Skip to main content
Log in

Assessing the diet quality of individuals with rheumatic conditions: a cross-sectional study

  • Observational Research
  • Published:
Rheumatology International Aims and scope Submit manuscript

Abstract

Arthritis is a significant cause of chronic pain and disability, affecting around 3.5 million Australians. However, little is known regarding the overall diet quality of those living with arthritis. This study aimed to assess the dietary quality of Australians living in the Australian Capital Territory region with arthritis. This cross-sectional study analysed dietary intake data of individuals living with arthritis using a validated food frequency questionnaire. Dietary quality was assessed using the Healthy Eating Index-2015 (HEI-2015) to examine associations between diet composition, age, income and arthritis impact using the short form of the Arthritis Impact Measurement Scales 2 (AIMS2-SF). Participants, predominantly female (82.6%), were grouped by age: 18–50 years (n = 32), 50–64 years (n = 31), and 65 + years (n = 23). Significant correlations were observed between age and HEI-2015 (rs = 0.337, p = 0.002) and income and AIMS2-SF (rs = − 0.353, p < 0.001). The mean HEI-2015 score for the 18–49 years group was fair (72.1 ± 12.3), lower than both the 50–64 years group score of good (81.5 ± 9.72) (p = 0.004), and the 65 + years group score of good (81.8 ± 12.1) (p = 0.007). Dietary fibre, seafood and plant protein, fatty acids, and refined grains were identified as dietary components of concern for the 18–49 years group, and total fruit and added sugar were components of concern for people in the worst tertile for the AIMS2-SF. People aged between 18 and 49 years are consuming a lower quality diet compared to people aged 50 years and over. Further research is needed to understand why this association is occurring in this high socioeconomic region of Australia (a high-income country).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Australian Bureau of Statistics (2017) Arthritis and osteoporosis. https://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.001~2014-15~Main%20Features~Arthritis%20and%20osteoporosis~8. Accessed 7th Dec 2017

  2. Access Economics Pty Limited (2007) Painful realities: the economic impact of arthritis in Australia in 2007. Forest Lodge, NSW

    Google Scholar 

  3. Carson TL, Hidalgo B, Ard JD, Affuso O (2014) Dietary interventions and quality of life: a systematic review of the literature. J Nutr Educ Behav 46(2):90–101. https://doi.org/10.1016/j.jneb.2013.09.005

    Article  PubMed  Google Scholar 

  4. Tedeschi SK, Frits M, Cui J, Zhang ZZ, Mahmoud T, Iannaccone C, Lin TC et al (2017) Diet and rheumatoid arthritis symptoms: survey results from a rheumatoid arthritis registry. Arthritis Care Res (Hoboken) 69(12):1920–1925. https://doi.org/10.1002/acr.23225

    Article  CAS  Google Scholar 

  5. Kosari S, Naunton M, Yee K, Naumovski N, Thomas J (2018) Fish oil for rheumatoid arthritis: a home medicine review initiative. Am J Ther. https://doi.org/10.1097/mjt.0000000000000730

  6. O'Connor Á (2014) An overview of the role of diet in the treatment of rheumatoid arthritis. Nutr Bull 39(1):74–88. https://doi.org/10.1111/nbu.12041

    Article  Google Scholar 

  7. Stamp LK, James MJ, Cleland LG (2005) Diet and rheumatoid arthritis: a review of the literature. Semin Arthritis Rheu 35(2):77–94. https://doi.org/10.1016/j.semarthrit.2005.05.001

    Article  CAS  Google Scholar 

  8. Berube LT, Kiely M, Yazici Y, Woolf K (2017) Diet quality of individuals with rheumatoid arthritis using the Healthy Eating Index (HEI)-2010. Nutr Health 23(1):17–24. https://doi.org/10.1177/0260106016688223

    Article  PubMed  Google Scholar 

  9. Wirt A, Collins CE (2009) Diet quality—what is it and does it matter? Public Health Nutr 12(12):2473–2492. https://doi.org/10.1017/S136898000900531X

    Article  PubMed  Google Scholar 

  10. Foscolou A, Critselis E, Tyrovolas S, Chrysohoou C, Sidossis SL, Naumovski N, Matalas A-L et al (2019) The effect of exclusive olive oil consumption on successful aging: a combined analysis of the ATTICA and MEDIS epidemiological studies. Foods. https://doi.org/10.3390/foods8010025

  11. Karatay S, Erdem T, Kiziltunc A, Melikoglu MA, Yildirim K, Cakir E, Ugur M et al (2006) General or personal diet: the individualized model for diet challenges in patients with rheumatoid arthritis. Rheumatol Int 26(6):556–560. https://doi.org/10.1007/s00296-005-0018-y

    Article  PubMed  Google Scholar 

  12. Casas R, Sacanella E, Estruch R (2014) The immune protective effect of the Mediterranean diet against chronic low-grade inflammatory diseases. Endocr Metab Immune Disord Drug Targets 14(4):245–254

    Article  CAS  Google Scholar 

  13. Senftleber NK, Nielsen SM, Andersen JR, Bliddal H, Tarp S, Lauritzen L, Furst DE et al (2017) Marine oil supplements for arthritis pain: a systematic review and meta-analysis of randomized trials. Nutrients. https://doi.org/10.3390/nu9010042

  14. Abdulrazaq M, Innes JK, Calder PC (2017) Effect of omega-3 polyunsaturated fatty acids on arthritic pain: a systematic review. Nutrition 39–40:57–66. https://doi.org/10.1016/j.nut.2016.12.003

    Article  CAS  PubMed  Google Scholar 

  15. Liao KP (2017) Cardiovascular disease in patients with rheumatoid arthritis. Trends Cardiovas Med 27(2):136–140. https://doi.org/10.1016/j.tcm.2016.07.006

    Article  Google Scholar 

  16. Rahman MM, Kopec JA, Anis AH, Cibere J, Goldsmith CH (2013) Risk of cardiovascular disease in patients with osteoarthritis: a prospective longitudinal study. Arthritis Care Res (Hoboken) 65 (12):1951–1958. https://doi.org/10.1002/acr.22092s

  17. Rosato V, Temple NJ, La Vecchia C, Castellan G, Tavani A, Guercio V (2019) Mediterranean diet and cardiovascular disease: a systematic review and meta-analysis of observational studies. Eur J Nutr 58(1):173–191. https://doi.org/10.1007/s00394-017-1582-0

    Article  CAS  PubMed  Google Scholar 

  18. National Cancer Institute (2017) Comparing the HEI-2015, HEI–2010 & HEI–2005. US Department of Health & Human Services. https://epi.grants.cancer.gov/hei/comparing.html. Accessed 4th Dec 2017

  19. Folstein MF, Folstein SE, McHugh PR (1975) "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12(3):189–198

  20. World Health Organization BMI classification (2017). https://apps.who.int/bmi/index.jsp?introPage=intro_3.html. Accessed 14th Dec 2017

  21. Guillemin F, Coste J, Pouchot J, Ghezail M, Bregeon C, Sany J (1997) The AIMS2-SF: a short form of the Arthritis Impact Measurement Scales 2. French Quality of Life in Rheumatology Group. Arthritis Rheum 40(7):1267–1274. https://doi.org/10.1002/1529-0131(199707)40:7%3c1267::Aid-art11%3e3.0.Co;2-l

  22. American College of Rheumatology (2015) Arthritis Impact Measurement Scales (AIMS/AIMS2). https://www.rheumatology.org/I-Am-A/Rheumatologist/Research/Clinician-Researchers/Arthritis-Impact-Measurement-Scales-AIMS. Accessed 21 Jan 2020

  23. Naumovski N, Veysey M, Ng X, Boyd L, Dufficy L, Blades B, Travers C et al (2010) The folic acid endophenotype and depression in an elderly population. J Nutr Health Aging 14(10):829–833

    Article  CAS  Google Scholar 

  24. Dufficy L, Naumovski N, Ng X, Blades B, Yates Z, Travers C, Lewis P et al (2006) G80A reduced folate carrier SNP influences the absorption and cellular translocation of dietary folate and its association with blood pressure in an elderly population. Life Sci 79(10):957–966. https://doi.org/10.1016/j.lfs.2006.05.009

    Article  CAS  PubMed  Google Scholar 

  25. Fowke JH, Schlundt D, Gong Y, Jin F, Shu X-o, Wen W, Liu D-k et al (2004) Impact of season of food frequency questionnaire administration on dietary reporting. Ann Epidemiol 14(10):778–785. https://doi.org/10.1016/j.annepidem.2004.02.002

    Article  PubMed  Google Scholar 

  26. Dehghan M, Mente A, Zhang X, Swaminathan S, Li W, Mohan V, Iqbal R et al (2017) Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study. Lancet 390(10107):2050–2062. https://doi.org/10.1016/S0140-6736(17)32252-3

    Article  CAS  PubMed  Google Scholar 

  27. Williams PG (2012) Evaluation of the evidence between consumption of refined grains and health outcomes. Nutr Rev 70(2):80–99. https://doi.org/10.1111/j.1753-4887.2011.00452.x

  28. Foscolou A, D'Cunha NM, Naumovski N, Tyrovolas S, Chrysohoou C, Rallidis L, Matalas A-L et al (2019) The association between whole grain products consumption and successful aging: a combined analysis of MEDIS and ATTICA epidemiological studies. Nutrients 11(6):1221. https://doi.org/10.3390/nu11061221

    Article  CAS  PubMed Central  Google Scholar 

  29. Roager HM, Vogt JK, Kristensen M, Hansen LBS, Ibrügger S, Mærkedahl RB, Bahl MI et al (2019) Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial. Gut 68(1):83. https://doi.org/10.1136/gutjnl-2017-314786

    Article  CAS  PubMed  Google Scholar 

  30. Tedeschi SK, Bathon JM, Giles JT, Lin TC, Yoshida K, Solomon DH (2018) Relationship between fish consumption and disease activity in rheumatoid arthritis. Arthritis Care Res (Hoboken) 70(3):327–332. https://doi.org/10.1002/acr.23295

    Article  Google Scholar 

  31. Zampelas A, Panagiotakos DB, Pitsavos C, Das UN, Chrysohoou C, Skoumas Y, Stefanadis C (2005) Fish consumption among healthy adults is associated with decreased levels of inflammatory markers related to cardiovascular disease. J Am Coll Cardiol 46(1):120. https://doi.org/10.1016/j.jacc.2005.03.048

    Article  CAS  PubMed  Google Scholar 

  32. Mozaffarian D, Micha R, Wallace S (2010) Effects on coronary heart disease of increasing polyunsaturated fat in place of saturated fat: a systematic review and meta-analysis of randomized controlled trials. PLoS Med 7(3):e1000252. https://doi.org/10.1371/journal.pmed.1000252

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Stanhope KL (2016) Sugar consumption, metabolic disease and obesity: the state of the controversy. Crit Rev Clin Lab Sci 53(1):52–67. https://doi.org/10.3109/10408363.2015.1084990

    Article  CAS  PubMed  Google Scholar 

  34. Stern D, Mazariegos M, Panozo E, Campos H, Malik VS, Lajous M, Ridaura R (2019) Sugar-sweetened soda consumption increases diabetes risk among mexican women. J Nutr 149(5):795–803. https://doi.org/10.1093/jn/nxy298

    Article  PubMed  Google Scholar 

  35. Imamura F, O'Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG (2015) Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction. BMJ 351:h3576. https://doi.org/10.1136/bmj.h3576

    Article  PubMed  PubMed Central  Google Scholar 

  36. Aeberli I, Gerber PA, Hochuli M, Kohler S, Haile SR, -Berthold I, Berthold HK et al (2011) Low to moderate sugar-sweetened beverage consumption impairs glucose and lipid metabolism and promotes inflammation in healthy young men: a randomized controlled trial. Am J Clin Nutr 94(2):479–485. https://doi.org/10.3945/ajcn.111.013540

    Article  CAS  PubMed  Google Scholar 

  37. Skeoch S, Bruce IN (2015) Atherosclerosis in rheumatoid arthritis: is it all about inflammation? Nat Rev Rheumatol 11(7):390–400. https://doi.org/10.1038/nrrheum.2015.40

    Article  CAS  PubMed  Google Scholar 

  38. Forsyth C, Kouvari M, D'Cunha NM, Georgousopoulou EN, Panagiotakos DB, Mellor DD, Kellett J et al (2018) The effects of the Mediterranean diet on rheumatoid arthritis prevention and treatment: a systematic review of human prospective studies. Rheumatol Int 38(5):737–747. https://doi.org/10.1007/s00296-017-3912-1

    Article  PubMed  Google Scholar 

  39. Comee L, Taylor CA, Nahikian-Nelms M, Ganesan LP, -Schoen JL (2019) Dietary patterns and nutrient intake of individuals with rheumatoid arthritis and osteoarthritis in the United States. Nutrition 67–68:110533. https://doi.org/10.1016/j.nut.2019.06.014

    Article  CAS  PubMed  Google Scholar 

  40. Kant AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104(4):615–635. https://doi.org/10.1016/j.jada.2004.01.010

    Article  PubMed  Google Scholar 

  41. Thiele S, Mensink GB, Beitz R (2004) Determinants of diet quality. Public Health Nutr 7(1):29–37

    Article  Google Scholar 

  42. Leung CW, Epel ES, Ritchie LD, Crawford PB, Laraia BA (2014) Food insecurity is inversely associated with diet quality of lower-income adults. J Acad Nutr Diet 114(12):1943–1953.e1942. https://doi.org/10.1016/j.jand.2014.06.353

    Article  PubMed  Google Scholar 

  43. Willett W (2012) Nutritional epidemiology. Oxford University Press, Oxford

    Book  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the members of Arthritis Australia Australian Capital Territory for their participation and time commitment, and Michael Farr for his assistance with recruitment. The authors would also like to thank Dr. Jackson Thomas for his assistance in achieving the funding for this project, Ms Maddy Hunter, and Dr Rati Jani for her advice on the statistical analysis. We would also like to acknowledge and thank Kalijah Madsen-Guarini, Stephanie Feltham, and Taylor Rourke for their assistance with data collection.

Funding

This study was funded by Arthritis Australia Australian Capital Territory and registered with the University of Canberra Research and Innovation Office. The research grant was awarded to authors Andrew J. McKune, Stephen Isbel, Nenad Naumovski, Ekavi N. Georgousopoulou, and Duane D. Mellor.

Author information

Authors and Affiliations

Authors

Contributions

The study was conceptualised by ENG, SI, RD, DDM, JK, AJM, and NN. Data collection was performed by NMD, ENG, SI, AJM, and NN. The manuscript was drafted by TC and NMD. All authors edited the paper, provided critical feedback, and reviewed the final version prior to submission.

Corresponding author

Correspondence to Nenad Naumovski.

Ethics declarations

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical approval

This project was approved by the Human Research Ethics Committee of the University of Canberra (HREC—17-77) and was carried out in accordance with the Declaration of Helsinki (1989) of the World Medical Association.

Informed consent

Participants were informed of the study aims and procedures and provided written informed consent for study participation prior to enrolment.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Carter, T., D’Cunha, N.M., Georgousopoulou, E.N. et al. Assessing the diet quality of individuals with rheumatic conditions: a cross-sectional study. Rheumatol Int 40, 1439–1448 (2020). https://doi.org/10.1007/s00296-020-04527-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00296-020-04527-2

Keywords

Navigation