Associations Between Food Insufficiency and Health Conditions Among New York City Adults, 2017-2018.

Food insecurity, a critical social determinant of health, has been measured nationwide in the United States for years. This analysis focuses on food insufficiency, a more severe form of food insecurity, in New York City (NYC) and its association with self-reported physical and mental health conditions. Data from the 2017-2018 NYC Community Health Survey were used to estimate the prevalence of food insufficiency citywide, by neighborhood, and across selected socioeconomic characteristics. Multivariable logistic regression was used to explore the associations between food insufficiency and hypertension, diabetes obesity, and depression, adjusting for selected sociodemographic characteristics. Approximately 9.4% (95% CI:8.8-10.0%]) of adult New Yorkers aged 18 + reported food insufficiency, with neighborhood variation from 1.7% (95% CI:0.5-6.2%) to 19.4% (95% CI:14.2-25.8%). Food insufficiency was more prevalent among Latinos/as (16.9%, 95% CI:15.5-18.3%, p < 0.001), Black (10.1%, 95% CI:8.8-11.5%, p < 0.001) and Asian/Pacific Islanders (6.6%, 95% CI:5.4-8.1%, p = 0.002) compared to White New Yorkers (4.2%, 95% CI:3.5-5.1%). Prevalence of food insufficiency was higher among NYC adults with less than a high school education, (19.6%, 95% CI:17.7-21.6%), compared to college graduates (3.8%, 95% CI:3.2-4.4%, p < 0.001). In the adjusted logistic regression model, food insufficiency was associated with diabetes (OR = 1.36; 95% CI:1.12-1.65), hypertension (OR = 1.58; 95% CI:1.32-1.89]) and depression (OR = 2.98; 95% CI:2.45-3.59), but not with obesity (OR = 0.99; 95% CI:0.84-1.21). Our findings highlight food insufficiency at an important intersection of inequity and disease burden which is critical to informing public health interventions in the context of a large, densely populated metropolis like NYC.

Dynamic residential movement and depression among the World Trade Center Health Registry enrollees.

PURPOSE: Residential instability is associated with poor mental health, but its causal inference is challenging due to time-varying exposure and confounding, and the role of changing social environments. We tested the association between frequent residential moving and depression risk among adults exposed to the 9/11 disaster. METHODS: We used four waves of survey data from the World Trade Center Health Registry. We measured residential movement and depression using geocoded annual address records and the Personal Health Questionnaire Depression Scale, respectively, for a prospective cohort of 38,495 adults. We used the longitudinal Targeted Maximum Likelihood Method to estimate depression risk by frequent residential moving and conducted causal mediation analysis to evaluate a mediating role of social environments. RESULTS: Most enrollees (68%) did not move in 2007-2014, and 6% moved at least once every 4 years. The remaining 26% moved less frequently (e.g., only moving in 2007-2010). Frequent moving versus no moving was associated with risk of depression in 2015-16 (RR = 1.20, 95% CI = 1.06, 1.37). Frequent residential moving-depression pathway was mediated by high social integration (OR = 0.93, 95% CI = 0.90, 0.97). CONCLUSION: These findings demonstrate the importance of social networks in understanding increased risk of depression associated with housing instability.

Population-Based Estimates of Coronavirus Disease 2019 (COVID-19)-like Illness, COVID-19 Illness, and Rates of Case Ascertainment, Hospitalizations, and Deaths-Noninstitutionalized New York City Residents, March-April 2020.

Using a population-based, representative telephone survey, ~930 000 New York City residents had COVID-19 illness beginning 20 March-30 April 2020, a period with limited testing. For every 1000 persons estimated with COVID-19 illness, 141.8 were tested and reported as cases, 36.8 were hospitalized, and 12.8 died, varying by demographic characteristics.

Detection of Avian Influenza A(H7N2) Virus Infection Among Animal Shelter Workers Using a Novel Serological Approach-New York City, 2016-2017.

BACKGROUND: In 2016, an influenza A(H7N2) virus outbreak occurred in cats in New York City's municipal animal shelters. One human infection was initially detected. METHODS: We conducted a serological survey using a novel approach to rule out cross-reactive antibodies to other seasonal influenza viruses to determine whether additional A(H7N2) human infections had occurred and to assess exposure risk. RESULTS: Of 121 shelter workers, one had serological evidence of A(H7N2) infection, corresponding to a seroprevalence of 0.8% (95% confidence interval, .02%-4.5%). Five persons exhibited low positive titers to A(H7N2) virus, indicating possible infection; however, we could not exclude cross-reactive antibody responses to seasonal influenza viruses. The remaining 115 persons were seronegative. The seropositive person reported multiple direct cat exposures without using personal protective equipment and mild illness with subjective fever, runny nose, and sore throat. CONCLUSIONS: We identified a second case of A(H7N2) infection from this outbreak, providing further evidence of cat-to-human transmission of A(H7N2) virus.

Treatment and outcomes in children with multidrug-resistant tuberculosis: A systematic review and individual patient data meta-analysis.

BACKGROUND: An estimated 32,000 children develop multidrug-resistant tuberculosis (MDR-TB; Mycobacterium tuberculosis resistant to isoniazid and rifampin) each year. Little is known about the optimal treatment for these children. METHODS AND FINDINGS: To inform the pediatric aspects of the revised World Health Organization (WHO) MDR-TB treatment guidelines, we performed a systematic review and individual patient data (IPD) meta-analysis, describing treatment outcomes in children treated for MDR-TB. To identify eligible reports we searched PubMed, LILACS, Embase, The Cochrane Library, PsychINFO, and BioMedCentral databases through 1 October 2014. To identify unpublished data, we reviewed conference abstracts, contacted experts in the field, and requested data through other routes, including at national and international conferences and through organizations working in pediatric MDR-TB. A cohort was eligible for inclusion if it included a minimum of three children (aged <15 years) who were treated for bacteriologically confirmed or clinically diagnosed MDR-TB, and if treatment outcomes were reported. The search yielded 2,772 reports; after review, 33 studies were eligible for inclusion, with IPD provided for 28 of these. All data were from published or unpublished observational cohorts. We analyzed demographic, clinical, and treatment factors as predictors of treatment outcome. In order to obtain adjusted estimates, we used a random-effects multivariable logistic regression (random intercept and random slope, unless specified otherwise) adjusted for the following covariates: age, sex, HIV infection, malnutrition, severe extrapulmonary disease, or the presence of severe disease on chest radiograph. We analyzed data from 975 children from 18 countries; 731 (75%) had bacteriologically confirmed and 244 (25%) had clinically diagnosed MDR-TB. The median age was 7.1 years. Of 910 (93%) children with documented HIV status, 359 (39%) were infected with HIV. When compared to clinically diagnosed patients, children with confirmed MDR-TB were more likely to be older, to be infected with HIV, to be malnourished, and to have severe tuberculosis (TB) on chest radiograph (p < 0.001 for all characteristics). Overall, 764 of 975 (78%) had a successful treatment outcome at the conclusion of therapy: 548/731 (75%) of confirmed and 216/244 (89%) of clinically diagnosed children (absolute difference 14%, 95% confidence interval [CI] 8%-19%, p < 0.001). Treatment was successful in only 56% of children with bacteriologically confirmed TB who were infected with HIV who did not receive any antiretroviral treatment (ART) during MDR-TB therapy, compared to 82% in children infected with HIV who received ART during MDR-TB therapy (absolute difference 26%, 95% CI 5%-48%, p = 0.006). In children with confirmed MDR-TB, the use of second-line injectable agents and high-dose isoniazid (15-20 mg/kg/day) were associated with treatment success (adjusted odds ratio [aOR] 2.9, 95% CI 1.0-8.3, p = 0.041 and aOR 5.9, 95% CI 1.7-20.5, p = 0.007, respectively). These findings for high-dose isoniazid may have been affected by site effect, as the majority of patients came from Cape Town. Limitations of this study include the difficulty of estimating the treatment effects of individual drugs within multidrug regimens, only observational cohort studies were available for inclusion, and treatment decisions were based on the clinician's perception of illness, with resulting potential for bias. CONCLUSIONS: This study suggests that children respond favorably to MDR-TB treatment. The low success rate in children infected with HIV who did not receive ART during their MDR-TB treatment highlights the need for ART in these children. Our findings of individual drug effects on treatment outcome should be further evaluated.

Using Reports of Latent Tuberculosis Infection Among Young Children to Identify Tuberculosis Transmission in New York City, 2006-2012.

The presence of latent tuberculosis infection (LTBI) in young children indicates recent tuberculosis (TB) transmission. We reviewed surveillance reports of children with LTBI to assess whether more follow-up is needed to prevent TB in this high-risk population. Data on all children under 5 years of age who were reported by health-care providers or laboratories to the New York City Department of Health during 2006-2012 were abstracted from the TB surveillance and case management system, and those with LTBI were identified. Potential source cases, defined as any infectious TB case diagnosed in the 2 years before a child was reported and whose residence was within 0.5 miles (0.8 km) of the child's residence, were identified. Neighborhood risk factors for TB transmission were examined. Among 3,511 reports of children under age 5 years, 1,722 (49%) had LTBI. The children were aged 2.9 years, on average, and most (64%) had been born in the United States. A potential source case was identified for 92% of the children; 27 children lived in the same building as a TB patient. Children with potential source cases were more likely to reside in neighborhoods with high TB incidence, poverty, and population density. The high proportion of children born in the United States and the young average age of the cases imply that undetected TB transmission occurred. Monitoring reports could be used to identify places where transmission occurred, and additional investigation is needed to prevent TB disease.

Low dose intramuscular methadone for acute mild to moderate opioid withdrawal syndrome.

STUDY OBJECTIVE: To assess the efficacy of 10mg intramuscular (IM) methadone in patients with opioid withdrawal syndrome (OWS). METHODS: This was a prospective observational, convenience sample of patients presenting to the ED with mild to moderate OWS. Evaluations included the Clinical Opiate Withdrawal Scale (COWS), Withdrawal Symptoms Scale (WSS), Altered Mental Status Scale (AMSS) and a physician assessment of the patient's WSS (MDWSS). After enrollment, 10mg of IM methadone was administered and patients were reassessed at 30min post-methadone administration. The primary outcome was the change in COWS at baseline and after methadone administration. Secondary outcomes were the differences between AMSS, and WSS post-methadone. RESULTS: Fifty-seven patients had COWS scores recorded at baseline and 30min. Fifty-six had mild to moderate OWS. The COWS improved a mean of 7.6 after methadone administration (P<0.001). The improvement was greater among patients presenting with moderate versus mild withdrawal (mean decrease=-9.1 vs. -5.5, P<0.001). Patients were more likely to self-score themselves as having withdrawal compared to MDs (93.6% vs. 76.6% respectively, P=0.027). Of the 62 patients with baseline and follow-up WSS by self-assessments, 69% improved post-methadone administration. In addition, the AMSS score remained the same or improved among 86% of cases with measurements at baseline and follow-up. CONCLUSION: A single IM dose of 10mg methadone in the ED reduces the severity of acute mild to moderate OWS by 30min. Larger prospective, randomized controlled, and blinded studies would be needed to confirm these results.

Long-term Mortality of Patients With Tuberculous Meningitis in New York City: A Cohort Study.

Background: Tuberculous meningitis (TBM) is the most devastating clinical presentation of infection with Mycobacterium tuberculosis; delayed initiation of effective antituberculosis therapy is associated with poor treatment outcomes. Our objective was to determine the relationship between drug resistance and 10-year mortality among patients with TBM. Methods: We conducted a retrospective cohort study of 324 patients with culture-confirmed TBM, susceptibility results reported for isoniazid and rifampin, and initiation of at least 2 antituberculosis drugs, reported to the tuberculosis registry in New York City between 1 January 1992 and 31 December 2001. Date of death was ascertained by matching the tuberculosis registry with death certificate data for 1992-2012 from the New York Office of Vital Statistics. Human immunodeficiency virus (HIV) status was ascertained by medical records review, matching with the New York City HIV Surveillance registry, and review of cause of death. Results: Among 257 TBM patients without rifampin-resistant isolates, isoniazid resistance was associated with mortality after the first 60 days of treatment when controlling for age and HIV infection (adjusted hazard ratio, 1.94 [95% confidence interval, 1.08-3.94]). Death occurred before completion of antituberculosis therapy in 63 of 67 TBM patients (94%) with rifampin-resistant disease. Conclusions: Among patients with culture-confirmed TBM, we observed rapid early mortality in patients with rifampin-resistant isolates, and an independent association between isoniazid-resistant isolates and death after 60 days of therapy. These findings support the continued evaluation of rapid diagnostic techniques and the empiric addition of second-line drugs for patients with clinically suspected drug-resistant TBM.

Data on location and retail price of a standard food basket in supermarkets across New York City.

Previous work has suggested that the price of food sold at supermarkets may vary according to the socioeconomic characteristics of a neighborhood. Given the importance of food prices in securing access to food, understanding how food prices vary across neighborhoods is crucial to assessing affordability. To study food pricing in New York City (NYC) a defined standard food basket (SFB) was collected in supermarkets across NYC neighborhoods. A dataset was created that includes pricing data collected in-person for ten pre-determined food items from 163 supermarkets across 71 of the 181 NYC neighborhoods during March through August of 2019. Included in these data are raw and processed pricing data files that illustrate the complexity of standardizing pricing across items. An additional dataset includes neighborhood-level variables of selected socioeconomic and demographic characteristics from the 2014-2018 American Community Survey that is publicly available via the Census API. The pricing data and the data on neighborhood-level characteristics were merged. Basic statistical measures suggest some distributional differences in the price of a SFB by socioeconomic differences between neighborhoods. This database can be used to describe spatial patterns in food pricing in a dense urban setting, while exploring pricing inequities across neighborhoods. In addition, by working with these data, researchers, policy analysts and educators will gain an understanding of the methodologies used to generate pricing data for an SFB.

Marketing Sustainability Analysis of Stores Participating in a Healthier Retail Food Program.

OBJECTIVES: To examine how food retailers completing Shop Healthy NYC, a healthy food retail program, (1) changed availability, placement, and promotion of healthier food immediately after participation and (2) sustained changes 1-year postintervention. METHODS: From 2014 to 2017, stores in 2 high-poverty New York City neighborhoods participated in a low-intensity intervention focused on in-store advertising or a high-intensity intervention to meet 7 criteria related to availability, placement, and promotion of healthy items. Stores were assessed preintervention (Pre), 1-month postintervention (Post 1), and 12-16 months postintervention (Post 2). Analyses were restricted to stores that completed the intervention and were assessed at all time points (n = 64). Changes were compared across time points. RESULTS: Across stores participating in the low-intensity intervention, the ratio of unhealthy-to-healthy ads decreased from Pre to Post 1, and by Post 2 remained improved over baseline. Among stores participating in the high-intensity intervention, the median number of healthy criteria met increased from 3.5 to 6 from Pre to Post 1 and decreased to 5 at Post 2. CONCLUSIONS: Improvements in the marketing and availability, placement, and promotion of healthy products are feasible but may require reinforcement and additional support over time.

Concepts, Characterizations, and Cautions: A Public Health Guide and Glossary for Planning Food Environment Measurement.

Background: There is no singular approach to measuring the food environment suitable for all studies. Understanding terminology, methodology, and common issues is crucial to choosing the best approach. Objective: This review is designed to support a shared understanding so diverse multi-institutional teams engaged in food environment measurement can justify their measurement choices and have informed discussions about reasons for measurement strategies to vary across projects. Methods: This guide defines key terms and provides annotated resources identified as a useful starting point for exploring the food environment literature. The writing team was an academic-practice collaboration, reflecting on the experience of a multi-institutional team focused on retail environments across the US relevant to cardiovascular disease. Results: Terms and annotated resources are divided into three sections: food environment constructs, classification and measures, and errors and strategies to reduce error. Two examples of methods and challenges encountered while measuring the food environment in the context of a US health department are provided. Researchers and practice professionals are directed to the Food Environment Electronic Database Directory (https://www.foodenvironmentdirectory.com/) for comparing available data resources for food environment measurement, focused on the US; this resource incorporates updates informed by user input and literature reviews. Discussion: Measuring the food environment is complex and risks oversimplification. This guide serves as a starting point but only partially captures some aspects of neighborhood food environment measurement. Conclusions: No single food environment measure or data source meets all research and practice objectives. This shared starting point can facilitate theoretically grounded food environment measurement.

Can changing neighborhoods influence mental health? An ecological analysis of gentrification and neighborhood-level serious psychological distress-New York City, 2002-2015.

Neighborhood conditions influence people's health; sustaining healthy neighborhoods is a New York City (NYC) Health Department priority. Gentrification is characterized by rapid development in historically disinvested neighborhoods. The gentrification burden, including increased living expenses, and disrupted social networks, disproportionally impacts certain residents. To ultimately target health promotion interventions, we examined serious psychological distress time trends in gentrifying NYC neighborhoods to describe the association of gentrification and mental health overall and stratified by race and ethnicity. We categorized NYC neighborhoods as hypergentrifying, gentrifying, and not-gentrifying using a modified New York University Furman Center index. Neighborhoods with ≥100% rent growth were hypergentrifying; neighborhoods with greater than median and <100% rent growth were gentrifying; and neighborhoods with less than median rent growth were not-gentrifying. To temporally align neighborhood categorization closely with neighborhood-level measurement of serious psychological distress, data during 2000-2017 were used to classify neighborhood type. We calculated serious psychological distress prevalence among adult populations using data from 10 NYC Community Health Surveys during 2002-2015. Using joinpoint and survey-weighted logistic regression, we analyzed serious psychological distress prevalence time trends during 2002-2015 by gentrification level, stratified by race/ethnicity. Among 42 neighborhoods, 7 were hypergentrifying, 7 were gentrifying, and 28 were not gentrifying. In hypergentrifying neighborhoods, serious psychological distress prevalence decreased among White populations (8.1% to 2.3%, ß = -0.77, P = 0.02) and was stable among Black (4.6% to 6.9%, ß = -0.01, P = 0.95) and Latino populations (11.9% to 10.4%, ß = -0.16, P = 0.31). As neighborhoods gentrified, different populations were affected differently. Serious psychological distress decreased among White populations in hypergentrifying neighborhoods, no similar reductions were observed among Black and Latino populations. This analysis highlights potential unequal mental health impacts that can be associated with gentrification-related neighborhood changes. Our findings will be used to target health promotion activities to strengthen community resilience and to ultimately guide urban development policies.

Racial and Ethnic Disparities in COVID-19-Like Illness and Impacts of Social Distancing and Working from Home.

Objectives: To examine racial and ethnic disparities in COVID-19-like illness (CLI) during March - August 2020 in New York City, and to test effect modification by age, nativity, and working from home vs outside the home, and mediation via social distancing behavior. Design: Analysis of the monthly Community Health Survey datasets. Setting: New York City. Participants: 5,305 adults living in New York City. Main Outcome Measures: A binary indicator of having new onset of CLI in the past 30 days. Methods: Prevalence of having CLI was compared among racial and ethnic groups using multivariable log-linear regression. Stratified and causal mediation analyses were conducted to test effect modification and mediation, respectively. Results: Overall percentage of CLI decreased from 25% during March-May to 14% during June-August. In both periods, there was no increased prevalence of CLI among Black or Latino New Yorkers compared with White New Yorkers. However, in stratified analyses, Latino vs White New Yorkers had 2.05 times (95%CI=1.09, 3.83) higher prevalence of CLI among adults working outside the home. Mediation via social distancing was not statistically significant. Conclusions: Excess burden of CLI among Latino adults working outside the home underscores inequitable impacts of COVID-19 in New York City.

The impact of monitoring tuberculosis reporting delays in New York City.

Public health departments rely on the timely receipt of tuberculosis (TB) reports to promptly initiate patient management and contact investigations. In 2003, 43% of persons in New York City with confirmed or suspected TB were reported 4 or more days late. An intervention to increase the timeliness of TB reporting was initiated in 2004. A list of patients who were reported late and had a smear positive for acid-fast bacilli, a pathology finding consistent with TB, or who initiated 2 or more anti-TB medications was generated quarterly. Health care providers and laboratories were contacted to determine the reasons for reporting late and were educated on TB reporting requirements. To assess the effectiveness of the intervention, we evaluated the trend in delayed reports between 2003 and 2006, using the Jonckheere-Terpstra test for trend. The proportion of patients who were reported late decreased from 43% (942/2183) in 2003 to 20% (386/1930) in 2006 (Ptrend < .0001). There were improvements in reporting timeliness for all 3 reporting criteria included in the evaluation and all provider types (all Ptrend < .0001); however, private providers consistently had a higher proportion of delayed reporting (22% reported late in 2006). This relatively simple intervention was very effective in improving the timeliness of TB reporting and could be utilized for other reportable diseases where prompt reporting is critical.

Residential mobility and chronic disease among World Trade Center Health Registry enrollees, 2004-2016.

Residential mobility is hypothesized to impact health through changes to the built environment and disruptions in social networks, and may vary by neighborhood deprivation exposure. However, there are few longitudinal investigations of residential mobility in relation to health outcomes. This study examined enrollees from the World Trade Center Health Registry, a longitudinal cohort of first responders and community members in lower Manhattan on September 11, 2001. Enrollees who completed ≥2 health surveys between 2004 and 2016 and did not have diabetes (N = 44,089) or hypertension (N = 35,065) at baseline (i.e., 2004) were included. Using geocoded annual home addresses, residential mobility was examined using two indicators: moving frequency and displacement. Moving frequency was defined as the number of times someone was recorded as living in a different neighborhood; displacement as any moving to a more disadvantaged neighborhood. We fit adjusted Cox proportional hazards models with time-dependent exposures (moving frequency and displacement) and covariates to evaluate associations with incident diabetes and hypertension. From 2004 to 2016, the majority of enrollees never moved (54.5%); 6.5% moved ≥3 times. Those who moved ≥3 times had a similar hazard of diabetes (hazard ratio (HR) = 0.78; 95% Confidence Interval (CI): 0.40, 1.53) and hypertension (HR = 0.99; 95% CI: 0.68, 1.43) compared with those who never moved. Similarly, displacement was not associated with diabetes or hypertension. Residential mobility was not associated with diabetes or hypertension among a cohort of primarily urban-dwelling adults.

Housing stability and diabetes among people living in New York city public housing.

Public housing provides affordable housing and, potentially, housing stability for low-income families. Housing stability may be associated with lower incidence or prevalence and better management of a range of health conditions through many mechanisms. We aimed to test the hypotheses that public housing residency is associated with both housing stability and reduced risk of diabetes incidence, and the relationship between public housing and diabetes risk varies by levels of housing stability. Using 2004-16 World Trade Center Health Registry data, we compared outcomes (housing stability measured by sequence analysis of addresses, self-reported diabetes diagnoses) between 730 New York City public housing residents without prevalent diabetes at baseline and 730 propensity score-matched non-public housing residents. Sequence analysis found 3 mobility patterns among all 1460 enrollees, including stable housing (65%), limited mobility (27%), and unstable housing patterns (8%). Public housing residency was associated with stable housing over 12 years. Diabetes risk was not associated with public housing residency; however, among those experiencing housing instability, a higher risk of diabetes was found among public housing versus non-public housing residents. Of those stably housed, the association remained insignificant. These findings provide important evidence for a health benefit of public housing via housing stability among people living in public housing.

Estimating the probability of diagnosis within 1 year of HIV acquisition.

BACKGROUND: Early diagnosis of HIV is important for the prevention of ongoing transmission and development of HIV-related illness. The purpose of this study is to develop an outcome indicator to monitor the progress in early HIV diagnosis. METHODS: Persons diagnosed with HIV in New York City and their first CD4 test results were used to estimate the distribution of HIV diagnosis delay, based on a CD4 count depletion model. The distribution was then used to estimate the probability of diagnosis within 1 year of HIV acquisition, which is the number of cases diagnosed in a given calendar year for which diagnosis occurred within 1 year of acquisition divided by the number of incident cases in that calendar year. RESULTS: In 2012-2016, the estimated annual probability of diagnosis within 1 year of HIV acquisition in New York City was 43.0% [95% confidence interval (CI): 37.9-48.2%), 42.5% (95% CI: 36.8--48.3%), 42.8% (95% CI: 36.3--49.2%), 42.9% (95% CI: 35.4--50.3%), and 42.2% (95% CI: 33.1--51.2%), respectively. CONCLUSION: National and local health jurisdictions should consider using this new outcome indicator, the probability of diagnosis within 1 year of HIV acquisition, to monitor their progress in early HIV diagnosis.

A Comparison of Common Health Indicators From Two Surveys of Latinos in the Bronx, New York.

INTRODUCTION: Population health surveys inform and demonstrate the impact of public health policies. However, the performance of such surveys in specific groups of interest (e.g., Hispanics/Latinos in a neighborhood of New York City) is rarely studied. METHOD: We compared measures for obesity, hypertension, diabetes, and current smoking based on the New York City Community Health Survey (CHS, a telephone survey of New York City adults) with the Hispanic Community Health Survey/Study of Latinos (HCHS/SOL), an in-person survey of Hispanic/Latino adults in four communities in the United States (2008-2011), including the Bronx. CHS data were limited to Hispanic/Latinos living in the HCHS/SOL Bronx catchment area. RESULTS: Compared with CHS, HCHS/SOL estimated higher prevalence of obesity (in HCHS/SOL, PHCHS/SOL = 45.0% vs. in CHS, PCHS = 30.6%, p < .01) and current smoking (PHCHS/SOL = 21.2% vs. PCHS = 16.2%, p < .01) but similar for hypertension (PHCHS/SOL = 33.1% vs. PCHS = 33.8%, p > .05) and diabetes (PHCHS/SOL = 15.2% vs. PCHS = 15.7%, p > .05). Stratified estimates (by age, sex, education, and Hispanic/Latino heritage) followed similar trends. CONCLUSION: Our study emphasizes the importance of assessing potential bias in population-based surveys of Hispanics/Latinos and other populations of interest and highlights the complex nature of measuring health outcomes via population-based surveys.

Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data.

The determination of lineages from strain-based molecular genotyping information is an important problem in tuberculosis. Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing is a commonly used molecular genotyping approach that uses counts of the number of times pre-specified loci repeat in a strain. There are three main approaches for determining lineage based on MIRU-VNTR data - one based on a direct comparison to the strains in a curated database, and two others, on machine learning algorithms trained on a large collection of labeled data. All existing methods have limitations. The direct approach imposes an arbitrary threshold on how much a database strain can differ from a given one to be informative. On the other hand, the machine learning-based approaches require a substantial amount of labeled data. Notably, all three methods exhibit suboptimal classification accuracy without additional data. We explore several computational approaches to address these limitations. First, we show that eliminating the arbitrary threshold improves the performance of the direct approach. Second, we introduce RuleTB, an alternative direct method that proposes a concise set of rules for determining lineages. Lastly, we propose StackTB, a machine learning approach that requires only a fraction of the training data to outperform the accuracy of both existing machine learning methods. Our approaches demonstrate superior performance on a training dataset collected in New York City over 10 years, and the improvement in performance translates to a held-out testing set. We conclude that our methods provide opportunities for improving the determination of pathogenic lineages based on MIRU-VNTR data.

Enhanced Tuberculosis Infection Treatment Outcomes after Implementation of QuantiFERON®-Gold Testing.

BACKGROUND: Use of the tuberculin skin test (TST) for diagnosis of latent tuberculosis infection (LTBI) among individuals who received the Bacille Calmette-Guérin (BCG) vaccine is complicated by its potential cross-reaction with TST antigens which may cause false-positive results and lead to patient and physician reluctance to initiate LTBI treatment. QuantiFERON®-TB Gold (QFT-G) lacks this cross-reaction. We sought to study the impact of implementing QFT-G testing in 2006 on LTBI treatment initiation and completion at NYC chest clinics. METHODS: QFT-G results from 10/2006-12/2008 in NYC Department of Health and Mental Hygiene chest clinics were obtained from the electronic medical record system. The proportions of patients who initiated and completed treatment among patients tested with QFT-G were compared to those tested with TST from 10/2004-9/2006. RESULTS: Among 36,167 patients tested with QFT-G, 2,300 (6%) tested positive, 33,327 (93%) tested negative, and 540 (1%) had an indeterminate result. Among those who had a positive QFT-G test and deemed eligible, 985 (80%) initiated LTBI treatment and 490 (40%) completed treatment. Historically, among patients tested with TST, 7,073 (19%) tested positive (p<0.0001 compared to QFT-G); 3,182 (79%) of those eligible initiated LTBI treatment and 1,210 (30%) completed treatment (p<0.0001 compared to QFT-G). CONCLUSIONS: QFT-G implementation increased the proportion of patients completing LTBI treatment. Additional studies are needed in more settings to determine whether using QFT-G leads to a sustained increase in treatment completion.