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Association between dietary intake and inflammatory markers: results from the CoLaus study

  • Eva Piccand (a1), Peter Vollenweider (a1), Idris Guessous (a2) (a3) and Pedro Marques-Vidal (a1)



To assess the associations between single foods, nutrients, dietary patterns and dietary scores, and inflammatory markers (C-reactive protein (CRP), IL-6, TNF-α and leucocyte count).


Cross-sectional, population-based study.


City of Lausanne, Switzerland, years 2009–2012.


Adults (n 4027; 46·5 % men), mean age 57·2 (sd 10·2) years. Dietary intake was collected using a semi-quantitative FFQ. Single foods and nutrients, three dietary patterns (‘Meat & fries’; ‘Fruits & vegetables’; ‘Fatty & sugary’) and three dietary scores (two Mediterranean; Alternative Healthy Eating Index (AHEI)) were used. Associations were assessed using correlation and multivariable linear regression.


After adjusting for total energy intake, gender and other sociodemographic factors, no individual macro- or micronutrient was associated with inflammatory markers. Among single foods, only fruit intake was negatively associated with CRP levels (standardized regression score=−0·043, P<0·01). The ‘Fruits & vegetables’ pattern, the Mediterranean and the AHEI scores were negatively associated with CRP levels (standardized regression score=−0·079, −0·043 and −0·067, respectively, all P<0·01). When entered simultaneously with fruit intake, the ‘Fruits & vegetables’ pattern, the Mediterranean and the AHEI scores tended to remain significantly and negatively associated with CRP levels, while the association with fruit intake was no longer significant. No association between all dietary markers and IL-6, TNF-α or leucocyte count was found.


Dietary scores, but not individual foods, are associated with inflammatory markers in the general population.


Corresponding author

*Corresponding author: Email


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1. Luc, G, Bard, J-M, Juhan-Vague, I et al. (2003) C-reactive protein, interleukin-6, and fibrinogen as predictors of coronary heart disease: the PRIME study. Arterioscler Thromb Vasc Biol 23, 12551261.
2. Fung, TT, McCullough, ML, Newby, PK et al. (2005) Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr 82, 163173.
3. Cassidy, A, Rogers, G, Peterson, JJ et al. (2015) Higher dietary anthocyanin and flavonol intakes are associated with anti-inflammatory effects in a population of US adults. Am J Clin Nutr 102, 172181.
4. Pounis, G, Bonaccio, M, Di Castelnuovo, A et al. (2016) Polyphenol intake is associated with low-grade inflammation, using a novel data analysis from the Moli-sani study. Thromb Haemost 115, 344352.
5. Muka, T, Kiefte-de Jong, JC, Hofman, A et al. (2015) Polyunsaturated fatty acids and serum C-reactive protein: the Rotterdam study. Am J Epidemiol 181, 846856.
6. Li, YC, Li, CL, Qi, JY et al. (2016) Relationships of dietary histidine and obesity in northern Chinese adults, an internet-based cross-sectional study. Nutrients 8, 420.
7. Li, YC, Li, Y, Liu, LY et al. (2015) The ratio of dietary branched-chain amino acids is associated with a lower prevalence of obesity in young northern Chinese adults: an internet-based cross-sectional study. Nutrients 7, 95739589.
8. Trichopoulou, A, Costacou, T, Bamia, C et al. (2003) Adherence to a Mediterranean diet and survival in a Greek population. New Engl J Med 348, 25992608.
9. Bonaccio, M, Di Castelnuovo, A, De Curtis, A et al. (2014) Adherence to the Mediterranean diet is associated with lower platelet and leukocyte counts: results from the Moli-sani study. Blood 123, 30373044.
10. Guallar-Castillón, P, Oliveira, A, Lopes, C et al. (2013) The Southern European Atlantic Diet is associated with lower concentrations of markers of coronary risk. Atherosclerosis 226, 502509.
11. Kanerva, N, Kaartinen, NE, Rissanen, H et al. (2014) Associations of the Baltic Sea diet with cardiometabolic risk factors – a meta-analysis of three Finnish studies. Br J Nutr 112, 616626.
12. McCullough, ML, Feskanich, D, Stampfer, MJ et al. (2002) Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance. Am J Clin Nutr 76, 12611271.
13. Akbaraly, TN, Shipley, MJ, Ferrie, JE et al. (2015) Long-term adherence to healthy dietary guidelines and chronic inflammation in the prospective Whitehall II study. Am J Med 128, 152160.
14. Wood, AD, Strachan, AA, Thies, F et al. (2014) Patterns of dietary intake and serum carotenoid and tocopherol status are associated with biomarkers of chronic low-grade systemic inflammation and cardiovascular risk. Br J Nutr 112, 13411352.
15. Corley, J, Kyle, JAM, Starr, JM et al. (2015) Dietary factors and biomarkers of systemic inflammation in older people: the Lothian Birth Cohort 1936. Br J Nutr 114, 10881098.
16. Ozawa, M, Shipley, M, Kivimaki, M et al. (2017) Dietary pattern, inflammation and cognitive decline: the Whitehall II prospective cohort study. Clin Nutr 36, 506512.
17. Nettleton, JA, Matijevic, N, Follis, JL et al. (2010) Associations between dietary patterns and flow cytometry-measured biomarkers of inflammation and cellular activation in the Atherosclerosis Risk in Communities (ARIC) Carotid Artery MRI Study. Atherosclerosis 212, 260267.
18. Oliveira, A, Rodriguez-Artalejo, F & Lopes, C (2009) The association of fruits, vegetables, antioxidant vitamins and fibre intake with high-sensitivity C-reactive protein: sex and body mass index interactions. Eur J Clin Nutr 63, 13451352.
19. Firmann, M, Mayor, V, Vidal, PM et al. (2008) The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc Disord 8, 6.
20. Vignali, DA (2000) Multiplexed particle-based flow cytometric assays. J Immunol Methods 243, 243255.
21. Bernstein, L, Huot, I & Morabia, A (1995) Amélioration des performances d’un questionnaire alimentaire semi-quantitatif comparé à un rappel des 24 heures. Sante Publique 7, 403413.
22. Morabia, A, Bernstein, M, Heritier, S et al. (1997) Community-based surveillance of cardiovascular risk factors in Geneva: methods, resulting distributions, and comparisons with other populations. Prev Med 26, 311319.
23. Beer-Borst, S, Costanza, MC, Pechère-Bertschi, A et al. (2009) Twelve-year trends and correlates of dietary salt intakes for the general adult population of Geneva, Switzerland. Eur J Clin Nutr 63, 155164.
24. French Agency for Food, Environmental and Occupational Health & Safety (2016) ANSES-CIQUAL French food composition table. (accessed August 2018).
25. Vormund, K, Braun, J, Rohrmann, S et al. (2015) Mediterranean diet and mortality in Switzerland: an alpine paradox? Eur J Nutr 54, 139148.
26. Shivappa, N, Steck, SE, Hurley, TG et al. (2014) Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 17, 16891696.
27. Marques-Vidal, P, Waeber, G, Vollenweider, P et al. (2018) Socio-demographic and lifestyle determinants of dietary patterns in French-speaking Switzerland, 2009–2012. BMC Public Health 18, 131.
28. Bernstein, M, Sloutskis, D, Kumanyika, S et al. (1998) Data-based approach for developing a physical activity frequency questionnaire. Am J Epidemiol 147, 147154.
29. Guessous, I, Gaspoz, JM, Theler, JM et al. (2014) Eleven-year physical activity trends in a Swiss urban area. Prev Med 59, 2530.
30. Esmaillzadeh, A, Kimiagar, M, Mehrabi, Y et al. (2006) Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr 84, 14891497.
31. Pérez-Jiménez, J, Neveu, V, Vos, F et al. (2010) Identification of the 100 richest dietary sources of polyphenols: an application of the Phenol-Explorer database. Eur J Clin Nutr 64, Suppl. 3, S112S120.
32. Chrysohoou, C, Panagiotakos, DB, Pitsavos, C et al. (2004) Adherence to the Mediterranean diet attenuates inflammation and coagulation process in healthy adults: the ATTICA study. J Am Coll Cardiol 44, 152158.
33. Fargnoli, JL, Fung, TT, Olenczuk, DM et al. (2008) Adherence to healthy eating patterns is associated with higher circulating total and high-molecular-weight adiponectin and lower resistin concentrations in women from the Nurses’ Health Study. Am J Clin Nutr 88, 12131224.
34. Huang, T, Tobias, DK, Hruby, A et al. (2016) An increase in dietary quality is associated with favorable plasma biomarkers of the brain–adipose axis in apparently healthy US women. J Nutr 146, 11011108.
35. Neelakantan, N, Naidoo, N, Koh, W-P et al. (2016) The Alternative Healthy Eating Index is associated with a lower risk of fatal and nonfatal acute myocardial infarction in a Chinese adult population. J Nutr 146, 13791386.
36. Piepoli, MF, Hoes, AW, Agewall, S et al. (2016) 2016 European Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J 37, 23152381.
37. Han, SL, Auer, R, Cornuz, J et al. (2016) Clinical nutrition in primary care: an evaluation of resident physicians’ attitudes and self-perceived proficiency. Clin Nutr ESPEN 15, 6974.
38. US Department of Health and Human Services & US Department of Agriculture (2015) Dietary Guidelines for Americans 2015–2020, 8th edition . Washington, DC: US Goovernment Printing Office.
39. Macready, AL, George, TW, Chong, MF et al. (2014) Flavonoid-rich fruit and vegetables improve microvascular reactivity and inflammatory status in men at risk of cardiovascular disease – FLAVURS: a randomized controlled trial. Am J Clin Nutr 99, 479489.
40. Vitaglione, P, Mennella, I, Ferracane, R et al. (2015) Whole-grain wheat consumption reduces inflammation in a randomized controlled trial on overweight and obese subjects with unhealthy dietary and lifestyle behaviors: role of polyphenols bound to cereal dietary fiber. Am J Clin Nutr 101, 251261.
41. Freedman, LS, Commins, JM, Moler, JE et al. (2014) Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake. Am J Epidemiol 180, 172188.


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