Food processing and cancer risk in Europe: results from the prospective EPIC cohort study

被引:49
作者
Kliemann, Nathalie [1 ]
Rauber, Fernanda [2 ]
Levy, Renata Bertazzi [2 ]
Viallon, Vivian [1 ]
Vamos, Eszter P. [4 ]
Cordova, Reynalda [1 ]
Freisling, Heinz [1 ]
Casagrande, Corinne [1 ]
Nicolas, Genevieve [1 ]
Aune, Dagfinn [5 ,7 ,8 ]
Tsilidis, Konstantinos K. [5 ,9 ]
Heath, Alicia [5 ]
Schulze, Matthias B. [10 ,11 ]
Jannasch, Franziska [10 ,12 ]
Srour, Bernard [13 ]
Kaaks, Rudolf [13 ]
Rodriguez-Barranco, Miguel [14 ,15 ,16 ]
Tagliabue, Giovanna [17 ]
Agudo, Antonio [18 ]
Panico, Salvatore [19 ]
Ardanaz, Eva [16 ,20 ,21 ]
Chirlaque, Maria-Dolores [16 ,22 ]
Vineis, Paolo [6 ]
Tumino, Rosario [23 ]
Perez-Cornago, Aurora [24 ]
Andersen, Julie Louise Munk [25 ]
Tjonneland, Anne [25 ]
Skeie, Guri [26 ]
Weiderpass, Elisabete [1 ]
Monteiro, Carlos Augusto [3 ]
Gunter, Marc J. [1 ]
Millett, Christopher [4 ,27 ]
Huybrechts, Inge [1 ]
机构
[1] World Heath Org, Int Agcy Res Canc, F-69372 Lyon, France
[2] Univ Sao Paulo, Prevent Med Dept, Sch Med, Sao Paulo, Brazil
[3] Univ Sao Paulo, Dept Nutr, Fac Publ Hlth, Sao Paulo, Brazil
[4] Imperial Coll London, Publ Hlth Policy Evaluat Unit, Sch Publ Hlth, St Marys Campus, London, England
[5] Imperial Coll London, Dept Epidemiol & Biostat, Sch Publ Hlth, St Marys Campus, London, England
[6] Imperial Coll London, MRC Ctr Environm & Hlth, Sch Publ Hlth, St Marys Campus, London, England
[7] Oslo New Univ Coll, Dept Nutr, Oslo, Norway
[8] Oslo Univ Hosp, Dept Endocrinol, Morbid Obes & Prevent Med, Oslo, Norway
[9] Univ Ioannina, Dept Hyg & Epidemiol, Sch Med, Ioannina, Greece
[10] German Inst Human Nutr Potsdam Rehbrucke, Dept Mol Epidemiol, Nuthetal, Germany
[11] Univ Potsdam, Inst Nutr Sci, Nuthetal, Germany
[12] NutriAct Competence Cluster Nutr Res Berlin Potsd, Nuthetal, Germany
[13] German Canc Res Ctr, Div Canc Epidemiol, Heidelberg, Germany
[14] Escuela Andaluza Salud Publ EASP, Granada, Spain
[15] Inst Invest Biosanitaria, Granada, Spain
[16] Ctr Invest Biomed Red Epidemiol & Salud Publ CIBE, Madrid, Spain
[17] Ist Nazl Tumori Milano, Fdn IRCCS, Canc Registry Unit, Milan, Italy
[18] Bellvitge Biomed Res Inst IDIBELL, Catalan Inst Oncol ICO, Nutr & Canc Grp, Unit Nutr & Canc, Barcelona, Spain
[19] Univ Naples Federico II, Dipartimento Med Clin & Chirurg, Naples, Italy
[20] Navarra Publ Hlth Inst, Pamplona, Spain
[21] IdiSNA, Navarra Inst Hlth Res, Pamplona, Spain
[22] Murcia Univ, Reg Hlth Council, Dept Epidemiol, IMIB Arrixaca, Murcia, Spain
[23] Prov Hlth Author ASP Ragusa, Canc Registry & Histopathol Dept, Ragusa, Italy
[24] Univ Oxford, Nuffield Dept Populat Hlth, Canc Epidemiol Unit, Oxford, England
[25] Danish Canc Soc Res Ctr, Unit Diet Genes & Environm, Copenhagen, Denmark
[26] UiT Arctic Univ Norway, Dept Community Med, Tromso, Norway
[27] NOVA Univ Lisbon, Publ Hlth Res Ctr, Comprehens Hlth Res Ctr CHRC, NOVA Natl Sch Publ Hlth, Lisbon, Portugal
关键词
CONSUMPTION; VALIDITY;
D O I
10.1016/S2542-5196(23)00021-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background Food processing has been hypothesised to play a role in cancer development; however, data from large-scale epidemiological studies are scarce. This study investigated the association between dietary intake according to amount of food processing and risk of cancer at 25 anatomical sites using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Methods This study used data from the prospective EPIC cohort study, which recruited participants between March 18, 1991, and July 2, 2001, from 23 centres in ten European countries. Participant eligibility within each cohort was based on geographical or administrative boundaries. Participants were excluded if they had a cancer diagnosis before recruitment, had missing information for the NOVA food processing classification, or were within the top and bottom 1% for ratio of energy intake to energy requirement. Validated dietary questionnaires were used to obtain information on food and drink consumption. Participants with cancer were identified using cancer registries or during follow-up from a combination of sources, including cancer and pathology centres, health insurance records, and active follow-up of participants. We performed a substitution analysis to assess the effect of replacing 10% of processed foods and ultra-processed foods with 10% of minimally processed foods on cancer risk at 25 anatomical sites using Cox proportional hazard models. Findings 521 324 participants were recruited into EPIC, and 450 111 were included in this analysis (318 686 [70.8%] participants were female individuals and 131 425 [29.2%] were male individuals). In a multivariate model adjusted for sex, smoking, education, physical activity, height, and diabetes, a substitution of 10% of processed foods with an equal amount of minimally processed foods was associated with reduced risk of overall cancer (hazard ratio 0.96, 95% CI 0.95-0.97), head and neck cancers (0.80, 0.75-0.85), oesophageal squamous cell carcinoma (0.57, 0.51-0.64), colon cancer (0.88, 0.85-0.92), rectal cancer (0.90, 0.85-0.94), hepatocellular carcinoma (0.77, 0.68-0.87), and postmenopausal breast cancer (0.93, 0.90-0.97). The substitution of 10% of ultra-processed foods with 10% of minimally processed foods was associated with a reduced risk of head and neck cancers (0.80, 0.74-0.88), colon cancer (0.93, 0.89-0.97), and hepatocellular carcinoma (0.73, 0.62-0.86). Most of these associations remained significant when models were additionally adjusted for BMI, alcohol and dietary intake, and quality. Interpretation This study suggests that the replacement of processed and ultra-processed foods and drinks with an equal amount of minimally processed foods might reduce the risk of various cancer types.
引用
收藏
页码:E219 / E232
页数:14
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