Association study of dietary non-enzymatic antioxidant capacity (NEAC) and colorectal cancer risk in the Spanish Multicase–Control Cancer (MCC-Spain) study
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Studies attempting to link dietary non-enzymatic antioxidant activity (NEAC) and colorectal cancer (CRC) risk have reported mixed results. We examined this association in the Spanish Multicase–Control Study considering the likely influence of coffee and other dietary factors.
1718 CRC cases and 3312 matched-controls provided information about diet through a validated 140-item food frequency questionnaire. Dietary NEAC was estimated for three methods [total radical-trapping antioxidant parameters (TRAP), ferric reducing/antioxidant power (FRAP) and TEAC-ABTS] using published values of NEAC content in food, with and without coffee’s NEAC. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated through unconditional logistic regression models adjusted for lifestyle and dietary factors.
Overall dietary intake of NEAC was significantly lower in cases compared to controls and associated with a significantly reduced CRC risk, in both men (ORQ5vsQ1 = 0.67, 95% CI 0.47–0.96 for FRAP) and women (ORQ5vsQ1 = 0.53, 95% CI 0.32–085 for FRAP), in multivariate models with and without the antioxidant contribution from coffee. The effect was similar for all the NEAC methods evaluated and for both colon and rectum. The association between dietary NEAC and CRC risk became non-significant when adjusting for fiber intake. However, intakes of NEAC and fiber were correlated.
This study indicates that intake of an antioxidant-rich plant-based diet, both with and without NEAC from coffee, is associated with decreased CRC risk.
KeywordsCase–control study Diet Antioxidants Colorectal neoplasms Risk factors
This work was supported by the ‘Acción Transversal del Cancer’, approved by the Spanish Ministry Council on the 11th October 2007, by the Instituto de Salud Carlos III, co-founded by FEDER funds—‘a way to build Europe’ (Grants PI08/1770, PI08/0533, PI08/1359, PI09/00773, PI09/01286, PI09/01903, PI09/02078, PI09/01662, PI11/01403, PI11/01889, PI11/00226, PI11/01810, PI11/02213, PI12/00488, PI12/00265, PI12/01270, PI12/00715, PI12/00150, PI14/01219, PI14/00613, PI15/00069, and PI12/00002). Support was also provided by the Fundación Marqués de Valdecilla (Grant API 10/09); the Junta de Castilla y León (Grant LE22A10-2); the Consejería de Salud of the Junta de Andalucía (2009-S0143); the Conselleria de Sanitat of the Generalitat Valenciana (Grant AP 061/10); the Recercaixa (Grant 2010ACUP 00310); the Regional Government of the Basque Country; the Consejería de Sanidad de la Región de Murcia; European Commission Grants FOOD-CT-2006-036224-HIWATE; the Spanish Association Against Cancer (AECC) Scientific Foundation; the Catalan Government DURSI (Grant 2014SGR647); the Fundación Caja de Ahorros de Asturias; the University of Oviedo; Societat Catalana de Digestologia; and COST action BM1206 Eucolongene.
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Conflict of interests
- 2.Møller P, Loft S (2006) Dietary antioxidants and beneficial effect on oxidatively damaged DNA. Free Radic Biol Med 41:388–415. https://doi.org/10.1016/j.freeradbiomed.2006.04.001 CrossRefPubMedGoogle Scholar
- 10.Carrión-García CJ, Guerra-Hernández EJ, García-Villanova B, Molina-Montes E (2016) Non-enzymatic antioxidant capacity (NEAC) estimated by two different dietary assessment methods and its relationship with NEAC plasma levels. Eur J Nutr. https://doi.org/10.1007/s00394-016-1201-5 CrossRefPubMedGoogle Scholar
- 20.Haytowitz D, Bhagwat S (2010) USDA database for the oxygen radical absorbance capacity (ORAC) of selected foods, Release 2. US Department of Agriculture, p 10–48. http://www.ars.usda.gov/ba/bhnrc/ndl
- 25.(CESNID) C for HS in N and D (2008) Tablas de composición de alimentos CESNID. Taules de composició dels aliments CESNIDGoogle Scholar
- 26.Calvert C, Cade J, Barrett JH, Woodhouse A (1997) Using cross-check questions to address the problem of mis-reporting of specific food groups on Food Frequency Questionnaires. UKWCS Steering Group. United Kingdom Women’s Cohort Study Steering Group. Eur J Clin Nutr 51:708–712CrossRefPubMedGoogle Scholar
- 30.Stone CJKC (1985) Additive splines in statistics. Proc Stat Comput Sect Am Stat Assoc 27:45–48Google Scholar
- 31.R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing. http://www.r-project.org/
- 35.Leufkens AM, Van Duijnhoven FJB, Woudt SHS et al (2012) Biomarkers of oxidative stress and risk of developing colorectal cancer: a cohort-nested case–control study in the European Prospective Investigation into Cancer and Nutrition. Am J Epidemiol 175:653–663. https://doi.org/10.1093/aje/kwr418 CrossRefPubMedGoogle Scholar