserved populations. DESIGN: Population-based cohort study. SUBJECTS: Data from 1092 participants from the Chicago Multiethnic Prevention and Surveillance Study (COMPASS) between 2013 and 2020 were analyzed. MEASURES: Five health insurance types were included: uninsured, Medicaid, Medicare, private, and other. Clinic visit over past 12 months were retrieved from medical records and categorized into 4 groups: no clinic visit, 1-3 visits, 4-7 visits, >7 visits. ANALYSIS: Inverse-probability weighted logistic regression was used to estimate odds ratios (OR) and 95% confidence interval (CI) for hypertension status according to health insurance and clinic visit. Models were adjusted for individual socio-demographic variables and medical history. RESULTS: The study population was predominantly Black (>85%) of low socioeconomic status. Health insurance was not associated with more clinic visit. Measured hypertension was more frequently found in private insurance (OR = 6.48, 95% CI: 1.92-21.85) compared to the uninsured group, while 1-3 clinic visits were associated with less prevalence (OR = .59, 95% CI: .35-1.00) compared to no clinic visit. These associations remained unchanged when health insurance and clinic visit were adjusted for each other. CONCLUSION: In this study population, private insurance was associated with higher measured hypertension prevalence compared to no insurance. The associations of health insurance and clinic visit were independent of each other.