1. Department of Epidemiology & Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China
2. Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China
3. School of Public Health, Wannan Medical College, Wuhu 241002, China
4. Department of Epidemiology, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht 6229ER, the Netherlands
5. VieCuri Medical Center, Department of Clinical Epidemiology, Venlo, The Netherlands
6. School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht 6229 ER, the Netherlands
7. Ma’anshan Center for Disease Control and Prevention, Ma’anshan 243011, China
qqr2022@163.com
evan.yu@maastrichtuniversity.nl
Show less
History+
Received
Accepted
Published Online
2025-09-16
2026-03-16
2026-07-21
PDF
(3193KB)
Abstract
This study used UK Biobank data from ~500 000 participants to examine how smoking intensity and duration jointly shape the risk of 12 smoking-related cancers. We modeled excess relative risks (ERRs) per pack-year, separating the effect of smoking intensity while holding total pack-years constant to compare low-intensity/long-duration with high-intensity/short-duration patterns. For the same cumulative exposure, cancer risk increases differed across these smoking patterns, indicating that pack-years alone do not fully capture carcinogenic risk. We further evaluated time since cessation (TSC) and found that longer TSC was associated with lower ERR/pack-year for most cancers. Lifestyle factors modified these associations: participants with favorable behaviors (e.g., regular physical activity and healthier diet) generally had lower ERRs/pack-year than those with unfavorable behaviors. Overall, our findings show that smoking pattern and cessation history meaningfully influence pan-cancer risk beyond cumulative exposure, supporting the incorporation of detailed smoking histories—intensity, duration, and cessation—into risk stratification, screening eligibility, and prevention strategies.
Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin2024; 74(1): 12–49
[2]
Thomson B, Emberson J, Lacey B, Lewington S, Peto R, Islami F. Association of smoking initiation and cessation across the life course and cancer mortality: prospective study of 410 000 US adults. JAMA Oncol2021; 7(12): 1901–1903
[3]
Tu H, Ye Y, Huang M, Xie K, Chow WH, Zhao H, Wu X. Smoking, smoking cessation, and survival after cancer diagnosis in 128, 423 patients across cancer types. Cancer Commun (Lond)2022; 42(12): 1421–1424
[4]
Thun MJ, Carter BD, Feskanich D, Freedman ND, Prentice R, Lopez AD, Hartge P, Gapstur SM. 50-year trends in smoking-related mortality in the United States. N Engl J Med2013; 368(4): 351–364
[5]
Baris D, Karagas MR, Verrill C, Johnson A, Andrew AS, Marsit CJ, Schwenn M, Colt JS, Cherala S, Samanic C, Waddell R, Cantor KP, Schned A, Rothman N, Lubin J, Fraumeni JF, Hoover RN, Kelsey KT, Silverman DT. A case—control study of smoking and bladder cancer risk: emergent patterns over time. J Natl Cancer Inst2009; 101(22): 1553–1561
[6]
Lubin JH, Virtamo J, Weinstein SJ, Albanes D. Cigarette smoking and cancer: intensity patterns in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study in Finnish men. Am J Epidemiol2008; 167(8): 970–975
[7]
Lubin JH, Caporaso NE. Cigarette smoking and lung cancer: modeling total exposure and intensity. Cancer Epidemiol Biomarkers Prev2006; 15(3): 517–523
[8]
Lubin JH, Gaudet MM, Olshan AF, Kelsey K, Boffetta P, Brennan P, Castellsague X, Chen C, Curado MP, Dal Maso L, Daudt AW, Fabianova E, Fernandez L, Wünsch-Filho V, Franceschi S, Herrero R, Koifman S, La Vecchia C, Lazarus P, Levi F, Lissowska J, Mates IN, Matos E, McClean M, Menezes A, Morgenstern H, Muscat J, Eluf Neto J, Purdue MP, Rudnai P, Schwartz SM, Shangina O, Sturgis EM, Szeszenia-Dabrowska N, Talamini R, Wei Q, Winn D, Zhang ZF, Hashibe M, Hayes RB. Body mass index, cigarette smoking, and alcohol consumption and cancers of the oral cavity, pharynx, and larynx: modeling odds ratios in pooled case-control data. Am J Epidemiol2010; 171(12): 1250–1261
[9]
Lubin JH, Couper D, Lutsey PL, Woodward M, Yatsuya H, Huxley RR. Risk of cardiovascular disease from cumulative cigarette use and the impact of smoking intensity. Epidemiology2016; 27(3): 395–404
[10]
Lubin JH, Caporaso N, Wichmann HE, Schaffrath-Rosario A, Alavanja MC. Cigarette smoking and lung cancer: modeling effect modification of total exposure and intensity. Epidemiology2007; 18(5): 639–648
[11]
Vlaanderen J, Portengen L, Schüz J, Olsson A, Pesch B, Kendzia B, Stücker I, Guida F, Brüske I, Wichmann HE, Consonni D, Landi MT, Caporaso N, Siemiatycki J, Merletti F, Mirabelli D, Richiardi L, Gustavsson P, Plato N, Jöckel KH, Ahrens W, Pohlabeln H, Tardón A, Zaridze D, Field JK, ’t Mannetje A, Pearce N, McLaughlin J, Demers P, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Stanescu Dumitru R, Bencko V, Foretova L, Janout V, Boffetta P, Forastiere F, Bueno-de-Mesquita B, Peters S, Brüning T, Kromhout H, Straif K, Vermeulen R. Effect modification of the association of cumulative exposure and cancer risk by intensity of exposure and time since exposure cessation: a flexible method applied to cigarette smoking and lung cancer in the SYNERGY Study. Am J Epidemiol2014; 179(3): 290–298
[12]
Lubin JH, Alavanja MC, Caporaso N, Brown LM, Brownson RC, Field RW, Garcia-Closas M, Hartge P, Hauptmann M, Hayes RB, Kleinerman R, Kogevinas M, Krewski D, Langholz B, Letourneau EG, Lynch CF, Malats N, Sandler DP, Schaffrath-Rosario A, Schoenberg JB, Silverman DT, Wang Z, Wichmann HE, Wilcox HB, Zielinski JM. Cigarette smoking and cancer risk: modeling total exposure and intensity. Am J Epidemiol2007; 166(4): 479–489
[13]
Lubin JH, Kogevinas M, Silverman D, Malats N, Garcia-Closas M, Tardón A, Hein DW, Garcia-Closas R, Serra C, Dosemeci M, Carrato A, Rothman N. Evidence for an intensity-dependent interaction of NAT2 acetylation genotype and cigarette smoking in the Spanish Bladder Cancer Study. Int J Epidemiol2007; 36(1): 236–241
[14]
van Osch FHM, Vlaanderen J, Jochems SHJ, Bosetti C, Polesel J, Porru S, Carta A, Golka K, Jiang X, Stern MC, Zhong WD, Kellen E, Pohlabeln H, Tang L, Marshall J, Steineck G, Karagas MR, Johnson KC, Zhang ZF, Taylor JA, La Vecchia C, Bryan RT, van Schooten FJ, Wesselius A, Zeegers MP. Modeling the complex exposure history of smoking in predicting bladder cancer: a pooled analysis of 15 case-control studies. Epidemiology2019; 30(3): 458–465
[15]
Flanders WD, Lally CA, Zhu BP, Henley SJ, Thun MJ. Lung cancer mortality in relation to age, duration of smoking, and daily cigarette consumption: results from Cancer Prevention Study II. Cancer Res2003; 63(19): 6556–6562
[16]
Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, Liu B, Matthews P, Ong G, Pell J, Silman A, Young A, Sprosen T, Peakman T, Collins R. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med2015; 12(3): e1001779
[17]
Centers for Disease Control and Prevention. Health effects of cigarettes: cancer 2024. Available at the website of www. cdc. gov/tobacco/about/cigarettes-and-cancer. html
[18]
Liu M, Jiang Y, Wedow R, Li Y, Brazel DM, Chen F, Datta G, Davila-Velderrain J, McGuire D, Tian C, Zhan X, Choquet H, Docherty AR, Faul JD, Foerster JR, Fritsche LG, Gabrielsen ME, Gordon SD, Haessler J, Hottenga JJ, Huang H, Jang SK, Jansen PR, Ling Y, Mägi R, Matoba N, McMahon G, Mulas A, Orrù V, Palviainen T, Pandit A, Reginsson GW, Skogholt AH, Smith JA, Taylor AE, Turman C, Willemsen G, Young H, Young KA, Zajac GJM, Zhao W, Zhou W, Bjornsdottir G, Boardman JD, Boehnke M, Boomsma DI, Chen C, Cucca F, Davies GE, Eaton CB, Ehringer MA, Esko T, Fiorillo E, Gillespie NA, Gudbjartsson DF, Haller T, Harris KM, Heath AC, Hewitt JK, Hickie IB, Hokanson JE, Hopfer CJ, Hunter DJ, Iacono WG, Johnson EO, Kamatani Y, Kardia SLR, Keller MC, Kellis M, Kooperberg C, Kraft P, Krauter KS, Laakso M, Lind PA, Loukola A, Lutz SM, Madden PAF, Martin NG, McGue M, McQueen MB, Medland SE, Metspalu A, Mohlke KL, Nielsen JB, Okada Y, Peters U, Polderman TJC, Posthuma D, Reiner AP, Rice JP, Rimm E, Rose RJ, Runarsdottir V, Stallings MC, Stančáková A, Stefansson H, Thai KK, Tindle HA, Tyrfingsson T, Wall TL, Weir DR, Weisner C, Whitfield JB, Winsvold BS, Yin J, Zuccolo L, Bierut LJ, Hveem K, Lee JJ, Munafò MR, Saccone NL, Willer CJ, Cornelis MC, David SP, Hinds DA, Jorgenson E, Kaprio J, Stitzel JA, Stefansson K, Thorgeirsson TE, Abecasis G, Liu DJ, Vrieze S. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nat Genet2019; 51(2): 237–244
[19]
Sedgwick P. Poisson regression. BMJ2014; 349: g6150
[20]
Biobank UK. 2017 UK Physical activity guidelines. 2017. Available at the website of biobank. ctsu. ox. ac. uk/crystal/field. cgi?id=22036
[21]
Mozaffarian D. Dietary and policy priorities for cardiovascular disease, diabetes, and obesity: a comprehensive review. Circulation2016; 133(2): 187–225
[22]
Lourida I, Hannon E, Littlejohns TJ, Langa KM, Hyppönen E, Kuzma E, Llewellyn DJ. Association of lifestyle and genetic risk with incidence of dementia. JAMA2019; 322(5): 430–437
[23]
Ussher MH, Faulkner GEJ, Angus K, Hartmann-Boyce J, Taylor AH. Exercise interventions for smoking cessation. Cochrane Libr2019; 2019(10): CD00229
[24]
Patriota P, Guessous I, Marques-Vidal P. No changes in dietary intake after quitting smoking; a prospective study in Switzerland. BMC Nutr2021; 7(1): 34
[25]
Frome EL, Checkoway H. Use of Poisson regression models in estimating incidence rates and ratios. Am J Epidemiol1985; 121(2): 309–323
[26]
Richardson DB. A simple approach for fitting linear relative rate models in SAS. Am J Epidemiol2008; 168(11): 1333–1338
[27]
Park E, Kang HY, Lim MK, Kim B, Oh JK. Cancer risk following smoking cessation in Korea. JAMA Netw Open2024; 7(2): e2354958
[28]
Colamesta V, D’Aguanno S, Breccia M, Bruffa S, Cartoni C, La Torre G.. Do the smoking intensity and duration, the years since quitting, the methodological quality and the year of publication of the studies affect the results of the meta-analysis on cigarette smoking and acute myeloid leukemia (AML) in adults?. Crit Rev Oncol Hematol2016; 99: 376–388
[29]
Krebs NM, Chen A, Zhu J, Sun D, Liao J, Stennett AL, Muscat JE. Comparison of puff volume with cigarettes per day in predicting nicotine uptake among daily smokers. Am J Epidemiol2016; 184(1): 48–57
[30]
Zhang P, Chen PL, Li ZH, Zhang A, Zhang XR, Zhang YJ, Liu D, Mao C. Association of smoking and polygenic risk with the incidence of lung cancer: a prospective cohort study. Br J Cancer2022; 126(11): 1637–1646
[31]
Etter JF, Perneger TV. Measurement of self reported active exposure to cigarette smoke. J Epidemiol Community Health2001; 55(9): 674–680
[32]
Sugden K, Hannon EJ, Arseneault L, Belsky DW, Broadbent JM, Corcoran DL, Hancox RJ, Houts RM, Moffitt TE, Poulton R, Prinz JA, Thomson WM, Williams BS, Wong CCY, Mill J, Caspi A. Establishing a generalized polyepigenetic biomarker for tobacco smoking. Transl Psychiatry2019; 9(1): 92
[33]
Hecht SS. Tobacco carcinogens, their biomarkers and tobacco-induced cancer. Nat Rev Cancer2003; 3(10): 733–744
[34]
Liu Y, Lu L, Yang H, Wu X, Luo X, Shen J, Xiao Z, Zhao Y, Du F, Chen Y, Deng S, Cho CH, Li Q, Li X, Li W, Wang F, Sun Y, Gu L, Chen M, Li M. Dysregulation of immunity by cigarette smoking promotes inflammation and cancer: a review. Environ Pollut2023; 339: 122730