Investigator

Sean Young

Assistant Professor · The University of Texas Southwestern Medical Center, Health Data Science and Biostatistics, Peter O'Donnell Jr. School of Public Health

SYSean Young
Papers(1)
Association of Neighb…
Collaborators(2)
Gilbert Z. MurimwaMuhammad Sohaib Khan
Institutions(1)
The University Of Tex…

Papers

Association of Neighborhood Social Vulnerability With Metastatic Cancer at Diagnosis

ABSTRACT Background Relationships between socioeconomic factors and metastatic cancer at diagnosis have not been well studied. Using CDC's Social Vulnerability Index (SVI) we studied the association of metastatic cancer at initial diagnosis with 16 social factors and their interaction with insurance status. Methods California and Texas cancer registries, merged with the SVI database, were used to identify adult patients diagnosed with breast, colorectal, liver, lung, ovarian, pancreatic, or prostate cancer from 2015 to 2019. To determine the association of SVI with metastatic cancer at initial diagnosis, multivariable binary logistic regression analyses were performed. Results Of the 654,016 patients included, 149,476 (21.5%) were diagnosed with metastatic cancer at diagnosis. Overall, the adjusted odds of metastasis at diagnosis increased by 5% for every 10 unit increase in SVI. Stratified by cancer type, the odds (95% confidence interval) of metastatic cancer at diagnosis were: breast 1.04 (1.03–1.05), colorectal 1.01 (1.01–1.02), liver 1.03 (1.02–1.05), lung 1.01 (1.01–1.02), pancreatic 1.02 (1.01–1.03), prostate 1.06 (1.05–1.07). Interaction analysis of insurance with SVI revealed that the marginal effect of the association between SVI and the risk of metastasis at initial diagnosis increased most substantially as SVI increased for patients who had insurance. It was relatively constant for uninsured and Medicaid patients, who had the overall highest average risk. Conclusions Increased neighborhood social vulnerability is associated with an increased risk of metastatic cancer at initial diagnosis. While uninsured patients or those on Medicaid had a higher risk, patients with other insurance types experienced the largest increases in risk associated with increasing SVI.

54Works
1Papers
2Collaborators
NeoplasmsNeoplasm MetastasisBird DiseasesColorectal NeoplasmsEhrlichiosisSpotted Fever Group RickettsiosisTick-Borne DiseasesCoinfection

Positions

2023–

Assistant Professor

The University of Texas Southwestern Medical Center · Health Data Science and Biostatistics, Peter O'Donnell Jr. School of Public Health

2017–

Assistant Professor

University of Arkansas for Medical Sciences · Environmental and Occupational Health

2019–

Adjunct Lecturer

University of Arkansas at Fayetteville · Geosciences

Education

2017

PhD

University of Iowa · Geographical and Sustainability Sciences

2013

Master of Arts

University of Arkansas Fayetteville · Geosciences

2011

Bachelor of Science

Brigham Young University · Geography

Country

US

Keywords
medical geographylandscape genetics