Neighbourhood walkability is associated with risk of gestational diabetes: A cross-sectional study in New York City.

BACKGROUND: Despite the links between neighbourhood walkability and physical activity, body size and risk of diabetes, there are few studies of neighbourhood walkability and risk of gestational diabetes (GD). OBJECTIVES: Assess whether higher neighbourhood walkability is associated with lower risk of GD in New York City (NYC). METHODS: Cross-sectional analyses of a neighbourhood walkability index (NWI) score and density of walkable destinations (DWD) and risk of GD in 109,863 births recorded in NYC in 2015. NWI and DWD were measured for the land area of 1 km radius circles around the geographic centroid of each Census block of residence. Mixed generalised linear models, with robust standard error estimation and random intercepts for NYC Community Districts, were used to estimate risk ratios for GD for increasing quartiles of each of the neighbourhood walkability measures after adjustment for the pregnant individual's age, race and ethnicity, parity, education, nativity, and marital status and the neighbourhood poverty rate. RESULTS: Overall, 7.5% of pregnant individuals experienced GD. Risk of GD decreased across increasing quartiles of NWI, with an adjusted risk ratio of 0.81 (95% Confidence Interval (CI) 0.75, 0.87) comparing those living in areas in the 4th quartile of NWI to those in the first quartile. Similarly, for comparisons of the 4th to 1st quartile of DWD, the adjusted risk ratio for GD was 0.77 (95% CI 0.71, 0.84). CONCLUSIONS: These analyses find support for the hypothesis that higher neighbourhood walkability is associated with a lower risk of GD. The analyses provide further health related support for urban design policies to increase walkability.

Birth equity on the front lines: Impact of a community-based doula program in Brooklyn, NY.

BACKGROUND: We assessed whether participation in Healthy Start Brooklyn's By My Side Birth Support Program-a maternal-health program providing community-based doula support during pregnancy, labor and delivery, and the early postpartum period-was associated with improved birth outcomes. By My Side takes a strength-based approach that aligns with the doula principles of respecting the client's autonomy, providing culturally appropriate care without judgment or conditions, and promoting informed decision making. METHODS: Using a matched cohort design, birth certificate records for By My Side participants from 2010 through 2017 (n = 603) were each matched to three controls who also lived in the program area (n = 1809). Controls were matched on maternal age, race/ethnicity, education level, and trimester of prenatal-care initiation, using the simple random sampling method. The sample was restricted to singleton births. The odds of preterm birth, low birthweight, and cesarean birth were estimated, using conditional logistic regression. RESULTS: By My Side participants had lower odds of having a preterm birth (5.6% vs 11.9%, P < .0001) or a low-birthweight baby (5.8% vs 9.7%, P = .0031) than controls. There was no statistically significant difference in the odds of cesarean delivery. CONCLUSION: Participation in the By My Side Birth Support Program was associated with lower odds of preterm birth and low birthweight for participants, who were predominantly Black and Hispanic. Investing in doula services is an important way to address birth inequities among higher risk populations such as birthing people of color and those living in poverty. It could also help shape a new vision of the maternal-health system, placing the needs and well-being of birthing people at the center.

Predictors and Trends in First-Trimester Hemoglobin A1c Screening in New York City, 2009 to 2017.

Glycated hemoglobin is an adjunct tool in early pregnancy to assess glycemic control. We examined trends and maternal predictors for those who had A1c screening in early pregnancy using hospital discharge and vital registry data between 2009 and 2017 linked with the New York City A1C Registry (N = 798,312). First-trimester A1c screening increased from 2.3% in 2009 to 7.7% in 2017. The likelihood of screening became less targeted to high-risk patients over time, with a decrease in mean A1c values from 5.8% (95% confidence interval [CI]: 5.8, 5.9) to 5.3 (95% CI: 5.3, 5.4). The prevalence of gestational diabetes mellitus increased while testing became less discriminate for those with high-risk factors, including pregestational type 2 diabetes, chronic hypertension, obesity, age over 40 years, as well as Asian or Black non-Hispanic race/ethnicity. KEY POINTS: · First-trimester A1c screening increased from 2.3% in 2009 to 7.7% in 2017 in New York City.. · The likelihood of screening became less targeted to high-risk patients over time.. · The prevalence of gestational diabetes mellitus increased, while testing became less discriminate..

Paternal Jail Incarceration and Birth Outcomes: Evidence from New York City, 2010-2016.

OBJECTIVES: To examine population-level associations between paternal jail incarceration during pregnancy and infant birth outcomes using objective measures of health and incarceration. METHODS: We use multivariate logistic regression models and linked records on all births and jail incarcerations in New York City between 2010 and 2016. RESULTS: 0.8% of live births were exposed to paternal incarceration during pregnancy or at the time of birth. After accounting for parental sociodemographic characteristics, maternal health behaviors, and maternal health care access, paternal incarceration during pregnancy remains associated with late preterm birth (OR = 1.34, 95% CI = 1.21, 1.48), low birthweight (OR = 1.39, 95% CI = 1.27, 1.53), small size for gestational age (OR = 1.35, 95% CI = 1.17, 1.57), and NICU admission (OR = 1.14, 95% CI = 1.05, 1.24). CONCLUSIONS: We found strong positive baseline associations (p < 0.001) between paternal jail incarceration during pregnancy with probabilities of all adverse outcomes examined. These associations did not appear to be driven purely by duration or frequency of paternal incarceration. These associations were partially explained by parental characteristics, maternal health behavior, and health care. These results indicate the need to consider paternal incarceration as a potential stressor and source of trauma for pregnant women and infants.

Structural Racism, Historical Redlining, and Risk of Preterm Birth in New York City, 2013-2017.

Objectives. To assess if historical redlining, the US government's 1930s racially discriminatory grading of neighborhoods' mortgage credit-worthiness, implemented via the federally sponsored Home Owners' Loan Corporation (HOLC) color-coded maps, is associated with contemporary risk of preterm birth (< 37 weeks gestation).Methods. We analyzed 2013-2017 birth certificate data for all singleton births in New York City (n = 528 096) linked by maternal residence at time of birth to (1) HOLC grade and (2) current census tract social characteristics.Results. The proportion of preterm births ranged from 5.0% in grade A ("best"-green) to 7.3% in grade D ("hazardous"-red). The odds ratio for HOLC grade D versus A equaled 1.6 and remained significant (1.2; P < .05) in multilevel models adjusted for maternal sociodemographic characteristics and current census tract poverty, but was 1.07 (95% confidence interval = 0.92, 1.20) after adjustment for current census tract racialized economic segregation.Conclusions. Historical redlining may be a structural determinant of present-day risk of preterm birth.Public Health Implications. Policies for fair housing, economic development, and health equity should consider historical redlining's impacts on present-day residential segregation and health outcomes.

SARS-CoV-2-Associated Deaths Among Persons Aged <21 Years - United States, February 12-July 31, 2020.

Since February 12, 2020, approximately 6.5 million cases of SARS-CoV-2 infection, the cause of coronavirus disease 2019 (COVID-19), and 190,000 SARS-CoV-2-associated deaths have been reported in the United States (1,2). Symptoms associated with SARS-CoV-2 infection are milder in children compared with adults (3). Persons aged <21 years constitute 26% of the U.S. population (4), and this report describes characteristics of U.S. persons in that population who died in association with SARS-CoV-2 infection, as reported by public health jurisdictions. Among 121 SARS-CoV-2-associated deaths reported to CDC among persons aged <21 years in the United States during February 12-July 31, 2020, 63% occurred in males, 10% of decedents were aged <1 year, 20% were aged 1-9 years, 70% were aged 10-20 years, 45% were Hispanic persons, 29% were non-Hispanic Black (Black) persons, and 4% were non-Hispanic American Indian or Alaska Native (AI/AN) persons. Among these 121 decedents, 91 (75%) had an underlying medical condition,* 79 (65%) died after admission to a hospital, and 39 (32%) died at home or in the emergency department (ED).† These data show that nearly three quarters of SARS-CoV-2-associated deaths among infants, children, adolescents, and young adults have occurred in persons aged 10-20 years, with a disproportionate percentage among young adults aged 18-20 years and among Hispanics, Blacks, AI/ANs, and persons with underlying medical conditions. Careful monitoring of SARS-CoV-2 infections, deaths, and other severe outcomes among persons aged <21 years remains particularly important as schools reopen in the United States. Ongoing evaluation of effectiveness of prevention and control strategies will also be important to inform public health guidance for schools and parents and other caregivers.

COVID-19 Outbreak - New York City, February 29-June 1, 2020.

New York City (NYC) was an epicenter of the coronavirus disease 2019 (COVID-19) outbreak in the United States during spring 2020 (1). During March-May 2020, approximately 203,000 laboratory-confirmed COVID-19 cases were reported to the NYC Department of Health and Mental Hygiene (DOHMH). To obtain more complete data, DOHMH used supplementary information sources and relied on direct data importation and matching of patient identifiers for data on hospitalization status, the occurrence of death, race/ethnicity, and presence of underlying medical conditions. The highest rates of cases, hospitalizations, and deaths were concentrated in communities of color, high-poverty areas, and among persons aged ≥75 years or with underlying conditions. The crude fatality rate was 9.2% overall and 32.1% among hospitalized patients. Using these data to prevent additional infections among NYC residents during subsequent waves of the pandemic, particularly among those at highest risk for hospitalization and death, is critical. Mitigating COVID-19 transmission among vulnerable groups at high risk for hospitalization and death is an urgent priority. Similar to NYC, other jurisdictions might find the use of supplementary information sources valuable in their efforts to prevent COVID-19 infections.

Surveillance to Monitor the Impact of the Trump Administration on the Health of New York City Residents.

CONTEXT: The Trump administration has enacted or proposed many policies that could impact public health. These include attempts to dismantle or repeal the Patient Protection and Affordable Care Act (ACA), restricting funding for women's health care, and loosening of environmental regulations. OBJECTIVE: To develop a surveillance system to monitor the public health impacts of the Trump administration in New York City. DESIGN: Epidemiologic assessment. Public health surveillance system. SETTING: New York City. PARTICIPANTS: New York City residents. MAIN OUTCOMES MEASURES: We identified approximately 25 indicators across 5 domains: access to care, food insecurity, reproductive health, environmental health, and general physical and mental health. Sources of data include the New York City Department of Health and Mental Hygiene's (DOHMH's) health and risk behavior telephone survey, vital statistics, emergency department visits, DOHMH sexual health clinics, Federally Qualified Health Centers, lead and diabetes registries, Medicaid claims, Supplementary Nutrition Assistance Program enrollment, Women, Infant, and Children program enrollment, and 311 call records. Data are collected monthly or quarterly where possible. We identified measures to stratify indicators by individual and area-based measures of immigration and poverty. RESULTS: Since April 2017, we have compiled quarterly reports, including establishing a historical baseline of 10 years to account for secular trends and encompass the establishment and enactment of the ACA. Indicators are interpreted within the context of changes in programming or local policy that might explain trends. CONCLUSIONS: We have successfully established an adaptive surveillance system that is poised to rapidly detect changes in the health of New York City residents resulting from changes by the Trump administration to public health policy. The development of such systems is a critical function for health departments across the country to play a role in the current political and policy environment.

Characteristics of Mothers and Infants Living in Homeless Shelters and Public Housing in New York City.

Introduction Homelessness can result in poor health. The number of families with children living in NYC homeless shelters increased 55% from 2008 to 2014. Half of children living in shelter in 2014 were younger than 6 years old. We compared demographics and health outcomes of mothers and infants residing in NYC homeless shelters to those residing in public housing in this cross-sectional study. Methods Addresses of NYC Department of Homeless Services shelters and NYC Housing Authority (NYCHA) developments were matched to NYC Department of Health birth certificate data for the years 2008-2013. Sociodemographic and health characteristics of newborns residing in shelters were compared to newborns in NYCHA housing using Chi square tests. Results Mothers residing in shelters were younger, more likely to be black and less likely to be Hispanic, more likely to have been born outside NYC and reside in the Bronx. Babies born to mothers living in shelter were more likely to have low birth weight (< 2500 g), be born preterm (< 37 gestational weeks), require assisted ventilation immediately following delivery, have a NICU admission, and use Medicaid. They were less likely to breastfeed within 5 days of delivery and be discharged to their residence. Discussion Homeless mothers and infants had poorer health outcomes compared with those living in public housing. Understanding the health disparities of homeless infants can provide guidance for developing future policies and research initiatives, which may be used to inform the development of new policies to improve health outcomes of homeless infants and their mothers.

Examination of Cause-of-Death Data Quality Among New York City Deaths Due to Cancer, Pneumonia, or Diabetes From 2010 to 2014.

The cause-of-death (COD) statement on the standard US death certificate is a valuable tool for public health practice, but its utility is impaired by reporting inaccuracies. To assess the quality of CODs reported in New York City, we developed and applied a quality measure to 3 leading CODs: cancer, pneumonia, and diabetes. The COD quality measure characterized 5 common issues with COD completion: nonspecific conditions as the underlying COD (UCOD); UCOD discrepancies; the presence of only 1 informative cause on the entire certificate; competing causes listed together on 1 line; and clinically improbable sequences. COD statements with more than 1 quality issue were defined as statements of "limited" quality. Of 82,116 deaths with cancer, diabetes, or pneumonia assigned as the UCOD in New York City from 2010 to 2014, 66.8% of pneumonia certificates were classified as "limited" quality as compared with 45.6% of cancer certificates and 32.3% of diabetes certificates. Forty percent of cancer certificates listed only 1 informative condition on the death certificate. Almost half of pneumonia certificates (45.9%) contained only enough information to assign International Classification of Diseases, Tenth Revision, code J18.9 ("unspecified pneumonia") as the UCOD, whereas most diabetes certificates contained UCOD discrepancies (25.2%). These limitations affect the quality of mortality data but may be reduced through quality improvement efforts.

Nativity status/length of stay in the US and excessive gestational weight gain in New York City teens, 2008-2010.

Nativity status/length of stay in the US has been found to be associated with obesity. However, little work has examined the role of nativity status/length of stay in excessive gestational weight gain (EGWG) in adolescents. This study utilized New York City Department of Health and Mental Hygiene birth certificate data in a cross-sectional analysis of 15,715 singleton births to primiparous teen mothers (12-19 years) between 2008 and 2010. Nativity and length of stay in the United States (US) were obtained from birth certificates. EGWG was calculated using weight at delivery and pre-pregnancy weight. Prevalence ratios were calculated through generalized estimating equations to assess the strength of the association between nativity status/length of US residence and EGWG. For US-born teens, 43 % gained more weight than recommended as compared to 32 % for foreign-born teens who have lived in the US for less than 5 years (FB <5 years). Following adjustment for maternal demographics and other factors, US-born teens (adjusted prevalence ratios (APR) (CI) 1.26 [1.18,1.34]), FB 10+ years (APR (CI) 1.17 [1.07,1.28]), and FB 5-10 years (APR (CI) 1.11 [1.01,1.21]) were more likely to have gained weight excessively as compared to FB <5 years. US-born teens and FB teens that have been in the US longer than 5 years are more likely to gain weight excessively during pregnancy as compared to teens with fewer than 5 years in the US. These results identify a critical period when adolescents are in frequent contact with health care providers and can receive counseling regarding healthy weight gain.

Maternal education and excessive gestational weight gain in New York city, 1999-2001: the effect of race/ethnicity and neighborhood socioeconomic status.

To examine the association between maternal education and excessive gestational weight gain (EGWG) and whether this association differs by maternal race/ethnicity and neighborhood socio-economic status (SES). A sample of 56,911 New York City births between 1999 and 2001 was used. Self-reported EGWG was defined as gaining >40 pounds. Maternal education and race/ethnicity were obtained from birth record data. Neighborhood SES was determined from 2000 US Census data. Women with a high school [prevalence ratio (PR) = 1.21; 95 % CI 1.10-1.32] and some college (PR = 1.33; 95 % CI 1.21-1.47) education were more likely to gain excessive weight during pregnancy than their counterparts with less than a high school education. Having a college or more education was associated with a decreased EGWG for non-Hispanic white women (PR = 0.81; 95 % CI 0.67-0.96) but an increased EGWG for Hispanic women (PR = 1.25; 95 % CI 1.12-1.44). EGWG increased for women with a college or more education in medium and low SES neighborhoods (1.26; 95 % CI 1.04-1.53 and 1.20; 95 % CI 1.10-1.30, respectively); whereas a college or more education was not significant in the high SES neighborhoods. Our findings suggest that maternal education is associated with EGWG. However, this association depends on race/ethnicity and SES of the neighborhood of residence.

Descriptive study of causes of death and COVID-19-associated morbidities from the New York City electronic death record: first wave of the pandemic March-July 2020.

OBJECTIVE: Assessing excess deaths from benchmarks across causes of death during the first wave of the COVID-19 pandemic and identifying morbidities most frequently mentioned alongside COVID-19 deaths in the death record. METHODS: Descriptive study of death records between 11 March 2020 and 27 July 2020, from the New York City Bureau of Vital Statistics. Mortality counts and percentages were compared with the average for the same calendar period of the previous 2 years. Distributions of morbidities from among forty categories of conditions were generated citywide and by sex, race/ethnicity and four age groups. Causes of death were assumed to follow Poisson processes for Z-score construction. RESULTS: Within the study period, 46 563 all-cause deaths were reported; 132.9% higher than the average for the same period of the previous 2 years (19 989). Of those 46 563 records, 19 789 (42.5%) report COVID-19 as underlying cause of death. COVID-19 was the most prevalent cause across all demographics, with respiratory conditions (prominently pneumonia), hypertension and diabetes frequently mentioned morbidities. Black non-Hispanics had greater proportions of mentions of pneumonia, hypertension, and diabetes. Hispanics had the largest proportion of COVID-19 deaths (52.9%). Non-COVID-19 excess deaths relative to the previous 2-year averages were widely reported. CONCLUSION: Mortality directly due to COVID-19 was accompanied by significant increases across most other causes from their reference averages, potentially suggesting a sizable COVID-19 death undercount. Indirect effects due to COVID-19 may partially account for some increases, but findings are hardly dispositive. Unavailability of vaccines for the time period precludes any impact over excess deaths. Respiratory and cardiometabolic-related conditions were most frequently reported among COVID-19 deaths across demographic characteristics.

Impact of new labor management guidelines on Cesarean rates among low-risk births at New York City hospitals: A controlled interrupted time series analysis.

PURPOSE: To examine the impact of the American College of Obstetricians and Gynecologists and Society for Maternal-Fetal Medicine (ACOG-SMFM) 2014 recommendations for preventing unnecessary primary Cesareans. METHODS: In a population-based cohort of births in New York City from 2012 to 2016, we used controlled interrupted time series analyses to estimate changes in age-standardized Cesarean rates among nulliparous, term, singleton vertex (NTSV) deliveries. RESULTS: Among 192,405 NTSV births across 40 hospitals, the age-standardized NTSV Cesarean rate decreased after the ACOG-SMFM recommendations from 25.8% to 24.0% (Risk ratio [RR]: 0.93; 95% CI 0.89, 0.97), with no change in the control series. Decreases were observed among non-Hispanic White women (RR: 0.89; 95% CI 0.82, 0.97), but not among non-Hispanic Black women (RR: 0.97; 95% CI 0.88, 1.07), Asian/Pacific Islanders (RR: 1.01; 95% CI 0.91, 1.12), or Hispanic women (RR: 0.94; 95% CI 0.86, 1.02). Similar patterns were observed at teaching hospitals, with no change at nonteaching hospitals. CONCLUSIONS: While low-risk Cesarean rates may be modifiable through changes in labor management, additional research, and interventions to address Cesarean disparities, are needed.

Recent Advances in the Use of the Mortality Syndromic Surveillance System-New York City, 2015-2020.

OBJECTIVE: New York City's automated mortality syndromic surveillance system monitors temporal and spatial patterns in mortality. To describe the use of the syndromic surveillance system, we used the system to find mortality patterns for the 15 leading causes of death and for deaths from rare and reportable diseases in New York City from February 2015 through June 2020. We used results to find aberrations that indicate threats to public health. METHODS: We used unobserved components models to analyze time series of mortality counts for leading causes of death, historical limits methods for rare and reportable diseases, and SaTScan for temporal-spatial cluster analysis. We obtained data on the number of deaths from the electronic death registry system maintained by the city's Bureau of Vital Statistics. RESULTS: The mortality syndromic surveillance system detected an increase in the number of deaths from heart disease by April 1, 2020, when 75.0 deaths occurred on March 24, 2020, instead of an expected 45.8 deaths (95% upper prediction limit of 61.0) and an increase in the number of deaths from all causes on March 20, 2020, when 194.0 deaths were observed while 150.1 deaths were expected (95% upper prediction limit of 178.0). The number of deaths from all causes returned to normal the week beginning June 14, 2020, when 990.0 deaths were observed and 998.8 deaths were expected. PRACTICE IMPLICATIONS: When compared with efforts from New York City to provide yearly vital statistics, the automated mortality syndromic surveillance system can provide timely mortality data with fewer resources and raise the capacity to detect anomalous increases in mortality.

The application of intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to examine birthweight inequities in New York City.

Exploring the intersection of dimensions of social identity is critical for understanding drivers of health inequities. We used multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) to examine the intersection of age, race/ethnicity, education, and nativity status on infant birthweight among singleton births in New York City from 2012 to 2018 (N = 725,875). We found evidence of intersectional effects of various systems of oppression on birthweight inequities and identified U.S.-born Black women as having infants of lower-than-expected birthweights. The MAIHDA approach should be used to identify intersectional causes of health inequities and individuals affected most to develop policies and interventions redressing inequities.

Neighborhood Food Environment and Birth Weight Outcomes in New York City.

Importance: Infants born with unhealthy birth weight are at greater risk for long-term health complications, but little is known about how neighborhood characteristics (eg, walkability, food environment) may affect birth weight outcomes. Objective: To assess whether neighborhood-level characteristics (poverty rate, food environment, and walkability) are associated with risk of unhealthy birth weight outcomes and to evaluate whether gestational weight gain mediated these associations. Design, Setting, and Participants: The population-based cross-sectional study included births in the 2015 vital statistics records from the New York City Department of Health and Mental Hygiene. Only singleton births and observations with complete birth weight and covariate data were included. Analyses were performed from November 2021 to March 2022. Exposures: Residential neighborhood-level characteristics, including poverty, food environment (healthy and unhealthy food retail establishments), and walkability (measured by both walkable destinations and a neighborhood walkability index combining walkability measures like street intersection and transit stop density). Neighborhood-level variables categorized into quartiles. Main Outcomes and Measures: The main outcomes were birth certificate birth weight measures including small for gestational age (SGA), large for gestational age (LGA), and sex-specific birth weight for gestational age z-score. Generalized linear mixed-effects models and hierarchical linear models estimated risk ratios for associations between density of neighborhood-level characteristics within a 1-km buffer of residential census block centroid and birth weight outcomes. Results: The study included 106 194 births in New York City. The mean (SD) age of pregnant individuals in the sample was 29.9 (6.1) years. Prevalence of SGA and LGA were 12.9% and 8.4%, respectively. Residence in the highest density quartile of healthy food retail establishments compared with the lowest quartile was associated with lower adjusted risk of SGA (with adjustment for individual covariates including gestational weight gain z-score: risk ratio [RR], 0.89; 95% CI 0.83-0.97). Higher neighborhood density of unhealthy food retail establishments was associated with higher adjusted risk of delivering an infant classified as SGA (fourth vs first quartile: RR, 1.12; 95% CI, 1.01-1.24). The RR for the association between density of unhealthy food retail establishments and risk of LGA was higher after adjustment for all covariates in each quartile compared with quartile 1 (second: RR, 1.12 [95% CI, 1.04-1.20]; third: RR, 1.18 [95% CI, 1.08-1.29]; fourth: RR, 1.16; [95% CI, 1.04-1.29]). There were no associations between neighborhood walkability and birth weight outcomes (SGA for fourth vs first quartile: RR, 1.01 [95% CI, 0.94-1.08]; LGA for fourth vs first quartile: RR, 1.06 [95% CI, 0.98-1.14]). Conclusions and Relevance: In this population-based cross-sectional study, healthfulness of neighborhood food environments was associated with risk of SGA and LGA. The findings support use of urban design and planning guidelines to improve food environments to support healthy pregnancies and birth weight.