Over the past three decades, Hepatocellular Carcinoma (HCC) is one of few cancers for which incidence has increased in the United States (US). It is likely social determinants at the population level are driving this increase. We designed a population-based study to explore whether social determinants at the neighborhood level are geographically associated with HCC incidence in Louisiana by examining the association of HCC incidence with neighborhood concentrated disadvantage. Primary HCC cases diagnosed from 2008 to 2012 identified from the Louisiana Tumor Registry were geocoded to census tract of residence at the time of diagnosis. Neighborhood concentrated disadvantage index (CDI) for each census tract was calculated according to the PhenX Toolkit data protocol based on population and socioeconomic measures from the US Census. The incidence of HCC was modeled using multilevel binomial regression with individuals nested within neighborhoods. The study included 1,418 HCC cases. Incidence of HCC was greater among males than females and among black than white. In multilevel models controlling for age, race, and sex, neighborhood CDI was positively associated with the incidence of HCC. A one standard deviation increase in CDI was associated with a 22% increase in HCC risk [Risk Ratio (RR) = 1.22; 95% CI (1.15, 1.31)]. Adjusting for contextual effects of an individual's neighborhood reduced the disparity in HCC incidence. Neighborhood concentrated disadvantage, a robust measure of an adverse social environment, was found to be a geographically associated with HCC incidence. Differential exposure to neighborhoods characterized by concentrated disadvantage partially explained the racial disparity in HCC for Louisiana. Our results suggest that increasing rates of HCC, and existing racial disparities for the disease, are partially explained by measures of an adverse social environment.
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http://dx.doi.org/10.3389/fonc.2018.00375 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Background: Timely rehabilitative care is vital for functional recovery after stroke. Social determinants may influence access to and use of post-stroke care but have been inadequately explored. The study examined the relationship between the Social Vulnerability Index (SVI) and community-based rehabilitation utilization.
View Article and Find Full Text PDFNeural Netw
January 2025
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China; Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, 518060, China. Electronic address:
Ann Thorac Surg Short Rep
December 2024
Division of Cardiology, Department of Pediatrics, Children's National Hospital, Washington, DC.
Background: Disadvantaged socioeconomic status correlates with adverse outcomes for patients with congenital heart disease. We examined individual and neighborhood characteristics associated with adverse short-term surgical outcomes and investigated potential drivers of disparities.
Methods: Single-center retrospective analysis collected clinical and demographic information on cardiovascular surgery patients over a 15-year period (2007-2022) from the District of Columbia metropolitan area.
J Community Psychol
January 2025
Rory Meyers College of Nursing, New York University, New York, New York, USA.
The COVID-19 pandemic profoundly impacted population mental health worldwide. Few studies examined how the neighborhood environment and online social connections might influence the social gradient in mental health during the pandemic lockdown. We aim to examine the moderating and mediating role of neighborhood environment and online social connections in the association between socioeconomic status (SES) and mental health outcomes.
View Article and Find Full Text PDFJ Community Psychol
January 2025
Center for Health Equity, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Neighborhood factors and the built environment (e.g., sidewalks, bike lanes and public transportation) are important social determinants of mental health.
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