Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Prevention of Non Communicable Diseases

Food Compass Score and its association with inflammatory markers and homocysteine in cardiovascular disease-free adults: a cross-sectional analysis of the ATTICA epidemiological study

Abstract

Background/Objectives

Several nutrient profiling systems have been developed to assist in food choices and policy. Food Compass Score (FCS) is a novel holistic food score assessing 54 parameters. The aim was to assess the relation of FCS with inflammatory and lipid markers in cardiovascular disease-free volunteers.

Subjects/Methods

Information from the ATTICA epidemiological study participants, with complete data on lipid, inflammatory markers and dietary intake were studied (n = 1018). C-reactive protein (CRP) and amyloid A were determined by immunonephelometry, fibrinogen by nephelometry, homocysteine by fluorometry, while tumor necrosis factor-a (TNF-a), interleukin-6 (IL-6), adiponectin and leptin were determined by ELISA in fasting blood samples. Dietary intake was assessed through a semi-quantitative validated food frequency questionnaire. Each food was assigned a FCS value from the published values and then individual’s FCS values were calculated.

Results

Mean FCS was 56 (standard deviation: 5.7) and it was similar in men and women. FCS was inversely correlated with age (r = −0.06, p = 0.03). In multiple linear regression models, FCS was inversely associated with CRP (−0.03, 0.01), TNF-a (−0.04, 0.01), amyloid A (−0.10, 0.04) and homocysteine (−0.09, 0.04) (b coefficients, standard errors, all p < 0.05) and was not associated with IL-6, fibrinogen, adiponectin, leptin, or lipids levels (all p > 0.05).

Conclusions

The inverse correlations of the FCS with inflammatory markers suggest that a diet containing foods with high FCS might be protective against inflammation process. Our results support the usefulness of the FCS, but future studies should evaluate its relation to cardiovascular and other inflammation-related chronic diseases.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Flow-chart of participants of the ATTICA cohort study included in this analysis.

Similar content being viewed by others

Data availability

Data described in the manuscript, code book, and analytic code will be made available upon request to the corresponding author.

References

  1. Muzzioli L, Penzavecchia C, Donini LM, Pinto A. Are front-of-pack labels a health policy tool? Nutrients. 2022;14:771. https://doi.org/10.3390/nu14040771

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Labonté M-È, Poon T, Gladanac B, Ahmed M, Franco-Arellano B, Rayner M, et al. Nutrient profile models with applications in government-led nutrition policies aimed at health promotion and noncommunicable disease prevention: A systematic review. Adv Nutr. 2018;9:741–88. https://doi.org/10.1093/advances/nmy045

    Article  PubMed  PubMed Central  Google Scholar 

  3. Egnell M, Seconda L, Neal B, Mhurchu CN, Rayner M, Jones A, et al. Prospective associations of the original Food Standards Agency nutrient profiling system and three variants with weight gain, overweight and obesity risk: results from the French NutriNet-Santé cohort. Br J Nutr. 2021;125:902–14. https://doi.org/10.1017/S0007114520003384

    Article  CAS  PubMed  Google Scholar 

  4. Gómez-Donoso C, Martínez-González MÁ, Perez-Cornago A, Sayón-Orea C, Martínez JA, Bes-Rastrollo M. Association between the nutrient profile system underpinning the Nutri-Score front-of-pack nutrition label and mortality in the SUN project: A prospective cohort study. Clin Nutr. 2021;40:1085–94. https://doi.org/10.1016/j.clnu.2020.07.008

    Article  CAS  PubMed  Google Scholar 

  5. Kissock KR, Vieux F, Mathias KC, Drewnowski A, Seal CJ, Masset G, et al. Aligning nutrient profiling with dietary guidelines: modifying the Nutri-Score algorithm to include whole grains. Eur J Nutr. 2022;61:541–53. https://doi.org/10.1007/s00394-021-02718-6

    Article  CAS  PubMed  Google Scholar 

  6. Mozaffarian D, El-Abbadi NH, O’Hearn M, Erndt-Marino J, Masters WA, Jacques P, et al. Food Compass is a nutrient profiling system using expanded characteristics for assessing healthfulness of foods. Nat Food. 2021;2:809–18. https://doi.org/10.1038/s43016-021-00381-y

    Article  PubMed  Google Scholar 

  7. Mozaffarian D, El-Abbadi NH, O’Hearn M, Erndt-Marino J, Masters WA, Jacques P, et al. Author Correction: Food Compass is a nutrient profiling system using expanded characteristics for assessing healthfulness of foods. Nat Food 2022. https://doi.org/10.1038/s43016-022-00555-2

  8. Detopoulou P, Syka D, Koumi K, Dedes V, Tzirogiannis K, Panoutsopoulos GI. Clinical Application of the Food Compass Score: Positive Association to Mediterranean Diet Score, Health Star Rating System and an Early Eating Pattern in University Students. Diseases. 2022;10:43. https://doi.org/10.3390/diseases10030043

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Detopoulou P, Panoutsopoulos GI, Kalonarchi G, Papamikos V Is food compass score useful for menu planning in the hospital setting? Nutr Health 2022:026010602211383. https://doi.org/10.1177/02601060221138369

  10. O’Hearn M, Erndt-Marino J, Gerber S, Lauren BN, Economos C, Wong JB, et al. Validation of Food Compass with a healthy diet, cardiometabolic health, and mortality among U.S. adults, 1999–2018. Nat Commun. 2022;13:7066. https://doi.org/10.1038/s41467-022-34195-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Detopoulou P, Nomikos T, Fragopoulou E, Antonopoulou S. Validation of the Food Compass Score through 24h recalls and measurement of erythrocyte fatty acids. (submitted).

  12. Furman D, Campisi J, Verdin E, Carrera-Bastos P, Targ S, Franceschi C, et al. Chronic inflammation in the etiology of disease across the life span. Nat Med. 2019;25:1822–32. https://doi.org/10.1038/s41591-019-0675-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Mukherjee MS, Han CY, Sukumaran S, Delaney CL, Miller MD. Effect of anti-inflammatory diets on inflammation markers in adult human populations: A systematic review of randomized controlled trials. Nutr Rev. 2022:nuac045. https://doi.org/10.1093/nutrit/nuac045

  14. Tyrovolas S, Haro JM, Foscolou A, Tyrovola D, Mariolis A, Bountziouka V, et al. Anti-Inflammatory Nutrition and Successful Ageing in Elderly Individuals: The Multinational MEDIS Study. Gerontology. 2018;64:3–10. https://doi.org/10.1159/000479065

    Article  PubMed  Google Scholar 

  15. Detopoulou P, Fragopoulou E, Nomikos T, Yannakoulia M, Stamatakis G, Panagiotakos DB, et al. The relation of diet with PAF and its metabolic enzymes in healthy volunteers. Eur J Nutr. 2015;54:25–34. https://doi.org/10.1007/s00394-014-0682-3

    Article  CAS  PubMed  Google Scholar 

  16. Detopoulou P, Panagiotakos DB, Chrysohoou C, Fragopoulou E, Nomikos T, Antonopoulou S, et al. Dietary antioxidant capacity and concentration of adiponectin in apparently healthy adults: The ATTICA study. Eur J Clin Nutr. 2009;64:161–8. https://doi.org/10.1038/ejcn.2009.130

    Article  CAS  PubMed  Google Scholar 

  17. Kastorini C-M, Panagiotakos DB, Chrysohoou C, Georgousopoulou E, Pitaraki E, Puddu PE, et al. Metabolic syndrome, adherence to the Mediterranean diet and 10-year cardiovascular disease incidence: The ATTICA study. Atherosclerosis. 2016;246:87–93. https://doi.org/10.1016/j.atherosclerosis.2015.12.025

    Article  CAS  PubMed  Google Scholar 

  18. Georgoulis M, Georgousopoulou EN, Chrysohoou C, Pitsavos C, Panagiotakos DB. Longitudinal trends, determinants, and cardiometabolic impact of adherence to the Mediterranean diet among Greek adults. Foods. 2022;11:2389. https://doi.org/10.3390/foods11162389

    Article  PubMed  PubMed Central  Google Scholar 

  19. Pitsavos C, Panagiotakos DB, Chrysohoou C, Stefanadis C. Epidemiology of cardiovascular risk factors in Greece: Aims, design and baseline characteristics of the ATTICA study. BMC Public Health. 2003;3:32. https://doi.org/10.1186/1471-2458-3-32

    Article  PubMed  PubMed Central  Google Scholar 

  20. Hallal PC, Victora CG. Reliability and validity of the international physical activity questionnaire (IPAQ). Med Sci Sports Exerc. 2004;36:556. https://doi.org/10.1249/01.MSS.0000117161.66394.07

    Article  PubMed  Google Scholar 

  21. Katsouyanni K. Reproducibility and relative validity of an extensive semi-quantitative food frequency questionnaire using dietary records and biochemical markers among Greek schoolteachers. Int J Epidemiol. 1997;26:118S–127. https://doi.org/10.1093/ije/26.suppl_1.S118

    Article  Google Scholar 

  22. Panagiotakos DB, Pitsavos C, Stefanadis C. Dietary patterns: A Mediterranean diet score and its relation to clinical and biological markers of cardiovascular disease risk. Nutr Metab Cardiovasc Dis. 2006;16:559–68. https://doi.org/10.1016/j.numecd.2005.08.006

    Article  PubMed  Google Scholar 

  23. Julia C, Touvier M, Méjean C, Ducrot P, Péneau S, Hercberg S, et al. Development and Validation of an Individual Dietary Index Based on the British Food Standard Agency Nutrient Profiling System in a French Context. J Nutr. 2014;144:2009–17. https://doi.org/10.3945/jn.114.199679

    Article  CAS  PubMed  Google Scholar 

  24. Hart MJ, Torres SJ, McNaughton SA, Milte CM. Dietary patterns and associations with biomarkers of inflammation in adults: A systematic review of observational studies. Nutr J. 2021;20:24. https://doi.org/10.1186/s12937-021-00674-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Millar SR, Navarro P, Harrington JM, Perry IJ, Phillips CM. Associations between the nutrient profiling system underlying the nutri-score nutrition label and biomarkers of chronic low-grade inflammation: A cross-sectional analysis of a middle- to older-aged population. Nutrients. 2022;14:3122. https://doi.org/10.3390/nu14153122

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Fragopoulou E, Detopoulou P, Alepoudea E, Nomikos T, Kalogeropoulos N, Antonopoulou S. Associations between red blood cells fatty acids, desaturases indices and metabolism of platelet activating factor in healthy volunteers. PLEFA. 2021;164:102234. https://doi.org/10.1016/j.plefa.2020.102234

    Article  CAS  Google Scholar 

  27. Kavyani Z, Musazadeh V, Fathi S, Hossein Faghfouri A, Dehghan P, Sarmadi B. Efficacy of the omega-3 fatty acids supplementation on inflammatory biomarkers: An umbrella meta-analysis. Int Immunopharmacol. 2022;111:109104. https://doi.org/10.1016/j.intimp.2022.109104

    Article  CAS  PubMed  Google Scholar 

  28. Yamaguchi A, Botta E, Holinstat M. Eicosanoids in inflammation in the blood and the vessel. Front Pharm. 2022;13:997403. https://doi.org/10.3389/fphar.2022.997403

    Article  CAS  Google Scholar 

  29. Zeng X, Zhu M, Liu X, Chen X, Yuan Y, Li L, et al. Oleic acid ameliorates palmitic acid induced hepatocellular lipotoxicity by inhibition of ER stress and pyroptosis. Nutr Metab (Lond). 2020;17:11. https://doi.org/10.1186/s12986-020-0434-8

    Article  CAS  PubMed  Google Scholar 

  30. the PREDIMED study investigators, Castañer O, Corella D, Covas M-I, Sorlí JV, Subirana I, et al. In vivo transcriptomic profile after a Mediterranean diet in high–cardiovascular risk patients: a randomized controlled trial. Am J Clin Nutr. 2013;98:845–53. https://doi.org/10.3945/ajcn.113.060582

    Article  CAS  Google Scholar 

  31. Bloise AMN, de LG, Simões-Alves AC, Debora Santos A, Morio B, Costa-Silva JH. Cardiometabolic impacts of saturated fatty acids: are they all comparable. Int J Food Sci Nutr. 2022;73:1–14. https://doi.org/10.1080/09637486.2021.1940885

    Article  CAS  PubMed  Google Scholar 

  32. Suganami T, Nishida J, Ogawa Y. A Paracrine loop between adipocytes and macrophages aggravates inflammatory changes: Role of free fatty acids and tumor necrosis factor α. ATVB. 2005;25:2062–8. https://doi.org/10.1161/01.ATV.0000183883.72263.13

    Article  CAS  Google Scholar 

  33. Lee JY, Zhao L, Youn HS, Weatherill AR, Tapping R, Feng L, et al. Saturated Fatty Acid Activates but Polyunsaturated Fatty Acid Inhibits Toll-like Receptor 2 Dimerized with Toll-like Receptor 6 or 1. J Biol Chem. 2004;279:16971–9. https://doi.org/10.1074/jbc.M312990200

    Article  CAS  PubMed  Google Scholar 

  34. Hwang DH, Kim J-A, Lee JY. Mechanisms for the activation of Toll-like receptor 2/4 by saturated fatty acids and inhibition by docosahexaenoic acid. Eur J Pharm. 2016;785:24–35. https://doi.org/10.1016/j.ejphar.2016.04.024

    Article  CAS  Google Scholar 

  35. Biobaku F, Ghanim H, Batra M, Dandona P. Macronutrient-mediated inflammation and oxidative stress: Relevance to insulin resistance, obesity, and atherogenesis. J Clin End Metab. 2019;104:6118–28. https://doi.org/10.1210/jc.2018-01833

    Article  Google Scholar 

  36. Ojo O, Ojo OO, Zand N, Wang X. The effect of dietary fibre on gut microbiota, lipid profile, and inflammatory markers in patients with Type 2 Diabetes: A systematic review and meta-analysis of randomised controlled trials. Nutrients. 2021;13:1805. https://doi.org/10.3390/nu13061805

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Fragopoulou E, Detopoulou P, Nomikos T, Pliakis E, Panagiotakos DB, Antonopoulou S. Mediterranean wild plants reduce postprandial platelet aggregation in patients with metabolic syndrome. Metabolism. 2012;61:325–34. https://doi.org/10.1016/j.metabol.2011.07.006

    Article  CAS  PubMed  Google Scholar 

  38. Davis DW, Navalta JW, McGinnis GR, Serafica R, Izuora K, Basu A. Effects of acute dietary polyphenols and post-meal physical activity on postprandial metabolism in adults with features of the metabolic syndrome. Nutrients. 2020;12:1120. https://doi.org/10.3390/nu12041120

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kumar J, Rani K, Datt C. Molecular link between dietary fibre, gut microbiota and health. Mol Biol Rep. 2020;47:6229–37. https://doi.org/10.1007/s11033-020-05611-3

    Article  CAS  PubMed  Google Scholar 

  40. Lv J-L, Wu Q-J, Li X-Y, Gao C, Xu M-Z, Yang J, et al. Dietary protein and multiple health outcomes: An umbrella review of systematic reviews and meta-analyses of observational studies. Clin Nutr. 2022;41:1759–69. https://doi.org/10.1016/j.clnu.2022.06.005

    Article  PubMed  Google Scholar 

  41. Zhao Y, Liu L, Yang S, Liu G, Pan L, Gu C, et al. Mechanisms of Atherosclerosis induced by postprandial lipemia. Front Cardiovasc Med. 2021;8:636947. https://doi.org/10.3389/fcvm.2021.636947

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Phillips C, Shivappa N, Hébert J, Perry I. Dietary Inflammatory Index and Biomarkers of Lipoprotein Metabolism, Inflammation and Glucose Homeostasis in Adults. Nutrients. 2018;10:1033. https://doi.org/10.3390/nu10081033

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Detopoulou P, Demopoulos CA, Antonopoulou S. Micronutrients, Phytochemicals and Mediterranean Diet: A Potential Protective Role against COVID-19 through Modulation of PAF Actions and Metabolism. Nutrients. 2021;13:462. https://doi.org/10.3390/nu13020462

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Ducker GS, Rabinowitz JD. One-Carbon Metabolism in Health and Disease. Cell Metab. 2017;25:27–42. https://doi.org/10.1016/j.cmet.2016.08.009

    Article  CAS  PubMed  Google Scholar 

  45. Detopoulou P, Panagiotakos DB, Antonopoulou S, Pitsavos C, Stefanadis C. Dietary choline and betaine intakes in relation to concentrations of inflammatory markers in healthy adults: the ATTICA study. Am J Clin Nutr. 2008;87:424–30. https://doi.org/10.1093/ajcn/87.2.424

    Article  CAS  PubMed  Google Scholar 

  46. Reynolds AN, Akerman AP, Mann J. Dietary fibre and whole grains in diabetes management: Systematic review and meta-analyses. PLoS Med. 2020;17:e1003053. https://doi.org/10.1371/journal.pmed.1003053

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Juul F, Vaidean G, Parekh N. Ultra-processed Foods and Cardiovascular Diseases: Potential Mechanisms of Action. Adv Nutr. 2021;12:1673–80. https://doi.org/10.1093/advances/nmab049

    Article  PubMed  PubMed Central  Google Scholar 

  48. Detopoulou P, Panoutsopoulos G. How processed is the hospital menu? An analysis based on NOVA food scoring system. Clin Nutr ESPEN (in press)

  49. Martínez-González MA, Gea A. Mediterranean diet: the whole is more than the sum of its parts. Br J Nutr. 2012;108:577–8. https://doi.org/10.1017/S0007114512001833

    Article  CAS  PubMed  Google Scholar 

  50. Nagalla S, Bray PF. Personalized medicine in thrombosis: Back to the future. Blood. 2016;127:2665–71. https://doi.org/10.1182/blood-2015-11-634832

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to thank the field investigators of the ‘ATTICA’’ study that examined the participants during baseline: Natassa Katinioti, Spiros Vellas and Dina Massoura (physical examination), Efi Tsetsekou (physical/psychological evaluation), and the technical team: Marina Toutouza (principal investigator in biochemical analysis), Carmen Vassiliadou (genetic analysis), Manolis Kambaxis and Konstantina Palliou (nutritional evaluation), Konstantina Tselika and Sia Poulopoulou (biochemical evaluation) and Maria Toutouza (database management).

Funding

The study is funded by research grants from the Hellenic Cardiological Society and the Hellenic Atherosclerosis Society.

Author information

Authors and Affiliations

Authors

Contributions

DP conceptualized this study, performed nutritional analysis, interpreted the data, and wrote the paper; DE analyzed data, interpreted the results and critically reviewed the manuscript; AS interpreted the data and critically reviewed the manuscript; FE conducted research; CC and PC designed research and critically reviewed the manuscript; PDB designed research, critically reviewed the manuscript, and had primary responsibility for final content. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Demosthenes Panagiotakos.

Ethics declarations

Ethical approval

The study was approved by the Medical Research Ethics Committee of the supervised Institution and was carried out in accordance with the Declaration of Helsinki (1989) of the World Medical Association. All participants gave their written informed consent.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Detopoulou, P., Damigou, E., Antonopoulou, S. et al. Food Compass Score and its association with inflammatory markers and homocysteine in cardiovascular disease-free adults: a cross-sectional analysis of the ATTICA epidemiological study. Eur J Clin Nutr 77, 998–1004 (2023). https://doi.org/10.1038/s41430-023-01300-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41430-023-01300-z

Keywords

Search

Quick links