scholarly journals Hypertension Prevalence in New York City Adults: Unmasking Undetected Racial/Ethnic Variation, NYC HANES 2004

2016 ◽  
Vol 26 (3) ◽  
pp. 339 ◽  
Author(s):  
Ashley E. Giambrone ◽  
Linda M. Gerber ◽  
Jesica S. Rodriguez-Lopez ◽  
Chau Trinh-Shervin ◽  
Nadia Islam ◽  
...  

<p><strong>Objective: </strong>Using 2004 New York City Health and Nutrition Examination Survey (NYC HANES) data, we sought to examine variation in hypertension (HTN) prevalence across eight Asian and Hispanic subgroups. <strong></strong></p><p><strong>Design: </strong>Cross-sectional <strong></strong></p><p><strong>Setting: </strong>New York City, 2004 <strong></strong></p><p><strong>Main Outcome Measures: </strong>Logistic regression was performed to identify differences in HTN prevalence between ethnic subgroups controlling for age, sex, education and BMI. <strong></strong></p><p><strong>Results: </strong>Overall HTN prevalence among NYC adults was 25.5% (95% CI: 23.4-27.8), with 21.1% (95% CI: 18.2-24.3) among Whites, 32.8% (95% CI: 28.7-37.2) Black, 26.4% (95% CI: 22.3-31.0) Hispanics, and 24.7% (95% CI: 19.9-30.3) Asians. Among Hispanic subgroups, Dominicans had the highest HTN prevalence (32.2%), followed by Puerto Ricans (27.7%), while Mexicans had the lowest prevalence (8.1%). Among Asian subgroups, HTN prevalence was slightly higher among South Asians (29.9%) than among Chinese (21.3%). Adjusting for age, Dominican adults were nearly twice as likely to have HTN as non-Hispanic (NH) Whites (OR=1.96, 95% CI: 1.24-3.12), but this was attenuated after adjusting for sex and education (OR=1.27, 95% CI: .76 – 2.12). When comparing South Asians with NH Whites, results were also non-significant after adjustment (OR=2.00, 95% CI: .90-4.43). <strong></strong></p><p><strong>Conclusion: </strong>When analyzing racial/ethnic subgroups, NH Black and Hispanic adults from Dominican Republic had the highest HTN prevalence followed by South Asian and Puerto Rican adults. Mexican adults had the lowest prevalence of all groups. These findings highlight that ethnic subgroup differences go undetected when stratified by broader racial/ ethnic categories. To our knowledge, this is the first population-based study using objective measures to highlight these differences. <em>Ethn Dis. </em>2016;26(3):339-344; doi:10.18865/ed.26.3.339 </p>

2014 ◽  
Vol 17 (11) ◽  
pp. 2484-2488 ◽  
Author(s):  
Stella S Yi ◽  
Christine J Curtis ◽  
Sonia Y Angell ◽  
Cheryl AM Anderson ◽  
Molly Jung ◽  
...  

AbstractObjectiveTo contrast mean values of Na:K with Na and K mean intakes by demographic factors, and to calculate the prevalence of New York City (NYC) adults meeting the WHO guideline for optimal Na:K (<1 mmol/mmol, i.e. <0·59 mg/mg) using 24 h urinary values.DesignData were from the 2010 Community Health Survey Heart Follow-Up Study, a population-based, representative study including data from 24 h urine collections.SettingParticipants were interviewed using a dual-frame sample design consisting of random-digit dial telephone exchanges that cover NYC. Data were weighted to be representative of NYC adults as a whole.SubjectsThe final sample of 1656 adults provided 24 h urine collections and self-reported health data.ResultsMean Na:K in NYC adults was 1·7 mg/mg. Elevated Na:K was observed in young, minority, low-education and high-poverty adults. Only 5·2 % of NYC adults had Na:K in the optimal range.ConclusionsNa intake is high and K intake is low in NYC adults, leading to high Na:K. Na:K is a useful marker and its inclusion for nutrition surveillance in populations, in addition to Na and K intakes, is indicated.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wil Lieberman-Cribbin ◽  
Naomi Alpert ◽  
Raja Flores ◽  
Emanuela Taioli

Abstract Background New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC. Methods A cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020–07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors. Results The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (βadj = − 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (βadj = 0.90, SE = 0.38, p = 0.0200), median age (βadj = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (βadj = 5.84, SE = 0.82, p <  0.001) were statistically significantly positively associated with death rates. Conclusions Disparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Emily DiMango ◽  
Kaitlyn Simpson ◽  
Elizabeth Menten ◽  
Claire Keating ◽  
Weijia Fan ◽  
...  

Abstract Background Evidence is conflicting regarding differential health outcomes in racial and ethnic minorities with cystic fibrosis (CF), a rare genetic disease affecting approximately 28,000 Americans. We performed a cross-sectional analysis of health outcomes in Black/Latinx patients compared with non-Hispanic Caucasian patients cared for in a CF center in New York City. Adult patients enrolled in the CF Foundation Patient Registry at the Columbia University Adult CF Program and seen at least once during 2019 were included. Health metrics were compared between Black/Latinx and non-Hispanic Caucasian patients. Results 262 patients were eligible. 39 patients (15%) identified as Black/Latinx or non-Hispanic Caucasian. Descriptive statistics are reported with mean (standard deviation). Current age was 35.9 (13.3) years for non-Hispanic Caucasian and 32.0 (9.3) years for Black/Latinx patients (p = 0.087). Age of diagnosis did not differ between groups; 9.56 (15.96) years versus 11.59 (15.8) years for non-Hispanic Caucasian versus Black/Latinx respectively (p = 0.464). Pulmonary function, measured as mean forced expiratory volume in one second (FEV1) was 70.6 (22.5) percent predicted in non-Hispanic Caucasian versus 59.50 (27.9) percent predicted in Black/Latinx patients (p = 0.010). Number of visits to the CF clinic were similar between groups. When controlled for age, gender, co-morbidities, median income, and insurance status, there was a continued association between minority status and lower FEV1. Conclusions Minorities with CF have significantly lower pulmonary function, the major marker of survival, than non-Hispanic Caucasians, even when controlled for a variety of demographic and socioeconomic factors that are known to affect health status in CF. Significant health disparities based on race and ethnicity exist at a single CF center in New York City, despite apparent similarities in access to guideline based care at an accredited CF Center. This data confirms the importance of design of culturally appropriate preventative and management strategies to better understand how to direct interventions to this vulnerable population with a rare disease.


2011 ◽  
Vol 101 (3) ◽  
pp. 546-553 ◽  
Author(s):  
Bonnie D. Kerker ◽  
Jay Bainbridge ◽  
Joseph Kennedy ◽  
Yussef Bennani ◽  
Tracy Agerton ◽  
...  

2021 ◽  
Vol 56 (S2) ◽  
pp. 41-42
Author(s):  
Sanjay Pinto ◽  
Madeline Sterling ◽  
Faith Wiggins ◽  
Rebecca Hall ◽  
Chenjuan Ma

2011 ◽  
Vol 24 (8) ◽  
pp. 904-910 ◽  
Author(s):  
K. White ◽  
L. N. Borrell ◽  
D. W. Wong ◽  
S. Galea ◽  
G. Ogedegbe ◽  
...  

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