Demographic, Lifestyle, and Dietary Factors Associated with Red Meat Consumption Among A Cross-Section of New York City Residents

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Eric Brandt ◽  
Andrew Levin ◽  
Margaret Holland ◽  
Leah Ferrucci
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Meat Consumption ◽  
Red Meat ◽  
Dietary Factors ◽  
P Value ◽  
Factors Associated ◽  
Race Ethnicity ◽  
Zip Code

Introduction: Red meat reduction policies have become the focus of public policy in New York City (NYC). To inform on who might be impacted the most by these policies we sought to identify factors associated with red meat consumption among NYC residents.Methods: We studied non-institutionalized adults in the cross-sectional 2013-2014 NYC Health and Nutrition Examination Survey. The outcome was self-reported weekly red meat consumption. We used multivariable linear regression to assess the association of red meat consumption with age, gender, race/ethnicity, US nativity, education, marital status, percentage of ZIP-code in poverty, physical activity, smoking, alcohol, restaurant meals, and dietary components (dark-green vegetables, other vegetables, fresh fruit, poultry, fish/shellfish, sugar-sweetened soda (SSS), and sugar-sweetened fruit drink (SSFD)).Results: Among 1,495 subjects, higher frequency of red meat consumption was associated (-coefficient; p-value) with younger age (-0.08; p=.03), male gender (0.47; p<.001), and greater weekly consumption of alcohol (0.08; p<.001), poultry (0.16; p<.001), fish/shellfish (0.15; p=.01), SSS (0.14; p<.001), and SSFD (0.06; p=.005). Red meat consumption was also associated with race/ethnicity (p=.002), wherein Asian race/ethnicity had highest consumption and ZIP-code percent in poverty (p=.003) wherein those in ZIP-codes with ≥30% in poverty consumed the least red meat.Conclusion: Demographic, lifestyle, and dietary factors were associated with red meat consumption frequency in NYC. Public health efforts in NYC should consider these associations and differences from associations in national data when designing and evaluating outcomes from programs targeting reducing red meat consumption in NYC.

Clinical and Demographic Risk Factors for COVID-19 during Delivery Hospitalizations in New York City

2021 ◽  
Author(s):  
Desmond Sutton ◽  
Timothy Wen ◽  
Anna P. Staniczenko ◽  
Yongmei Huang ◽  
Maria Andrikopoulou ◽  
...  
Keyword(s):  
Risk Factors ◽  
New York ◽  
New York City ◽  
Logistic Regression ◽  
York City ◽  
Demographic Data ◽  
Outcome Data ◽  
Demographic Risk ◽  
Demographic Risk Factors ◽  
Zip Code

Objective This study was aimed to review 4 weeks of universal novel coronavirus disease 2019 (COVID-19) screening among delivery hospitalizations, at two hospitals in March and April 2020 in New York City, to compare outcomes between patients based on COVID-19 status and to determine whether demographic risk factors and symptoms predicted screening positive for COVID-19. Study Design This retrospective cohort study evaluated all patients admitted for delivery from March 22 to April 18, 2020, at two New York City hospitals. Obstetrical and neonatal outcomes were collected. The relationship between COVID-19 and demographic, clinical, and maternal and neonatal outcome data was evaluated. Demographic data included the number of COVID-19 cases ascertained by ZIP code of residence. Adjusted logistic regression models were performed to determine predictability of demographic risk factors for COVID-19. Results Of 454 women delivered, 79 (17%) had COVID-19. Of those, 27.9% (n = 22) had symptoms such as cough (13.9%), fever (10.1%), chest pain (5.1%), and myalgia (5.1%). While women with COVID-19 were more likely to live in the ZIP codes quartile with the most cases (47 vs. 41%) and less likely to live in the ZIP code quartile with the fewest cases (6 vs. 14%), these comparisons were not statistically significant (p = 0.18). Women with COVID-19 were less likely to have a vaginal delivery (55.2 vs. 51.9%, p = 0.04) and had a significantly longer postpartum length of stay with cesarean (2.00 vs. 2.67days, p < 0.01). COVID-19 was associated with higher risk for diagnoses of chorioamnionitis and pneumonia and fevers without a focal diagnosis. In adjusted analyses, including demographic factors, logistic regression demonstrated a c-statistic of 0.71 (95% confidence interval [CI]: 0.69, 0.80). Conclusion COVID-19 symptoms were present in a minority of COVID-19-positive women admitted for delivery. Significant differences in obstetrical outcomes were found. While demographic risk factors demonstrated acceptable discrimination, risk prediction does not capture a significant portion of COVID-19-positive patients. Key Points

Abstract S11-02: Factors associated with developing COVID-19 among cancer patients in New York City

2021 ◽  
Author(s):  
Monica F. Chen ◽  
Monica T. Coronel ◽  
Samuel Pan ◽  
Arreum Kim ◽  
Jessica Hawley ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Cancer Patients ◽  
York City ◽  
Factors Associated

Dental Caries Experience, Tooth Loss, and Factors Associated with Unmet Needs of Haitian Immigrants in New York City

2001 ◽  
Vol 61 (4) ◽  
pp. 203-209 ◽  
Author(s):  
Gustavo D. Cruz ◽  
Xiaonan Xue ◽  
Racquel Z. LeGeros ◽  
Nandor Halpert ◽  
Diana L. Galvis ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Dental Caries ◽  
York City ◽  
Tooth Loss ◽  
Unmet Needs ◽  
Caries Experience ◽  
Haitian Immigrants ◽  
Factors Associated

scholarly journals Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City

2020 ◽  
Vol 71 (11) ◽  
pp. 2933-2938 ◽  
Author(s):  
Keith Sigel ◽  
Talia Swartz ◽  
Eddye Golden ◽  
Ishan Paranjpe ◽  
Sulaiman Somani ◽  
...  
Keyword(s):  
New York ◽  
Human Immunodeficiency Virus ◽  
Mechanical Ventilation ◽  
New York City ◽  
York City ◽  
Cumulative Incidence ◽  
Clinical Characteristics ◽  
Hiv Status ◽  
Immunodeficiency Virus ◽  
Race Ethnicity

Abstract Background There are limited data regarding the clinical impact of coronavirus disease 2019 (COVID-19) on people living with human immunodeficiency virus (PLWH). In this study, we compared outcomes for PLWH with COVID-19 to a matched comparison group. Methods We identified 88 PLWH hospitalized with laboratory-confirmed COVID-19 in our hospital system in New York City between 12 March and 23 April 2020. We collected data on baseline clinical characteristics, laboratory values, HIV status, treatment, and outcomes from this group and matched comparators (1 PLWH to up to 5 patients by age, sex, race/ethnicity, and calendar week of infection). We compared clinical characteristics and outcomes (death, mechanical ventilation, hospital discharge) for these groups, as well as cumulative incidence of death by HIV status. Results Patients did not differ significantly by HIV status by age, sex, or race/ethnicity due to the matching algorithm. PLWH hospitalized with COVID-19 had high proportions of HIV virologic control on antiretroviral therapy. PLWH had greater proportions of smoking (P &lt; .001) and comorbid illness than uninfected comparators. There was no difference in COVID-19 severity on admission by HIV status (P = .15). Poor outcomes for hospitalized PLWH were frequent but similar to proportions in comparators; 18% required mechanical ventilation and 21% died during follow-up (compared with 23% and 20%, respectively). There was similar cumulative incidence of death over time by HIV status (P = .94). Conclusions We found no differences in adverse outcomes associated with HIV infection for hospitalized COVID-19 patients compared with a demographically similar patient group.

Spatial social polarization and birth outcomes: preterm birth and infant mortality – New York City, 2010–14

2017 ◽  
Vol 46 (1) ◽  
pp. 157-166 ◽  
Author(s):  
M. Huynh ◽  
J. Spasojevic ◽  
W. Li ◽  
G. Maduro ◽  
G. Van Wye ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Preterm Birth ◽  
Infant Mortality ◽  
Birth Outcomes ◽  
York City ◽  
Infant Mortality Rate ◽  
Neighborhood Poverty ◽  
Social Polarization ◽  
Race Ethnicity

Aims: This study assessed the relationship between spatial social polarization measured by the index of the concentration of the extremes (ICE) and preterm birth (PTB) and infant mortality (IM) in New York City. A secondary aim was to examine the ICE measure in comparison to neighborhood poverty. Methods: The sample included singleton births to adult women in New York City, 2010–2014 ( n=532,806). Three ICE measures were employed at the census tract level: ICE − Income (persons in households in the bottom vs top 20th percentile of US annual household income), ICE −Race/Ethnicity (black non-Hispanic vs white non-Hispanic populations), and ICE – Income + Race/Ethnicity combined. Preterm birth was defined as birth before 37 weeks’ gestation. Infant mortality was defined as a death before one year of age. A two-level generalized linear model with random intercept was utilized adjusting for individual-level covariates. Results: Preterm birth prevalence was 7.1% and infant mortality rate was 3.4 per 1000 live births. Women who lived in areas with the least privilege were more likely to have a preterm birth or infant mortality as compared to women living in areas with the most privilege. After adjusting for covariates, this association remained for preterm birth (ICE – Income: Adjusted Odds Ratio (AOR) 1.16 (1.10–1.21); ICE – Race/Ethnicity: AOR 1.41 (1.34–1.49); ICE – Income + Race/Ethnicity: AOR 1.36 (1.29–1.43)) and IM (ICE – Race/Ethnicity (AOR 1.80 (1.43–2.28) and ICE – Income + Race/Ethnicity (AOR 1.54 (1.23–1.94)). High neighborhood poverty was associated with PTB only (AOR 1.09 (1.04–1.14). Conclusions: These results provide preliminary evidence for the use of the ICE measure in examining structural barriers to healthy birth outcomes.

Factors Associated with Reverse-Migration Separation Among a Cohort of Low-Income Chinese Immigrant Families in New York City

2009 ◽  
Vol 48 (3) ◽  
pp. 348-359 ◽  
Author(s):  
Kenny Kwong ◽  
Henry Chung ◽  
Loretta Sun ◽  
Jolene C. Chou ◽  
Anna Taylor-Shih
Keyword(s):  
New York ◽  
New York City ◽  
Low Income ◽  
York City ◽  
Immigrant Families ◽  
Chinese Immigrant ◽  
Factors Associated ◽  
Reverse Migration ◽  
Chinese Immigrant Families

Incidence and risk factors for community-associated methicillin-resistant Staphylococcus aureus in New York City, 2006–2012

2015 ◽  
Vol 144 (5) ◽  
pp. 1014-1017 ◽  
Author(s):  
P. BAKER ◽  
B. COHEN ◽  
J. LIU ◽  
E. LARSON
Keyword(s):  
Risk Factors ◽  
New York ◽  
Staphylococcus Aureus ◽  
New York City ◽  
Logistic Regression ◽  
York City ◽  
Methicillin Resistant Staphylococcus Aureus ◽  
Methicillin Resistant ◽  
Factors Associated ◽  
History Of

SUMMARYThis study aims to describe changes in incidence and risk factors for community-associated methicillin resistant Staphylococcus aureus (CA-MRSA) infections upon admission to two New York City hospitals from 2006 to 2012. We examined the first hospitalization for adult patients using electronic health record and administrative data and determined the annual incidence/1000 admissions of total S. aureus, total MRSA, and CA-MRSA (within 48 h of admission) in clinical specimens over the study period. Logistic regression was used to identify factors associated with CA-MRSA in 2006 and 2012. In 137 350 admissions, the incidence of S. aureus, MRSA, and CA-MRSA/1000 admissions were 15·6, 7·0, and 3·5, respectively. The total S. aureus and MRSA isolations decreased significantly over the study period (27% and 25%, respectively) while CA-MRSA incidence was unchanged. CA-MRSA increased as a proportion of all MRSA between 2006 (46%) and 2012 (62%), and was most frequently isolated from respiratory (1·5/1000) and blood (0·7/1000) cultures. Logistic regression analysis of factors associated with isolation of CA-MRSA showed that age ⩾65 years [odds ratio (OR) 2·3, 95% confidence interval (CI) 1·2–4·5], male gender (OR 1·8, 95% CI 1·2–2·8) and history of renal failure (OR 2·6, 95% CI 1·6–4·2) were significant predictors of infection in 2006. No predictors were identified in 2012.

scholarly journals Hospital-level factors associated with death during pneumonia-associated hospitalization among adults—New York City, 2010–2014

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0256678
Author(s):  
Kate Whittemore ◽  
Kristian M. Garcia ◽  
Chaorui C. Huang ◽  
Sungwoo Lim ◽  
Demetre C. Daskalakis ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Death Rate ◽  
Teaching Hospitals ◽  
Hospital Death ◽  
Negative Binomial Regression Model ◽  
Hospital Level ◽  
American Hospital ◽  
Factors Associated

Background In New York City (NYC), pneumonia is a leading cause of death and most pneumonia deaths occur in hospitals. Whether the pneumonia death rate in NYC reflects reporting artifact or is associated with factors during pneumonia-associated hospitalization (PAH) is unknown. We aimed to identify hospital-level factors associated with higher than expected in-hospital pneumonia death rates among adults in NYC. Methods Data from January 1, 2010–December 31, 2014 were obtained from the New York Statewide Planning and Research Cooperative System and the American Hospital Association Database. In-hospital pneumonia standardized mortality ratio (SMR) was calculated for each hospital as observed PAH death rate divided by expected PAH death rate. To determine hospital-level factors associated with higher in-hospital pneumonia SMR, we fit a hospital-level multivariable negative binomial regression model. Results Of 148,172 PAH among adult NYC residents in 39 hospitals during 2010–2014, 20,820 (14.06%) resulted in in-hospital death. In-hospital pneumonia SMRs varied across NYC hospitals (0.77–1.23) after controlling for patient-level factors. An increase in average daily occupancy and membership in the Council of Teaching Hospitals were associated with increased in-hospital pneumonia SMR. Conclusions Differences in in-hospital pneumonia SMRs between hospitals might reflect differences in disease severity, quality of care, or coding practices. More research is needed to understand the association between average daily occupancy and in-hospital pneumonia SMR. Additional pneumonia-specific training at teaching hospitals can be considered to address higher in-hospital pneumonia SMR in teaching hospitals.

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