Trends in the Incidence and Mortality of Tobacco-Related Cancers Among Adults in the United States
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
3. Statistical Analysis
4. Results
5. Discussion
6. Strength and Limitations
7. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Gallaway, M.S.; Henley, S.J.; Steele, C.B.; Momin, B.; Thomas, C.C.; Jamal, A.; Trivers, K.F.; Singh, S.D.; Stewart, S.L. Surveillance for Cancers Associated with Tobacco Use—United States, 2010–2014. MMWR. Surveill. Summ. Morb. Mortal. Wkly. Rep. Surveill. Summ./CDC 2018, 67, 1–42. [Google Scholar] [CrossRef] [PubMed]
- Stewart, S.L.; Cardinez, C.J.; Richardson, L.C.; Norman, L.; Kaufmann, R.; Pechacek, T.F.; Thompson, T.D.; Weir, H.K.; Sabatino, S.A.; Centers for Disease, C.; et al. Surveillance for cancers associated with tobacco use—United States, 1999–2004. MMWR. Surveill. Summ. Morb. Mortal. Wkly. Rep. Surveill. Summ./CDC 2008, 57, 1–33. [Google Scholar]
- Collaborators, G.B.D.T. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: A systematic analysis from the Global Burden of Disease Study 2019. Lancet 2021, 397, 2337–2360. [Google Scholar] [CrossRef]
- Safiri, S.; Nejadghaderi, S.A.; Abdollahi, M.; Carson-Chahhoud, K.; Kaufman, J.S.; Bragazzi, N.L.; Moradi-Lakeh, M.; Mansournia, M.A.; Sullman, M.J.M.; Almasi-Hashiani, A.; et al. Global, regional, and national burden of cancers attributable to tobacco smoking in 204 countries and territories, 1990–2019. Cancer Med. 2022, 11, 2662–2678. [Google Scholar] [CrossRef]
- Dai, X.; Gakidou, E.; Lopez, A.D. Evolution of the global smoking epidemic over the past half century: Strengthening the evidence base for policy action. Tob. Control 2022, 31, 129–137. [Google Scholar] [CrossRef]
- Warren, G.W.; Alberg, A.J.; Kraft, A.S.; Cummings, K.M. The 2014 Surgeon General’s report: “The health consequences of smoking--50 years of progress”: A paradigm shift in cancer care. Cancer 2014, 120, 1914–1916. [Google Scholar] [CrossRef]
- Cornelius, M.E.; Loretan, C.G.; Jamal, A.; Davis Lynn, B.C.; Mayer, M.; Alcantara, I.C.; Neff, L. Tobacco Product Use Among Adults—United States, 2021. MMWR. Morb. Mortal. Wkly. Rep. 2023, 72, 475–483. [Google Scholar] [CrossRef] [PubMed]
- Cornelius, M.E.; Loretan, C.G.; Wang, T.W.; Jamal, A.; Homa, D.M. Tobacco Product Use Among Adults—United States, 2020. MMWR. Morb. Mortal. Wkly. Rep. 2022, 71, 397–405. [Google Scholar] [CrossRef]
- CDC. Smoking Cessation: A Report of the Surgeon General; US Department of Health and Human Services, CDC: Atlanta, GA, USA, 2020. Available online: https://www.hhs.gov/sites/default/files/2020-cessation-sgr-full-report.pdf (accessed on 10 December 2024).
- NPCR and SEER Incidence—USCS Public Use Databases. Available online: https://www.cdc.gov/united-states-cancer-statistics/public-use/index.html (accessed on 1 February 2025).
- Siegel, R.L.; Giaquinto, A.N.; Jemal, A. Cancer statistics, 2024. CA Cancer J. Clin. 2024, 74, 12–49. [Google Scholar] [CrossRef] [PubMed]
- Giaquinto, A.N.; Sung, H.; Miller, K.D.; Kramer, J.L.; Newman, L.A.; Minihan, A.; Jemal, A.; Siegel, R.L. Breast Cancer Statistics, 2022. CA Cancer J. Clin. 2022, 72, 524–541. [Google Scholar] [CrossRef] [PubMed]
- Wingo, P.A.; Cardinez, C.J.; Landis, S.H.; Greenlee, R.T.; Ries, L.A.; Anderson, R.N.; Thun, M.J. Long-term trends in cancer mortality in the United States, 1930–1998. Cancer 2003, 97, 3133–3275. [Google Scholar] [CrossRef]
- Murphy, S.L.; Kochanek, K.D.; Xu, J.; Heron, M. Deaths: Final Data for 2012. Natl. Vital. Stat. Rep. 2015, 63, 1–117. [Google Scholar] [PubMed]
- von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gotzsche, P.C.; Vandenbroucke, J.P.; Initiative, S. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Lancet 2007, 370, 1453–1457. [Google Scholar] [CrossRef] [PubMed]
- US Department of Health and Human Services. The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General; US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health: Atlanta, GA, USA, 2014. [Google Scholar]
- NAACCR Race and Ethnicity Work Group. NAACCR Guideline for Enhancing Hispanic/Latino Identification: Revised NAACCR Hispanic/Latino Identification Algorithm [NHIA v2.2.1]; North American Association of Central Cancer Registries: Springfield, IL, USA, 2011. [Google Scholar]
- National Cancer Institute. Joinpoint Regression Program; Version 5.3.0.0—November 2024; Statistical Methodology and Applications Branch, Surveillance Research Program; National Cancer Institute: Bethesda, MD, USA, 2024. [Google Scholar]
- Tiwari, R.C.; Clegg, L.X.; Zou, Z. Efficient interval estimation for age-adjusted cancer rates. Stat. Methods Med. Res. 2006, 15, 547–569. [Google Scholar] [CrossRef] [PubMed]
- Kim, H.J.; Fay, M.P.; Feuer, E.J.; Midthune, D.N. Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 2000, 19, 335–351. [Google Scholar] [CrossRef]
- Kleinbaum, D.G.; Kupper, L.L.; Muller, K.E.; Nizam, A. Applied Regression Analysis and Other Multivariable Methods, 2nd ed.; PWS-Kent: Boston, MA, USA, 1988. [Google Scholar]
- Brillinger, D.R. The natural variability of vital rates and associated statistics. Biometrics 1986, 42, 693–734. [Google Scholar] [CrossRef] [PubMed]
- National Center for Health Statistics. Survey Description, National Health Interview Survey, 2013; Hyattsville, Maryland. 2014. Available online: https://ftp.cdc.gov/pub/health_statistics/nchs/Dataset_Documentation/NHIS/2013/srvydesc.pdf (accessed on 1 February 2025).
- Shehata, S.A.; Toraih, E.A.; Ismail, E.A.; Hagras, A.M.; Elmorsy, E.; Fawzy, M.S. Vaping, Environmental Toxicants Exposure, and Lung Cancer Risk. Cancers 2023, 15, 4525. [Google Scholar] [CrossRef]
- Yang, D.; Liu, Y.; Bai, C.; Wang, X.; Powell, C.A. Epidemiology of lung cancer and lung cancer screening programs in China and the United States. Cancer Lett. 2020, 468, 82–87. [Google Scholar] [CrossRef]
- Liu, X.; Yu, Y.; Wang, M.; Mubarik, S.; Wang, F.; Wang, Y.; Meng, R.; Yu, C. The mortality of lung cancer attributable to smoking among adults in China and the United States during 1990–2017. Cancer Commun. 2020, 40, 611–619. [Google Scholar] [CrossRef] [PubMed]
- Lv, J.; Su, M.; Hong, Z.; Zhang, T.; Huang, X.; Wang, B.; Li, L. Implementation of the WHO Framework Convention on Tobacco Control in mainland China. Tob. Control 2011, 20, 309–314. [Google Scholar] [CrossRef]
- Chan, K.H.; Xiao, D.; Zhou, M.; Peto, R.; Chen, Z. Tobacco control in China. Lancet Public. Health 2023, 8, e1006–e1015. [Google Scholar] [CrossRef]
- Yang, G.; Wang, Y.; Wu, Y.; Yang, J.; Wan, X. The road to effective tobacco control in China. Lancet 2015, 385, 1019–1028. [Google Scholar] [CrossRef]
- Khan, Z.; Tonnies, J.; Muller, S. Smokeless tobacco and oral cancer in South Asia: A systematic review with meta-analysis. J. Cancer Epidemiol. 2014, 2014, 394696. [Google Scholar] [CrossRef] [PubMed]
- Coelho, K.R. Challenges of the oral cancer burden in India. J. Cancer Epidemiol. 2012, 2012, 701932. [Google Scholar] [CrossRef]
- Agaku, I.T.; Odani, S.; Okuyemi, K.S.; Armour, B. Disparities in current cigarette smoking among US adults, 2002–2016. Tob. Control 2020, 29, 269–276. [Google Scholar] [CrossRef] [PubMed]
- U.S. Census Bureau, 2019 American Community Survey, 1-year Estimates. Available online: https://www.census.gov/content/dam/Census/library/publications/2022/acs/acs-50.pdf (accessed on 19 November 2024).
- Issue Brief No. HP-2024-12 “Health Insurance Coverage and Access to Care Among Latinos: Recent Trends and Key Challenges”. Washington, DC: Office of the Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services. June 2024. Available online: https://aspe.hhs.gov/reports/health-insurance-coverage-access-care-latinos (accessed on 18 November 2024).
- Acevedo-Garcia, D.; Barbeau, E.; Bishop, J.A.; Pan, J.; Emmons, K.M. Undoing an epidemiological paradox: The tobacco industry’s targeting of US Immigrants. Am. J. Public. Health 2004, 94, 2188–2193. [Google Scholar] [CrossRef]
- Welch, H.G.; Schwartz, L.M.; Woloshin, S. Are increasing 5-year survival rates evidence of success against cancer? JAMA J. Am. Med. Assoc. 2000, 283, 2975–2978. [Google Scholar] [CrossRef]
- Warner, K.E. Tobacco control policies and their impacts. Past, present, and future. Ann. Am. Thorac. Soc. 2014, 11, 227–230. [Google Scholar] [CrossRef]
- Nogueira, L.M.; Boffa, D.J.; Jemal, A.; Han, X.; Yabroff, K.R. Medicaid Expansion Under the Affordable Care Act and Early Mortality Following Lung Cancer Surgery. JAMA Netw. Open 2024, 7, e2351529. [Google Scholar] [CrossRef]
- Ermer, T.; Walters, S.L.; Canavan, M.E.; Salazar, M.C.; Li, A.X.; Doonan, M.; Boffa, D.J. Understanding the Implications of Medicaid Expansion for Cancer Care in the US: A Review. JAMA Oncol. 2022, 8, 139–148. [Google Scholar] [CrossRef]
- Soni, A.; Sabik, L.M.; Simon, K.; Sommers, B.D. Changes in Insurance Coverage Among Cancer Patients Under the Affordable Care Act. JAMA Oncol. 2018, 4, 122–124. [Google Scholar] [CrossRef] [PubMed]
- Jemal, A.; Lin, C.C.; Davidoff, A.J.; Han, X. Changes in Insurance Coverage and Stage at Diagnosis Among Nonelderly Patients With Cancer After the Affordable Care Act. J. Clin. Oncol. 2017, 35, 3906–3915. [Google Scholar] [CrossRef]
- Bandi, P.; Minihan, A.K.; Siegel, R.L.; Islami, F.; Nargis, N.; Jemal, A.; Fedewa, S.A. Updated Review of Major Cancer Risk Factors and Screening Test Use in the United States in 2018 and 2019, with a Focus on Smoking Cessation. Cancer Epidemiol. Biomark. Prev. 2021, 30, 1287–1299. [Google Scholar] [CrossRef] [PubMed]
20–49 | 50–64 | 65+ | ||||
---|---|---|---|---|---|---|
Count | Rate | Count | Rate | Count | Rate | |
All | 53,735 | 453.1(449.2–456.9) | 201,570 | 3031.1(3017.6–3044.6) | 456,459 | 8524.9(8499.9–8550.0) |
Race/ethnicity | ||||||
Hispanic | 10,340 | 417.5(409.5–425.7) | 21,094 | 2320.5(2289.2–2352.0) | 32,733 | 6820.5(6745.2–6896.4) |
NHW | 31,048 | 459.8(454.7–465.0) | 141,691 | 3163.0(3146.0–3180.0) | 357,618 | 8821.8(8792.6–8851.0) |
NHB | 7572 | 478.3(467.5–489.3) | 26,842 | 3299.2(3259.3–3339.5) | 43,387 | 8424.8(8343.3–8506.9) |
NHAIAN | 646 | 672.3(621.1–726.5) | 1957 | 3836.5(3664.9–4014.2) | 2881 | 8260.8(7953.4–8577.2) |
NHAPI | 3297 | 346.8(335.0–358.9) | 7900 | 2034.8(1990.0–2080.5) | 16,323 | 5896.6(5805.1–5989.1) |
Stage | ||||||
Localized | 20,891 | 175.3(172.9–177.7) | 65,463 | 991.8(984.1–999.6) | 152,884 | 2852.9(2838.5–2867.4) |
Regional | 15,587 | 132.1(130.0–134.2) | 58,096 | 879.5(872.2–886.8) | 108,810 | 2014.2(2002.1–2026.4) |
Distant | 13,726 | 115.9(114.0–117.9) | 60,000 | 893.8(886.5–901.1) | 129,846 | 2421.1(2407.8–2434.5) |
Residence type | ||||||
Metro | 45,879 | 441.9(437.9–446.0) | 165,842 | 2923.1(2908.8–2937.5) | 375,917 | 8415.9(8388.7–8443.2) |
Non-metro | 7844 | 529.8(518.1–541.7) | 35,670 | 3664.1(3624.9–3703.6) | 80,441 | 9060.4(8997.2–9124.0) |
Region of Residence | ||||||
Northeast | 9101 | 444.7(435.6–454.0) | 37,293 | 2977.4(2946.6–3008.4) | 87,564 | 8744.1(8685.7–8802.9) |
Midwest | 10,276 | 469.9(460.9–479.1) | 42,359 | 3249.0(3217.4–3280.9) | 95,399 | 9066.7(9008.4–9125.2) |
South | 22,506 | 482.6(476.3–489.0) | 84,785 | 3295.7(3273.1–3318.3) | 182,342 | 8768.8(8728.1–8809.6) |
West | 11,852 | 399.7(392.5–407.0) | 37,133 | 2444.9(2419.7–2470.3) | 91,154 | 7470.8(7421.8–7520.0) |
Male | 26,969 | 453.4(448.0–458.8) | 121,562 | 3693.7(3672.6–3714.9) | 265,028 | 11,224.4(11,180.8–11,268.2) |
Race/ethnicity | ||||||
Hispanic | 4765 | 374.3(363.7–385.2) | 12,480 | 2738.9(2691.0–2787.4) | 18,457 | 8939.5(8806.0–9074.5) |
NHW | 16,069 | 469.3(462.1–476.7) | 86,498 | 3859.3(3833.0–3885.9) | 209,913 | 11,565.7(11,515.4–11,616.2) |
NHB | 3755 | 498.7(482.8–515.1) | 15,391 | 4042.3(3977.9–4107.5) | 23,623 | 11,382.1(11,228.8–11,536.9) |
NHAIAN | 310 | 655.1(583.6–732.5) | 1159 | 4723.2(4450.6–5008.3) | 1548 | 9924.4(9416.3–10,453.3) |
NHAPI | 1650 | 362.9(345.5–380.9) | 4689 | 2567.7(2494.4–2642.6) | 9282 | 7760.5(7600.4–7923.1) |
Stage | ||||||
Localized | 9534 | 159.7(156.5–162.9) | 38,040 | 1162.2(1150.3–1174.1) | 88,001 | 3727.4(3702.2–3752.6) |
Regional | 8041 | 136.0(133.0–139.0) | 36,245 | 1109.5(1097.9–1121.2) | 62,545 | 2587.5(2566.8–2608.3) |
Distant | 7385 | 124.0(121.2–126.9) | 35,133 | 1059.9(1048.6–1071.2) | 71,994 | 3033.9(3011.2–3056.6) |
Residence type | ||||||
Metro | 22,983 | 443.3(437.6–449.1) | 99,813 | 3565.1(3542.7–3587.6) | 216,583 | 11,080.2(11,032.6–11,128.1) |
Non-metro | 3980 | 520.3(504.2–536.7) | 21,720 | 4433.7(4373.2–4494.9) | 48,383 | 11,900.6(11,792.3–12,009.6) |
Region of Residence | ||||||
Northeast | 4605 | 452.3(439.3–465.6) | 22,293 | 3611.9(3563.7–3660.6) | 49,620 | 11,498.7(11,395.6–11,602.6) |
Midwest | 5337 | 483.7(470.8–496.9) | 25,620 | 3935.2(3886.1–3984.8) | 55,422 | 11,917.9(11,816.3–12,020.2) |
South | 11,161 | 481.2(472.3–490.2) | 51,150 | 4055.9(4020.3–4091.8) | 106,796 | 11,659.6(11,588.2–11,731.3) |
West | 5866 | 388.8(378.9–398.9) | 22,499 | 2957.5(2918.5–2997.0) | 53,190 | 9708.4(9624.2–9793.0) |
Female | 26,766 | 453.3(447.9–458.8) | 80,008 | 2387.2(2370.3–2404.2) | 191,431 | 6431.1(6402.0–6460.2) |
Race/ethnicity | ||||||
Hispanic | 5575 | 464.9(452.7–477.3) | 8614 | 1905.0(1864.9–1945.8) | 14,276 | 5249.8(5162.9–5337.9) |
NHW | 14,979 | 450.1(442.9–457.3) | 55,193 | 2470.0(2448.7–2491.4) | 147,705 | 6636.6(6602.5–6670.8) |
NHB | 3817 | 460.8(446.2–475.8) | 11,451 | 2650.7(2601.6–2700.5) | 19,764 | 6476.1(6384.3–6568.8) |
NHAIAN | 336 | 690.2(617.8–768.4) | 798 | 3019.4(2808.5–3242.1) | 1333 | 6954.7(6578.0–7347.4) |
NHAPI | 1647 | 332.7(316.8–349.2) | 3211 | 1566.9(1512.8–1622.5) | 7041 | 4484.4(4378.8–4592.0) |
Stage | ||||||
Localized | 11,357 | 191.5(188.0–195.1) | 27,423 | 826.5(816.5–836.6) | 64,883 | 2181.8(2164.9–2198.8) |
Regional | 7546 | 128.3(125.5–131.3) | 21,851 | 655.5(646.7–664.5) | 46,265 | 1555.0(1540.7–1569.3) |
Distant | 6341 | 107.7(105.1–110.4) | 24,867 | 732.4(723.2–741.8) | 57,852 | 1944.6(1928.7–1960.7) |
Residence type | ||||||
Metro | 22,896 | 441.1(435.4–446.9) | 66,029 | 2302.6(2284.7–2320.6) | 159,334 | 6377.4(6345.8–6409.1) |
Non-metro | 3864 | 540.7(523.8–558.1) | 13,950 | 2892.8(2843.2–2943.1) | 32,058 | 6704.2(6630.5–6778.6) |
Region of Residence | ||||||
Northeast | 4496 | 437.8(425.1–450.9) | 15,000 | 2366.7(2328.1–2405.8) | 37,944 | 6705.1(6637.0–6773.6) |
Midwest | 4939 | 456.0(443.4–469.0) | 16,739 | 2570.0(2530.1–2610.4) | 39,977 | 6855.6(6787.8–6924.0) |
South | 11,345 | 484.6(475.7–493.6) | 33,635 | 2569.4(2541.4–2597.5) | 75,546 | 6527.3(6480.5–6574.4) |
West | 5986 | 411.8(401.3–422.4) | 14,634 | 1936.2(1904.4–1968.5) | 37,964 | 5670.6(5613.2–5728.5) |
20–49 | 50–64 | 65+ | ||||
---|---|---|---|---|---|---|
Count | Rate | Count | Rate | Count | Rate | |
All | ||||||
Lip, oral cavity, and pharynx | 4555 | 38.4(37.3–39.5) | 18,853 | 286.3(282.1–290.5) | 25,652 | 466.1(460.4–471.9) |
Esophagus | 832 | 7.1(6.7–7.6) | 5696 | 84.2(82.0–86.5) | 12,106 | 224.0(220.0–228.0) |
Stomach | 2783 | 23.5(22.6–24.4) | 7690 | 116.9(114.3–119.6) | 16,488 | 308.3(303.5–313.1) |
Colon and rectum | 17,567 | 148.4(146.2–150.6) | 44,695 | 708.1(701.4–714.9) | 79,168 | 1485.5(1475.1–1496.0) |
Liver | 1088 | 9.1(8.6–9.6) | 9003 | 130.0(127.3–132.7) | 18,154 | 328.5(323.7–333.4) |
Pancreas | 2634 | 22.3(21.5–23.2) | 14,009 | 208.0(204.5–211.6) | 39,000 | 733.6(726.2–741.0) |
Larynx | 573 | 4.9(4.5–5.3) | 4421 | 65.2(63.3–67.2) | 6628 | 120.3(117.3–123.2) |
Trachea, lung, and bronchus | 4812 | 41.1(40.0–42.3) | 52,948 | 761.7(755.1–768.3) | 151,869 | 2841.5(2827.1–2856.0) |
Cervix uteri | 6128 | 103(100.4–105.6) | 3670 | 118.2(114.3–122.2) | 2735 | 90.1(86.7–93.6) |
Kidney and renal pelvis | 8722 | 74.0(72.4–75.6) | 22,716 | 349.4(344.8–354.1) | 36,150 | 661.1(654.2–668.1) |
Urinary bladder | 2104 | 17.8(17.0–18.6) | 14,769 | 215.1(211.6–218.7) | 58,538 | 1116.2(1107.1–1125.4) |
Acute myeloid leukemia | 1937 | 15.5(14.8–16.2) | 3100 | 46.5(44.9–48.2) | 9971 | 190.2(186.5–194.0) |
Male | ||||||
Lip, oral cavity, and pharynx | 3009 | 50.7(48.9–52.5) | 14,248 | 438(430.7–445.4) | 17,792 | 717.7(707–728.6) |
Esophagus | 684 | 11.6(10.8–12.5) | 4550 | 136.4(132.4–140.5) | 9474 | 394.1(386–402.3) |
Stomach | 1411 | 23.6(22.4–24.9) | 4610 | 140.6(136.5–144.8) | 9895 | 420.9(412.5–429.5) |
Colon and rectum | 9224 | 155(151.8–158.2) | 25,841 | 824.5(814.3–834.8) | 39,770 | 1695.90(1678.90–1713.00) |
Liver | 703 | 11.7(10.8–12.6) | 7116 | 208.7(203.8–213.7) | 12,986 | 518.7(509.6–527.9) |
Pancreas | 1383 | 23.4(22.2–24.7) | 7948 | 239.7(234.3–245.1) | 19,672 | 839.6(827.6–851.7) |
Larynx | 396 | 6.8(6.1–7.5) | 3357 | 100(96.6–103.5) | 5422 | 221.5(215.5–227.6) |
Trachea, lung, and bronchus | 2352 | 40(38.4–41.6) | 25,974 | 756.8(747.5–766.2) | 76,548 | 3243.80(3220.40–3267.40) |
Kidney and renal pelvis | 5357 | 90.3(87.9–92.8) | 15,070 | 469.1(461.5–476.8) | 22,788 | 930.6(918.3–943.1) |
Urinary bladder | 1530 | 25.7(24.4–27) | 11,107 | 327.3(321.2–333.6) | 45,005 | 1991.50(1972.70–2010.30) |
Acute myeloid leukemia | 920 | 14.5(13.6–15.5) | 1741 | 52.7(50.2–55.3) | 5676 | 250.1(243.5–256.9) |
Female | ||||||
Lip, oral cavity, and pharynx | 1546 | 26(24.7–27.3) | 4605 | 138.3(134.2–142.4) | 7860 | 260.8(255.1–266.7) |
Esophagus | 148 | 2.5(2.2–3) | 1146 | 33.5(31.6–35.6) | 2632 | 88.3(85–91.8) |
Stomach | 1372 | 23.3(22.1–24.6) | 3080 | 94(90.6–97.4) | 6593 | 221(215.7–226.5) |
Colon and rectum | 8343 | 141.8(138.8–144.9) | 18,854 | 594.5(585.8–603.2) | 39,398 | 1318.70(1305.50–1331.90) |
Liver | 385 | 6.4(5.8–7.1) | 1887 | 53.7(51.2–56.2) | 5168 | 172.2(167.5–177) |
Pancreas | 1251 | 21.2(20.1–22.5) | 6061 | 177.2(172.7–181.8) | 19,328 | 650.3(641.1–659.7) |
Larynx | 177 | 3(2.6–3.5) | 1064 | 31.5(29.6–33.5) | 1206 | 39.5(37.3–41.8) |
Trachea, lung, and bronchus | 2460 | 42.3(40.6–44) | 26,974 | 766.9(757.6–776.3) | 75,321 | 2543.30(2525.00–2561.70) |
Cervix uteri | 6128 | 103(100.4–105.6) | 3670 | 118.2(114.3–122.2) | 2735 | 90.1(86.7–93.6) |
Kidney and renal pelvis | 3365 | 57.4(55.5–59.4) | 7646 | 232.6(227.3–238) | 13,362 | 444.6(437–452.2) |
Urinary bladder | 574 | 9.8(9–10.6) | 3662 | 106.3(102.9–109.9) | 13,533 | 457(449.2–464.8) |
Acute myeloid leukemia | 1017 | 16.5(15.5–17.5) | 1359 | 40.6(38.4–42.9) | 4295 | 145.2(140.9–149.7) |
Death Count | ||||
---|---|---|---|---|
Age group | 20–49 | 50–64 | 65+ | 20+ |
1975–2022 | ||||
All | 791,015 | 3,765,025 | 10,160,947 | 14,716,987 |
Males | 445,025 | 2,386,300 | 5,776,508 | 8,607,833 |
Females | 345,990 | 1,378,725 | 4,384,439 | 6,109,154 |
2022 | ||||
All | 12,401 | 75,988 | 254,355 | 342,744 |
Males | 6785 | 45,814 | 143,743 | 196,342 |
Females | 5616 | 30,174 | 110,612 | 146,402 |
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Mansingka, N.; Adekanmbi, V.; Hsu, C.D.; Hoang, T.N.; Baillargeon, J.G.; Berenson, A.B.; Guo, F. Trends in the Incidence and Mortality of Tobacco-Related Cancers Among Adults in the United States. Cancers 2025, 17, 534. https://doi.org/10.3390/cancers17030534
Mansingka N, Adekanmbi V, Hsu CD, Hoang TN, Baillargeon JG, Berenson AB, Guo F. Trends in the Incidence and Mortality of Tobacco-Related Cancers Among Adults in the United States. Cancers. 2025; 17(3):534. https://doi.org/10.3390/cancers17030534
Chicago/Turabian StyleMansingka, Nandika, Victor Adekanmbi, Christine D. Hsu, Thao N. Hoang, Jacques G. Baillargeon, Abbey B. Berenson, and Fangjian Guo. 2025. "Trends in the Incidence and Mortality of Tobacco-Related Cancers Among Adults in the United States" Cancers 17, no. 3: 534. https://doi.org/10.3390/cancers17030534
APA StyleMansingka, N., Adekanmbi, V., Hsu, C. D., Hoang, T. N., Baillargeon, J. G., Berenson, A. B., & Guo, F. (2025). Trends in the Incidence and Mortality of Tobacco-Related Cancers Among Adults in the United States. Cancers, 17(3), 534. https://doi.org/10.3390/cancers17030534