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Disparities in Cutaneous T-Cell Lymphoma Incidence by Race/Ethnicity and Area-Based Socioeconomic Status

Author

Listed:
  • Daniel Wiese

    (Department of Surveillance and Health Equity Science, American Cancer Society, Kennesaw, GA 30144, USA
    Department of Geography and Urban Studies, Temple University, Philadelphia, PA 19122, USA)

  • Antoinette M. Stroup

    (New Jersey State Cancer Registry, New Jersey Department of Health, Trenton, NJ 08608, USA
    Rutgers Cancer Institute of New Jersey, Rutgers Biomedical and Health Sciences, New Brunswick, NJ 08901, USA
    Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854, USA)

  • Alina Shevchenko

    (Department of Dermatology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA)

  • Sylvia Hsu

    (Department of Dermatology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA)

  • Kevin A. Henry

    (Department of Geography and Urban Studies, Temple University, Philadelphia, PA 19122, USA
    Division of Cancer Prevention and Control, Fox Chase Cancer Center, Philadelphia, PA 19115, USA)

Abstract

Cutaneous T-cell lymphoma (CTCL) is a rare type of extranodal non-Hodgkin lymphoma (NHL). This study uses population-based data from the New Jersey (NJ) State Cancer Registry to examine geographic variation in CTCL incidence and evaluates whether CTCL risk varies by race/ethnicity and census tract socioeconomic status (SES). The study included 1163 cases diagnosed in NJ between 2006 and 2014. Geographic variation and possible clustering of high CTCL rates were assessed using Bayesian geo-additive models. The associations between CTCL risk and race/ethnicity and census tract SES, measured as median household income, were examined using Poisson regression. CTCL incidence varied across NJ, but there were no statistically significant geographic clusters. After adjustment for age, sex, and race/ethnicity, the relative risk (RR) of CTCL was significantly higher (RR = 1.47, 95% confidence interval: 1.22–1.78) in the highest income quartile than in the lowest. The interactions between race/ethnicity and SES indicated that the income gradients by RR were evident in all groups. Compared to non-Hispanic White individuals in low-income tracts, CTCL risk was higher among non-Hispanic White individuals in high-income tracts and among non-Hispanic Black individuals in tracts of all income levels. Our findings suggest racial disparities and a strong socioeconomic gradient with higher CTCL risk among cases living in census tracts with higher income compared to those living in lower-income tracts.

Suggested Citation

  • Daniel Wiese & Antoinette M. Stroup & Alina Shevchenko & Sylvia Hsu & Kevin A. Henry, 2023. "Disparities in Cutaneous T-Cell Lymphoma Incidence by Race/Ethnicity and Area-Based Socioeconomic Status," IJERPH, MDPI, vol. 20(4), pages 1-10, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3578-:d:1071967
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    References listed on IDEAS

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    2. Xiaoping Jin & Bradley P. Carlin & Sudipto Banerjee, 2005. "Generalized Hierarchical Multivariate CAR Models for Areal Data," Biometrics, The International Biometric Society, vol. 61(4), pages 950-961, December.
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