What does it take for healthy food retail programmes to be successful? Lessons learned in New York City.

OBJECTIVE: Healthy food retail programmes (HFRP) in the USA generally aim to increase healthy foods access to improve diet quality and health, yet the impact is mixed. These programmes primarily target adults, even though adolescents frequently and independently visit stores to purchase snacks. This study's aims are to explore successes and challenges of implementing HFRP (Aim 1) and examine how HFRP can be tailored to adolescents (Aim 2). DESIGN: One-time, virtual, semi-structured interviews with individuals who were involved in a HFRP, followed by a socio-demographic characteristics survey. Interviews were designed based on the RE-AIM framework and the Hexagon Tool and analysed using Braun and Clark's (2006) thematic analysis approach. Descriptive statistics were used to summarise participants' socio-demographic characteristics. SETTING: New York City (NYC). PARTICIPANTS: Adults (18 years or older) who have designed, implemented and/or evaluated an HFRP in NYC and speak/understand English (n 21). RESULTS: Aim 1: For successes, strategies to build relationships with the community were most discussed. Regarding challenges, securing reliable funding was the hardest to overcome. Suggested solutions included designing profitable HFRP, targeting shortcomings in food distribution systems and increasing consumer demand. Aim 2: Most participants had not considered adolescents in previous HFRP but suggested involving youth in developing HFRP to encourage youth-driven solutions and promote youth advocacy. CONCLUSIONS: Future HFRP should focus on activities that help store owners purchase affordable healthy foods from distributors, which translates to affordability for customers. Federal and local policies can assist by funding complementary programmes. Additionally, adolescents should be considered in these efforts.

Research protocol for bridging research, accurate information and dialogue (BRAID)-clinical trials: a mixed-methods study of a community-based intervention to improve trust and diversify participation in clinical trials.

Cultural beliefs, personal experiences, and historic abuses within the healthcare system-rooted in structural racism-all contribute to community distrust in science and medicine. This lack of trust, particularly within underserved communities, contributes to decreased participation in clinical trials and a lack of representation in the data. Open dialogue about community concerns and experiences related to research participation and medical care processes can help build trust and change attitudes and behaviors that affect community health. This protocol outlines an approach to increase trust in science and clinical trials among communities in the Bronx, New York that are typically underrepresented in research data. Bridging Research, Accurate Information and Dialogue (BRAID) is a two-phased, evidence-based community engagement model that creates safe spaces for bilateral dialogues between trusted community messengers, and clinicians and scientists. The team will conduct a series of BRAID Conversation Circles on the topic of clinical trials with local trusted community messengers. Participants will be members of the community who are perceived as "trusted messengers" and can represent the community's voice because they have insight into "what matters" locally. Conversation Circles will be audiotaped, transcribed, and analyzed to identify emergent challenges and opportunities surrounding clinical trial participation. These key themes will subsequently inform the codesign and co-creation of tailored messages and outreach efforts that community participants can disseminate downstream to their social networks. Surveys will be administered to all participants before and after each Conversation Circle to understand participants experience and evaluate changes in knowledge and attitudes about clinical trials, including protections for research participants the advantages of having diverse representation. Changes in motivation and readiness to share accurate clinical trial information downstream will also be assessed. Lastly, we will measure participants dissemination of codesigned science messages through their social networks by tracking participant specific resource URLs of materials and videos posted on a BRAID website. This protocol will assess the effectiveness and adoptability of an innovative CBPR model that can be applied to a wide range of public health issues and has the potential to navigate the ever-changing needs of the communities that surround health systems.

Association of Socioeconomic Variables with Primary Cesarean Section.

OBJECTIVES: Socioeconomic characteristics may be associated with cesarean section (CS) rates. We probe the relationship between socioeconomic variables and primary cesarean section (PCS) by studying indicators of socioeconomic status (SES) in a population-based study in New York City. METHODS: This was a retrospective study of all 80,506 women in New York City who gave birth to a live child during 2018, and who met inclusion and exclusion criteria. Data were drawn from the New York City Department of Health and Mental Hygiene and the US Census. The main outcome measure was performance of PCS as compared with vaginal birth. RESULTS: Approximately 21% of neonates were delivered by PCS. Multivariate multilevel mixed-effects logistic regression analysis showed higher odds for PCS for women with an upper-middle class median household income of US$108,500 to $380,499 (odds ratio [OR] 1.37, 95% confidence interval [CI] 1.07-1.76, P = 0.001), and the percentage enrolled in the Supplemental Nutrition Assistance Program (OR 1.01, 95% CI 1.001-1.012, P = 0.02). Lower odds for PCS occurred for all middle-class categories of per capita income: US$32,500 to $54,499 (OR 0.91, 95% CI 0.84-0.99, P = 0.02), US$54,500 to $108,499 (OR 0.76, 95% CI 0.66-0.88, P < 0.001), and US$108,500 to $380,499 (OR 0.80, 95% CI 0.66-0.96, P = 0.02). No significant association occurred for women receiving public assistance. CONCLUSIONS: Patient preferences in favor or against CS may be related to SES. There may be conflicts between obstetric care that is maximally beneficial and a patient's desire for delivery mode. Clinicians should be aware of the potential implications of this dilemma.

Sickle Cell Disease and Lead Poisoning in New York City, 2005-2019.

OBJECTIVES: Previous analyses of New York City (NYC) health department's lead registry indicated that, among children with lead poisoning, an increased prevalence of sickle cell disease (SCD) exists. However, SCD is not considered a risk factor for lead poisoning. We assessed the association between SCD and childhood lead poisoning to determine if specific lead poisoning prevention efforts are needed for children with SCD. METHODS: We analyzed NYC's lead registry data for children with venous blood lead levels (BLLs) ≥15 mcg/dL during 2005 to 2019. t tests and χ2 tests were performed to compare demographic characteristics, BLLs, and lead exposure risks in non-Hispanic Black children with and without SCD. A t test was used to compare observed SCD prevalence among Black children with BLLs ≥15 mcg/dL with an estimated 0.43% SCD prevalence among Black NYC children. RESULTS: Among 1728 Black children with BLLs ≥15 mcg/dL identified, 37 (2.14%) had SCD. When comparing children with and without SCD, both mean age at peak BLL (62.8 versus 42.7 months; P = .003) and peak BLL (42.59 versus 23.06 mcg/dL; P = .008) were higher for children with SCD. Among risk factors for lead exposure, children with SCD had higher prevalence of pica. Observed SCD prevalence was 1.71% higher than estimated SCD prevalence among Black NYC children (P < .001). CONCLUSIONS: We found a potential association between SCD and childhood lead poisoning. Pica emerged as a potentially important risk factor. Our findings might have implications for lead poisoning prevention guidelines for children with SCD.

Patients with diabetes struggling to afford food and control their HbA1c in food-insecure areas in Bronx, NY.

OBJECTIVE: To characterise the association between risk of poor glycaemic control and self-reported and area-level food insecurity among adult patients with type 2 diabetes. DESIGN: We performed a retrospective, observational analysis of cross-sectional data routinely collected within a health system. Logistic regressions estimated the association between glycaemic control and the dual effect of self-reported and area-level measures of food insecurity. SETTING: The health system included a network of ambulatory primary and speciality care sites and hospitals in Bronx County, NY. PARTICIPANTS: Patients diagnosed with type 2 diabetes who completed a health-related social need (HRSN) assessment between April 2018 and December 2019. RESULTS: 5500 patients with type 2 diabetes were assessed for HRSN with 7·1 % reporting an unmet food need. Patients with self-reported food needs demonstrated higher odds of having poor glycaemic control compared with those without food needs (adjusted OR (aOR): 1·59, 95 % CI: 1·26, 2·00). However, there was no conclusive evidence that area-level food insecurity alone was a significant predictor of glycaemic control (aOR: 1·15, 95 % CI: 0·96, 1·39). Patients with self-reported food needs residing in food-secure (aOR: 1·83, 95 % CI: 1·22, 2·74) and food-insecure (aOR: 1·72, 95 % CI: 1·25, 2·37) areas showed higher odds of poor glycaemic control than those without self-reported food needs residing in food-secure areas. CONCLUSIONS: These findings highlight the importance of utilising patient- and area-level social needs data to identify individuals for targeted interventions with increased risk of adverse health outcomes.

Traditional Eye Cosmetics and Cultural Powders as a Source of Lead Exposure.

OBJECTIVES: We aimed to describe the characteristics of traditional eye cosmetics and cultural powders, including the types, lead concentrations, origin, and regional variation in product names, and assess the differences in blood lead levels (BLLs) between product users and non-users. METHODS: We analyzed 220 samples of traditional eye cosmetics and cultural powders collected in New York City between 2013 and 2022 during lead poisoning investigations and store surveys. We compared the BLLs of children who used these products with those of non-users. RESULTS: Lead levels in traditional eye cosmetics surma and kohl were much higher than levels in kajal and other cultural powders. Although the terminologies surma, kohl, and kajal are often used interchangeably, findings suggest regional variations in the product names. The majority of the surma in this study were from Pakistan, kohl was from Morocco, and kajal was from India. The results also show that these products can contribute to elevated BLLs in children. CONCLUSIONS: Our study reveals that traditional eye cosmetics and cultural powders are used among children as young as newborns, and exposure to these products can significantly add to their lead body burden. The study findings also reveal that lead concentrations in these products can vary by product type and product names can vary by region. Public health officials must be cognizant of these unique variations and use culturally appropriate terminologies for these types of products because such distinctions can be critical when conducting risk assessments, risk communication, and risk reduction activities.

A pilot study of the cardiopulmonary effects in healthy volunteers after exposure to high levels of PM2.5 in a New York City subway station.

BACKGROUND: Subway systems are becoming increasingly common worldwide transporting large populations in major cities. PM2.5 concentrations have been demonstrated to be exceptionally high when underground, however. Studies on the impact of subway PM exposure on cardiopulmonary health in the United States are limited. METHODS: Healthy volunteers in New York City were exposed to a 2-h visit on the 9th Street Station platform on the Port Authority Trans-Hudson train system. Blood pressure, heart rate variability (HRV), spirometry, and forced impulse oscillometry were measured, and urine, blood spot, and nasal swab biosamples were collected for cytokine analysis at the end of the 2-h exposure period. These endpoints were compared against individual control measurements collected after 2-h in a "clean" control space. In addition to paired comparisons, mixed effects models with subject as a random effect were employed to investigate the effect of the PM2.5 concentrations and visit type (i.e., subway vs. control). RESULTS: Mean PM2.5 concentrations on the platform and during the control visit were 293.6 ± 65.7 (SD) and 4.6 ± 1.9 µg/m3, respectively. There was no change in any of the health metrics, but there was a non-significant trend for SDNN to be lower after subway exposure compared to control exposure. Total symptomatic scores did increase post-subway exposure compared to reported values prior to exposure or after the control visit. No significant changes in cytokine concentrations in any specimen type were observed. Mixed-effects models mostly corroborated these paired comparisons. CONCLUSIONS: Acute exposures to PM on a subway platform do not cause measurable cardiopulmonary effects apart from reductions in HRV and increases in symptoms in healthy volunteers. These findings match other studies that found little to no changes in lung function and blood pressure after exposure in underground subway stations. Future work should still target potentially more vulnerable populations, such as individuals with asthma or those who spend increased time underground on the subway such as transit workers.

Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study.

Background: Electronic health records (EHRs) are increasingly used for epidemiologic research to advance public health practice. However, key variables are susceptible to missing data or misclassification within EHRs, including demographic information or disease status, which could affect the estimation of disease prevalence or risk factor associations. Objective: In this paper, we applied methods from the literature on missing data and causal inference to assess whether we could mitigate information biases when estimating measures of association between potential risk factors and diabetes among a patient population of New York City young adults. Methods: We estimated the odds ratio (OR) for diabetes by race or ethnicity and asthma status using EHR data from NYU Langone Health. Methods from the missing data and causal inference literature were then applied to assess the ability to control for misclassification of health outcomes in the EHR data. We compared EHR-based associations with associations observed from 2 national health surveys, the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health and Nutrition Examination Survey, representing traditional public health surveillance systems. Results: Observed EHR-based associations between race or ethnicity and diabetes were comparable to health survey-based estimates, but the association between asthma and diabetes was significantly overestimated (OREHR 3.01, 95% CI 2.86-3.18 vs ORBRFSS 1.23, 95% CI 1.09-1.40). Missing data and causal inference methods reduced information biases in these estimates, yielding relative differences from traditional estimates below 50% (ORMissingData 1.79, 95% CI 1.67-1.92 and ORCausal 1.42, 95% CI 1.34-1.51). Conclusions: Findings suggest that without bias adjustment, EHR analyses may yield biased measures of association, driven in part by subgroup differences in health care use. However, applying missing data or causal inference frameworks can help control for and, importantly, characterize residual information biases in these estimates.

Prevalence of cardiovascular events in a population-based registry of patients with systemic lupus erythematosus.

BACKGROUND: The Manhattan Lupus Surveillance Program (MLSP), a population-based retrospective registry of patients with systemic lupus erythematosus (SLE), was used to investigate the prevalence of cardiovascular disease events (CVE) and compare rates among sex, age and race/ethnicity to population-based controls. METHODS: Patients with prevalent SLE in 2007 aged ≥ 20 years in the MLSP were included. CVE required documentation of a myocardial infarction or cerebrovascular accident. We calculated crude risk ratios and adjusted risk ratios (ARR) controlling for sex, age group, race and ethnicity, and years since diagnosis. Data from the 2009-2010 National Health and Nutrition Examination Survey (NHANES) and the 2013-2014 NYC Health and Nutrition Examination Survey (NYC HANES) were used to calculate expected CVE prevalence by multiplying NHANES and NYC HANES estimates by strata-specific counts of patients with SLE. Crude prevalence ratios (PRs) using national and NYC estimates and age standardized prevalence ratios (ASPRs) using national estimates were calculated. RESULTS: CVE occurred in 13.9% of 1,285 MLSP patients with SLE, and risk was increased among men (ARR:1.7, 95%CI:1.2-2.5) and older adults (age > 60 ARR:2.5, 95%CI:1.7-3.8). Compared with non-Hispanic Asian patients, CVE risk was elevated among Hispanic/Latino (ARR:3.1, 95%CI:1.4-7.0) and non-Hispanic Black (ARR:3.5, 95%CI1.6-7.9) patients as well as those identified as non-Hispanic and in another or multiple racial groups (ARR:4.2, 95%CI:1.1-15.8). Overall, CVE prevalence was higher among patients with SLE than nationally (ASPR:3.1, 95%CI:3.0-3.1) but did not differ by sex. Compared with national race and ethnicity-stratified estimates, CVE among patients with SLE was highest among Hispanics/Latinos (ASPR:4.3, 95%CI:4.2-4.4). CVE was also elevated among SLE registry patients compared with all NYC residents. Comparisons with age-stratified national estimates revealed PRs of 6.4 (95%CI:6.2-6.5) among patients aged 20-49 years and 2.2 (95%CI:2.1-2.2) among those ≥ 50 years. Male (11.3, 95%CI:10.5-12.1), Hispanic/Latino (10.9, 95%CI:10.5-11.4) and non-Hispanic Black (6.2, 95%CI:6.0-6.4) SLE patients aged 20-49 had the highest CVE prevalence ratios. CONCLUSIONS: These population-based estimates of CVE in a diverse registry of patients with SLE revealed increased rates among younger male, Hispanic/Latino and non-Hispanic Black patients. These findings reinforce the need to appropriately screen for CVD among all SLE patients but particularly among these high-risk patients.

Implementing and monitoring high-quality community health worker care in adult primary care at New York City Health + Hospitals.

BACKGROUND: This study describes how New York City (NYC) Health + Hospitals implemented a large-scale Community Health Worker (CHW) program in adult primary care clinics between January 2022 and December 2023 and established metrics to monitor program implementation. This study is timely as healthcare systems consider how to scale high-quality CHW programs. METHODS: We collected metrics in the following areas: (1) Workforce demographics, team structure, and training; (2) Enrolled patient demographics; (3) Patient-centered metrics, such as patient counts (e.g. patients outreached and enrolled) and engagement (e.g. median time in program, caseloads per CHW), and goals (e.g. median number of goals identified and completed). Metrics are based on standard data elements captured through CHW documentation in the electronic health record collected during program implementation. Data cleaning is completed using SQL queries and R scripts. RESULTS: In June 2023, there were a total of 97 CHW and 22 CHW Supervisor staff lines in adult primary care across 17 healthcare sites. There were 4.6 CHWs to 1 CHW supervisor on average though this ranged by facility from 1:1 to 1:6. Compared to the population that receives primary care at NYC H + H, CHWs served more African American/Black patients (40% vs. 32%) and an older patient population (35% older than 65 vs. 21% older than 65). From January 2022 to December 2023, 13,812 patients were outreached by CHWs. Of these, 9,069 (66%) were referred by clinicians, 7,331 (53%) were enrolled, and 5,044 (37%) successfully graduated. The median number of goals identified by patients was four, and the median number of goals completed with a CHW per patient was three. The top three goals were primary care engagement (47%), specialty care engagement (46%), and food insecurity (45%). CONCLUSION: Establishing clear implementation and process metrics helps to ensure that CHWs embedded in health systems can meaningfully engage adult patients in health care, address patient-centered goals, and connect patients to community and government services.

Knowledge and Attitudes About HIV Pre-Exposure Prophylaxis Among Sexually Active Black and Latina Cisgender Women: Findings from the 2017 and 2018 New York City Sexual Health Survey.

Pre-exposure prophylaxis (PrEP) is a highly effective tool to prevent HIV, yet it is underutilized among women. The current study aims to evaluate the awareness, attitudes, and perceptions of PrEP among a large survey sample of Black and Latina women in New York City (NYC). Interviewer-administered surveys were conducted in high HIV incidence neighborhoods in NYC among Black, Latina, and Afro-Latina women who reported recent sex with a man in 2017 (n = 398) and 2018 (n = 405). About 40% of participants were aware of PrEP, whereas 30.4% indicated interest in using it. The top reason for not utilizing it was low HIV risk perception. However, most participants supported the idea that using PrEP meant asserting control over their health (94.1%). Primary care providers and obstetricians/gynecologists were participants' preferred sources for PrEP (91.6%). Across survey cycles, compared to non-Black Latina participants, Black participants had significantly higher PrEP awareness (44.4% vs. 29.1%). PrEP awareness was also significantly higher among survey participants in 2018 (45.2%) than in 2017 (34.3%). Less than half of the participants were aware of PrEP, but those who were aware expressed largely positive attitudes toward the medication. Our findings may inform future PrEP implementation strategies to optimize awareness and access to PrEP among women disproportionately affected by HIV, like focusing on personal empowerment instead of risk-based messaging and training women's sexual health care providers in PrEP provision.

Utilizing big data without domain knowledge impacts public health decision-making.

New data sources and AI methods for extracting information are increasingly abundant and relevant to decision-making across societal applications. A notable example is street view imagery, available in over 100 countries, and purported to inform built environment interventions (e.g., adding sidewalks) for community health outcomes. However, biases can arise when decision-making does not account for data robustness or relies on spurious correlations. To investigate this risk, we analyzed 2.02 million Google Street View (GSV) images alongside health, demographic, and socioeconomic data from New York City. Findings demonstrate robustness challenges; built environment characteristics inferred from GSV labels at the intracity level often do not align with ground truth. Moreover, as average individual-level behavior of physical inactivity significantly mediates the impact of built environment features by census tract, intervention on features measured by GSV would be misestimated without proper model specification and consideration of this mediation mechanism. Using a causal framework accounting for these mediators, we determined that intervening by improving 10% of samples in the two lowest tertiles of physical inactivity would lead to a 4.17 (95% CI 3.84-4.55) or 17.2 (95% CI 14.4-21.3) times greater decrease in the prevalence of obesity or diabetes, respectively, compared to the same proportional intervention on the number of crosswalks by census tract. This study highlights critical issues of robustness and model specification in using emergent data sources, showing the data may not measure what is intended, and ignoring mediators can result in biased intervention effect estimates.

Expanding community-based participatory action research practices to clubhouses through sustainable research activities.

OBJECTIVE: There is growing utilization and acknowledgement of the benefits of community-based participatory action research (CBPAR) in advancing health practices and equity. However, the sustainability and full impact of CBPAR in health care settings faces many obstacles and limitations. The present article examines the synergies between CBPAR and Clubhouse programs, presents the demonstration and ongoing implementation of sustainable CBPAR practices at Fountain House in New York City, and offers lessons learned for other Clubhouses and similar programs seeking to integrate CBPAR. METHODS: Alignment in practice and principles between CBPAR and Clubhouse programs are presented. The innovation and ongoing sustainable CBPAR practices in the Fountain House Clubhouse program are examined with a contribution of practice guidance for other Clubhouse and similar programs in further adopting and learning CBPAR into participatory health practices. RESULTS: Clubhouse psychosocial rehabilitation programs present structurally conducive settings for the success and sustainability of CBPAR activities and projects. The Fountain House examination and demonstration of integrating CBPAR sustainably into core Clubhouse programming presents opportunities for further integration, research, and practice guidance in uniquely leveraging features of the Clubhouse model to advance health equity and rehabilitative outcomes through CBPAR. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: The opportunity for incorporating structural CBPAR activities within Clubhouse programs can be informed by the experience, processes, and lessons applied in the Fountain House example. Further research into the rehabilitation, program, and equity benefits of Clubhouse and CBPAR integration could uniquely contribute to the advancement of sustainable participatory research practices across the mental health field generally. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Assessing vaccine strategies for mpox outbreak in New York City using an age-structure model.

BACKGROUND: Since May 7 2022, mpox has been endemic in many countries which has attracted the attention of health authorities in various countries and made control decisions, in which vaccination is the mainstream strategy. However, the shortage of vaccine doses and the reduction of protective efficacy have led to unresolved issues such as vaccine allocation decisions and evaluation of transmission scale. METHODS: We developed an epidemiological model to describe the prevalence of the mpox virus in New York City and calibrated the model to match surveillance data from May 19 to November 3, 2022. Finally, we adjusted the model to simulate and compare several scenarios of non-vaccination and pre-pandemic vaccination. RESULTS: Relative to the status quo, if vaccination is not carried out, the number of new infections increases to about 385%, and the transmission time will be extended to about 350%, while if vaccinated before the epidemic, the number of new infections decreases to 94.2-96%. CONCLUSIONS: The mpox outbreak in New York City may be linked to the Pride event. However, with current vaccine coverage, there will be no more large-scale outbreaks of mpox, even if there is another similar activity. For areas with limited vaccines, priority is given to high-risk groups in the age group [34-45] years as soon as possible.

Preconception HbA1c Levels in Adolescents and Young Adults and Adverse Birth Outcomes.

Importance: Subclinical hyperglycemia before pregnancy may be associated with the likelihood of maternal morbidity but is understudied among young people. Objective: To explore the association of preconception hemoglobin A1c (HbA1c) levels among adolescents and young adults with risk of gestational diabetes at first live birth. Design, Setting, and Participants: This retrospective cohort study used linked 2009 to 2017 birth registry, hospital discharge, and New York City Department of Health A1C Registry data for birthing individuals aged 10 to 24 years with no history of diabetes and at least 1 preconception HbA1c test in New York, New York. Statistical analysis was performed from August to November 2022. Exposure: Preconception HbA1c values categorized as no diabetes (HbA1c <5.7%) or prediabetes (HbA1c ≥5.7% to <6.5%). Main Outcomes and Measures: The primary outcome was gestational diabetes at first birth. Secondary outcomes included hypertensive disorders of pregnancy, preterm birth, cesarean delivery, and macrosomia. Log binomial regression was used to estimate the relative risk (RR) of gestational diabetes at first birth by preconception HbA1c level, adjusting for prepregnancy characteristics. The optimal HbA1c threshold for gestational diabetes was examined using receiver operating curve regression. Results: A total of 14 302 individuals (mean [SD] age, 22.10 [1.55] years) met study eligibility criteria. Of these, 5896 (41.0%) were Hispanic, 4149 (29.0%) were Black, 2583 (18.1%) were White, 1516 (10.6%) were Asian, and 185 (1.3%) had other or unknown race and ethnicity. Most (11 407 individuals [79.7%]) had normoglycemia before pregnancy, and 2895 individuals (20.2%) had prediabetes. Adjusting for prepregnancy characteristics, those with preconception prediabetes had more than twice the risk of gestational diabetes vs those with normoglycemia (adjusted RR [aRR], 2.21; 95% CI, 1.91-2.56). Preconception prediabetes was associated with small increases in the likelihood of a hypertensive disorder of pregnancy (aRR, 1.18; 95% CI, 1.03-1.35) and preterm delivery (aRR, 1.18; 95% CI, 1.02-1.37). The aRRs for cesarean delivery (aRR, 1.09; 95% CI, 0.99-1.20) and macrosomia (aRR, 1.13; 95% CI, 0.93-1.37) were increased but not statistically significant. The optimal HbA1c threshold to identify gestational diabetes among adolescents and young adults was 5.6%. The threshold did not vary by obesity status but was slightly lower among Hispanic individuals (HbA1c of 5.5%). Conclusions and Relevance: In this study of adolescents and young adults with at least 1 preconception HbA1c test, prediabetes was associated with increased likelihood of maternal cardiometabolic morbidity at first birth. Efforts to optimize cardiometabolic health before pregnancy may avert excess maternal risk.

Combining electronic health records data from a clinical research network with registry data to examine long-term outcomes of interventions and devices: an observational cohort study.

OBJECTIVES: To assess the feasibility of assessing long-term outcomes of peripheral vascular intervention (PVI) by linking data from a clinical registry to electronic health records (EHR) data from a clinical research network. DESIGN: Observational cohort study. SETTING: Vascular Quality Initiative registry linked to INSIGHT Clinical Research Network, which aggregated EHR data from multiple institutions in New York City. PARTICIPANTS: Patients receiving PVI during 1 January 2013-30 November 2021 in four centres in New York City. PRIMARY AND SECONDARY OUTCOME MEASURES: We examined the proportion of registry patients retained in EHR over time and predictors of EHR retention after year 1. We evaluated the implications of EHR attrition by examining amputation-free survival (AFS) in the observed data and predicted data when patients discontinued in the EHR were hypothesised to have increased risks of events than the observed average. RESULTS: We included 1405 patients receiving PVI (age=70.8±11.2 years, 51.3% male). Among eligible patients, 75.2% were retained in EHR through year 3. Patients who aged 75 years or above (vs <65: OR 0.34, 95% CI 0.18 to 0.62), had Medicaid (vs Medicare: OR 0.41, 95% CI 0.22 to 0.79), congestive heart failure (OR 0.54, 95% CI 0.32 to 0.90), dialysis (OR 0.47, 95% CI 0.24 to 0.91) and reduced ambulation (OR 0.34, 95% CI 0.15 to 0.75) were less likely to be retained in EHR. When discontinued patients were hypothesised to have increased risks of death or amputation than observed, AFS estimates diverged from the observed data around 6-12 months. CONCLUSIONS: Studies using registry-EHR data may benefit from the timeliness of the data but may be most appropriate to focus on short-term to intermediate-term outcomes of interventions and devices. Future research is needed to investigate the value of registry-EHR linkage in facilitating short-term to intermediate-term outcome assessment following vascular interventions and advanced statistical approaches to account for non-random missing long-term data.

A Bronx Dad's Tale.

In this narrative medicine essay, a neonatologist through the complex forces of intensive care physician, son, and ethicist grapples with the impending loss of his father and ultimately understanding his father's demand for autonomy in deciding his care.

A Web-Based Antiretroviral Therapy Adherence Intervention (Thrive With Me) in a Community-Recruited Sample of Sexual Minority Men Living With HIV: Results of a Randomized Controlled Study.

BACKGROUND: Most new HIV infections are attributed to male-to-male sexual contact in the United States. However, only two-thirds of sexual minority men living with HIV achieve an undetectable viral load (UVL). We tested a web-based antiretroviral therapy adherence intervention called Thrive with Me (TWM) with core features that included medication self-monitoring and feedback, HIV and antiretroviral therapy information, and a peer-to-peer exchange. OBJECTIVE: We assessed the efficacy of TWM on HIV UVL among adult (aged ≥18 years) sexual minority men. Moreover, we assessed the impact of overall engagement and engagement with specific intervention features on HIV UVL. METHODS: In total, 401 sexual minority men (mean age 39.1, SD 10.8 y; 230/384, 59.9% African American) in New York City were recruited between October 2016 and December 2019 and randomized to receive TWM (intervention) or a weekly email newsletter (control) for 5 months. Computerized assessments occurred at baseline and months 5, 11, and 17. The primary outcome was a dichotomous measure of HIV UVL (≤20 copies/µL). Generalized estimating equations with robust SEs were used to assess the effect of the TWM intervention on HIV UVL over the follow-up period in an unadjusted model and a model adjusted for baseline differences and then stratified by baseline recent drug use urinalysis. In secondary analyses, generalized linear models were used to estimate risk differences in the association of overall engagement with TWM (the sum of the number of days participants accessed ≥1 screen of the TWM intervention out of a possible 150 days) and engagement with specific TWM components on HIV UVL throughout the 17-month intervention period. RESULTS: Participant retention was 88.5% (355/401; month 5), 81.8% (328/401; month 11), and 80.3% (322/401; month 17). No consistent differences in HIV UVL were found between those randomized to receive TWM or the control at the 5- (difference-in-differences [DD]=-7.8, 95% CI -21.1 to 5.5), 11- (DD=-13.9, 95% CI -27.7 to 0.04), or 17-month (DD=-8.2, 95% CI -22.0 to 5.7) time points, or when stratified by baseline recent drug use. However, those TWM-assigned participants with high overall levels of engagement (in the upper 25th percentile) were more likely to have an HIV UVL at the end of the 5-month active intervention period compared to those with low engagement (below the 75th percentile; risk difference=17.8, 95% CI 2.5-33.0) or no engagement (risk difference=19.4, 95% CI 3.3-35.5) in the intervention. Moreover, high engagement with the peer-to-peer exchange was associated with HIV UVL over time in unadjusted models. CONCLUSIONS: TWM did not have overall impacts on HIV UVL; however, it may assist some sexual minority men who are highly engaged with this web-based intervention in achieving HIV viral suppression. TRIAL REGISTRATION: ClinicalTrials.gov NCT02704208; https://clinicaltrials.gov/study/NCT02704208.

Long-term contributions of VOC sources and their link to ozone pollution in Bronx, New York City.

Changes in energy and environmental policies along with changes in the energy markets of New York State over the past two decades, have spurred interest in evaluating their impacts on emissions from various energy generation sectors. This study focused on quantifying these effects on VOC (volatile organic compounds) emissions and their subsequent impacts on air quality within the New York City (NYC) metropolitan area. NYC is an EPA nonattainment region for ozone (O3) and likely is a VOC limited region. NYC has a complex coastal topography and meteorology with low-level jets and sea/bay/land breeze circulation associated with heat waves, leading to summertime O3 exceedances and formation of secondary organic aerosol (SOA). To date, no comprehensive source apportionment studies have been done to understand the contributions of local and long-range sources of VOCs in this area. This study applied an improved Positive Matrix Factorization (PMF) methodology designed to incorporate atmospheric dispersion and photochemical reaction losses of VOCs to provide improved apportionment results. Hourly measurements of VOCs were obtained from a Photochemical Assessment Monitoring Station located at an urban site in the Bronx from 2000 to 2021. The study further explores the role of VOC sources in O3 and SOA formation and leverages advanced machine learning tools, XGBoost and SHAP algorithms, to identify synergistic interactions between sources and provided VOC source impacts on ambient O3 concentrations. Isoprene demonstrated a substantial influence in the source contribution of the biogenic factor, emphasizing its role in O3 formation. Notable contributions from anthropogenic emissions, such as fuel evaporation and various industrial processes, along with significant traffic-related sources that likely contribute to SOA formation, underscore the combined impact of natural and human-made sources on O3 pollution. Findings of this study can assist regulatory agencies in developing appropriate policy and management initiatives to control O3 pollution in NYC.