"I stretch them out as long as possible:" U.S. women's experiences of menstrual product insecurity during the COVID-19 pandemic.

BACKGROUND: A growing body of evidence highlights how the COVID-19 pandemic has exacerbated gender inequalities in the US. This resulted in women being more vulnerable to economic insecurity and decreases in their overall well-being. One relevant issue that has been less explored is that of women's menstrual health experiences, including how inconsistent access to menstrual products may negatively impact their daily lives. METHODS: This qualitative study, conducted from March through May 2021, utilized in-depth interviews that were nested within a national prospective cohort study. The interviews (n = 25) were conducted with a sub-sample of cis-gender women living across the US who had reported challenges accessing products during the first year of the pandemic. The interviews sought to understand the barriers that contributed to experiencing menstrual product insecurity, and related coping mechanisms. Malterud's 'systematic text condensation', an inductive thematic analysis method, was utilized to analyze the qualitative transcripts. RESULTS: Respondents came from 17 different states across the U.S. Three key themes were identified: financial and physical barriers existed to consistent menstrual product access; a range of coping strategies in response to menstrual product insecurity, including dependence on makeshift and poorer quality materials; and heightened experiences of menstrual-related anxiety and shame, especially regarding the disclosure of their menstruating status to others as a result of inadequate menstrual leak protection. CONCLUSIONS: Addressing menstrual product insecurity is a critical step for ensuring that all people who menstruate can attain their most basic menstrual health needs. Key recommendations for mitigating the impact of menstrual product insecurity require national and state-level policy reform, such as the inclusion of menstrual products in existing safety net basic needs programs, and the reframing of menstrual products as essential items. Improved education and advocacy are needed to combat menstrual stigma.

Neighborhood Alcohol Outlet Density, Historical Redlining, and Violent Crime in NYC 2014-2018.

Alcohol outlets tend to cluster in lower income neighborhoods and do so disproportionately in areas with more residents of color. This study explores the association between on- and off-premise alcohol outlet density and history of redlining with violent crime in New York City between 2014 and 2018. Alcohol outlet density was calculated using a spatial accessibility index. Multivariable linear regression models assess associations between the history of redlining, on-premise and off-premise alcohol outlet density with serious crime. Each unit increase in on- and off-premise alcohol density was associated with a significant increase in violent crime (ß = 3.1, p < 0.001 on-premise and ß = 33.5, p < 0.001 off premise). In stratified models (redlined vs not redlined community block groups) the association between off-premise alcohol outlet density and violent crime density was stronger in communities with a history of redlining compared to those without redlining (ß = 42.4, p < 0.001 versus ß = 30.9, p < 0.001, respectively). However, on-premise alcohol outlet density was only significantly associated with violent crime in communities without a history of redlining (ß = 3.6, p < 0.001). The violent crime experienced by formerly redlined communities in New York City is likely related to a legacy of racialized housing policies and may be associated with state policies that allow for high neighborhood alcohol outlet density.

Psychosocial Stressors and Maternal Mental Health in the U.S. During the First Wave of the COVID-19 Pandemic: A Cross-Sectional Analysis.

OBJECTIVES: The COVID pandemic has had widespread impacts on maternal mental health. This research aims to examine the relationship between psychosocial stressors and symptoms of depression and anxiety and the extent to which emotional support or resilient coping moderates the relationship between psychosocial stressors and maternal mental health during the first wave of the COVID pandemic. METHODS: This analysis includes data collected in October and November 2020 from a geographically and sociodemographically diverse sample of 776 mothers in the U.S. with children ≤ 18 years of age. Log binomial models were used to estimate the association between moderate or severe symptoms of anxiety and depression and psychosocial stressors. RESULTS: Symptoms of moderate or severe anxiety and depression were reported by 37.5% and 37.6% of participants, respectively. Moderate (aRR 2.76 [95% CI 1.87, 4.07]) and high (aRR 4.95 [95% CI 3.40, 7.20]) levels of perceived stress were associated with greater risk of moderate or severe anxiety symptoms. Moderate and high levels of parental burnout were also associated with greater prevalence of moderate or severe anxiety symptoms in multivariable models. Results were similar when examining the relationship among stress, parental burnout, and depressive symptoms. Neither resilient coping nor social support modified the relationship between psychosocial stressors and mental health. CONCLUSIONS FOR PRACTICE: Evidence-based strategies to reduce stress and parental burnout and improve the mental health of mothers are urgently needed. Strategies focused on bolstering coping and social support may be insufficient to improve maternal mental health during acute public health emergencies.

Racial/Ethnic Disparities in Exposure, Disease Susceptibility, and Clinical Outcomes during COVID-19 Pandemic in National Cohort of Adults, United States.

We examined racial/ethnic disparities for COVID-19 seroconversion and hospitalization within a prospective cohort (n = 6,740) in the United States enrolled in March 2020 and followed-up through October 2021. Potential SARS-CoV-2 exposure, susceptibility to COVID-19 complications, and access to healthcare varied by race/ethnicity. Hispanic and Black non-Hispanic participants had more exposure risk and difficulty with healthcare access than white participants. Participants with more exposure had greater odds of seroconversion. Participants with more susceptibility and more barriers to healthcare had greater odds of hospitalization. Race/ethnicity positively modified the association between susceptibility and hospitalization. Findings might help to explain the disproportionate burden of SARS-CoV-2 infections and complications among Hispanic/Latino/a and Black non-Hispanic persons. Primary and secondary prevention efforts should address disparities in exposure, vaccination, and treatment for COVID-19.

Household factors and the risk of severe COVID-like illness early in the U.S. pandemic.

OBJECTIVE: To investigate the role of children in the home and household crowding as risk factors for severe COVID-19 disease. METHODS: We used interview data from 6,831 U.S. adults screened for the Communities, Households and SARS/CoV-2 Epidemiology (CHASING) COVID Cohort Study in April 2020. RESULTS: In logistic regression models, the adjusted odds ratio [aOR] of hospitalization due to COVID-19 for having (versus not having) children in the home was 10.5 (95% CI:5.7-19.1) among study participants living in multi-unit dwellings and 2.2 (95% CI:1.2-6.5) among those living in single unit dwellings. Among participants living in multi-unit dwellings, the aOR for COVID-19 hospitalization among participants with more than 4 persons in their household (versus 1 person) was 2.5 (95% CI:1.0-6.1), and 0.8 (95% CI:0.15-4.1) among those living in single unit dwellings. CONCLUSION: Early in the US SARS-CoV-2 pandemic, certain household exposures likely increased the risk of both SARS-CoV-2 acquisition and the risk of severe COVID-19 disease.

Menstrual Product Insecurity Resulting From COVID-19‒Related Income Loss, United States, 2020.

Objectives. To identify key effects of the pandemic and its economic consequences on menstrual product insecurity with implications for public health practice and policy. Methods. Study participants (n = 1496) were a subset of individuals enrolled in a national (US) prospective cohort study. Three survey waves were included (March‒October 2020). Menstrual product insecurity outcomes were explored with bivariate associations and logistic regression models to examine the associations between outcomes and income loss. Results. Income loss was associated with most aspects of menstrual product insecurity (adjusted odds ratios from 1.34 to 3.64). The odds of not being able to afford products for those who experienced income loss was 3.64 times (95% confidence interval [CI] = 2.14, 6.19) that of those who had no income loss and 3.95 times (95% CI = 1.78, 8.79) the odds for lower-income participants compared with higher-income participants. Conclusions. Pandemic-related income loss was a strong predictor of menstrual product insecurity, particularly for populations with lower income and educational attainment. Public Health Implications. Provision of free or subsidized menstrual products is needed by vulnerable populations and those most impacted by pandemic-related income loss.(Am J Public Health. 2022;112(4):675-684. (https://doi.org/10.2105/AJPH.2021.306674).

Bullying and lifetime asthma among children and adolescents in the United States.

PURPOSE: To examine the association of experiencing bullying within the past year with the prevalence of lifetime childhood asthma in U.S. children and adolescents; and whether this association varies with sex of the child and selected socioeconomic indicators. METHODS: We performed secondary analyses using data from the 2018 National Survey of Children's Health participants aged 6 to 17 years (n=19,766). We used log-binomial regression to examine the association between bullying and lifetime childhood asthma before and after controlling for selected covariates. We also tested interactions of bullying with sex and selected socioeconomic indicators. RESULTS: Children who experience bullying have a significantly greater probability of having asthma in adjusted analyses. The probability of childhood asthma increased with the frequency of bullying with prevalence ratios starting at 1.28 (95%CI:1.06, 1.55) for children bullied one to two times per year to 1.59 (95%:1.22, 2.09) for those being bullied at least four times per month. This association did not differ with sex of the child or selected socioeconomic indicators. CONCLUSIONS: We found that children who experienced bullying had a greater probability of having asthma relative to those who never experienced bullying. These findings highlight the impact of psychosocial stressors such as bullying as a nontraditional trigger in children with asthma.

Determinants and Trends of COVID-19 Vaccine Hesitancy and Vaccine Uptake in a National Cohort of US Adults: A Longitudinal Study.

We estimated the trends and correlates of vaccine hesitancy and its association with subsequent vaccine uptake among 5,458 adults in the United States. Participants belonged to the Communities, Households, and SARS-CoV-2 Epidemiology COVID (CHASING COVID) Cohort, a national longitudinal study. Trends and correlates of vaccine hesitancy were examined longitudinally in 8 interview rounds from October 2020 to July 2021. We also estimated the association between willingness to vaccinate and subsequent vaccine uptake through July 2021. Vaccine delay and refusal decreased from 51% and 8% in October 2020 to 8% and 6% in July 2021, respectively. Compared with non-Hispanic (NH) White participants, NH Black and Hispanic participants had higher adjusted odds ratios (aOR) for both vaccine delay (for NH Black, aOR = 2.0 (95% confidence interval (CI): 1.5, 2.7), and for Hispanic, 1.3 (95% CI: 1.0, 1.7)) and vaccine refusal (for NH Black, aOR = 2.5 (95% CI: 1.8, 3.6), and for Hispanic, 1.4 (95% CI: 1.0, 2.0)) in June 2021. COVID-19 vaccine hesitancy, compared with vaccine-willingness, was associated with lower odds of subsequent vaccine uptake (for vaccine delayers, aOR = 0.15, 95% CI: 0.13, 0.18; for vaccine refusers, aOR = 0.02; 95% CI: 0.01, 0.03 ), adjusted for sociodemographic factors and COVID-19 history. Vaccination awareness and distribution efforts should focus on vaccine delayers.

Racial/ethnic disparities in exposure to COVID-19, susceptibility to COVID-19 and access to health care - findings from a U.S. national cohort.

We examined the influence of racial/ethnic differences in socioeconomic position on COVID-19 seroconversion and hospitalization within a community-based prospective cohort enrolled in March 2020 and followed through October 2021 (N=6740). The ability to social distance as a measure of exposure to COVID-19, susceptibility to COVID-19 complications, and access to healthcare varied by race/ethnicity with non-white participants having more exposure risk and more difficulty with healthcare access than white participants. Participants with more (versus less) exposure had greater odds of seroconversion (aOR:1.64, 95% Confidence Interval [CI] 1.18-2.29). Participants with more susceptibility and more barriers to healthcare had greater odds of hospitalization (respective aOR:2.36; 1.90-2.96 and 2.31; 1.69-2.68). Race/ethnicity positively modified the association between susceptibility and hospitalization (aORnon-White:2.79, 2.06-3.78). Findings may explain the disproportionate burden of COVID-19 infections and complications among Hispanic and non-Hispanic Black persons. Primary and secondary prevention efforts should address disparities in exposure, COVID-19 vaccination, and treatment.

Patterns of SARS-CoV-2 Testing Preferences in a National Cohort in the United States: Latent Class Analysis of a Discrete Choice Experiment.

BACKGROUND: Inadequate screening and diagnostic testing in the United States throughout the first several months of the COVID-19 pandemic led to undetected cases transmitting disease in the community and an underestimation of cases. Though testing supply has increased, maintaining testing uptake remains a public health priority in the efforts to control community transmission considering the availability of vaccinations and threats from variants. OBJECTIVE: This study aimed to identify patterns of preferences for SARS-CoV-2 screening and diagnostic testing prior to widespread vaccine availability and uptake. METHODS: We conducted a discrete choice experiment (DCE) among participants in the national, prospective CHASING COVID (Communities, Households, and SARS-CoV-2 Epidemiology) Cohort Study from July 30 to September 8, 2020. The DCE elicited preferences for SARS-CoV-2 test type, specimen type, testing venue, and result turnaround time. We used latent class multinomial logit to identify distinct patterns of preferences related to testing as measured by attribute-level part-worth utilities and conducted a simulation based on the utility estimates to predict testing uptake if additional testing scenarios were offered. RESULTS: Of the 5098 invited cohort participants, 4793 (94.0%) completed the DCE. Five distinct patterns of SARS-CoV-2 testing emerged. Noninvasive home testers (n=920, 19.2% of participants) were most influenced by specimen type and favored less invasive specimen collection methods, with saliva being most preferred; this group was the least likely to opt out of testing. Fast-track testers (n=1235, 25.8%) were most influenced by result turnaround time and favored immediate and same-day turnaround time. Among dual testers (n=889, 18.5%), test type was the most important attribute, and preference was given to both antibody and viral tests. Noninvasive dual testers (n=1578, 32.9%) were most strongly influenced by specimen type and test type, preferring saliva and cheek swab specimens and both antibody and viral tests. Among hesitant home testers (n=171, 3.6%), the venue was the most important attribute; notably, this group was the most likely to opt out of testing. In addition to variability in preferences for testing features, heterogeneity was observed in the distribution of certain demographic characteristics (age, race/ethnicity, education, and employment), history of SARS-CoV-2 testing, COVID-19 diagnosis, and concern about the pandemic. Simulation models predicted that testing uptake would increase from 81.6% (with a status quo scenario of polymerase chain reaction by nasal swab in a provider's office and a turnaround time of several days) to 98.1% by offering additional scenarios using less invasive specimens, both viral and antibody tests from a single specimen, faster turnaround time, and at-home testing. CONCLUSIONS: We identified substantial differences in preferences for SARS-CoV-2 testing and found that offering additional testing options would likely increase testing uptake in line with public health goals. Additional studies may be warranted to understand if preferences for testing have changed since the availability and widespread uptake of vaccines.

Public restrooms, periods, and people experiencing homelessness: An assessment of public toilets in high needs areas of Manhattan, New York.

Access to safe, clean water and sanitation is globally recognized as essential for public health. Public toilets should be accessible to all members of a society, without social or physical barriers preventing usage. A public toilet facility's design and upkeep should offer privacy and safety, ensure cleanliness, provide required sanitation-related resources, and be gender equitable, including enabling comfortable and safe management of menstruation. Menstrual hygiene management (MHM) refers to the need to ensure that girls, women and all people who menstruate have access to clean menstrual products, privacy to change the materials as often as needed, soap and water for washing the body as required, and access to facilities to dispose of used materials. Challenges around menstruation faced by people experiencing homelessness, which tend to be greater than those facing the general population, include inadequate toilet and bathing facilities, affordability issues around menstrual products, and menstrual stigma. Public toilets are a vital resource for managing menstruation, particularly for vulnerable populations without reliable access to private, safe, and clean spaces and menstrual products. This mixed-methods study sought to: 1) understand the lived experiences of MHM among people experiencing homelessness in New York City with respect to public toilets; 2) describe general and MHM-related characteristics of public toilets in high need areas of Manhattan and analyze their interrelationships; and 3) examine the associations among neighborhood-level demographics and the public toilet characteristics in those areas. Qualitative methods included key informant interviews (n = 15) and in-depth interviews (n = 22) with people with experience living on the street or in shelters, which were analyzed using Malterud's 'systematic text condensation' for thematic cross-case analysis. Quantitative methods included audits and analyses of public toilet facilities (n = 25) using traditional statistics (e.g., Spearman's correlations) and spatial analyses (e.g., proximity buffers). Qualitative findings suggest cleanliness, access to restrooms, and availability of resources are critical issues for the participants or prospective users. Quantitative analyses revealed insufficiently provided, maintained, and resourced public toilets for managing menstruation in high-needs areas. Findings also suggest that toilets with more MHM-related resource availability, such as menstrual products and toilet stall disposal bins, were more difficult to access. Neighborhood-level characteristics showed a potential environmental injustice, as areas characterized by higher socioeconomic status are associated with more access to MHM-specific resources in public restrooms, as well as better overall quality.

Neighborhood social cohesion and viral suppression after HIV diagnosis.

Social cohesion has varying effects on health. We investigated the association of perceived neighborhood social cohesion with HIV viral suppression using individual-level data from the New York City HIV registry and surveillance-based interviews (n = 92). Suppression was achieved within 12 months of HIV diagnosis by 60 percent of persons perceiving low cohesion and 71 percent of those perceiving high (p = 0.31). Controlling for demographic and clinical characteristics and neighborhood poverty, per proportional hazards regression, cohesion was not associated with suppression (adjusted hazards ratio (95% confidence interval) for high versus low cohesion: 0.79 (0.49-1.28)). Cohesion may have heterogeneous effects on HIV medication adherence.

Household factors and the risk of severe COVID-like illness early in the US pandemic.

OBJECTIVE: To investigate the role of children in the home and household crowding as risk factors for severe COVID-19 disease. METHODS: We used interview data from 6,831 U.S. adults screened for the Communities, Households and SARS/CoV-2 Epidemiology (CHASING) COVID Cohort Study in April 2020. RESULTS: In logistic regression models, the adjusted odds ratio [aOR] of hospitalization due to COVID-19 for having (versus not having) children in the home was 10.5 (95% CI:5.7-19.1) among study participants living in multi-unit dwellings and 2.2 (95% CI:1.2-6.5) among those living in single unit dwellings. Among participants living in multi-unit dwellings, the aOR for COVID-19 hospitalization among participants with more than 4 persons in their household (versus 1 person) was 2.5 (95% CI:1.0-6.1), and 0.8 (95% CI:0.15-4.1) among those living in single unit dwellings. CONCLUSION: Early in the US SARS-CoV-2 pandemic, certain household exposures likely increased the risk of both SARS-CoV-2 acquisition and the risk of severe COVID-19 disease.

Testing, Testing: What SARS-CoV-2 testing services do adults in the United States actually want?

Importance: Ascertaining preferences for SARS-CoV-2 testing and incorporating findings into the design and implementation of strategies for delivering testing services may enhance testing uptake and engagement, a prerequisite to reducing onward transmission. Objective: To determine important drivers of decisions to obtain a SARS-CoV-2 test in the context of increasing community transmission. Design : A discrete choice experiment (DCE) was used to assess the relative importance of type of SARS-CoV-2 test, specimen type, testing venue, and results turnaround time. Uptake of an optimized testing scenario was simulated relative to the current typical testing scenario of polymerase chain reaction (PCR) via nasopharyngeal (NP) swab in a provider office or urgent care clinic with results in >5 days. Setting: ​ Online survey, embedded in an existing cohort study, conducted during July 30 - September 8, 2020. Participants: ​Participants (n=4,793) were enrolled in the CHASING COVID Cohort Study, a national longitudinal cohort of adults >18 years residing in the 50 US states, Washington, DC, Puerto Rico, or Guam. Main Outcome(s) and Measure(s): Relative importance of SARS-CoV-2 testing method attributes, utilities of specific attribute levels, and probability of choosing a testing scenario based on preferences estimated from the DCE, the current typical testing option, or choosing not to test. Results: ​Turnaround time for test results had the highest relative importance (30.4%), followed by test type (28.3%), specimen type (26.2%), and venue (15.0%). Participants preferred fast results on both past and current infection and using a noninvasive specimen, preferably collected at home. Simulations suggested that providing immediate or same day test results, providing both PCR and serology, or collecting oral specimens would substantially increase testing uptake over the current typical testing option. Simulated uptake of a hypothetical testing scenario of PCR and serology via a saliva sample at a pharmacy with same day results was 97.7%, compared to 0.6% for the current typical testing scenario, with 1.8% opting for no test. Conclusions and Relevance: ​Testing strategies that offer both PCR and serology with non-invasive methods and rapid turnaround time would likely have the most uptake and engagement among residents in communities with increasing community transmission of SARS-CoV-2.

Change in an urban food environment within a single year: Considerations for food-environment research and community health.

Past research on food-environment change has been limited in key ways: (1) considering only select storefront businesses; (2) presuming items sold based on businesses category; (3) describing change only in ecological terms; (4) considering multi-year intervals. The current study addressed past limitations by: (1) considering a full range of both storefront and non-storefront businesses; (2) focusing on items actually offered (both healthful and less-healthful varieties); (3) describing individual-business-level changes (openings, closings, changes in offerings); (4) evaluating changes within a single year. Using a longitudinal, matched-pair comparison of 119 street segments in the Bronx, NY (October 2016-August 2017), investigators assessed all businesses-food stores, restaurants, other storefront businesses (OSBs), street vendors-for healthful and less-healthful food/drink offerings. Changes were described for individual businesses, individual street segments, and for the area overall. Overall, the number (and percentage) of businesses offering any food/drink increased from 45 (41.7%) in 2016 to 49 (45.8%) in 2017; businesses newly opening or newly offering food/drink cumulatively exceeded those shutting down or ceasing food/drink sales. In 2016, OSBs (gyms, barber shops, laundromats, furniture stores, gas stations, etc.) together with street vendors represented 20.0% and 27.3% of businesses offering healthful and less-healthful items, respectively; in 2017, the percentages were 31.0% and 37.0%. While the number of businesses offering healthful items increased, the number offering less-healthful items likewise increased and remained greater. If change in a full range of food/drink availability is not appreciated: food-environment studies may generate erroneous conclusions; communities may misdirect resources to address food-access disparities; and community residents may have increasing, but unrecognized, opportunities for unhealthful consumption.

COVID-19 and Inequity: a Comparative Spatial Analysis of New York City and Chicago Hot Spots.

There have been numerous reports that the impact of the ongoing COVID-19 epidemic has disproportionately impacted traditionally vulnerable communities associated with neighborhood attributes, such as the proportion of racial and ethnic minorities, migrants, and the lower income households. The goal of this ecological cross-sectional study is to examine the demographic and economic nature of spatial hot and cold spots of SARS-CoV-2 rates in New York City and Chicago as of April 13, 2020 using data from the New York City Department of Health and Mental Hygiene, Illinois Department of Public Health, and the American Community Survey. In both cities, cold spots (clusters of low SARS-CoV-2 rate ZIP code tabulation areas as identified by the Getis-Ord (GI*) statistic) demonstrated social determinants of health characteristics typically associated with better health outcomes and the ability to maintain physical distance ("social distancing"). These neighborhoods tended to be wealthier, have higher educational attainment, higher proportions of non-Hispanic white residents, and more workers in managerial occupations (all p values < 0.01 using Wilcoxon two-sample test). Hot spots (clusters of high SARS-CoV-2 rate ZIP code tabulation areas) had similarities as well, such as lower rates of college graduates and higher proportions of people of color. It also appears that household size (more people per household), rather than overall population density (people per square mile), is more strongly associated with hot spots. New York City had an average of 3.0 people per household in hot spots and 2.1 in cold spots (p < 0.01), and Chicago had 2.8 people per household in hot spots and 2.0 in cold spots (p = 0.03). However, hotspots were located in neighborhoods that were significantly less dense (New York City: 22,900 people per square mile in hot spots and 68,900 in cold spots (p < 0.01); Chicago: 10,000 people per square mile in hot spots and 23,400 in cold spots (p = 0.03)). Findings suggest important differences between the cities' hot spots as well. NYC hot spots can be described as working-class and middle-income communities, perhaps indicative of greater concentrations of service workers and other occupations (including those classified as "essential services" during the pandemic) that may not require a college degree but pay wages above poverty levels. Chicago's hot spot neighborhoods, on the other hand, are among the city's most vulnerable, low-income neighborhoods with extremely high rates of poverty, unemployment, and non-Hispanic Black residents.

Healthful and less-healthful foods and drinks from storefront and non-storefront businesses: implications for 'food deserts', 'food swamps' and food-source disparities.

OBJECTIVE: Conceptualisations of 'food deserts' (areas lacking healthful food/drink) and 'food swamps' (areas overwhelm by less-healthful fare) may be both inaccurate and incomplete. Our objective was to more accurately and completely characterise food/drink availability in urban areas. DESIGN: Cross-sectional assessment of select healthful and less-healthful food/drink offerings from storefront businesses (stores, restaurants) and non-storefront businesses (street vendors). SETTING: Two areas of New York City: the Bronx (higher-poverty, mostly minority) and the Upper East Side (UES; wealthier, predominantly white). PARTICIPANTS: All businesses on 63 street segments in the Bronx (n 662) and on 46 street segments in the UES (n 330). RESULTS: Greater percentages of businesses offered any, any healthful, and only less-healthful food/drink in the Bronx (42·0 %, 37·5 %, 4·4 %, respectively) than in the UES (30 %, 27·9 %, 2·1 %, respectively). Differences were driven mostly by businesses (e.g. newsstands, gyms, laundromats) not primarily focused on selling food/drink - 'other storefront businesses' (OSBs). OSBs accounted for 36·0 % of all food/drink-offering businesses in the Bronx (more numerous than restaurants or so-called 'food stores') and 18·2 % in the UES (more numerous than 'food stores'). Differences also related to street vendors in both the Bronx and the UES. If street vendors and OSBs were not captured, the missed percentages of street segments offering food/drink would be 14·5 % in the Bronx and 21·9 % in the UES. CONCLUSIONS: Of businesses offering food/drink in communities, OSBs and street vendors can represent substantial percentages. Focusing on only 'food stores' and restaurants may miss or mischaracterise 'food deserts', 'food swamps', and food/drink-source disparities between communities.

Patterns of SARS-CoV-2 testing preferences in a national cohort in the United States.

In order to understand preferences about SARS-CoV-2 testing, we conducted a discrete choice experiment among 4793 participants in the Communities, Households, and SARS-CoV-2 Epidemiology (CHASING COVID) Cohort Study from July 30-September 8, 2020. We used latent class analysis to identify distinct patterns of preferences related to testing and conducted a simulation to predict testing uptake if additional testing scenarios were offered. Five distinct patterns of SARS-CoV-2 testing emerged. "Comprehensive testers" (18.9%) ranked specimen type as most important and favored less invasive specimen types, with saliva most preferred, and also ranked venue and result turnaround time as highly important, with preferences for home testing and fast result turnaround time. "Fast track testers" (26.0%) ranked result turnaround time as most important and favored immediate and same day turnaround time. "Dual testers" (18.5%) ranked test type as most important and preferred both antibody and viral tests. "Non-invasive dual testers" (33.0%) ranked specimen type and test type as similarly most important, preferring cheek swab specimen type and both antibody and viral tests. "Home testers" (3.6%) ranked venue as most important and favored home-based testing. By offering less invasive (saliva specimen type), dual testing (both viral and antibody tests), and at home testing scenarios in addition to standard testing scenarios, simulation models predicted that testing uptake would increase from 81.7% to 98.1%. We identified substantial differences in preferences for SARS-CoV-2 testing and found that offering additional testing options, which consider this heterogeneity, would likely increase testing uptake. SIGNIFICANCE: During the COVID-19 pandemic, diagnostic testing has allowed for early detection of cases and implementation of measures to reduce community transmission of SARS-CoV-2 infection. Understanding individuals' preferences about testing and the service models that deliver tests are relevant in efforts to increase and sustain uptake of SARS-CoV-2 testing, which, despite vaccine availability, will be required for the foreseeable future. We identified substantial differences in preferences for SARS-CoV-2 testing in a discrete choice experiment among a large national cohort of adults in the US. Offering additional testing options that account for or anticipate this heterogeneity in preferences (e.g., both viral and antibody tests, at home testing), would likely increase testing uptake. CLASSIFICATION: Biological Sciences (major); Psychological and Cognitive Sciences (minor).

Government data v. ground observation for food-environment assessment: businesses missed and misreported by city and state inspection records.

OBJECTIVE: To assess the accuracy of government inspection records, relative to ground observation, for identifying businesses offering foods/drinks. DESIGN: Agreement between city and state inspection records v. ground observations at two levels: businesses and street segments. Agreement could be 'strict' (by business name, e.g. 'Rizzo's') or 'lenient' (by business type, e.g. 'pizzeria'); using sensitivity and positive predictive value (PPV) for businesses and using sensitivity, PPV, specificity and negative predictive value (NPV) for street segments. SETTING: The Bronx and the Upper East Side (UES), New York City, USA. PARTICIPANTS: All food/drink-offering businesses on sampled street segments (n 154 in the Bronx, n 51 in the UES). RESULTS: By 'strict' criteria, sensitivity and PPV of government records for food/drink-offering businesses were 0·37 and 0·57 in the Bronx; 0·58 and 0·60 in the UES. 'Lenient' values were 0·40 and 0·62 in the Bronx; 0·60 and 0·62 in the UES. Sensitivity, PPV, specificity and NPV of government records for street segments having food/drink-offering businesses were 0·66, 0·73, 0·84 and 0·79 in the Bronx; 0·79, 0·92, 0·67, and 0·40 in the UES. In both areas, agreement varied by business category: restaurants; 'food stores'; and government-recognized other storefront businesses ('gov. OSB', i.e. dollar stores, gas stations, pharmacies). Additional business categories - 'other OSB' (barbers, laundromats, newsstands, etc.) and street vendors - were absent from government records; together, they represented 28·4 % of all food/drink-offering businesses in the Bronx, 22·2 % in the UES ('other OSB' and street vendors were sources of both healthful and less-healthful foods/drinks in both areas). CONCLUSIONS: Government records frequently miss or misrepresent businesses offering foods/drinks, suggesting caveats for food-environment assessments using such records.

The association between county-level safety net treatment access and opioid hospitalizations and mortality in New York.

BACKGROUND: Increases in pharmaceutical opioid sales have paralleled the quadrupling of prescription opioid overdose deaths and spikes in emergency department visits for non-medical opioid prescription overdoses. In response, federal and state governments have advanced a myriad of policies to reduce opioid availability and increase treatment access, aimed to ultimately reduce opioid-related mortality. Despite these efforts, including ACA Medicaid expansion and more robust prescription drug monitoring programs, opioid-related mortality has continued to rise in NY and 29 other states. This study examined whether geographic access to Federally Qualified Health Centers, opioid treatment programs, and buprenorphine providers mitigated opioid-related hospital visits (emergency department, inpatient, and all visits) and mortality, by county, between 2012 and 2014. METHODS: The authors examined the relationships among opioid-related health outcomes and geographic access to treatment options using spatial error regression models at the county (n = 62) level in 2012 and 2014. Z-tests further assessed significant differences in access coefficients between 2012 and 2014. RESULTS: Of the 62 counties in New York State in 2014, 54 (87.1%) showed increased opioid overdose-related emergency department rates (t = 9.125, p < 0.001), and 37 (59.7%) showed mortality rate increases (t = 1.687, p < 0.1), compared to 2012. Regression models demonstrated significant negative relationships between county-level opioid-related mortality rates and geographic access to opioid treatment programs, Federally Qualified Health Centers in both 2012 and 2014 and buprenorphine providers concentration in 2014 while adjusting for county socio-demographics (all p values < 0.05). Access coefficients were not significantly different between 2012 and 2014 (p > 0.05). CONCLUSIONS: Greater geographic access to treatment services was protective against opioid-related mortality. Access to opioid treatment may not be sufficient to mitigate opioid-related hospital visits or mortality, but may offset climbing mortality rates in select counties.