Faculty Bibliography

OBJECTIVE/UNASSIGNED:HbA1c is an insensitive marker for assessing real-time dysglycemia in obesity. This study investigated whether 1-h plasma glucose level (1-h PG) ≥155 mg/dL (8.6 mmol/L) during an oral glucose tolerance test (OGTT) and continuous glucose monitoring (CGM) measurement of glucose variability (GV) better reflected dysglycemia than HbA1c after weight loss from metabolic and bariatric surgery. METHODS/UNASSIGNED:This was a prospective cohort study of 10 participants with type 2 diabetes compared with 11 participants with non-diabetes undergoing sleeve gastrectomy (SG). At each research visit; before SG, and 6 weeks and 6 months post-SG, body weight, fasting lipid levels, and PG and insulin concentrations during an OGTT were analyzed. Mean amplitude of glycemic excursions (MAGE), a CGM-derived GV index, was analyzed. RESULTS/UNASSIGNED:-cell function, remained reduced in the diabetes group when compared to the non-diabetes group. CONCLUSIONS/UNASSIGNED:-cell dysfunction and the potential residual risk of diabetes complications.

OBJECTIVES/OBJECTIVE:To identify and explore barriers to, and enablers of, active surveillance (AS) in men with low-risk prostate cancer (LRPCa), as perceived by PCa clinicians. PATIENTS AND METHODS/METHODS:Urologists and radiation oncologists in Australia and New Zealand were purposively sampled for a cross-section on gender and practice setting (metropolitan/regional; public/private). Using a grounded theory approach, semi-structed interviews were conducted with participants. Interviews were coded independently by two researchers using open, axial, and selective coding. A constant comparative approach was used to analyse data as it was collected. Thematic saturation was reached after 18 interviews, and a detailed model of barriers to, and enablers of, AS for LRPCa, as perceived by clinicians was developed. RESULTS:A model explaining what affects clinician decision making regarding AS in LRPCa emerged. It was underpinned by three broad themes: (i) clinician perception of patients' barriers and enablers; (ii) clinician perception of their own barriers and enablers; and (iii) engagement with healthcare team and resource availability. CONCLUSIONS:Clinicians unanimously agree that AS is an evidence-based approach for managing LRPCa. Despite this many men do not undergo AS for LRPCa, which is due to the interplay of patient and clinician factors, and their interaction with the wider healthcare system. This study identifies strategies to mitigate barriers and enhance enablers, which could increase access to AS by patients with LRPCa.

On a single night in 2023, more than 653,000 people experienced homelessness in the United States. In this overview, we highlight structural and individual risk factors that can lead to homelessness, explore evidence on the relationship between homelessness and health, discuss programmatic and policy innovations, and provide policy recommendations. Health system efforts to address homelessness and improve the health of homeless populations have included interventions such as screening for social needs and medical respite programs. Initiatives using the Housing First approach to permanent supportive housing have a strong track record of success. Health care financing innovations using Medicaid Section 1115 waivers offer promising new approaches to improving health and housing for people experiencing homelessness. To substantially reduce homelessness and its many adverse health impacts, changes are needed to increase the supply of affordable housing for households with very low incomes. Health care providers and systems should leverage their political power to advocate for policies that scale durable, evidence-based solutions to reduce homelessness, including increased funding to expand housing choice vouchers and greater investment in the creation and preservation of affordable housing.

Rapidly advancing evidence documents that a broad array of synthetic chemicals found ubiquitously in the environment contribute to disease and disability across the lifespan. Although the early literature focused on early life exposures, endocrine-disrupting chemicals (EDCs) are now understood to contribute substantially to chronic disease in adulthood, especially metabolic, cardiovascular, and reproductive consequences as well as endocrine cancers. The contribution to mortality is substantial, with over 90,000 deaths annually and at least $39 billion/year in lost economic productivity in the United States (US) due to exposure to certain phthalates that are used as plasticizers in food packaging. Importantly, exposures are disproportionately high in low-income and minoritized populations, driving disparities in these conditions. Though non-Hispanic Blacks and Mexican Americans comprise 12.6% and 13.5% of the US population, they bear 16.5% and 14.6% of the disease burden due to EDCs, respectively. Many of these exposures can be modified through safe and simple behavioral changes supported by proactive government action to both limit known hazardous exposures and to proactively screen new industrial chemicals prior to their use. Routine healthcare maintenance should include guidance to reduce EDC exposures, and a recent report by the Institute of Medicine suggests that testing be conducted, particularly in populations heavily exposed to perfluoroalkyl substances-chemicals used in nonstick coatings as well as oil- and water-resistant clothing.

OBJECTIVE:This study aimed to identify risk factors for relapse (psychiatric emergency department visits or hospitalization) and lack of follow-up with outpatient psychiatric care in the 12 months after ending services in an urban safety net coordinated specialty care (CSC) program for first episode psychosis (FEP). METHODS:The study population (n = 143) were individuals with FEP who had any CSC care between 2014 and 2021. To identify risk factors for relapse and follow up after exit, multivariable logistic regression was performed using data from electronic health records and linked insurance claims data. RESULTS:Individuals with any emergency department visit or hospitalization 12 months prior to ending CSC (aOR = 4.69, 95 % CI 1.78-12.34) and those who were using cannabis at last CSC contact (aOR = 4.06, 95 % CI 1.56-10.56) had a higher risk of relapse after ending CSC services. Cannabis use at last contact was also associated with lower rates of outpatient psychiatric follow-up (aOR = 0.32, 95 % CI 0.12-0.94), while CSC duration in months had a small positive association with post-CSC psychiatric follow-up. There were no differences in relapse or follow-up by race or ethnicity, primary diagnosis, or medication usage. CONCLUSIONS:Prior relapse during CSC predicted relapse in the 12 months after ending CSC services, but not outpatient follow up. Cannabis use predicted both a higher rate of relapse and a lower rate of follow up after ending services. There were no differences by race or ethnicity in our sample, suggesting that once individuals engaged in FEP care there were no evident disparities in the observed outcomes.

BACKGROUND:The relationship between perceived social support and continuous positive airway pressure remains understudied among individuals with obstructive sleep apnea. The aim of this prospective cohort study was to determine if baseline perceived social support and subtypes predict regular continuous positive airway pressure use after 1month of therapy. METHODS:Adults with obstructive sleep apnea initiating continuous positive airway pressure therapy were recruited from sleep clinics in New York City. Demographics, medical history, and comorbidities were obtained from patient interview and review of medical records. Objective continuous positive airway pressure adherence data was collected at the first clinical follow-up. RESULTS:Seventy-five participants (32% female; non-Hispanic Black 41%; mean age of 56 ± 14years) provided data. In adjusted analyses, poorer levels of overall social support, and subtypes including informational/emotional support, and positive social interactions were associated with lower continuous positive airway pressure use at 1month. Relative to patients reporting higher levels of support, participants endorsing lower levels of overall social support, positive social interaction and emotional/informational support had 1.6 hours (95% CI: 0.5,2.7, hours; p = .007), 1.3 hours (95% CI: 0.2,2.4; p = .026), and 1.2 hours (95% CI: 0.05,2.4; p = .041) lower mean daily continuous positive airway pressure use at 1month, respectively. CONCLUSION/CONCLUSIONS:Focusing on social support overall and positive social interaction particularly, could be an effective approach to improve continuous positive airway pressure adherence in patients at risk of suboptimal adherence.

BACKGROUND:This study aimed to identify contextual factors associated with life satisfaction during the COVID-19 pandemic for adolescents with mental, emotional, behavioral, and developmental (MEBD) disabilities. METHODS:Data were collected from a sample of 1084 adolescents aged 11-21 years from April 2020 to August 2021. This cross-sectional study used a sequential machine learning workflow, consisting of random forest regression and evolutionary tree regression, to identify subgroups of adolescents in the Environmental influences on Child Health Outcomes (ECHO) consortium who demonstrated enhanced vulnerability to lower life satisfaction as described by intersecting risk factors, protective factors, and MEBD disabilities. RESULTS:Adolescents with a history of depression, anxiety, autism, and attention-deficit/hyperactivity disorder were particularly susceptible to decreased life satisfaction in response to unique combinations of stressors experienced during the COVID-19 pandemic. These stressors included decreased social connectedness, decreased family engagement, stress related to medical care access, pandemic-related traumatic stress, and single-caregiver households. CONCLUSION/CONCLUSIONS:Findings from this study highlight the importance of interventions aimed specifically at increasing adolescent social connectedness, family engagement, and access to medical support for adolescents with MEBD disabilities, particularly in the face of stressors, such as a global pandemic. IMPACT/CONCLUSIONS:Through a machine learning process, we identified contextualized risks associated with life satisfaction among adolescents with neurodevelopmental disabilities during the COVID-19 pandemic. The COVID-19 pandemic resulted in large-scale social disruptions for children and families. Such disruptions were associated with worse mental health outcomes in the general pediatric population, but few studies have examined specific subgroups who may be at heightened risk. We endeavored to close that gap in knowledge. This study highlights the importance of social connectedness, family engagement, and access to medical support as contributing factors to life satisfaction during the COVID-19 pandemic for adolescents with neurodevelopmental disabilities.

Improving housing quality may improve residents' health, but identifying buildings in poor repair is challenging. We developed a method to improve health-related building inspection targeting. Linking New York City Medicaid claims data to Landlord Watchlist data, we used machine learning to identify housing-sensitive health conditions correlated with a building's presence on the Watchlist. We identified twenty-three specific housing-sensitive health conditions in five broad categories consistent with the existing literature on housing and health. We used these results to generate a housing health index from building-level claims data that can be used to rank buildings by the likelihood that their poor quality is affecting residents' health. We found that buildings in the highest decile of the housing health index (controlling for building size, community district, and subsidization status) scored worse across a variety of housing quality indicators, validating our approach. We discuss how the housing health index could be used by local governments to target building inspections with a focus on improving health.