Impact of environmental pollutants on pediatric brain tumor incidence in New Jersey.

OBJECTIVE: The relationship between environmental contaminants and brain tumor incidence in adults has been thoroughly explored but research into how these contaminants affect pediatric brain tumor (PBT) incidence has not been explored. Children, typically having more limited geographical movement and thus more consistent environmental contaminant exposure, might offer more reliable insights into which environmental contaminants affect the incidence of brain tumors. The present study is the first to focus on exploring whether a possible association exists between the incidence of PBTs and exposure to environmental pollutants in New Jersey (NJ). METHODS: Linear regressions were run between PBT incidence and the concentration of air quality pollutants such as Ozone (O3), Particulate Matter 2.5 (PM2.5), Particulate Matter 10 (PM10), and Carbon Monoxide (CO). Similarly, linear regressions were run between PBT incidence and Elevated Blood Lead Levels (BLL). RESULTS: The study observed a significant positive relationship between O3 and PBT incidence (ß = 0.34, p = 0.028). However, the relationship between PBT incidence, and environmental pollutants such as CO (ß = 0.0047, p = 0.098), PM2.5 (ß = -0.2624, p = 0.74), and PM10 (ß = -0.7353, p = 0.073) were found to be nonsignificant. For elevated BLL, nonsignificant relationships with PBT incidence were observed at 10-14 µg/dL (ß = -39.38, p = 0.30), 15-19 µg/dL (ß = -67.00, p = 0.21), and 20-44 µg/dL (ß = -201.98, p = 0.12). CONCLUSIONS: The results indicate a possible impact of O3 on the incidence of PBTs in NJ. In contrast to the significant links found in prior studies of adult brain tumors, the associations between PBT occurrence and particulate matter were not significant. These findings highlight the importance of further investigating how environmental factors, especially O3, relate to PBTs.

Interstate Highway Connections and Traced Gun Transfers Between the 48 Contiguous United States.

Importance: Interstate gun flow has critical implications for gun violence prevention, as gun transfers across state lines can undermine local gun control policies. Objective: To identify possible gun trafficking routes along interstate highways in the US. Design, Setting, and Participants: This repeated-measures, ecological, cross-sectional study used data from the Bureau of Alcohol, Tobacco, Firearms and Explosives from January 1, 2010, to December 31, 2019, to examine associations between interstate connections via 13 highways that each spanned at least 1000 miles and interstate traced gun transfer counts for the 48 contiguous United States. Analyses were completed in November 2023. Exposures: Characteristics of the origin states and the transportation connections between the destination state and the origin states. Main Outcomes and Measures: The main outcome was the total count of guns used in crimes in each destination state per year that were originally purchased in the origin state. Bayesian conditional autoregressive Poisson models were used to examine associations between the count of guns used in crime traced to interstate purchases and interstate highway connections between origin and destination states. Results: Between 2010 and 2019, 526 801 guns used in crimes in the contiguous 48 states were traced to interstate purchases. Northbound gun transfers along the Interstate 95 corridor were greater than expected to New Jersey (incidence rate ratio [IRR], 2.80; 95% credible interval [CrI], 1.01-7.68) and Maryland (IRR, 3.07; 95% CrI, 1.09-8.61); transfers were similarly greater along Interstate 15 southbound, Interstate 25 southbound, Interstate 35 southbound, Interstate 75 northbound and southbound, Interstate 10 westbound, and Interstate 20 eastbound and westbound. Conclusions and Relevance: This repeated-measures, ecological, cross-sectional study identified that guns used in crimes traced to interstate purchases moved routinely between states along multiple major transportation routes. Interstate gun transfers are a major contributor to gun crime, injury, and death in the US. National policies and interstate cooperation are needed to address this issue.

The influence of primary language on postoperative stroke outcomes.

BACKGROUND: Language barriers have the potential to influence acute stroke outcomes. Thus, we examined postoperative stroke outcomes among non-English primary language speakers. METHODS: Utilizing the Healthcare Cost and Utilization Project State Inpatient Database (2016-2019), we conducted a retrospective cohort study of adults diagnosed with a postoperative stroke in Michigan, Maryland, and New Jersey. Patients were classified by primary language spoken: English (EPL) or non-English (n-EPL). The primary outcome was hospital length-of-stay. Secondary outcomes included stroke intervention, feeding tube, tracheostomy, mortality, cost, disposition, and readmission. Propensity-score matching and post-match regression were used to quantify outcomes. RESULTS: Among 3078 postoperative stroke patients, 6.2 â€‹% were n-EPL. There were no differences in length-of-stay or secondary outcomes, except for higher odds of feeding tube placement (OR 1.95, 95 â€‹% CI 1.10-3.47, p â€‹= â€‹0.0227) in n-EPL. CONCLUSIONS: Postoperative stroke outcomes were comparable by primary language spoken. However, higher odds of feeding tube placement in n-EPL may suggest differences in patient-provider communication.

Management patterns of multiple magnet ingestion reported to New Jersey Poison Information and Education System.

BACKGROUND: Ingestion of multiple high-powered neodymium rare-earth magnets poses a significant risk for gastrointestinal (GI) injury such as bowel perforation or ischemia. Given the rising incidence of rare earth magnetic ingestions and the corresponding increase in serious injuries in children, published guidelines recommend urgent endoscopic removal of all magnets within endoscopic reach in cases involving ingestions of two or more magnets. RESEARCH QUESTION: Do management patterns for multiple magnet ingestion align with current practice guidelines, and does hospital length of stay (LOS) differ based on the initial emergency department (ED) approach? METHODS: This is a retrospective chart review of consecutive patient encounters reported to the New Jersey Poison Information and Education System (NJPIES) between January 2021 and April 2022 involving multiple magnet ingestion. Potential cases were retrieved from the NJPIES TOXICALL® database, using substance codes relating to magnet or foreign body ingestion. Two-sample T tests were used to determine the statistical difference in the hospital LOS between the group of patients receiving early emergent esophagogastroduodenoscopy (EGD) versus those receiving expectant management on initial presentation. RESULTS: There was a difference in the average LOS of 2.7 days (p = 0.023) longer in the expectant management group with no medical complications in either group. Twenty-five percent or 2 out of 8 cases deviated from guidelines. CONCLUSION: The initial ED decision to pursue expectant management instead of attempting emergent EGD removal of magnets may result in prolonged hospitalization, increased risk for readmission, and delayed definitive removal of magnets due to nonprogression along the GI tract.

Public opinion on the expenditure of adult-use cannabis tax revenue: Evidence from New Jersey.

OBJECTIVES: To describe New Jersey residents' relative priorities for the allocation of tax revenue generated by recreational cannabis sales. We aim to assess preferences for public health initiatives, including drug treatment, compared to a range of alternatives, including traditional policing, especially within the social and demographic groupings of people generally most impacted by punitive drug enforcement policies. METHODS: We collected population-representative survey data four months post-implementation of recreational cannabis sales in New Jersey (N = 1,006). We gauge respondents' top preferences for the allocation of new revenue generated by the legal cannabis market. Using multinomial logistic regression, we assess how various demographic and political factors shape public support for devoting revenue toward public health initiatives. RESULTS: While priorities are mixed within the sample, we find more general support for funding community-based initiatives in public health, housing, and education than for funding police, courts, and prisons. Among Black residents, the largest proportion chose investments in affordable housing. Regression analysis reveals political orientation as having the most consistent association with expressed preferences, with Republicans favoring investments in traditional law enforcement priorities over other potential funding domains. CONCLUSIONS: Recreational cannabis legalization is occurring at a rapid pace, yet important context, including how the tax revenue could be invested in communities, remains unclear. Insight into current public opinion on funding priorities suggests a desire for investment in fundamental societal institutions, including education and public health, rather than the punitive enforcement mechanisms that have defined cannabis policy for many decades.

Association of Medicaid Privatization With Patient Cancer Outcomes.

PURPOSE: Increasingly, states outsource administration of Medicaid insurance to privately administered Medicaid managed care organizations. However, on January 1, 2012, Connecticut transitioned from a privately to publicly administered Medicaid system. New Jersey retained a private model. METHODS: Our objective was to assess rates of early-stage cancer diagnosis and cancer survival in two states with similar sociodemographic characteristics but differing exposures to Medicaid privatization. Using data from the SEER Program between 2007 and 2016, Connecticut and New Jersey Medicaid patients with 10 common solid cancers including breast, lung, colorectal, prostate, kidney, bladder, cervix, uterus, head and neck cancer, and melanoma were included. A difference-in-differences analysis of stage of cancer presentation and cancer survival in Connecticut (intervention) was compared with New Jersey (control). RESULTS: Among 29,328 patients (14,424 patients from Connecticut and 14,904 patients from New Jersey) parallel trends were verified in early cancer diagnosis and survival for both states under privately administered Medicaid (pre-exposure). Connecticut's transition from privately to publicly administered Medicaid was associated with an adjusted 4.0% increase in overall early-stage cancer diagnosis (95% CI, +1.7% to +6.2%) and a 4.7% increase in early-stage cancer diagnosis for cancers with US Preventive Services Taskforce A/B recommendations for cancer screening (95% CI, 1.6% to 7.8%). Public administration of Medicaid was also associated with improved overall survival after cancer diagnosis (hazard ratio, 0.92 [95% CI, 0.85 to 0.99]). No changes were observed in New Jersey. CONCLUSION: Transition from private to public administration of Medicaid in Connecticut was associated with earlier-stage cancer diagnosis and improved cancer survival.

Perspectives on Human Papilloma Virus Vaccination Barriers, Knowledge and Beliefs, and Practices: Providers Serving Arab-American Populations.

Little is known of HPV vaccination (HPVV) recommendation practices among healthcare providers who treat the Arab American community. Evidence indicates that HPVV patient uptake is low in this population. A survey was administered to healthcare providers (N = 46, 63% response rate) who treated ≥ 5% Arab American patients aged 9-26 years in areas of New York City and New Jersey with large Arab American populations. They were asked about barriers to HPVV recommendation and uptake among their Arab American patients. Providers (Doctors of Medicine and Osteopathy, Nurse Practitioners, and Physician Assistants) mostly worked in pediatrics (41%), primary care/internal medicine (26%), obstetrics/gynecology (20%), and family medicine (15%). Most (91%) were confident in their ability to effectively counsel their patients on HPVV. The most frequent provider-reported barriers to administering the HPVV to Arab American patients were patient cultural/religious practices (reported by 67%) and patient and provider difficulties with insurance reimbursement (44%). Most providers (84%) agreed that organizations/programs to increase HPVV uptake among Arab American patients were needed. Providers felt that HPVV uptake could be increased with educational materials in the patients' native languages ("very useful," 81%) and provider cultural competency training ("very useful," 65%). In responses to open-ended questions, cultural and religious HPVV barriers were a salient topic, as were linguistic barriers and provider burdens related to HPVV costs and regulations. HPVV uptake could potentially be improved with Arabic language education materials, provider education that is culturally and linguistically tailored to the Arab American community, and policies to address HPVV financial and regulatory burdens.

Changes in the burden of medications that may impair driving among older adults before and after a motor vehicle crash.

BACKGROUND: Medications are one of the most easily modifiable risk factors for motor vehicle crashes (MVCs) among older adults, yet limited information exists on how the use of potentially driver-impairing (PDI) medications changes following an MVC. Therefore, we examined the number and types of PDI medication classes dispensed before and after an MVC. METHODS: This observational study included Medicare fee-for-service beneficiaries aged ≥67 years who were involved in a police-reported MVC in New Jersey as a driver between 2008 and 2017. Analyses were conducted at the "person-crash" level because participants could be involved in more than one MVC. We examined the use of 36 PDI medication classes in the 120 days before and 120 days after MVC. We described the number and prevalence of PDI medication classes in the pre-MVC and post-MVC periods as well as the most common PDI medication classes started and stopped following the MVC. RESULTS: Among 124,954 person-crashes, the mean (SD) age was 76.0 (6.5) years, 51.3% were female, and 83.9% were non-Hispanic White. The median (Q1 , Q3 ) number of PDI medication classes was 2 (1, 4) in both the pre-MVC and post-MVC periods. Overall, 20.3% had a net increase, 15.9% had a net decrease, and 63.8% had no net change in the number of PDI medication classes after MVC. Opioids, antihistamines, and thiazide diuretics were the top PDI medication classes stopped following MVC, at incidences of 6.2%, 2.1%, and 1.7%, respectively. The top medication classes started were opioids (8.3%), skeletal muscle relaxants (2.2%), and benzodiazepines (2.1%). CONCLUSIONS: A majority of crash-involved older adults were exposed to multiple PDI medications before and after MVC. A greater proportion of person-crashes were associated with an increased rather than decreased number of PDI medications. The reasons why clinicians refrain from stopping PDI medications following an MVC remain to be elucidated.

Delayed Diagnosis of Human Immunodeficiency Virus in the Latino Population at a Federally Qualified Community Health Center in New Jersey.

Late diagnosis of human immunodeficiency virus (HIV) is associated with early progression to acquired immunodeficiency syndrome (AIDS). We examined racial/ethnic differences in presentation with advanced HIV/AIDS at a community health center in New Jersey. Records of patients diagnosed with HIV between 1990 and 2018 were reviewed. Odds ratios (OR) of presenting with AIDS at HIV diagnosis were computed in unadjusted and adjusted models. There were 182 (48.3%) Latino, 48 (12.7%) non-Latino White (NLW), 130 (34.5%) non-Latino Black, and 17 (4.5%) non-Latino of other race/ethnicity included in the analysis. Over 75% of the Latinos were foreign-born. Latino patients had higher odds of presentation with AIDS at time of HIV diagnosis than NLW in unadjusted (OR = 4.85, 95% confidence interval (95% CI): 2.28-10.31) and adjusted models (OR = 3.71, 95%CI: 1.60-8.59). Latino patients, particularly foreign-born and bisexual, had higher odds of being diagnosed with AIDS at presentation with HIV in this cohort.

Experiences and lessons learned from community-engaged recruitment for the South Asian breast cancer study in New Jersey during the COVID-19 pandemic.

BACKGROUND: South Asians are a rapidly growing population in the United States. Breast cancer is a major concern among South Asian American women, who are an understudied population. We established the South Asian Breast Cancer (SABCa) study in New Jersey during early 2020 to gain insights into their breast cancer-related health attitudes. Shortly after we started planning for the study, the COVID-19 disease spread throughout the world. In this paper, we describe our experiences and lessons learned from recruiting study participants by partnering with New Jersey's community organizations during the COVID-19 pandemic. METHODS: We used a cross-sectional design. We contacted 12 community organizations and 7 (58%) disseminated our study information. However, these organizations became considerably busy with pandemic-related needs. Therefore, we had to pivot to alternative recruitment strategies through community radio, Rutgers Cancer Institute of New Jersey's Community Outreach and Engagement Program, and Rutgers Cooperative Extension's community health programs. We recruited participants through these alternative strategies, obtained written informed consent, and collected demographic information using a structured survey. RESULTS: Twenty five women expressed interest in the study, of which 22 (88%) participated. Nine (41%) participants learned about the study through the radio, 5 (23%) through these participants, 1 (4.5%) through a non-radio community organization, and 7 (32%) through community health programs. Two (9%) participants heard about the study from their spouse. All participants were born outside the US, their average age was 52.4 years (range: 39-72 years), and they have lived in the US for an average of 26 years (range: 5-51 years). CONCLUSION: Pivoting to alternative strategies were crucial for successful recruitment. Findings suggest the significant potential of broadcast media for community-based recruitment. Family dynamics and the community's trust in our partners also encouraged participation. Such strategies must be considered when working with understudied populations.

Evolutionary Insight into the Association between New Jersey Polyomavirus and Humans.

Advances in viral discovery techniques have led to the identification of numerous novel viruses in human samples. However, the low prevalence of certain viruses in humans raises doubts about their association with our species. To ascertain the authenticity of a virus as a genuine human-infecting agent, it can be useful to investigate the diversification of its lineage within hominines, the group encompassing humans and African great apes. Building upon this rationale, we examined the case of the New Jersey polyomavirus (NJPyV; Alphapolyomavirus terdecihominis), which has only been detected in a single patient thus far. In this study, we obtained and analyzed sequences from closely related viruses infecting all African great ape species. We show that NJPyV nests within the diversity of these viruses and that its lineage placement is compatible with an ancient origin in humans, despite its apparent rarity in human populations.

Rutgers Cancer Institute of New Jersey's Community Outreach and Engagement Approach to Cancer Prevention.

Rutgers Cancer Institute of New Jersey (New Brunswick, NJ) is committed to providing cancer prevention education, outreach, and clinical services in our catchment area (CA). Our approach to cancer prevention includes ongoing surveillance to better understand the CA cancer burden and opportunities for intervention, leveraging community partnerships, and vigorously engaging diverse communities to understand and address their needs. This approach considers individual, sociocultural, environmental, biologic, system, and policy-level factors with an equity lens. Rutgers Cancer Institute has had substantial impact on cancer prevention (risk reduction, screening, and early detection) over the past five years, including the development of a CA data dashboard advancing implementation of evidence-based cancer control actions by leveraging 357 healthcare and community partners (with 522 partner sites). Furthermore, we provided professional education (attendance 19,397), technical assistance to community organizations (1,875 support sessions), educational outreach for community members (87,000+ through direct education), facilitated access to preventive services (e.g., 60,000+ screenings resulting in the detection of >2,000 malignant and premalignant lesions), contributed to advances in health policy and population-level improvements in risk reduction behaviors, screening, and incidence. With longer-term data, we will assess the impact of our cancer prevention efforts on cancer incidence, downward shifts in stage at diagnosis, mortality, and disparities.

Molecular and Clinical Epidemiology of SARS-CoV-2 Infection among Vaccinated and Unvaccinated Individuals in a Large Healthcare Organization from New Jersey.

New Jersey was among the first states impacted by the COVID-19 pandemic, with one of the highest overall death rates in the nation. Nevertheless, relatively few reports have been published focusing specifically on New Jersey. Here we report on molecular, clinical, and epidemiologic observations, from the largest healthcare network in the state, in a cohort of vaccinated and unvaccinated individuals with laboratory-confirmed SARS-CoV-2 infection. We conducted molecular surveillance of SARS-CoV-2-positive nasopharyngeal swabs collected in nine hospitals from December 2020 through June 2022, using both whole genome sequencing (WGS) and a real-time RT-PCR screening assay targeting spike protein mutations found in variants of concern (VOCs) within our region. De-identified clinical data were obtained retrospectively, including demographics, COVID-19 vaccination status, ICU admission, ventilator support, mortality, and medical history. Statistical analyses were performed to identify associations between SARS-CoV-2 variants, vaccination status, clinical outcomes, and medical risk factors. A total of 5007 SARS-CoV-2-positive nasopharyngeal swabs were successfully screened and/or sequenced. Variant screening identified three predominant VOCs, including Alpha (n = 714), Delta (n = 1877), and Omicron (n = 1802). Omicron isolates were further sub-typed as BA.1 (n = 899), BA.2 (n = 853), or BA.4/BA.5 (n = 50); the remaining 614 isolates were classified as "Other". Approximately 31.5% (1577/5007) of the samples were associated with vaccine breakthrough infections, which increased in frequency following the emergence of Delta and Omicron. Severe clinical outcomes included ICU admission (336/5007 = 6.7%), ventilator support (236/5007 = 4.7%), and mortality (430/5007 = 8.6%), with increasing age being the most significant contributor to each (p < 0.001). Unvaccinated individuals accounted for 79.7% (268/336) of ICU admissions, 78.3% (185/236) of ventilator cases, and 74.4% (320/430) of deaths. Highly significant (p < 0.001) increases in mortality were observed in individuals with cardiovascular disease, hypertension, cancer, diabetes, and hyperlipidemia, but not with obesity, thyroid disease, or respiratory disease. Significant differences (p < 0.001) in clinical outcomes were also noted between SARS-CoV-2 variants, including Delta, Omicron BA.1, and Omicron BA.2. Vaccination was associated with significantly improved clinical outcomes in our study, despite an increase in breakthrough infections associated with waning immunity, greater antigenic variability, or both. Underlying comorbidities contributed significantly to mortality in both vaccinated and unvaccinated individuals, with increasing risk based on the total number of comorbidities. Real-time RT-PCR-based screening facilitated timely identification of predominant variants using a minimal number of spike protein mutations, with faster turnaround time and reduced cost compared to WGS. Continued evolution of SARS-CoV-2 variants will likely require ongoing surveillance for new VOCs, with real-time assessment of clinical impact.

Factors associated with health-related quality of life in a cohort of cancer survivors in New Jersey.

BACKGROUND: Although there is extensive literature on correlates of health-related quality of life (HRQoL) among cancer survivors, there has been less attention paid to the role of socioeconomic disadvantage and survivorship care transition experiences in HRQoL. There are few large cohort studies that include a comprehensive set of correlates to obtain a full picture of what is associated with survivors' HRQ0L. This cohort study of recent cancer survivors in New Jersey aimed to explore the association between social determinants of health, health history, health behaviors, survivorship care experiences, and psychosocial factors in HRQoL. METHODS: Eligible survivors were residents of New Jersey diagnosed with genitourinary, female breast, gynecologic, colorectal, lung, melanoma, or thyroid cancers. Participants completed measures of social determinants, health behaviors, survivorship care experiences, psychosocial factors, and HRQoL. Separate multiple regression models predicting HRQoL were conducted for each of the five domains (social determinants, health history, health behaviors, survivorship care experiences, psychosocial factors). Variables attaining statistical significance were included in a hierarchical multiple regression arranged by the five domains. RESULTS: 864 cancer survivors completed the survey. Lower global HRQoL was associated with being unemployed, more comorbidities, a less healthy diet, lower preparedness for survivorship, more unmet support needs, and higher fear about cancer recurrence. Two psychosocial factors, unmet support needs and fear of recurrence, played the most important role in HRQoL, accounting for more than 20% of the variance. Both unmet support needs and fear of recurrence were significant correlates of physical, functional, and emotional HRQoL domains. CONCLUSIONS: Interventions seeking to improve cancer survivors' HRQoL may benefit from improving coordinated management of comorbid medical problems, fostering a healthier diet, addressing unmet support needs, and reducing survivors' fears about cancer recurrence.

Ethnic enclaves and colon cancer stage at diagnosis among New Jersey Hispanics.

Ethnic enclaves are neighborhoods with high concentrations of individuals of the same ethnic origin. Researchers have hypothesized that residence in ethnic enclaves may contribute to cancer outcomes through detrimental or protective pathways. A limitation of previous work, however, is their cross-sectional approach whereby an individual's residence at the time of diagnosis was used to capture residence in an ethnic enclave at a single point in time. This study addresses this limitation by adopting a longitudinal approach to investigating the association between the duration of residence in an ethnic enclave and the colon cancer (CC) stage at diagnosis. Colon cancer incidence cases diagnosed between 2006 and 2014, for Hispanics aged 18 years and older from the New Jersey State Cancer Registry (NJSCR) were linked to residential histories obtained from a commercial database LexisNexis, Inc. We examined associations between residence in an enclave and stage at diagnosis using binary and multinomial logistic regression, adjusted for age, sex, primary payer, and marital status. Among the 1076 Hispanics diagnosed with invasive colon cancer in New Jersey from 2006 to 2014, 48.4% lived in a Hispanic enclave at the time of diagnosis. Over the ten years preceding CC diagnosis, 32.6% lived in an enclave for the entire period. We found that Hispanics living in an ethnic enclave at diagnosis had significantly lower odds of distant-stage CC than Hispanics not living in an enclave at the time of diagnosis. Additionally, we found a significant association between living in an enclave for an extended period (e.g., over ten years) and lower odds of being diagnosed with distant stage CC. Integrating residential histories opens research possibilities to examine how minorities' residential mobility and residence in enclaves affect cancer diagnosis over time.

Disparities in geospatial patterns of cancer care within urban counties and structural inequities in access to oncology care.

OBJECTIVE: To examine geospatial patterns of cancer care utilization across diverse populations in New Jersey-a state where most residents live in urban areas. DATA SOURCES/STUDY SETTING: We used data from the New Jersey State Cancer Registry from 2012 to 2014. STUDY DESIGN: We examined the location of cancer treatment among patients 20-65 years of age diagnosed with breast, colorectal, or invasive cervical cancer and investigated differences in geospatial patterns of care by individual and area-level (e.g., census tract-level) characteristics. DATA COLLECTION/EXTRACTION METHODS: Multivariate generalized estimating equation models were used to determine factors associated with receiving cancer treatment within residential counties, residential hospital service areas, and in-state (versus out-of-state) care. PRINCIPAL FINDINGS: We observed significant differences in geospatial patterns of cancer treatment by race/ethnicity, insurance type, and area-level factors. Even after adjusting for tumor characteristics, insurance type, and other demographic factors, non-Hispanic Black patients had a 5.6% higher likelihood of receiving care within their own residential county compared to non-Hispanic White patients (95% CI: 2.80-8.41). Patients insured with Medicaid and those without insurance had higher likelihoods of receiving care within their residential county compared to privately insured individuals. Patients living in census tracts with the highest quintile of social vulnerability were 4.6% more likely to receive treatment within their residential county (95% CI: 0.00-9.30) and were 2.7% less likely to seek out-of-state care (95% CI: -4.85 to -0.61). CONCLUSIONS: Urban populations are not homogenous in their geospatial patterns of cancer care utilization, and individuals living in areas with greater social vulnerability may have limited opportunities to access care outside of their immediate residential county. Geographically tailored efforts, along with socioculturally tailored efforts, are needed to help improve equity in cancer care access.

Association of Cigarette Smoking and Alcohol Consumption With Subsequent Mortality Among Black Breast Cancer Survivors in New Jersey.

Importance: There are limited data about how lifestyle factors are associated with breast cancer prognosis among Black or African American women because most of the evidence is based on studies of White breast cancer survivors. Objective: To examine the association of prediagnostic cigarette smoking and alcohol consumption with all-cause mortality and breast cancer-specific mortality in a cohort of Black breast cancer survivors. Design, Setting, and Participants: This population-based cohort study included 1926 Black or African American breast cancer survivors who received a diagnosis from June 6, 2005, to May 21, 2019, identified in 10 counties in New Jersey through rapid case ascertainment by the New Jersey State Cancer Registry. Statistical analysis was conducted from January 1, 2021, to August 1, 2022. Exposures: Information on prediagnostic cigarette smoking, alcohol consumption, and additional covariates was collected during in-person interviews. The covariates examined included smoking status at the time of breast cancer diagnosis (currently smoking at the time of breast cancer diagnosis, formerly smoking, or never smoking), smoking duration (number of years smoking), smoking intensity (cigarettes smoked per day), number of pack-years of smoking, and regular alcohol consumption the year before diagnosis (categorized as nondrinkers, ≤3 drinks per week, or >3 drinks per week). Main Outcomes and Measures: Primary outcomes included breast cancer-specific mortality and all-cause mortality. Results: Among the 1926 women in the study, the mean (SD) age at breast cancer diagnosis was 54.4 (10.8) years. During 13 464 person-years of follow-up (median follow-up, 6.7 years [range, 0.5-16.0 years]), there were 337 deaths, of which 187 (55.5%) were breast cancer related. Compared with never smokers, current smokers at the time of breast cancer diagnosis had a 52% increased risk for all-cause mortality (hazard ratio [HR], 1.52; 95% CI, 1.15-2.02), which was most pronounced for those with 10 or more pack-years of smoking (HR, 1.84; 95% CI, 1.34-2.53). Similar findings were observed for breast cancer-specific mortality (current smokers vs never smokers: HR, 1.27; 95% CI, 0.87-1.85), although they were not statistically significant. There was no statistically significant association between alcohol consumption and all-cause mortality (>3 drinks per week vs nondrinkers: HR, 1.05; 95% CI, 0.73-1.51) or breast cancer-specific mortality (>3 drinks per week vs nondrinkers: HR, 1.06; 95% CI, 0.67-1.67). Conclusions and Relevance: This population-based cohort study of Black breast cancer survivors suggests that current smoking at the time of diagnosis was associated with an increased risk of all-cause mortality, particularly among women with greater pack-years of smoking.

Knowledge of Human Papillomavirus and Cervical Cancer Among Low-Income Women in New Jersey.

OBJECTIVES: Although much research has been conducted on knowledge and awareness of the connection between human papillomavirus (HPV) and cervical cancer risk among university students, few studies have examined these associations among low-income populations. We examined knowledge of HPV and cervical cancer risk among racially and ethnically diverse low-income women. METHODS: We used a cross-sectional study design to recruit and interview 476 low-income women in New Jersey from November 1, 2013, through February 28, 2016. We used multivariate logistic regression to determine whether knowledge of HPV and its association with cervical cancer risk differed by race and ethnicity. RESULTS: Compared with non-Hispanic White women, Hispanic (odds ratio [OR] = 0.37; 95% CI, 0.18-0.77) and non-Hispanic Black (OR = 0.38; 95% CI, 0.19-0.77) women were significantly less likely to report having heard of HPV. Of women who had ever heard of HPV (n = 323), non-Hispanic Black women were significantly less likely (OR = 0.44; 95% CI, 0.21-0.89) than non-Hispanic White women to report knowing that HPV can be associated with cervical cancer. CONCLUSIONS: Given the higher rates of HPV infection among non-Hispanic Black and Hispanic women, these results suggest a need to improve education about risks of HPV among low-income populations. These messages need to include information on the connection between HPV and cervical cancer and must be provided in culturally and linguistically appropriate ways.

Characterizing Asbestos Hazard Emergency Response Act (AHERA) Compliance in New Jersey: 2008-2017.

CONTEXT: The Asbestos Hazard Emergency Response Act (AHERA) became a law in 1986, and the US Environmental Protection Agency (USEPA) was mandated to promulgate rules to regulate the inspection, management, and abatement of asbestos-containing building materials (ACBM) in schools. This study describes 10 years (2008-2017) of AHERA compliance site inspection data conducted by the New Jersey Department of Health (NJDOH). OBJECTIVES: To establish the level to which inspected NJ schools comply with AHERA regulations, to characterize compliance deficiencies including those that may lead to increased asbestos exposure risk to students and school employees, and to determine whether age, type, and geographic location of school impacted the likelihood of noncompliance. DESIGN: Information collected during 456 unique inspections between 2008 and 2017 was analyzed. SETTING AND PARTICIPANTS: Inspections were conducted at public and private schools in New Jersey. These included elementary, middle, and high schools, as well as charter and vocational/technical schools. MAIN OUTCOME MEASURES: Descriptive statistics and multiple logistic regression modeling of 3 factors, school type, geographical region, and school age. RESULTS: NJDOH inspectors found damage to friable ACBM in 50% (n = 229) of the schools and fiber release episodes in 27% of inspections (n = 121). The case of schools failing to attach warning labels on or immediately adjacent to ACBM was the most frequently noted compliance deficiency over the 10-year period. The modeling output showed that compliance was associated with the type of school and geographical region. CONCLUSIONS: Inspected schools during the 10-year period were in serious noncompliance with AHERA regulations. This included deficiencies that demonstrate a potential exposure to asbestos such as missing ACBM in management plans, damaged ACBM, lack of protection of short-term workers and custodial staff, and the identification of fiber release episodes. Modeling results of specific school characteristics can help direct limited resources to mitigate potential asbestos exposures.

An interpretable semi-supervised framework for patch-based classification of breast cancer.

Developing effective invasive Ductal Carcinoma (IDC) detection methods remains a challenging problem for breast cancer diagnosis. Recently, there has been notable success in utilizing deep neural networks in various application domains; however, it is well-known that deep neural networks require a large amount of labelled training data to achieve high accuracy. Such amounts of manually labelled data are time-consuming and expensive, especially when domain expertise is required. To this end, we present a novel semi-supervised learning framework for IDC detection using small amounts of labelled training examples to take advantage of cheap available unlabeled data. To gain trust in the prediction of the framework, we explain the prediction globally. Our proposed framework consists of five main stages: data augmentation, feature selection, dividing co-training data labelling, deep neural network modelling, and the interpretability of neural network prediction. The data cohort used in this study contains digitized BCa histopathology slides from 162 women with IDC at the Hospital of the University of Pennsylvania and the Cancer Institute of New Jersey. To evaluate the effectiveness of the deep neural network model used by the proposed approach, we compare it to different state-of-the-art network architectures; AlexNet and a shallow VGG network trained only on the labelled data. The results show that the deep neural network used in our proposed approach outperforms the state-of-the-art techniques achieving balanced accuracy of 0.73 and F-measure of 0.843. In addition, we compare the performance of the proposed semi-supervised approach to state-of-the-art semi-supervised DCGAN technique and self-learning technique. The experimental evaluation shows that our framework outperforms both semi-supervised techniques and detects IDC with an accuracy of 85.75%, a balanced accuracy of 0.865, and an F-measure of 0.773 using only 10% labelled instances from the training dataset while the rest of the training dataset is treated as unlabeled.