Modeling Poliovirus Transmission and Responses in New York State.

BACKGROUND: In July 2022, New York State (NYS) reported a case of paralytic polio in an unvaccinated young adult, and subsequent wastewater surveillance confirmed sustained local transmission of type 2 vaccine-derived poliovirus (VDPV2) in NYS with genetic linkage to the paralyzed patient. METHODS: We adapted an established poliovirus transmission and oral poliovirus vaccine evolution model to characterize dynamics of poliovirus transmission in NYS, including consideration of the immunization activities performed as part of the declared state of emergency. RESULTS: Despite sustained transmission of imported VDPV2 in NYS involving potentially thousands of individuals (depending on seasonality, population structure, and mixing assumptions) in 2022, the expected number of additional paralytic cases in years 2023 and beyond is small (less than 0.5). However, continued transmission and/or reintroduction of poliovirus into NYS and other populations remains a possible risk in communities that do not achieve and maintain high immunization coverage. CONCLUSIONS: In countries such as the United States that use only inactivated poliovirus vaccine, even with high average immunization coverage, imported polioviruses may circulate and pose a small but nonzero risk of causing paralysis in nonimmune individuals.

Case of Human Orthohantavirus Infection, Michigan, USA, 2021.

Orthohantaviruses cause hantavirus cardiopulmonary syndrome; most cases occur in the southwest region of the United States. We discuss a clinical case of orthohantavirus infection in a 65-year-old woman in Michigan and the phylogeographic link of partial viral fragments from the patient and rodents captured near the presumed site of infection.

Contemporary burden and trends of opioid-overdose mortality in New York State.

BACKGROUND: Limited research exists on contemporary opioid overdose mortality burden and trends in New York State, with most studies focusing on New York City. This study aimed to assess opioid overdose burden and death trends in New York State by age, sex, race/ethnicity, geographic area, opioid type, and overdose intent from 1999 to 2020. METHODS: Mortality data were obtained from the Centers for Disease Control and Prevention's WONDER database. Opioid overdose decedents were identified using relevant International Classification of Diseases, 10th Revision codes. Joinpoint regression analyzed trends, estimating annual and average annual percentage changes in age-adjusted mortality rates (AAMR). 95% confidence intervals were derived using the Parametric Method. RESULTS: From 1999 to 2020, New York State recorded 34,109 opioid overdose deaths (AAMR = 7.9 per 100,000 persons; 95% CI: 7.8-7.9). The overall trend increased by 12.6% per year (95% CI: 10.8, 14.4) from 2004 to 2020. Subgroups exhibited varying trends, with an 11.1% yearly increase among Non-Hispanic White persons from 2007 to 2020 (95% CI: 9.0, 13.2), a 24.6% annual rise among Non-Hispanic Black persons from 2012 to 2020 (95% CI: 17.7, 31.8), and an 18.3% increase yearly among Hispanic individuals from 2011 to 2020 (95% CI: 14.0, 22.9). Recent trends have worsened in both males and females, across all age groups, in both New York City (NYC) and areas outside NYC, and for heroin, natural and semisynthetic opioids, and synthetic opioids. CONCLUSIONS: Opioid overdose mortality in New York State has worsened significantly in the last two decades. Further research is essential to identify driving factors for targeted public health interventions.

Viral Load Suppression in People Living with HIV Before and During the COVID-19 Pandemic in Brooklyn, New York.

Consistent care is crucial for the health maintenance of people living with human immunodeficiency virus (HIV) (PWH). The coronavirus 2019 (COVID-19) epidemic disrupted patient care in New York City (NYC), yet few studies investigated the association between COVID-19 and viral load suppression in PWH in NYC. This study aims to assess how the COVID-19 pandemic impacted HIV viral load and CD4 + T-cell counts in PWH. Medical records of 1130 adult HIV patients who visited the Special Treatment and Research Health Center in Brooklyn, NY, between January 2019 and May 2023 were compared across three timeframes (pre-pandemic, January 1, 2019 to December 31, 2019; first pandemic phase, March 19, 2020 to December 31, 2020; and second pandemic phase, January 1, 2021 to May 11, 2023). Demographic and clinical variables (e.g. viral load and CD4 + T cell count) were assessed. About 40% of patients did not have routine laboratory monitoring during the first pandemic phase compared with pre-pandemic. The mean HIV viral load was higher during the second pandemic phase compared with pre-pandemic (p = 0.009). The percentages of patients with undetectable HIV viral load and numbers (mm3) of CD4 + T-cells were similar for all time periods. These findings indicate that the COVID-19 pandemic may have exacerbated challenges for individuals who already had barriers to medication adherence or access. However, most individuals remained consistently on their antiretrovirals throughout the pandemic. Further studies are warranted to determine how to mitigate the impact of future pandemics for the health of PWH.

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.

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.

Vulnerability or Resiliency? A Two-Wave Panel Analysis of Social Network Factors Associated with Glycemic Levels among Mexican Immigrants in the Bronx, NYC, Before and During COVID-19.

Latinos have high rates of type 2 diabetes mellitus (T2DM) yet are characterized as having health-promoting social networks. The impacts of COVID-19 on personal networks were complex, especially in urban areas with high proportion of immigrants such as the Bronx in NYC. Our objective was to test the extent to which network characteristics increase vulnerability or resiliency for glycemic control based on data gathered from Mexican-origin Bronx dwellers. We used two-wave panel study analyzing self-reported personal social networks (n=30participants; 600network members) and HbA1c levels via dried blood spots in 2019, before the COVID-19 pandemic, and in 2021, a time after initial lockdowns and when the pandemic was still ravaging the community of study. Regression models adjusted for individual-level variables including sociodemographic and health indicators (i.e., physical health including COVID-19 and mental health). We found that an increase in the proportion of network members with diabetes predicted an increase in participant's HbA1c levels from 2019 to 2021 (ß=0.044, p < 0.05). Also, a greater proportion of network members consuming "an American diet" in 2019 predicted a decrease in participant's HbA1c levels (ß=-0.028, p < 0.01), while a greater proportion of network members that encouraged participants' health in 2019 predicted an increase in participant's HbA1c levels (ß=0.033, p < 0.05). Our study sheds light on specific social network characteristics relevant to individual diabetes outcomes, including potential longitudinal mechanistic effects that played out at the peak of the COVID-19 crisis.

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.

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.

Paid family leave and the fight against hunger: Evidence from New York.

We examine the effects of New York's paid family leave (PFL) policy, introduced in January 2018, on food security. While researchers evaluating PFL policies in the past have mostly focused on employment and health outcomes, we believe that an improved understanding of potential impacts on food security is pivotal as it is directly related to the health and well-being of mothers and new-borns during the postnatal months. Our analysis uses two primary data sets-Current Population Survey Food Security Supplement (CPS-FSS) and Panel Study of Income Dynamics. Estimating difference-in-differences and triple difference models, we show that New York's PFL reduced the prevalence of low food security by 36% in both datasets. The positive effects are more sizable for households with low-educated heads and families with incomes under 185% of the Federal Poverty Line. These findings highlight that paid leave benefits lead to a larger reduction in food insecurity among disadvantaged families and thus have the potential to reduce existing societal inequalities. When examining potential mechanisms through which New York's PFL law improves food security, we show that the policy increased food expenditures, increased labor force participation, particularly by mothers, and improved parental health.

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.

Show and slow codes: A historical analysis of clinicians' adaptations to ethical overreach.

After briefly reviewing the historical development and ethical regulation of resuscitative technologies, this study probes why clinicians engage in the morally problematic practice of show and slow coding and why hospitals tolerate it? Studies conducted in 1995 and 2020 indicate that conscientious clinicians engage in these practices to protect their patients from abusive or futile resuscitation. And hospitals' clinical cultures tolerate these practices to protect conscientious clinicians from censure, dismissal, delicensing, or legal prosecution for withholding or withdrawing abusive or futile resuscitative technologies without prior patient or surrogate consent. Show and slow coding evolved in American clinical cultures in the second half of the 20th century when closed-chest cardiac massage, defibrillators, ventilators, and other resuscitative technologies raised seemingly novel ethical questions. To address these questions, bioethics commissions, healthcare societies, lawmakers, and a Roman Catholic Pope developed ethics standards requiring clinicians to obtain patient or surrogate consent before withholding or withdrawing resuscitative technologies. They thus conferred on patients an implicit right of resuscitation even if it was abusive and/or futile. Conscientious clinicians circumvented this implicit right by show and slow coding to protect patients from abusive resuscitation. Recognizing clinicians' benign intent, hospitals' clinical cultures tolerate show and slow coding as acts of conscience, akin to civil disobedience. Thus, rescinding ethics standards and laws requiring prior patient/surrogate consent for non-resuscitation or for cessation of resuscitative technologies decisions should end show/slow coding. Such a reform should also recognize clinicians' right of conscientious refusal to perform CPR.

Social and Demographic Influences of Trust in Cancer Information Among Brooklyn, New York Residents.

Little is known regarding the patterns of trust sources for cancer information among diverse populations in the US, which is particularly poignant during the current era of misinformation. Our objective to assess trust from different sources among a sample of Brooklyn, New York residents. Using data from the NCI funded Brooklyn Cancer Health Impact Program, we examined HINTS validated questions examining trust in cancer information across 9 sources. Logistic regression models were used to examine associations with cancer information trust sources. For trust in government health agencies, participants who had less than a college degree were almost 30% less likely to report high levels of trust (aOR: 0.71; 95% CI: 0.52-0.98), participants who reported a household income under $50,000 were 35% less likely report high levels of trust (aOR: 0.65; 95% CI: 0.47-0.89). Participants whose primary language was Spanish were significantly less likely to trust government (aOR: 0.45; 95% CI: 0.29-0.70), newspapers and magazines (aOR: 0.54; 95% CI, 0.34-0.84), and charitable organizations (aOR: 0.48; 95% CI, 0.31-0.75) compared to participants whose primary was English. New York is the most populous city in the US, a city of immigrants, and it is important for healthcare and public health professionals to explore how they can utilize media to provide accurate scientific evidence to combat cancer misinformation.

Traffic as an Urban Health Determinant: Coverage of the New York City Congestion Pricing Plan on TikTok.

Social listening can provide deeper insight into public sentiment regarding policy proposals, as seen with the congestion pricing initiative in New York City (NYC). The purpose of this study was to assess the content of a sample of TikTok videos related to congestion pricing in NYC. A total of 100 unique videos were extracted from the hashtag #nyccongestionpricing on TikTok and coded for the presence of the following information based on four different areas of focus: video metrics, details about pricing plan, effects of pricing plan, and user-related issues. In total, the 100-video sample received 17,375,818 views, 1,285,610 likes, 89,883 favorites, and 100,634 comments. Only 3 of the 25 content characteristics were present in a majority (> 50) of the videos. These were mentions location (below 60th street of Manhattan) (N = 65), mentions cost (N = 61), and mentions cons of pricing (N = 56). Mentioning location had a significant effect on the views (p = 0.0163) and likes (p = 0.0225) a video received. Mentioning cost had a statistical impact on the views (p = 0.0098), likes (p = 0.0128), favorites (p = 0.0128), and comments (p = 0.0030) that the video received. Mentioning the MTA and benefits of the congestion plan significantly lowered metrics of engagement. Themes that emerged were personal, often negative and tended to focus more on cost to citizens and location, despite the evidence of negative public health impacts. This research can be used as a springboard for future research that examines social listening at the intersection of public health and policy.

Trusted Information Sources About the COVID-19 Vaccine Vary in Underserved Communities.

The COVID-19 pandemic was one of the deadliest global public health events. In the United States, over 1.1 million individuals have died, and now COVID-19 is the third leading cause of death (CDC, 2023). Vaccine uptake has stalled among different demographics. Vaccine hesitancy, a delay in accepting or refusing vaccines, poses a significant challenge regardless of the availability of safe and effective COVID-19 vaccines. This study aimed to identify disparate COVID-19 vaccine uptake among individuals in Western New York. The primary objective was to identify the factors contributing to lower rates of COVID-19 vaccination within this population.Data were collected from 585 adults recruited from 20 Niagara and Erie Counties sites using a self-administered survey on vaccine hesitancy, vaccination status, and COVID-19-related characteristics. The survey included the adult Vaccine Hesitancy Scale (aVHS) and acquired information on demographic characteristics and COVID-19 impact, knowledge, and information sources. Data were analyzed using descriptive statistics, a chi-squared test, a Wilcoxon rank-sum test, and a logistic regression model.Findings suggest that unvaccinated participants (n = 35) were concerned about vaccine side effects (48.6%). For vaccinated/unboosted participants (n = 52), they (40.0%) reported clinical concerns. After adjusting for gender and age, healthcare provider guidance and family guidance remained significant predictors of vaccination status, while clinical research studies were significant predictors of booster status. Findings from this study suggest public health interventions that target vaccine education and facilitate well-informed decisions about COVID-19 vaccines lead to less vaccine hesitancy.

Mental Health Service Use, Barriers, and Service Preferences During COVID-19 among Low-Income Housing and Market-Rate Housing Residents of Harlem in New York City.

This study examined the differences in mental health service use, barriers, and service preferences among 393 low-income housing (LIH) and market-rate housing (MRH) Harlem residents in New York City. One-third (34.6%) endorsed the need for professional support for psychological issues, 27.2% and 15.8% reported using counseling services and psychotropic medication, with no differences between housing types. LIH residents (21.6-38.8%) reported significantly higher use of all types of mental health resources (e.g., websites, anonymous hotlines, self-help tools) compared with MRH residents (16.1-26.4%). Eighty-six percent reported barriers to mental health access, with LIH residents reporting more than double the barriers. Particularly, LIH residents reported greater difficulty getting time off work (34.1% vs. 14%), lack of health insurance (18.7% vs. 9.8%), lack of trust in mental health providers (14.6% vs. 4.7%), and stigma (12.2% vs. 5.1%) compared with MRH residents. Residents most preferred places of services were health clinics and houses of worship; provided by healthcare and mental health providers; and services delivered in-person and phone-based counseling. In contrast, residents least preferred getting support at mental health clinics; from family/friends; and by the Internet. No differences were found between service preferences by housing type. LIH residents reported higher use of mental health services and resources, but they face significantly more barriers to mental health care, suggesting a need to address specific barriers. Preferences for mental health services suggest a need for expanding mental health services to different settings given the low preference for services to be delivered at mental health clinics.

Mid-life adherence to the Dietary Approaches to Stop Hypertension (DASH) diet and late-life subjective cognitive complaints in women.

INTRODUCTION: Evidence is limited on the role of mid-life Dietary Approaches to Stop Hypertension (DASH) diet in late-life subjective cognitive complaints (SCCs). METHODS: We included 5116 women (mean age in 1985-1991: 46 years) from the New York University Women's Health Study. SCCs were assessed from 2018 to 2020 (mean age: 79 years) by a 6-item questionnaire. RESULTS: Compared to women in the bottom quartile of the DASH scores, the odds ratio (OR) for having two or more SCCs was 0.83 (95% confidence interval: 0.70-0.99) for women in the top quartile of DASH scores at baseline (P for trend = 0.019). The association was similar with multiple imputation and inverse probability weighting to account for potential selection bias. The inverse association was stronger in women without a history of cancer (P for interaction = 0.003). DISCUSSION: Greater adherence to the DASH diet in mid-life was associated with lower prevalence of late-life SCCs in women.

A Group-Based, Six-Lesson Healthy Eating Curriculum for Individuals With Serious Mental Illnesses: Development and Implementation.

As part of an intervention tailored to individuals with serious mental illnesses in residential settings that aimed to increase dietary intake of fresh vegetables and fruits, we developed and implemented a nutrition and cooking curriculum. To develop the curriculum, we assembled a Workgroup that consisted of professionals from multiple fields. The Workgroup held weekly discussions before drafting what would become the Workbook. Residential staff at partnering housing agencies taught the curriculum to residents. The curriculum Workbook contains six lessons, which are organized around two field trips to a mobile farmers market and a grocery store, and four cooking methods. The Workbook also includes instructions on using FreshConnect Checks at mobile farmers markets. The new curriculum distinguishes itself from other nutrition and culinary literacy curricula in that it delivers knowledge about fresh produce and skills in preparing fruits and vegetables in a way that is tailored to individuals with serious mental illnesses.

Integrating compression therapy into heart failure and lymphoedema management.

Heart failure (HF) and lymphoedema often co-exist, significantly affecting the quality of life and requiring complex management. Heart Failure, characterised by reduced cardiac function, affects around 1 million people in the UK. Lymphoedema, involving lymphatic failure, affects 4 to 29 per 1000 individuals, particularly older adults. Traditionally heart failure management focuses on medication, while lymphoedema relies on compression therapy (CT). The article examines the integration of CT to treat lymphoedema with coexisting HF. Evidence suggests that with careful management and multidisciplinary collaboration, CT can be safely used in stable HF patients to manage lymphoedema, improving overall treatment outcomes and patient wellbeing. This approach requires adherence to guidelines and a holistic, patient-centred care model. Debates about CT for lymphoedema in the presence of HF highlight the need for patient-focused and all-encompassing care. Practitioners must consider the broader context of both conditions and collaborate with colleagues and patients to make informed treatment decisions.