PURPOSE: Although disparities in colorectal cancer (CRC) with regard to race, socioeconomic status, and geography are well documented, the extent to which these factors contribute to premature death resulting from CRC nationwide and by state is unknown. PATIENTS AND METHODS: We calculated age-standardized CRC death rates for three broad educational categories as a marker of socioeconomic status by race/ethnicity and state among individuals age 25 to 64 years from 2008 through 2010. We also calculated the proportion of premature death resulting from CRC that could potentially be averted in each state by applying the average death rate for the five states with the lowest rates among the most educated whites (Connecticut, North Dakota, Utah, Vermont, and Wisconsin) to all populations. RESULTS: Compared with those with the most education, those with the least education had significantly higher CRC death rates in virtually all states for each racial/ethnic group. For example, rate ratios ranged from 1.15 (95% CI, 0.66 to 2.01) in Delaware to 3.18 (95% CI, 2.01 to 5.05) in New Mexico among whites. Overall, half the premature deaths resulting from CRC that occurred nationwide from 2008 through 2010, or 7,690 deaths annually, would have been avoided if everyone had experienced the lowest death rates of the most educated whites. More premature deaths could be averted in southern states (60% to 70%) than in northern and western states (30% to 40%). Restricting the analyses to persons age 50 to 64 years, for whom CRC screening is recommended, resulted in similar findings. CONCLUSION: The majority of premature deaths from CRC in southern states and half these deaths nationwide are due to racial/ethnic, socioeconomic, and geographic inequalities.
PURPOSE: Although disparities in colorectal cancer (CRC) with regard to race, socioeconomic status, and geography are well documented, the extent to which these factors contribute to premature death resulting from CRC nationwide and by state is unknown. PATIENTS AND METHODS: We calculated age-standardized CRC death rates for three broad educational categories as a marker of socioeconomic status by race/ethnicity and state among individuals age 25 to 64 years from 2008 through 2010. We also calculated the proportion of premature death resulting from CRC that could potentially be averted in each state by applying the average death rate for the five states with the lowest rates among the most educated whites (Connecticut, North Dakota, Utah, Vermont, and Wisconsin) to all populations. RESULTS: Compared with those with the most education, those with the least education had significantly higher CRC death rates in virtually all states for each racial/ethnic group. For example, rate ratios ranged from 1.15 (95% CI, 0.66 to 2.01) in Delaware to 3.18 (95% CI, 2.01 to 5.05) in New Mexico among whites. Overall, half the premature deaths resulting from CRC that occurred nationwide from 2008 through 2010, or 7,690 deaths annually, would have been avoided if everyone had experienced the lowest death rates of the most educated whites. More premature deaths could be averted in southern states (60% to 70%) than in northern and western states (30% to 40%). Restricting the analyses to persons age 50 to 64 years, for whom CRC screening is recommended, resulted in similar findings. CONCLUSION: The majority of premature deaths from CRC in southern states and half these deaths nationwide are due to racial/ethnic, socioeconomic, and geographic inequalities.
Authors: Vanessa P Ho; Emily Steinhagen; Kelsey Angell; Suparna M Navale; Nicholas K Schiltz; Andrew P Reimer; Elizabeth A Madigan; Siran M Koroukian Journal: J Surg Res Date: 2017-11-09 Impact factor: 2.192
Authors: Laurie E Steffen; Kenneth M Boucher; Barbara H Damron; Lisa M Pappas; Scott T Walters; Kristina G Flores; Watcharaporn Boonyasiriwat; Sally W Vernon; Antoinette M Stroup; Marc D Schwartz; Sandra L Edwards; Wendy K Kohlmann; Jan T Lowery; Charles L Wiggins; Deirdre A Hill; John C Higginbotham; Randall Burt; Rebecca G Simmons; Anita Y Kinney Journal: Cancer Epidemiol Biomarkers Prev Date: 2015-06-22 Impact factor: 4.254
Authors: J Bliton; P Muscarella; P Friedmann; M Parides; K Papalezova; J C McAuliffe; H In Journal: J Gastrointest Surg Date: 2019-01-16 Impact factor: 3.452
Authors: Zahava Berkowitz; Xingyou Zhang; Thomas B Richards; Marion Nadel; Lucy A Peipins; James Holt Journal: Cancer Epidemiol Biomarkers Prev Date: 2018-03 Impact factor: 4.254
Authors: Arica White; Djenaba Joseph; Sun Hee Rim; Christopher J Johnson; Michel P Coleman; Claudia Allemani Journal: Cancer Date: 2017-12-15 Impact factor: 6.860