Characteristics of Patients Undergoing Bariatric Surgery in an Inner-City Minority Population: A Pre and Postoperative Comparison Between Patients With and Without Obstructive Sleep Apnea.

Background Obese patients are at an increased risk of obstructive sleep apnea (OSA). Bariatric surgery or weight loss surgery is an important therapeutic measure in obese patients for the management of weight and comorbidities. Data are scarce in inner-city Hispanic and Black patients who undergo bariatric surgery, which eventually leads to health disparity in this minority population. Differences between patients with and without OSA have not been assessed in this population. This study aims to answer these questions. Methodology The study was conducted in a high-volume hospital in the Bronx, New York. Before bariatric surgery, patients underwent a preoperative evaluation that included a variety of blood tests, a sleep study, esophagogastroduodenoscopy, and echocardiography. They also underwent basic anthropometric measurements, such as weight, height, and body mass index (BMI), before surgery and 6 months and 12 months postoperatively. Additional calculations were made using these anthropometric measures, namely, total weight loss, excess weight loss, and delta BMI. Results Most patients were Hispanic (85.2%), with a mean age of 41.9 ± 10.8 years. We found that of the 108 patients included in the study, 69.4% (70/108) had OSA. Preoperative BMI in the study was 43.9 ± 13 kg/m2. Postoperatively, the mean decrease in BMI was 12.3 ± 14.5 kg/m2. Total weight loss and excess weight loss were 30.2 ± 14.3 and 52.6 ± 16.6, respectively. Conclusions In this study, no significant difference was noted in patients with or without OSA in either the laboratory or anthropometric parameters.

Scale-Up of COVID-19 Testing Services in NYC, 2020-2021: Lessons Learned to Maximize Reach, Equity and Timeliness.

During infectious disease epidemics, accurate diagnostic testing is key to rapidly identify and treat cases, and mitigate transmission. When a novel pathogen is involved, building testing capacity and scaling testing services at the local level can present major challenges to healthcare systems, public health agencies, and laboratories. This mixed methods study examined lessons learned from the scale-up of SARS-CoV-2 testing services in New York City (NYC), as a core part of NYC's Test & Trace program. Using quantitative and geospatial analyses, the authors assessed program success at maximizing reach, equity, and timeliness of SARS-CoV-2 diagnostic testing services across NYC neighborhoods. Qualitative analysis of key informant interviews elucidated key decisions, facilitators, and barriers involved in the scale-up of SARS-CoV-2 testing services. A major early facilitator was the ability to establish working relationships with private sector vendors and contractors to rapidly procure and manufacture necessary supplies locally. NYC residents were, on average, less than 25 min away from free SARS-CoV-2 diagnostic testing services by public transport, and services were successfully directed to most neighborhoods with the highest transmission rates, with only one notable exception. A key feature was to direct mobile testing vans and rapid antigen testing services to areas based on real-time neighborhood transmission data. Municipal leaders should prioritize fortifying supply chains, establish cross-sectoral partnerships to support and extend testing services, plan for continuous testing and validation of assays, ensure open communication feedback loops with CBO partners, and maintain infrastructure to support mobile services during infectious disease emergencies.

A multisector community-engaged collaborative for mental health integration in primary care and housing developments: Protocol for a stepped-wedge randomized controlled trial (the Harlem Strong Program).

BACKGROUND: Addressing mental health disparities following COVID-19 requires adaptive, multi-sectoral, equity-focused, and community-based approaches. Mental health task-sharing in gateway settings has been found to address mental health care gaps in low- and middle-income countries, but is not a common practice in the U.S., especially in non-medical settings, such as low-income housing developments (LIH). This research study will evaluate the effectiveness of a multisectoral community-engaged collaborative for task-sharing mental health care on consumer, provider, and implementation outcomes, as well as identify barriers and facilitators for implementation. METHODS: In this stepped-wedge randomized controlled trial with technology supplementation, LIH and primary care sites will be randomly assigned to one of five sequences of three implementation strategies: (1) Education and Resources (E&R), which involves online training and resources on basic mental health task-sharing skills, (2) Multisectoral Community Collaborative Care (MCC), which consists of all E&R resources plus additional community responsive implementation supports and participation in a multisectoral coalition and (3) MCC + Technology, which combines the MCC condition resources with a community crowdsourced technology solution to support implementation. The primary outcome is the effectiveness in meeting consumers' needs through direct service (e.g., adequately addressing depression and anxiety symptoms), and through implementation to increase access to mental health care (reach). The secondary outcome examines additional consumer outcomes including health functioning and social risks, as well as implementation outcomes including provider skills, program adoption, and factors related to barriers and facilitators of quality implementation. A total of 700 consumers receiving mental health care at 20 sites will be surveyed at baseline, 6-, and 12-month follow-ups. Additionally, 100 providers will be evaluated at baseline, 6-, 12-, and 24-month follow-ups before training and after randomization. DISCUSSION: We hypothesize that MCC and MCC + Technology conditions will demonstrate significantly higher efficacy in changing primary outcomes compared to E&R, and the MCC + Technology supplement will show significantly higher levels of reach of mental health tasks compared to the MCC condition alone. These findings will demonstrate the feasibility of mental health integration into accessible, non-medical community settings such as LIH. Moreover, it will help establish a multilevel system solution based on community engagement and planning with a multisectoral collaboration that can be sustained community-wide. TRIAL REGISTRATION: NCT05833555 on Clinicaltrials.gov. Registered April 26, 2023.

Supporting organizations to improve migrants' access to health services in New York City.

Purpose: To survey community-based migrant-serving organizations (MSOs) in New York City (NYC) regarding their early experiences during the COVID-19 pandemic and perspectives on academic collaborations. Methods: We developed and emailed a survey via Qualtrics (12/2020-1/2021) to 122 MSOs in NYC collecting data about the organizations; challenges posed by COVID-19; and interest in potential intersectoral collaboration. Descriptive analysis focused on the pandemic's impact on service provision, type of MSO, and organizational capacity. Results: Thirty-eight MSOs participated (RR=31%). COVID-19-related challenges included limited staff capacity, organizational funding, and technological and resource limitations of communities served. Organizational capacity correlated with types of services offered: smaller organizations offered health and social services, while larger organizations focused on education and employment. MSOs indicated interest in collaboration on migrant policy advocacy and communications, access to interns, and resources regarding best practices and policies. Conclusions: MSOs in NYC have struggled with funding, staffing, and service provision. They specified fruitful areas for collaboration with academic research institutions. Implications: Development of an academic-based migrant health resource hub will serve an identified need among MSOs in NYC.

NPCC4: Climate risk and equity-advancing knowledge toward a sustainable future | Conclusions.

This chapter provides an overview of the major themes, findings, and recommendations from NPCC4. It presents summary statements from each chapter of the assessment which identify salient and pressing issues raised and provides recommendations for future research and for enhancement of climate resiliency. The chapter also outlines a set of broader recommendations for future NPCC work and identifies some key topics for the next assessment.

High-income ZIP codes in New York City demonstrate higher case rates during off-peak COVID-19 waves.

Introduction: Our study explores how New York City (NYC) communities of various socioeconomic strata were uniquely impacted by the COVID-19 pandemic. Methods: New York City ZIP codes were stratified into three bins by median income: high-income, middle-income, and low-income. Case, hospitalization, and death rates obtained from NYCHealth were compared for the period between March 2020 and April 2022. Results: COVID-19 transmission rates among high-income populations during off-peak waves were higher than transmission rates among low-income populations. Hospitalization rates among low-income populations were higher during off-peak waves despite a lower transmission rate. Death rates during both off-peak and peak waves were higher for low-income ZIP codes. Discussion: This study presents evidence that while high-income areas had higher transmission rates during off-peak periods, low-income areas suffered greater adverse outcomes in terms of hospitalization and death rates. The importance of this study is that it focuses on the social inequalities that were amplified by the pandemic.

Correlates of HIV Testing Among Asian Immigrant Female Sex Workers in New York City and Los Angeles County.

This analysis examined correlates of HIV testing among Asian immigrant female sex workers in massage parlors. We interviewed 69 Chinese and Korean immigrant women who provided sexual services in massage parlors in New York City or Los Angeles County (2014-2016). Multivariable logistic regression results showed that participants who were younger, have lived in the U.S. for a longer period of time, had greater English proficiency, perceived higher HIV risk, or were living with an intimate partner were more likely to have had an HIV test. Disclosing sex work to a close friend was also positively associated with HIV testing at p < .1. These correlates may reflect differential access to information, systems, and social networks that would facilitate HIV testing, highlighting the importance of reducing social isolation and increasing HIV education, especially for older women who have come to the U.S. more recently. As the literature has indicated that Asian immigrant female sex workers experience high rates of intersectional stigma, efforts to mitigate these intersecting stigmas could further these objectives.

NPCC4: New York City climate risk information 2022-observations and projections.

New York City (NYC) faces many challenges in the coming decades due to climate change and its interactions with social vulnerabilities and uneven urban development patterns and processes. This New York City Panel on Climate Change (NPCC) report contributes to the Panel's mandate to advise the city on climate change and provide timely climate risk information that can inform flexible and equitable adaptation pathways that enhance resilience to climate change. This report presents up-to-date scientific information as well as updated sea level rise projections of record. We also present a new methodology related to climate extremes and describe new methods for developing the next generation of climate projections for the New York metropolitan region. Future work by the Panel should compare the temperature and precipitation projections presented in this report with a subset of models to determine the potential impact and relevance of the "hot model" problem. NPCC4 expects to establish new projections-of-record for precipitation and temperature in 2024 based on this comparison and additional analysis. Nevertheless, the temperature and precipitation projections presented in this report may be useful for NYC stakeholders in the interim as they rely on the newest generation of global climate models.

NPCC4: Climate risk and equity-advancing knowledge toward a sustainable future | Introduction.

This Introduction to NPCC4 provides an overview of the first three NPCC Reports and contextualizes NPCC4's deliberate decision to address justice, equity, diversity, and inclusion in its collective work and in its own practices, procedures, and methods of assessment. Next, it summarizes the assessment process, including greater emphasis on sustained assessment. Finally, it introduces the NPCC4 chapters and their scope.

Concentrations of Volatile Methyl Siloxanes in New York City Reflect Emissions from Personal Care and Industrial Use.

Volatile methyl siloxanes (VMS) are a group of organosilicon compounds of interest because of their potential health effects, their ability to form secondary organic aerosols, and their use as tracer compounds. VMS are emitted in the gas-phase from using consumer and personal care products, including deodorants, lotions, and hair conditioners. Because of this emission route, airborne concentrations are expected to increase with population density, although there are few studies in large urban centers. Here, we report summertime concentrations and daily variations of VMS congeners measured in New York City. Median concentrations of the 6 studied congeners, D3 (20 ng m-3), D4 (57 ng m-3), D5 (230 ng m-3), D6 (11 ng m-3), L5 (2.5 ng m-3), and L7 (1.3 ng m-3) are among the highest reported outdoor concentrations in the literature to date. Average congener ratios of D5:D4 and D5:D6 were consistent with previously reported emissions ratios, suggesting that concentrations were dominated by local emissions. Measured concentrations agree with previously published results from a Community Multiscale Air Quality model and support commonly accepted emissions rates for D4, D5, and D6 of 32.8, 135, and 6.1 mg per capita per day. Concentrations of D4, D5, D6, L5, and L7 and total VMS were significantly lower during the day than during the night, consistent with daytime oxidation reactivity. Concentrations of D3 did not show the same diurnal trend but exhibited a strong directional dependence, suggesting that it may be emitted by industrial point sources in the area rather than personal care product use. Concentrations of all congeners had large temporal variations but showed relatively weak relationships with wind speed, temperature, and mixing height.

Underestimation of Thermogenic Methane Emissions in New York City.

Recent studies have shown that methane emissions are underestimated by inventories in many US urban areas. This has important implications for climate change mitigation policy at the city, state, and national levels. Uncertainty in both the spatial distribution and sectoral allocation of urban emissions can limit the ability of policy makers to develop appropriately focused emission reduction strategies. Top-down emission estimates based on atmospheric greenhouse gas measurements can help to improve inventories and inform policy decisions. This study presents a new high-resolution (0.02 × 0.02°) methane emission inventory for New York City and its surrounding area, constructed using the latest activity data, emission factors, and spatial proxies. The new high-resolution inventory estimates of methane emissions for the New York-Newark urban area are 1.3 times larger than those for the gridded Environmental Protection Agency inventory. We used aircraft mole fraction measurements from nine research flights to optimize the high-resolution inventory emissions within a Bayesian inversion. These sectorally optimized emissions show that the high-resolution inventory still significantly underestimates methane emissions within the New York-Newark urban area, primarily because it underestimates emissions from thermogenic sources (by a factor of 2.3). This suggests that there remains a gap in our process-based understanding of urban methane emissions.

Patterns and Factors Associated With Alcohol Misuse Among Young Black Men Who Have Sex With Men in New York City.

Alcohol misuse is a significant health concern among gay, bisexual, same-gender-loving, and other men who have sex with men (MSM). Yet, little is known about the severity and predictors of alcohol misuse among self-reported young Black MSM. This study aimed to identify patterns of and factors associated with alcohol misuse in a sample of young Black MSM living in New York City. Baseline data from a randomized controlled trial aimed at improving the uptake of HIV testing among 250 MSM aged 18 to 29 were analyzed. Log-binominal regression analyses were conducted to assess the association of demographic and psychosocial factors with alcohol misuse in the past year and past 3 months among young Black MSM. Overall, 33.2% and 28.0% of young Black MSM in the study experienced alcohol misuse in the past year and past 3 months, respectively. In the adjusted model, factors positively associated with past-year alcohol misuse included marijuana use, a history of drug use, and having one-two or more than two male sex partners. Likewise, participants who used marijuana and those with one-two or more than two male partners were more likely to report past 3-month alcohol misuse. No significant association was found between positive screening for depressive symptoms, chemsex, internalized homophobia, and the likelihood of having alcohol misuse. The high prevalence of alcohol misuse underscores the importance of raising awareness of alcohol misuse and designing alcohol risk reduction programs that jointly address HIV risk among young Black MSM.

Trends in police complaints and arrests on New York City subways, 2018 to 2023: an interrupted time-series analysis.

BACKGROUND: Public transportation use is influenced by perceptions of safety. Concerns related to crime on New York City (NYC) transit have risen following NYC's COVID-19 pandemic state of emergency declaration in 2020, leading to declines in subway ridership. In response, the most recent mayoral administration implemented a Subway Safety Plan in 2022. This study aimed to quantify the effects of the COVID-19 pandemic and the Subway Safety Plan on rates of complaints to and arrests by the New York City Police Department (NYPD) Transit Bureau. METHODS: Using publicly available data on complaints and arrests, we conducted interrupted time-series analyses using autoregressive integrated moving average models applied to monthly data for the period from September 2018 to August 2023. We estimated changes in the rates of complaints to and arrests by the NYPD Transit Bureau before and after: (1) the COVID-19 pandemic state of emergency declaration (i.e., March 2020), and (2) the announcement of the Subway Safety Plan (i.e., February 2022). We also examined trends by complaint and arrest type as well as changes in proportion of arrests by demographic and geographic groups. RESULTS: After the COVID-19 pandemic declaration, there was an 84% increase (i.e., an absolute increase of 6.07 per 1,000,000 riders, CI 1.42, 10.71) in complaints to the NYPD Transit Bureau, including a 99% increase (0.91 per 1,000,000 riders, CI 0.42, 1.41) in complaints for assault and a 125% increase in complaints for harassment (0.94 per 1,000,000 riders, CI 0.29, 1.60). Following the Subway Safety Plan there was an increase in the rate of arrests for harassment (0.004 per 1,000,000 riders, CI 0.001, 0.007), as well as decreases in the proportion of arrests for individuals racialized as White (- 0.02, CI - 0.04, - 0.01) and proportion of arrests in the borough of Manhattan (- 0.13, CI - 0.17, - 0.09). CONCLUSIONS: The increased rates of complaints to the NYPD Transit Bureau following the onset of the COVID-19 pandemic remained elevated following the enactment of the Subway Safety Plan. Further evaluation efforts can help identify effective means of promoting safety on public transportation.

Impact of Neighborhood Social Cohesion and Rodent Sightings on Mental Health among Residents of New York City During the COVID-19 Pandemic.

Common mental disorders such as depression and anxiety are prevalent globally, and rates are especially high in New York City (NYC) since the COVID-19 pandemic. Neighborhood social and physical environments have been found to influence mental health. We investigated the impact of neighborhood social cohesion and neighborhood rodent sightings (as an indicator of neighborhood cleanliness) on nonspecific serious psychological distress (NSPD) status using 2020 NYC Community Health Survey data from 8781 NYC residents. Multivariable logistic regression was used to evaluate the relationships among social cohesion, rodent sightings, and NSPD adjusted for confounders and complex sampling and weighted to the NYC population. Effect measure modification of rodent sightings on the effect of social cohesion on NSPD was evaluated on the multiplicative scale by adding the interaction term to the multivariable model and, if significant, stratifying on the effect modifier, and on the additive scale using the relative excess risk due to interaction (RERI). Social cohesion was found to decrease the odds of NSPD, and rodent sightings were found to increase the odds of NSPD. We found significant evidence of effect measure modification on the multiplicative scale. In the stratified models, there was a protective effect of social cohesion against NSPD among those not reporting rodent sightings, but no effect among those reporting rodent sightings. Our findings suggest that both neighborhood social cohesion and rodent sightings impact the mental health of New Yorkers and that rodent infestations may diminish the benefit of neighborhood social cohesion.

Assessing New York City's COVID-19 Vaccine Rollout Strategy: A Case for Risk-Informed Distribution.

This study reviews the impact of eligibility policies in the early rollout of the COVID-19 vaccine on coverage and probable outcomes, with a focus on New York City. We conducted a retrospective ecological study assessing age 65+, area-level income, vaccination coverage, and COVID-19 mortality rates, using linked Census Bureau data and New York City Health administrative data aggregated at the level of modified zip code tabulation areas (MODZCTA). The population for this study was all individuals in 177 MODZCTA in New York City. Population data were obtained from Census Bureau and New York City Health administrative data. The total mortality rate was examined through an ordinary least squares (OLS) regression model, using area-level wealth, the proportion of the population aged 65 and above, and the vaccination rate among this age group as predictors. Low-income areas with high proportions of older people demonstrated lower coverage rates (mean vaccination rate 52.8%; maximum coverage 67.9%) than wealthier areas (mean vaccination rate 74.6%; maximum coverage 99% in the wealthiest quintile) in the first 3 months of vaccine rollout and higher mortality over the year. Despite vaccine shortages, many younger people accessed vaccines ahead of schedule, particularly in high-income areas (mean coverage rate 60% among those 45-64 years in the wealthiest quintile). A vaccine program that prioritized those at greatest risk of COVID-19-associated morbidity and mortality would have prevented more deaths than the strategy that was implemented. When rolling out a new vaccine, policymakers must account for local contexts and conditions of high-risk population groups. If New York had focused limited vaccine supply on low-income areas with high proportions of residents 65 or older, overall mortality might have been lower.

Immediate Injury Deaths Related to the Remnants From Hurricane Ida in New York City, September 1-2, 2021.

The remnants from Hurricane Ida in September 2021 caused unprecedented rainfall and inland flooding in New York City (NYC) and resulted in many immediate deaths. We reviewed death records (electronic death certificates and medical examiner reports) to systematically document the circumstances of death and demographics of decedents to inform injury prevention and climate adaptation actions for future extreme precipitation events. There were 14 Ida-related injury deaths in NYC, of which 13 (93%) were directly caused by Ida, and 1 (7%) was indirectly related. Most decedents were Asian (71%) and foreign-born (71%). The most common circumstance of death was drowning in unregulated basement apartments (71%). Themes that emerged from the death records review included the suddenness of flooding, inadequate exits, nighttime risks, and multiple household members were sometimes affected. These deaths reflect interacting housing and climate crises, and their disproportionate impact on disadvantaged populations needing safe and affordable housing. Climate adaptation actions, such as improving stormwater management infrastructure, informing residents about flood risk, implementing Federal Emergency Management Agency recommendations to make basements safer, and expanding emergency notification measures can mitigate risk. As climate change increases extreme precipitation events, multi-layered efforts are needed to keep residents safe.

Development of a community severance index for urban areas in the United States: A case study in New York City.

BACKGROUND AND AIMS: Traffic-related exposures, such as air pollution and noise, have a detrimental impact on human health, especially in urban areas. However, there remains a critical research and knowledge gap in understanding the impact of community severance, a measure of the physical separation imposed by road infrastructure and motorized road traffic, limiting access to goods, services, or social connections, breaking down the social fabric and potentially also adversely impacting health. We aimed to robustly quantify a community severance metric in urban settings exemplified by its characterization in New York City (NYC). METHODS: We used geospatial location data and dimensionality reduction techniques to capture NYC community severance variation. We employed principal component pursuit, a pattern recognition algorithm, combined with factor analysis as a novel method to estimate the Community Severance Index. We used public data for the year 2019 at census block group (CBG) level on road infrastructure, road traffic activity, and pedestrian infrastructure. As a demonstrative application of the Community Severance Index, we investigated the association between community severance and traffic collisions, as a proxy for road safety, in 2019 in NYC at CBG level. RESULTS: Our data revealed one multidimensional factor related to community severance explaining 74% of the data variation. In adjusted analyses, traffic collisions in general, and specifically those involving pedestrians or cyclists, were nonlinearly associated with an increasing level of Community Severance Index in NYC. CONCLUSION: We developed a high spatial-resolution Community Severance Index for NYC using data available nationwide, making it feasible for replication in other cities across the United States. Our findings suggest that increases in the Community Severance Index across CBG may be linked to increases in traffic collisions in NYC. The Community Severance Index, which provides a novel traffic-related exposure, may be used to inform equitable urban policies that mitigate health risks and enhance well-being.

Impact of the Coronavirus Disease 2019 Pandemic on Utilization of Emergency Medical Services in New York City.

Background: This study evaluates trends in the utilization of emergency medical services (EMS) in New York City, the "epicenter" of the first "wave" of the coronavirus pandemic. We hypothesize that EMS call volumes decreased overall in New York City during the first year of the pandemic, specifically with respect to trauma/injury calls. Contrarily, we posit that calls for "sick" events increased given pervasive fear of virus transmission. Materials and Methods: Retrospective New York City EMS calls data (January 1, 2019 to December 31, 2020) were obtained from the NYC Open Data/EMS Incident Dispatch database. Total EMS calls, trauma/injury calls, and "sick" event calls were collected for New York City and for all five boroughs. Census data for each borough were used to weigh daily EMS calls per 100,000 individuals. Mann-Whitney U tests were used to compare pre-pandemic (2019 to March 2020) versus pandemic (April 2020 to December 2020) EMS call volumes, p = 0.05. Results: Median daily EMS calls per 100,000 individuals decreased 21.6% at the start of the pandemic across New York City (pre-pandemic, 3,262 calls; pandemic, 2,556 calls; p < 0.001) and similarly decreased when stratified by borough (all, p < 0.001). Median daily trauma/injury and sick event calls per 100,000 also decreased in New York City and the five boroughs from pre-pandemic to pandemic time periods (all, p < 0.001). Discussion and Conclusions: These data reflect an unprecedented window into EMS utilization during an infectious disease pandemic. As decreased EMS utilization for multiple conditions likely reflects delayed or impeded access to care, utilization data have important implications for provision of acute care services during possible future disruptions related to the pandemic.

Heterogeneity of provider preferences for HIV Care Coordination Program features: latent class analysis of a discrete choice experiment.

The PROMISE study assessed revisions designed to facilitate implementation of an HIV care coordination program (CCP) addressing gaps in care and treatment engagement among people living with HIV in New York City (NYC). Through latent class analysis (LCA) of a discrete choice experiment (DCE), we explored heterogeneity of provider preferences regarding CCP features. From January-March 2020, 152 NYC CCP providers completed a DCE with 3-4 levels on each of 4 program attributes: 1) Help with Adherence to Antiretroviral Therapy (ART), 2) Help with Primary Care Appointments, 3) Help with Issues Other than Primary Care, and 4) Where Program Visits Happen. We used LCA to assess patterns of preference, and choice simulation to estimate providers' endorsement of hypothetical CCPs. LCA identified three subgroups. The two larger subgroups (n = 133) endorsed more intensive individual program features, including directly observed therapy, home visits, and appointment reminders with accompaniment of clients to their appointments. The smallest subgroup (n = 19) endorsed medication reminders only, appointment reminders without accompaniment, and meeting at the program location rather than clients' homes. Choice simulation analysis affirmed the highest degree of endorsement (62%) for hypothetical programs combining the intensive features described above. Results indicated providers' preference for intensive program features and also reinforced the need for flexible service delivery options. Provider perspectives on service delivery approaches can inform program adjustments for successful long-term implementation, which in turn can improve patient outcomes.