Geetanjali R Kamath1, Anne S Renteria2, Sundar Jagannath3, Emily Jane Gallagher4, Samir Parekh3, Nina A Bickell5. 1. Department of Population Health Science and Policy, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY. 2. Division of Endocrinology, Diabetes and Bone Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY; Division of Hematology and Medical Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. 3. Department of Population Health Science and Policy, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Division of Hematology and Medical Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. 4. Department of Population Health Science and Policy, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Division of Endocrinology, Diabetes and Bone Disease, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. 5. Department of Population Health Science and Policy, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY; Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: nina.bickell@mssm.edu.
Abstract
PURPOSE: To visualize variation in multiple myeloma (MM) incidence and mortality rates by race-ethnicity and geographic location and evaluate their correlation with neighborhood-level population covariates within New York City (NYC). METHODS: Trends and racial differences in MM incidence and mortality for the United States [Surveillance, Epidemiology, and End Results Cancer Registry (SEER), National Center for Health Statistics], and NYC [New York State Cancer Registry] were compared using Joinpoint regression. Pearson's correlation coefficients measured neighborhood-level MM-covariate relationships (n = 34). RESULTS: MM incidence rates are double in African-Americans compared with Whites, in SEER-13 areas (rate ratio (RR) = 2.27; 95% confidence interval [CI] = 2.22-2.32) and NYC (RR = 2.11; 95% CI = 2.03-2.20). Incidence rates increased faster in NYC (average annual percentage change difference, -1.1; 95% CI, -2.3 to -0.1). NYC African-American men experienced the steepest increase in mortality rates after 2001. In NYC, strong neighborhood-level correlations exist between incidence and mortality rates and high prevalence of residents of African ancestry, Latin American birth, daily sugary beverage and low fruit and vegetable consumption, and neighborhood walkability. Higher MM mortality also correlates with Hispanic ethnicity, obesity, diabetes, poverty, HIV/AIDS, air benzene concentration, and indoor pesticide use. CONCLUSIONS: NYC neighborhoods with large minority populations have higher prevalence of poverty-related factors associated with MM incidence and mortality, warranting public health policies to address exposures and access to care.
PURPOSE: To visualize variation in multiple myeloma (MM) incidence and mortality rates by race-ethnicity and geographic location and evaluate their correlation with neighborhood-level population covariates within New York City (NYC). METHODS: Trends and racial differences in MM incidence and mortality for the United States [Surveillance, Epidemiology, and End Results Cancer Registry (SEER), National Center for Health Statistics], and NYC [New York State Cancer Registry] were compared using Joinpoint regression. Pearson's correlation coefficients measured neighborhood-level MM-covariate relationships (n = 34). RESULTS: MM incidence rates are double in African-Americans compared with Whites, in SEER-13 areas (rate ratio (RR) = 2.27; 95% confidence interval [CI] = 2.22-2.32) and NYC (RR = 2.11; 95% CI = 2.03-2.20). Incidence rates increased faster in NYC (average annual percentage change difference, -1.1; 95% CI, -2.3 to -0.1). NYC African-American men experienced the steepest increase in mortality rates after 2001. In NYC, strong neighborhood-level correlations exist between incidence and mortality rates and high prevalence of residents of African ancestry, Latin American birth, daily sugary beverage and low fruit and vegetable consumption, and neighborhood walkability. Higher MM mortality also correlates with Hispanic ethnicity, obesity, diabetes, poverty, HIV/AIDS, air benzene concentration, and indoor pesticide use. CONCLUSIONS: NYC neighborhoods with large minority populations have higher prevalence of poverty-related factors associated with MM incidence and mortality, warranting public health policies to address exposures and access to care.
Authors: Sandra India-Aldana; Andrew G Rundle; Anne Zeleniuch-Jacquotte; James W Quinn; Byoungjun Kim; Yelena Afanasyeva; Tess V Clendenen; Karen L Koenig; Mengling Liu; Kathryn M Neckerman; Lorna E Thorpe; Yu Chen Journal: Epidemiology Date: 2021-11-01 Impact factor: 4.822