Consumption of ultra-processed foods and drinks and colorectal, breast, and prostate cancer

医学 乳腺癌 前列腺癌 前列腺 肿瘤科 消费(社会学) 癌症 内科学 社会科学 社会学
作者
Dora Romaguera,Sílvia Fernández‐Barrés,Esther Gràcia‐Lavedan,Eva Vendrell,Mikel Azpiri,Emma Ruiz,Vicente Martín,Inés Gómez‐Acebo,Mireia Obón,Amaia Molinuevo,Ujué Fresán,Ana Molina‐Barceló,Rocío Olmedo‐Requena,Adonina Tardón,Juan Alguacil,Marta Solans,José María Huerta,José Manuel Ruiz-Dominguez,Núria Aragonés,Tania Fernández‐Villa
出处
期刊:Clinical Nutrition [Elsevier BV]
卷期号:40 (4): 1537-1545 被引量:83
标识
DOI:10.1016/j.clnu.2021.02.033
摘要

Aims To study whether the consumption of ultra-processed foods and drinks is associated with breast, colorectal, and prostate cancers. Methods Multicentric population-based case-control study (MCC-Spain) conducted in 12 Spanish provinces. Participants were men and women between 20 and 85 years of age with diagnoses of colorectal (n = 1852), breast (n = 1486), or prostate cancer (n = 953), and population-based controls (n = 3543) frequency-matched by age, sex, and region. Dietary intake was collected using a validated food frequency questionnaire. Foods and drinks were categorized according to their degree of processing based on the NOVA classification. Unconditional multivariable logistic regression was used to evaluate the association between ultra-processed food and drink consumption and colorectal, breast, and prostate cancer. Results In multiple adjusted models, consumption of ultra-processed foods and drinks was associated with a higher risk of colorectal cancer (OR for a 10% increase in consumption: 1.11; 95% CI 1.04–1.18). The corresponding odds for breast (OR 1.03; 95% CI 0.96–1.11) and prostate cancer (OR 1.02; 95% CI 0.93–1.12) were indicative of no association. Conclusions Results of this large population-based case-control study suggest an association between the consumption of ultra-processed foods and drinks and colorectal cancer. Food policy and public health should include a focus on food processing when formulating dietary guidelines.
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