A longitudinal evaluation of alcohol intake throughout adulthood and colorectal cancer risk.
Alcohol change
Alcohol intake
Colorectal cancer
Latent class mixed models
Longitudinal exposure
Trajectory profile analysis
Journal
European journal of epidemiology
ISSN: 1573-7284
Titre abrégé: Eur J Epidemiol
Pays: Netherlands
ID NLM: 8508062
Informations de publication
Date de publication:
Sep 2022
Sep 2022
Historique:
received:
12
01
2022
accepted:
15
07
2022
pubmed:
6
9
2022
medline:
6
10
2022
entrez:
5
9
2022
Statut:
ppublish
Résumé
Alcohol intake is an established risk factor for colorectal cancer (CRC); however, there is limited knowledge on whether changing alcohol drinking habits during adulthood modifies CRC risk. Leveraging longitudinal exposure assessments on alcohol intake at different ages, we examined the relationship between change in alcohol intake and subsequent CRC risk. Within the European Prospective Investigation into Cancer and Nutrition, changes in alcohol intake comparing follow-up with baseline assessments were investigated in relation to CRC risk. The analysis included 191,180, participants and 1530 incident CRC cases, with exclusion of the first three years of follow-up to minimize reverse causation. Trajectory profiles of alcohol intake, assessed at ages 20, 30, 40, 50 years, at baseline and during follow-up, were estimated using latent class mixed models and related to CRC risk, including 407,605 participants and 5,008 incident CRC cases. Mean age at baseline was 50.2 years and the follow-up assessment occurred on average 7.1 years later. Compared to stable intake, a 12 g/day increase in alcohol intake during follow-up was positively associated with CRC risk (HR = 1.15, 95%CI 1.04, 1.25), while a 12 g/day reduction was inversely associated with CRC risk (HR = 0.86, 95%CI 0.78, 0.95). Trajectory analysis showed that compared to low alcohol intake, men who increased their alcohol intake from early- to mid- and late-adulthood by up to 30 g/day on average had significantly increased CRC risk (HR = 1.24; 95%CI 1.08, 1.42), while no associations were observed in women. Results were consistent by anatomical subsite. Increasing alcohol intake during mid-to-late adulthood raised CRC risk, while reduction lowered risk.
Sections du résumé
BACKGROUND
BACKGROUND
Alcohol intake is an established risk factor for colorectal cancer (CRC); however, there is limited knowledge on whether changing alcohol drinking habits during adulthood modifies CRC risk.
OBJECTIVE
OBJECTIVE
Leveraging longitudinal exposure assessments on alcohol intake at different ages, we examined the relationship between change in alcohol intake and subsequent CRC risk.
METHODS
METHODS
Within the European Prospective Investigation into Cancer and Nutrition, changes in alcohol intake comparing follow-up with baseline assessments were investigated in relation to CRC risk. The analysis included 191,180, participants and 1530 incident CRC cases, with exclusion of the first three years of follow-up to minimize reverse causation. Trajectory profiles of alcohol intake, assessed at ages 20, 30, 40, 50 years, at baseline and during follow-up, were estimated using latent class mixed models and related to CRC risk, including 407,605 participants and 5,008 incident CRC cases.
RESULTS
RESULTS
Mean age at baseline was 50.2 years and the follow-up assessment occurred on average 7.1 years later. Compared to stable intake, a 12 g/day increase in alcohol intake during follow-up was positively associated with CRC risk (HR = 1.15, 95%CI 1.04, 1.25), while a 12 g/day reduction was inversely associated with CRC risk (HR = 0.86, 95%CI 0.78, 0.95). Trajectory analysis showed that compared to low alcohol intake, men who increased their alcohol intake from early- to mid- and late-adulthood by up to 30 g/day on average had significantly increased CRC risk (HR = 1.24; 95%CI 1.08, 1.42), while no associations were observed in women. Results were consistent by anatomical subsite.
CONCLUSIONS
CONCLUSIONS
Increasing alcohol intake during mid-to-late adulthood raised CRC risk, while reduction lowered risk.
Identifiants
pubmed: 36063305
doi: 10.1007/s10654-022-00900-6
pii: 10.1007/s10654-022-00900-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
915-929Subventions
Organisme : Cancer Research UK
ID : 14136 to EPIC-Norfolk
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C8221/A29017 to EPIC-Oxford
Pays : United Kingdom
Organisme : Medical Research Council
ID : 1000143 to EPIC-Norfolk
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M012190/1 to EPIC-Oxford
Pays : United Kingdom
Informations de copyright
© 2022. Springer Nature B.V.
Références
IARC Working Group on the Evaluation of Carcinogenic Risks to Humans. Personal habits and indoor combustions. Volume 100 E. A review of human carcinogens. IARC Monogr Evaluat Carcinog Risks Hum 2012;100(Pt E):1–538.
Clinton SK, Giovannucci EL, Hursting SD. The world cancer research fund/American Institute for Cancer Research third expert report on diet, nutrition, physical activity, and cancer: impact and future directions. J Nutr. 2020;150(4):663–71. https://doi.org/10.1093/jn/nxz268 .
doi: 10.1093/jn/nxz268
pubmed: 31758189
IARC. IARC Handbooks of cancer prevention. Absence of Excess Body Fatness IARC Handbooks of Cancer Prevention. Lyon, France.2018.
IARC. IARC Handbooks of cancer prevention. Weight control and physical activity. Lyon, France2002.
Clarke MA, Joshu CE. Early life exposures and adult cancer risk. Epidemiol Rev. 2017;39(1):11–27. https://doi.org/10.1093/epirev/mxx004 .
doi: 10.1093/epirev/mxx004
pubmed: 28407101
pmcid: 5858036
Wang M, Yi Y, Roebothan B, et al. Body mass index trajectories among middle-aged and elderly Canadians and associated health outcomes. J Environ Public Health. 2016;2016:7014857. https://doi.org/10.1155/2016/7014857 .
doi: 10.1155/2016/7014857
pubmed: 26925112
pmcid: 4748085
Ben-Shlomo Y, Kuh D. A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol. 2002;31(2):285–93. https://doi.org/10.1093/ije/31.2.285 .
doi: 10.1093/ije/31.2.285
pubmed: 11980781
Ben-Shlomo Y, Cooper R, Kuh D. The last two decades of life course epidemiology, and its relevance for research on ageing. Int J Epidemiol. 2016;45(4):973–88. https://doi.org/10.1093/ije/dyw096 .
doi: 10.1093/ije/dyw096
pubmed: 27880685
pmcid: 5841628
Liu S, Jones RN, Glymour MM. Implications of lifecourse epidemiology for research on determinants of adult disease. Public Health Rev. 2010;32(2):489–511. https://doi.org/10.1007/bf03391613 .
doi: 10.1007/bf03391613
pubmed: 24639598
Lima Passos V, Klijn S, van Zandvoort K, Abidi L, Lemmens P. At the heart of the problem - A person-centred, developmental perspective on the link between alcohol consumption and cardio-vascular events. Int J Cardiol. 2017;232:304–14. https://doi.org/10.1016/j.ijcard.2016.12.094 .
doi: 10.1016/j.ijcard.2016.12.094
pubmed: 28087173
Noh H, Charvat H, Freisling H, et al. Cumulative exposure to premenopausal obesity and risk of postmenopausal cancer: a population-based study in Icelandic women. Int J Cancer. 2020;147(3):793–802. https://doi.org/10.1002/ijc.32805 .
doi: 10.1002/ijc.32805
pubmed: 31755107
Arnold M, Freisling H, Stolzenberg-Solomon R, et al. Overweight duration in older adults and cancer risk: a study of cohorts in Europe and the United States. Eur J Epidemiol. 2016;31(9):893–904. https://doi.org/10.1007/s10654-016-0169-z .
doi: 10.1007/s10654-016-0169-z
pubmed: 27300353
pmcid: 5920679
Wang K, Chen X, Gerke TA, Bird VY, Ghayee HK, Prosperi M. BMI trajectories and risk of overall and grade-specific prostate cancer: An observational cohort study among men seen for prostatic conditions. Cancer Med. 2018. https://doi.org/10.1002/cam4.1747 .
doi: 10.1002/cam4.1747
pubmed: 30575323
pmcid: 6346244
Fedirko V, Tramacere I, Bagnardi V, et al. Alcohol drinking and colorectal cancer risk: an overall and dose-response meta-analysis of published studies. Ann Oncol. 2011;22(9):1958–72. https://doi.org/10.1093/annonc/mdq653 .
doi: 10.1093/annonc/mdq653
pubmed: 21307158
Bagnardi V, Rota M, Botteri E, et al. Alcohol consumption and site-specific cancer risk: a comprehensive dose-response meta-analysis. Br J Cancer. 2015;112(3):580–93. https://doi.org/10.1038/bjc.2014.579 .
doi: 10.1038/bjc.2014.579
pubmed: 25422909
Jayasekara H, MacInnis RJ, Williamson EJ, et al. Lifetime alcohol intake is associated with an increased risk of KRAS+ and BRAF-/KRAS- but not BRAF+ colorectal cancer. Int J Cancer. 2017;140(7):1485–93. https://doi.org/10.1002/ijc.30568 .
doi: 10.1002/ijc.30568
pubmed: 27943267
Jayasekara H, Juneja S, Hodge AM, et al. Lifetime alcohol intake and risk of non-Hodgkin lymphoma: Findings from the Melbourne Collaborative Cohort Study. Int J Cancer. 2018;142(5):919–26. https://doi.org/10.1002/ijc.31123 .
doi: 10.1002/ijc.31123
pubmed: 29055104
Jayasekara H, MacInnis RJ, Hodge AM, et al. Lifetime alcohol consumption and upper aero-digestive tract cancer risk in the Melbourne Collaborative Cohort Study. Cancer Causes & Control : CCC. 2015;26(2):297–301. https://doi.org/10.1007/s10552-014-0495-y .
doi: 10.1007/s10552-014-0495-y
pubmed: 25403882
Ferrari P, Jenab M, Norat T, et al. Lifetime and baseline alcohol intake and risk of colon and rectal cancers in the European prospective investigation into cancer and nutrition (EPIC). Int J Cancer. 2007;121(9):2065–72. https://doi.org/10.1002/ijc.22966 .
doi: 10.1002/ijc.22966
pubmed: 17640039
Bergmann MM, Rehm J, Klipstein-Grobusch K, et al. The association of pattern of lifetime alcohol use and cause of death in the European prospective investigation into cancer and nutrition (EPIC) study. Int J Epidemiol. 2013;42(6):1772–90. https://doi.org/10.1093/ije/dyt154 .
doi: 10.1093/ije/dyt154
pubmed: 24415611
Thygesen LC, Wu K, Grønbaek M, Fuchs CS, Willett WC, Giovannucci E. Alcohol intake and colorectal cancer: a comparison of approaches for including repeated measures of alcohol consumption. Epidemiology. 2008;19(2):258–64. https://doi.org/10.1097/EDE.0b013e31816339e0 .
doi: 10.1097/EDE.0b013e31816339e0
pubmed: 18300715
Yi SW, Hong JS, Yi JJ, Ohrr H. Impact of alcohol consumption and body mass index on mortality from nonneoplastic liver diseases, upper aerodigestive tract cancers, and alcohol use disorders in Korean older middle-aged men: Prospective cohort study. Medicine. 2016;95(39): e4876. https://doi.org/10.1097/md.0000000000004876 .
doi: 10.1097/md.0000000000004876
pubmed: 27684819
pmcid: 5265912
Casswell S, Pledger M, Pratap S. Trajectories of drinking from 18 to 26 years: identification and prediction. Addiction. 2002;97(11):1427–37. https://doi.org/10.1046/j.1360-0443.2002.00220.x .
doi: 10.1046/j.1360-0443.2002.00220.x
pubmed: 12410783
Chung T, Maisto SA, Cornelius JR, Martin CS, Jackson KM. Joint trajectory analysis of treated adolescents’ alcohol use and symptoms over 1 year. Addict Behav. 2005;30(9):1690–701. https://doi.org/10.1016/j.addbeh.2005.07.016 .
doi: 10.1016/j.addbeh.2005.07.016
pubmed: 16098681
pmcid: 2898723
Flory K, Lynam D, Milich R, Leukefeld C, Clayton R. Early adolescent through young adult alcohol and marijuana use trajectories: early predictors, young adult outcomes, and predictive utility. Dev Psychopathol. 2004;16(1):193–213. https://doi.org/10.1017/s0954579404044475 .
doi: 10.1017/s0954579404044475
pubmed: 15115071
Wanner B, Vitaro F, Ladouceur R, Brendgen M, Tremblay RE. Joint trajectories of gambling, alcohol and marijuana use during adolescence: a person- and variable-centered developmental approach. Addict Behav. 2006;31(4):566–80. https://doi.org/10.1016/j.addbeh.2005.05.037 .
doi: 10.1016/j.addbeh.2005.05.037
pubmed: 15967586
Greenbaum PE, Del Boca FK, Darkes J, Wang CP, Goldman MS. Variation in the drinking trajectories of freshmen college students. J Consult Clin Psychol. 2005;73(2):229–38. https://doi.org/10.1037/0022-006x.73.2.229 .
doi: 10.1037/0022-006x.73.2.229
pubmed: 15796630
Britton A, Ben-Shlomo Y, Benzeval M, Kuh D, Bell S. Life course trajectories of alcohol consumption in the United Kingdom using longitudinal data from nine cohort studies. BMC Med. 2015;13:47. https://doi.org/10.1186/s12916-015-0273-z .
doi: 10.1186/s12916-015-0273-z
pubmed: 25858476
pmcid: 4351673
Proust-Lima C, Philipps V, Liquet B. Estimation of extended mixed models using latent classes and latent processes: The R Package LCMM. J Stat Softw. 2017;78(2):56. https://doi.org/10.18637/jss.v078.i02 .
doi: 10.18637/jss.v078.i02
Riboli E, Hunt KJ, Slimani N, et al. European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr. 2002;5(6b):1113–24. https://doi.org/10.1079/phn2002394 .
doi: 10.1079/phn2002394
pubmed: 12639222
Riboli E. The European prospective investigation into cancer and nutrition (EPIC): Plans and Progress. J Nutr. 2001;131(1):170S-S175. https://doi.org/10.1093/jn/131.1.170S .
doi: 10.1093/jn/131.1.170S
pubmed: 11208958
Riboli E, Kaaks R. The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol. 1997;26(1):6–14.
doi: 10.1093/ije/26.suppl_1.S6
Ferrari P, Licaj I, Muller DC, et al. Lifetime alcohol use and overall and cause-specific mortality in the European Prospective Investigation into Cancer and nutrition (EPIC) study. BMJ Open. 2014;4(7): e005245. https://doi.org/10.1136/bmjopen-2014-005245 .
doi: 10.1136/bmjopen-2014-005245
pubmed: 24993766
pmcid: 4091394
Rubin DB. Multiple Imputation for Nonresponse in Surveys. John Wiley & Sons Inc. 1987. https://doi.org/10.1002/9780470316696
White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011;30(4):377–99. https://doi.org/10.1002/sim.4067 .
doi: 10.1002/sim.4067
pubmed: 21225900
Durrleman S, Simon R. Flexible regression models with cubic splines. Stat Med. 1989;8(5):551–61. https://doi.org/10.1002/sim.4780080504 .
doi: 10.1002/sim.4780080504
pubmed: 2657958
Muthén B, Muthén LK. Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res. 2000;24(6):882–91.
doi: 10.1111/j.1530-0277.2000.tb02070.x
Herle M, Micali N, Abdulkadir M, et al. Identifying typical trajectories in longitudinal data: modelling strategies and interpretations. Eur J Epidemiol. 2020;35(3):205–22. https://doi.org/10.1007/s10654-020-00615-6 .
doi: 10.1007/s10654-020-00615-6
pubmed: 32140937
pmcid: 7154024
Schoenfeld D. Partial residuals for the proportional hazards regression model. Biometrika. 1982;69(1):239–41. https://doi.org/10.2307/2335876 .
doi: 10.2307/2335876
Team RC. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2019. https://www.R-project.org/
StataCorp. Stata Statistical Software: Release 14. College Station, TX: StataCorp LP. 2019.
McNabb S, Harrison TA, Albanes D, et al. Meta-analysis of 16 studies of the association of alcohol with colorectal cancer. Int J Cancer. 2020;146(3):861–73. https://doi.org/10.1002/ijc.32377 .
doi: 10.1002/ijc.32377
pubmed: 31037736
Cho E, Smith-Warner SA, Ritz J, et al. Alcohol intake and colorectal cancer: a pooled analysis of 8 cohort studies. Ann Intern Med. 2004;140(8):603–13. https://doi.org/10.7326/0003-4819-140-8-200404200-00007 .
doi: 10.7326/0003-4819-140-8-200404200-00007
pubmed: 15096331
Jankhotkaew J, Bundhamcharoen K, Suphanchaimat R, et al. Associations between alcohol consumption trajectory and deaths due to cancer, cardiovascular diseases and all-cause mortality: a 30-year follow-up cohort study in Thailand. BMJ Open. 2020;10(12): e038198. https://doi.org/10.1136/bmjopen-2020-038198 .
doi: 10.1136/bmjopen-2020-038198
pubmed: 33361071
pmcid: 7768972
Schober P, Vetter TR. Repeated measures designs and analysis of longitudinal data: if at first you do not succeed-try. Try Again Anesth Analg. 2018;127(2):569–75. https://doi.org/10.1213/ANE.0000000000003511 .
doi: 10.1213/ANE.0000000000003511
pubmed: 29905618
Reinecke J, Seddig D. Growth mixture models in longitudinal research. AStA Advances in Statistical Analysis. 2011;95(4):415–34. https://doi.org/10.1007/s10182-011-0171-4 .
doi: 10.1007/s10182-011-0171-4
van der Nest G, Lima Passos V, Candel MJJM, van Breukelen GJP. An overview of mixture modelling for latent evolutions in longitudinal data: Modelling approaches, fit statistics and software. Advances in Life Course Research. 2020;43: 100323. https://doi.org/10.1016/j.alcr.2019.100323 .
doi: 10.1016/j.alcr.2019.100323
Jayasekara H, MacInnis RJ, Room R, English DR. Long-term alcohol consumption and breast, upper aero-digestive tract and colorectal cancer risk: a systematic review and meta-analysis. Alcohol Alcohol. 2016;51(3):315–30. https://doi.org/10.1093/alcalc/agv110 .
doi: 10.1093/alcalc/agv110
pubmed: 26400678
Kaaks R, Slimani N, Riboli E. Pilot phase studies on the accuracy of dietary intake measurements in the EPIC project: overall evaluation of results. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol. 1997;26(1):26–36. https://doi.org/10.1093/ije/26.suppl_1.s26 .
doi: 10.1093/ije/26.suppl_1.s26
International Agency for Research on Cancer. Alcohol consumption and ethyl carbamate. IARC Monogr Eval Carcinog Risks Hum. 2010;96:3–1383.
Rossi M, Jahanzaib Anwar M, Usman A, Keshavarzian A, Bishehsari F. Colorectal cancer and alcohol consumption-populations to molecules. Cancers. 2018;10(2):38. https://doi.org/10.3390/cancers10020038 .
doi: 10.3390/cancers10020038
pmcid: 5836070
Syed Javid Hasan SAH, Pawirotaroeno RAOZ, Syed Javid Hasan SAH, Abzianidze E. Role of chronic alcoholism causing cancer in omnivores and vegetarians through epigenetic modifications. Glob Med Genet. 2020;7(3):80–6. https://doi.org/10.1055/s-0040-1721814
Lin T-C, Chien W-C, Hu J-M, et al. Risk of colorectal cancer in patients with alcoholism: A nationwide, population-based nested case-control study. PLoS ONE. 2020;15(5): e0232740. https://doi.org/10.1371/journal.pone.0232740 .
doi: 10.1371/journal.pone.0232740
pubmed: 32396577
pmcid: 7217430