Race and Socioeconomic Status Limit Choice of Hospital among Colorectal Surgery Patients in New York City

2019 ◽  
Vol 229 (4) ◽  
pp. S161
Author(s):  
Numa P. Perez ◽  
David C. Chang ◽  
Sahael M. Stapleton ◽  
Zhi Ven Fong ◽  
Robert N. Goldstone ◽  
...  
Author(s):  
Matthew R. Lamb ◽  
Sasikiran Kandula ◽  
Jeffrey Shaman

AbstractNew York City has been one of the hotspots of the COVID-19 pandemic and during the first two months of the outbreak considerable variability in case positivity was observed across the city’s ZIP codes. In this study, we examined: a) the extent to which the variability in ZIP code level cases can be explained by aggregate markers of socioeconomic status and daily change in mobility; and b) the extent to which daily change in mobility independently predicts case positivity.Our analysis indicates that the markers considered together explained 56% of the variability in case positivity through April 1 and their explanatory power decreased to 18% by April 30. Our analysis also indicates that changes in mobility during this time period are not likely to be acting as a mediator of the relationship between ZIP-level SES and case positivity. During the middle of April, increases in mobility were independently associated with decreased case positivity. Together, these findings present evidence that heterogeneity in COVID-19 case positivity during the New York City spring outbreak was largely driven by residents’ socioeconomic status.


2013 ◽  
Vol 24 (6) ◽  
pp. 1069-1078 ◽  
Author(s):  
Farhad Islami ◽  
Amy R. Kahn ◽  
Nina A. Bickell ◽  
Maria J. Schymura ◽  
Paolo Boffetta

JAMA ◽  
2020 ◽  
Vol 324 (4) ◽  
pp. 390 ◽  
Author(s):  
Ukachi N. Emeruwa ◽  
Samsiya Ona ◽  
Jeffrey L. Shaman ◽  
Amy Turitz ◽  
Jason D. Wright ◽  
...  

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e018566 ◽  
Author(s):  
Tali Elfassy ◽  
Stella S Yi ◽  
Maria M Llabre ◽  
Neil Schneiderman ◽  
Marc Gellman ◽  
...  

ObjectiveTo determine whether neighbourhood socioeconomic status (SES) is associated with body mass index (BMI), waist circumference (WC) and biomarkers of diet (urinary sodium and potassium excretion).DesignA cross-sectional study.SettingThe data reported were from the 2010 Heart Follow-up Study, a population-based representative survey of 1645 adults.ParticipantsCommunity-dwelling diverse residents of New York City nested within 128 neighbourhoods (zip codes).Primary and secondary outcome measuresBMI (kg/m2) and WC (inches) were measured during in-home visits, and 24-hour urine sample was collected to measure biomarkers of diet: sodium (mg/day) and potassium (mg/day), with high sodium and low potassium indicative of worse diet quality.ResultsAfter adjusting for individual-level characteristics using multilevel linear regressions, low versus high neighbourhood SES tertile was associated with 1.83 kg/m2higher BMI (95% CI 0.41 to 3.98) and 251 mg/day lower potassium excretion (95% CI −409 to 93) among women only, with no associations among men (P values for neighbourhood SES by sex interactions <0.05).ConclusionOur results suggest that women may be particularly vulnerable to the effects of a socioeconomically disadvantaged neighbourhood. Future neighbourhood research should explore sex differences, as these can inform tailored interventions.Trial registration numberNCT01889589; Results.


Sign in / Sign up

Export Citation Format

Share Document