ChAT::Cre transgenic rats show sex-dependent altered fear behaviors, ultrasonic vocalizations and cholinergic marker expression.

The cholinergic system is a critical regulator of Pavlovian fear learning and extinction. As such, we have begun investigating the cholinergic system's involvement in individual differences in cued fear extinction using a transgenic ChAT::Cre rat model. The current study extends behavioral phenotyping of a transgenic ChAT::Cre rat line by examining both freezing behavior and ultrasonic vocalizations (USVs) during a Pavlovian cued fear learning and extinction paradigm. Freezing, 22 kHz USVs, and 50 kHz USVs were compared between male and female transgenic ChAT::Cre+ rats and their wildtype (Cre-) littermates during fear learning, contextual and cue-conditioned fear recall, cued fear extinction, and generalization to a novel tone. During contextual and cued fear recall ChAT::Cre+ rats froze slightly more than their Cre- littermates, and displayed significant sex differences in contextual and cue-conditioned freezing, 22 kHz USVs, and 50 kHz USVs. Females showed more freezing than males in fear recall trials, but fewer 22 kHz distress calls during fear learning and recall. Females also produced more 50 kHz USVs during exposure to the testing chambers prior to tone (or shock) presentation compared with males, but this effect was blunted in ChAT::Cre+ females. Corroborating previous studies, ChAT::Cre+ transgenic rats overexpressed vesicular acetylcholine transporter immunolabeling in basal forebrain, striatum, basolateral amygdala, and hippocampus, but had similar levels of acetylcholinesterase and numbers of ChAT+ neurons as Cre- rats. This study suggests that variance in behavior between ChAT::Cre+ and wildtype rats is sex dependent and advances theories that distinct neural circuits and processes regulate sexually divergent fear responses.

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.

A comparison of the four healthy days measures (HRQOL-4) with a single measure of self-rated general health in a population-based health survey in New York City.

BACKGROUND: Data on health-related quality of life (HRQOL) can be used to track health disparities, assess the impact of chronic diseases, and predict mortality. The Centers for Disease Control and Prevention's "Healthy Days Measures" (HRQOL-4) assesses four key domains: self-rated general health, physical health, mental health, and activity limitations. The domains are not easily combined to summarize overall HRQOL, and some evidence suggests that self-rated general health may be an adequate proxy indicator for overall HRQOL. This study compares self-rated general health as a solitary measure of HRQOL with two summary indices of the HRQOL-4 as a predictor of adverse health conditions in a representative sample of adult New York City residents. METHODS: The 2017 NYC Social Determinants of Health survey implemented by the New York City Department of Health and Mental Hygiene collected data from a representative sample of New Yorkers (n = 2335) via phone, mail, and web. We compared the information criteria and predictive power of self-rated general health with two alternative summary indices of the HRQOL-4 in predicting self-reported health conditions (hypertension, diabetes, obesity, non-specific psychological distress, and a summary indicator for at least one those four morbidities). RESULTS: Overall, 19.1% (95% CI: 16.9, 21.5) of respondents reported that they had fair or poor general health. Self-rated general health was significantly associated with days of poor physical health, poor mental health, and activity limitations (p < 0.001 for each). While the Akaike and Bayesian information criteria suggested that the summary indices of the HRQOL-4 produced marginally better models for predicting adverse health conditions, self-rated general health had slightly higher predictive power than did the summary indices in all models of physical health outcomes as measured by Tjur's pseudo-R2 and the area under the curve. CONCLUSION: We found very small differences between self-rated general health and the summary indices of the HRQOL-4 in predicting health conditions, suggesting self-rated general health is an appropriate proxy measure of overall HRQOL. Because it can be measured with a single question rather than four, it might be the most simple, efficient, and cost-effective method of summarizing HRQOL in large population-based surveys.

Lower 24-h urinary sodium excretion is associated with hypertension control: the 2010 Heart Follow-Up Study.

Among individuals with hypertension, controlling high blood pressure (BP) reduces the risk for cardiovascular events and death. Reducing dietary sodium can help achieve BP control. The study aim was to use a population-based sample utilizing the gold standard for urinary sodium to quantify the degree with which sodium was independently associated with BP control among individuals with hypertension. Participants included 1568 adults from the Heart Follow-Up Study, a New York City population-based representative study conducted in 2010. Participants collected urine for 24 h and had BP and other anthropometrics measured. Hypertension was defined as systolic BP ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, or being on BP lowering medication. Sodium intake (mg/day) was measured from a single 24-h urine collection. Hypertension prevalence was 30.8%. Among those with hypertension, 64.6% were aware, 56.3% were treated, and 40.3% were controlled. Among those treated for hypertension, 73.0% were controlled. Mean sodium intake among those with hypertension was 3564 mg/day. From multivariable adjusted logistic regression models, each 500 mg decrease in 24-h urinary sodium excretion was associated with a 18% higher odds of hypertension control among those with hypertension (1.18, 95% CI: 1.07, 1.30). In New York City, approximately one in three people has hypertension with a majority uncontrolled. Sodium intake among those with hypertension was 55% greater than recommended upper limit of 2300 mg per day. Among individuals with hypertension, lower sodium intake was associated with hypertension control.

Alcohol-related emergency department visits and income inequality in New York City, USA: an ecological study.

OBJECTIVES: Previous research has found that greater income inequality is related to problematic alcohol use across a variety of geographical areas in the USA and New York City (NYC). Those studies used self-reported data to assess alcohol use. This study examined the relationship between within-neighborhood income inequality and alcohol-related emergency department (ED) visits. METHODS: The study outcome was the alcohol-related ED visit rate per 10,000 persons between 2010 and 2014, using data obtained from the New York Statewide Planning and Research Cooperative System. The main predictor of interest was income inequality, measured using the Gini coefficient from the American Community Survey (2010-2014) at the public use microdata area (PUMA) level (n=55) in NYC. Variables associated with alcohol-related ED visits in bivariate analyses were considered for inclusion in a multivariable model. RESULTS: There were 420,568 alcohol-related ED visits associated with a valid NYC address between 2010 and 2014. The overall annualized NYC alcohol-related ED visit rate was 100.7 visits per 10,000 persons. The median alcohol ED visit rate for NYC PUMAs was 88.0 visits per 10,000 persons (interquartile range [IQR], 64.5 to 133.5), and the median Gini coefficient was 0.48 (IQR, 0.45 to 0.51). In the multivariable model, a higher neighborhood Gini coefficient, a lower median age, and a lower percentage of male residents were independently associated with the alcohol-related ED visit rate. CONCLUSIONS: This study found that higher neighborhood income inequality was associated with higher neighborhood alcohol-related ED visit rates. The precise mechanism of this relationship is not understood, and further investigation is warranted to determine temporality and to assess whether the results are generalizable to other locales.

Development of a Neighborhood Walkability Index for Studying Neighborhood Physical Activity Contexts in Communities across the U.S. over the Past Three Decades.

To examine how urban form shapes physical activity and health over time, a measure of neighborhood walkability is needed that can be linked to cohort studies with participants living across the United States (U.S.) that have been followed over the past decades. The Built Environment and Health-Neighborhood Walkability Index (BEH-NWI), a measure of neighborhood walkability that can be calculated for communities across the United States between 1990 and 2015, was conceptualized, developed, and tested using data from the New York City Tri-State Area. BEH-NWI measures were created for 1990 and 2010 using historical data on population density, street intersection density, density of rail stops, and density of pedestrian trip generating/supporting establishments. BEH-NWI scores were calculated for 1-km buffers around the 1990 residences of NYU Women's Health Study (NYUWHS) participants and NYC Department of Health and Mental Hygiene's Physical Activity and Transit (PAT) survey participants enrolled in 2011. Higher neighborhood BEH-NWI scores were significantly associated with greater self-reported walking per week (+ 0.31 MET-hours/week per unit BEH-NWI, 95% CI 0.23, 0.36) and lower body mass index (- 0.17 BMI units per unit BEH-NWI, 95% - 0.23, - 0.12) among NYUWHS participants. Higher neighborhood BEH-NWI scores were associated with significantly higher accelerometer-measured physical activity among PAT survey participants (39% more minutes of moderate-intensity equivalent activity/week across the interquartile range of BEH-NWI, 95% CI 21%, 60%). The BEH-NWI can be calculated using historical data going back to 1990, and BEH-NWI scores predict BMI, weekly walking, and physical activity in two NYC area datasets.

Heart Age, Cardiovascular Disease Risk, and Disparities by Sex and Race/Ethnicity Among New York City Adults.

OBJECTIVES: Cardiovascular disease (CVD) is the leading cause of mortality in the United States. The risk for developing CVD is usually calculated and communicated to patients as a percentage. The calculation of heart age-defined as the predicted age of a person's vascular system based on the person's CVD risk factor profile-is an alternative method for expressing CVD risk. We estimated heart age among adults aged 30-74 in New York City and examined disparities in excess heart age by race/ethnicity and sex. METHODS: We applied data from the 2011, 2013, and 2015 New York State Behavioral Risk Factor Surveillance System to the non-laboratory-based Framingham risk score functions to calculate 10-year CVD risk and heart age by sex, race/ethnicity, and selected sociodemographic groups and risk factors. RESULTS: Of 6117 men and women in the study sample, the average heart age was 5.7 years higher than the chronological age, and 2631 (43%) adults had a predicted heart age ≥5 years older than their chronological age. Mean excess heart age increased with age (from 0.7 year among adults aged 30-39 to 11.2 years among adults aged 60-74) and body mass index (from 1.1 year among adults with normal weight to 11.8 years among adults with obesity). Non-Latino white women had the lowest mean excess heart age (2.3 years), and non-Latino black men and women had the highest excess heart age (8.4 years). CONCLUSIONS: Racial/ethnic and sex disparities in CVD risk persist among adults in New York City. Use of heart age at the population level can support public awareness and inform targeted programs and interventions for population subgroups most at risk for CVD.

Accelerometer and Survey Data on Patterns of Physical Inactivity in New York City and the United States.

OBJECTIVE: Inactive lifestyles contribute to health problems and premature death and are influenced by the physical environment. The primary objective of this study was to quantify patterns of physical inactivity in New York City and the United States by combining data from surveys and accelerometers. METHODS: We used Poisson regression models and self-reported survey data on physical activity and other demographic characteristics to predict accelerometer-measured inactivity in New York City and the United States among adults aged ≥18. National data came from the 2003-2004 and 2005-2006 National Health and Nutrition Examination Surveys. New York City data came from the 2010-2011 New York City Physical Activity and Transit survey. RESULTS: Self-reported survey data indicated no significant differences in inactivity between New York City and the United States, but accelerometer data showed that 53.1% of persons nationally, compared with 23.4% in New York City, were inactive ( P < .001). New Yorkers reported a median of 139 weekly minutes of transportation activity, compared with 0 minutes nationally. Nationally, 50.0% of self-reported activity minutes came from recreation activity, compared with 17.5% in New York City. Regression models indicated differences in the association between self-reported minutes of transportation and recreation and accelerometer-measured inactivity in the 2 settings. CONCLUSIONS: The prevalence of physical inactivity was higher nationally than in New York City. The largest difference was in walking behavior indicated by self-reported transportation activity. The study demonstrated the feasibility of combining accelerometer and survey measurement and that walkable environments promote an active lifestyle.

Using GPS Data to Study Neighborhood Walkability and Physical Activity.

INTRODUCTION: Urban form characteristics intended to support pedestrian activity, collectively referred to as neighborhood walkability, are thought to increase total physical activity. However, little is known about how neighborhood walkability influences utilization of neighborhood space by residents and their overall physical activity. METHODS: Sociodemographic information and data on mobility and physical activity over 1-week periods measured by GPS loggers and accelerometers were collected from 803 residents of New York City between November 2010 and November 2011. Potentially accessible neighborhood areas were defined as land area within a 1-kilometer distance of the subject's home (radial buffer) and within a 1-kilometer journey on the street network from the home (network buffer). To define actual areas utilized by subjects, a minimum convex polygon was plotted around GPS waypoints falling within 1 kilometer of the home. A neighborhood walkability scale was calculated for each neighborhood area. Data were analyzed in 2014. RESULTS: Total residential neighborhood space utilized by subjects was significantly associated with street intersection density and was significantly negatively associated with residential density and subway stop density within 1 kilometer of the home. Walkability scale scores were significantly higher within utilized as compared with non-utilized neighborhood areas. Neighborhood walkability in the utilized neighborhood area was positively associated with total weekly physical activity (32% [95% CI=17%, 49%] more minutes of moderate-equivalent physical activity across the interquartile range of walkability). CONCLUSION: Neighborhood walkability is associated with neighborhood spaces utilized by residents and total weekly physical activity.

Monitoring Prevalence, Treatment, and Control of Metabolic Conditions in New York City Adults Using 2013 Primary Care Electronic Health Records: A Surveillance Validation Study.

INTRODUCTION: Electronic health records (EHRs) can potentially extend chronic disease surveillance, but few EHR-based initiatives tracking population-based metrics have been validated for accuracy. We designed a new EHR-based population health surveillance system for New York City (NYC) known as NYC Macroscope. This report is the third in a 3-part series describing the development and validation of that system. The first report describes governance and technical infrastructure underlying the NYC Macroscope. The second report describes validation methods and presents validation results for estimates of obesity, smoking, depression and influenza vaccination. In this third paper we present validation findings for metabolic indicators (hypertension, hyperlipidemia, diabetes). METHODS: We compared EHR-based estimates to those from a gold standard surveillance source - the 2013-2014 NYC Health and Nutrition Examination Survey (NYC HANES) - overall and stratified by sex and age group, using the two one-sided test of equivalence and other validation criteria. RESULTS: EHR-based hypertension prevalence estimates were highly concordant with NYC HANES estimates. Diabetes prevalence estimates were highly concordant when measuring diagnosed diabetes but less so when incorporating laboratory results. Hypercholesterolemia prevalence estimates were less concordant overall. Measures to assess treatment and control of the 3 metabolic conditions performed poorly. DISCUSSION: While indicator performance was variable, findings here confirm that a carefully constructed EHR-based surveillance system can generate prevalence estimates comparable to those from gold-standard examination surveys for certain metabolic conditions such as hypertension and diabetes. CONCLUSIONS: Standardized EHR metrics have potential utility for surveillance at lower annual costs than surveys, especially as representativeness of contributing clinical practices to EHR-based surveillance systems increases.

Self-reported sitting time in New York City adults, the Physical Activity and Transit Survey, 2010-2011.

INTRODUCTION: Recent studies have demonstrated the negative health consequences associated with extended sitting time, including metabolic disturbances and decreased life expectancy. The objectives of this study were to characterize sitting time in an urban adult population and assess the validity of a 2-question method of self-reported sitting time. METHODS: The New York City Health Department conducted the 2010-2011 Physical Activity and Transit Survey (N = 3,597); a subset of participants wore accelerometers for 1 week (n = 667). Self-reported sitting time was assessed from 2 questions on time spent sitting (daytime and evening hours). Sedentary time was defined as accelerometer minutes with less than 100 counts on valid days. Descriptive statistics were used to estimate the prevalence of sitting time by demographic characteristics. Validity of sitting time with accelerometer-measured sedentary time was assessed using Spearman's correlation and Bland-Altman techniques. All data were weighted to be representative of the New York City adult population based on the 2006-2008 American Community Survey. RESULTS: Mean daily self-reported sitting time was 423 minutes; mean accelerometer-measured sedentary time was 490 minutes per day (r = 0.32, P < .001). The mean difference was 49 minutes per day (limits of agreement: -441 to 343). Sitting time was higher in respondents at lower poverty and higher education levels and lower in Hispanics and people who were foreign-born. CONCLUSION: Participants of higher socioeconomic status, who are not typically the focus of health disparities-related research, had the highest sitting times; Hispanics had the lowest levels. Sitting time may be accurately assessed by self-report with the 2-question method for population surveillance but may be limited in accurately characterizing individual-level behavior.

Measurement error of self-reported physical activity levels in New York City: assessment and correction.

Because it is difficult to objectively measure population-level physical activity levels, self-reported measures have been used as a surveillance tool. However, little is known about their validity in populations living in dense urban areas. We aimed to assess the validity of self-reported physical activity data against accelerometer-based measurements among adults living in New York City and to apply a practical tool to adjust for measurement error in complex sample data using a regression calibration method. We used 2 components of data: 1) dual-frame random digit dialing telephone survey data from 3,806 adults in 2010-2011 and 2) accelerometer data from a subsample of 679 survey participants. Self-reported physical activity levels were measured using a version of the Global Physical Activity Questionnaire, whereas data on weekly moderate-equivalent minutes of activity were collected using accelerometers. Two self-reported health measures (obesity and diabetes) were included as outcomes. Participants with higher accelerometer values were more likely to underreport the actual levels. (Accelerometer values were considered to be the reference values.) After correcting for measurement errors, we found that associations between outcomes and physical activity levels were substantially deattenuated. Despite difficulties in accurately monitoring physical activity levels in dense urban areas using self-reported data, our findings show the importance of performing a well-designed validation study because it allows for understanding and correcting measurement errors.

Perceptions and the role of group exercise among New York City adults, 2010-2011: an examination of interpersonal factors and leisure-time physical activity.

OBJECTIVE: To examine associations of descriptive norms (i.e., behaviors of social group members) and exercising 'with a partner' or 'as a part of a group' on weekly leisure-time physical activity. METHODS: T-tests and adjusted multivariable linear models were used to test the associations between descriptive norms and exercising with a partner or as a part of a group with self-reported leisure-time physical activity using the cross-sectional, population-based New York City Physical Activity and Transit (PAT) Survey 2010-2011 (n=3806). RESULTS: Overall, 70.6% of adult New Yorkers reported having physically active friends. Having active friends was associated with increased leisure-time physical activity; however, the effect varied by sex. Compared to those who did not have active friends, males with active friends reported two times more activity (56 min/week) and women reported two and a half times more activity (35 min/week) (both p-values<0.001). Physically active males and females who usually engaged in leisure-time activities as a part of a group reported 1.4 times more activity than those who exercised alone (both p-values<0.03). CONCLUSIONS: Descriptive norms and group exercise were associated with leisure-time physical activity among adults. Based on these associations, encouraging group exercise may be an effective strategy for increasing leisure-time physical activity among certain subgroups.

Diet and blood pressure: differences among whites, blacks and Hispanics in New York City 2010.

OBJECTIVES: Our study examined: 1) racial/ethnic differences in sodium and potassium intake; and 2) racial/ethnic differences in the relationship between dietary intake and blood pressure. DESIGN & METHODS: Data were collected in New York City in 2010, and included a telephone health survey, a 24-hour urine collection and an in-home clinical exam. Linear regression was used to examine the association of sodium and potassium intakes with blood pressure separately by race/ethnicity, age and sex among 1568 participants. RESULTS: The results indicate large differences by population subgroup in: 1) nutrient intake, and 2) the relationship between sodium and potassium intake and blood pressure. Black and Hispanic males aged < or = 50 consume considerably more sodium and less potassium than their White counterparts. The regression results indicate a strong association between diet and blood pressure among Blacks and Hispanics only. CONCLUSIONS: Based on our assessment of the association of sodium and potassium intakes and blood pressure measurements, we find that young Black and Hispanic males aged < or = 50 years have the poorest diet quality and may be the most at risk for developing diet-related hypertension.

Sodium intake in a cross-sectional, representative sample of New York City adults.

OBJECTIVES: We estimated sodium intake, which is associated with elevated blood pressure, a major risk factor for cardiovascular disease, and assessed its association with related variables among New York City adults. METHODS: In 2010 we conducted a cross-sectional, population-based survey of 1656 adults, the Heart Follow-Up Study, that collected self-reported health information, measured blood pressure, and obtained sodium, potassium, and creatinine values from 24-hour urine collections. RESULTS: Mean daily sodium intake was 3239 milligrams per day; 81% of participants exceeded their recommended limit. Sodium intake was higher in non-Hispanic Blacks (3477 mg/d) and Hispanics (3395 mg/d) than in non-Hispanic Whites (3066 mg/d; both P < .05). Higher sodium intake was associated with higher blood pressure in adjusted models, and this association varied by race/ethnicity. CONCLUSIONS: Higher sodium intake among non-Hispanic Blacks and Hispanics than among Whites was not previously documented in population surveys relying on self-report. These results demonstrate the feasibility of 24-hour urine collection for the purposes of research, surveillance, and program evaluation.

Potassium and fruit and vegetable intakes in relation to social determinants and access to produce in New York City.

BACKGROUND: Potassium-rich diets are inversely associated with blood pressure. Potassium intake before this study had not been objectively measured by using potassium excretion in a population-based sample in the United States. OBJECTIVES: The objectives of the analysis were to 1) report mean potassium excretion in a diverse urban population by using 24-h urine collections, 2) corroborate potassium excretion by using self-reported fruit and vegetable consumption, and 3) characterize associations between potassium excretion and socioeconomic indicators and access to produce. DESIGN: Participants were from the 2010 Community Health Survey Heart Follow-Up Study-a population-based study including data from 24-h urine collections. The final sample of 1656 adults was weighted to be representative of New York City (NYC) adults as a whole. RESULTS: Mean urinary potassium excretion was 2180 mg/d, and mean self-reported fruit and vegetable intake was 2.5 servings/d. Adjusted urinary potassium excretion was 21% lower in blacks than in whites (P < 0.001), 13% lower in non-college graduates than in college graduates (P < 0.001), and 9% lower in the lowest-income than in the highest-income group (P = 0.03). Potassium excretion was correlated with fruit and vegetable intake. Most NYC residents reported a <10-min walk to fresh fruit and vegetables; this indicator of access was not associated with potassium excretion or fruit and vegetable intake. CONCLUSIONS: Potassium intake is low in NYC adults, especially in lower socioeconomic groups. Innovative programs that increase fruit and vegetable intake may help increase dietary potassium and reduce hypertension-related disease. This trial is registered at clinicaltrials.gov as NCT01889589.