Relative validity and reliability of a diet risk score (DRS) for clinical practice

Emily A Johnston, Kristina S Petersen, Jeannette M Beasley, Tobias Krussig, Diane C Mitchell, Linda V Van Horn, Rick Weiss, Penny M Kris-Etherton, Emily A Johnston, Kristina S Petersen, Jeannette M Beasley, Tobias Krussig, Diane C Mitchell, Linda V Van Horn, Rick Weiss, Penny M Kris-Etherton

Abstract

Introduction: Adherence to cardioprotective dietary patterns can reduce risk for developing cardiometabolic disease. Rates of diet assessment and counselling by physicians are low. Use of a diet screener that rapidly identifies individuals at higher risk due to suboptimal dietary choices could increase diet assessment and brief counselling in clinical care.

Methods: We evaluated the relative validity and reliability of a 9-item diet risk score (DRS) based on the Healthy Eating Index (HEI)-2015, a comprehensive measure of diet quality calculated from a 160-item, validated food frequency questionnaire (FFQ). We hypothesised that DRS (0 (low risk) to 27 (high risk)) would inversely correlate with HEI-2015 score. Adults aged 35 to 75 years were recruited from a national research volunteer registry (ResearchMatch.org) and completed the DRS and FFQ in random order on one occasion. To measure reliability, participants repeated the DRS within 3 months.

Results: In total, 126 adults (87% female) completed the study. Mean HEI-2015 score was 63.3 (95% CI: 61.1 to 65.4); mean DRS was 11.8 (95% CI: 10.8 to 12.8). DRS and HEI-2015 scores were inversely correlated (r=-0.6, p<0.001; R2=0.36). The DRS ranked 37% (n=47) of subjects in the same quintile, 41% (n=52) within ±1 quintile of the HEI-2015 (weighted κ: 0.28). The DRS had high reliability (n=102, ICC: 0.83). DRS mean completion time was 2 min.

Conclusions: The DRS is a brief diet assessment tool, validated against a FFQ, that can reliably identify patients with reported suboptimal intake. Future studies should evaluate the effectiveness of DRS-guided diet assessment in clinical care. Trial registration details ClinicalTrials.gov (NCT03805373).

Keywords: dietary patterns; nutrition assessment; nutritional treatment; preventive counselling.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

References

    1. Virani SS, Alonso A, Benjamin EJ, et al. . Heart disease and stroke Statistics-2020 update: a report from the American heart association. Circulation 2020;141:e139–596. 10.1161/CIR.0000000000000757
    1. Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol 2014;2:634–47. 10.1016/S2213-8587(14)70102-0
    1. Micha R, Peñalvo JL, Cudhea F, et al. . Association between dietary factors and mortality from heart disease, stroke, and type 2 diabetes in the United States. JAMA 2017;317:912–24. 10.1001/jama.2017.0947
    1. Adams KM, Kohlmeier M, Zeisel SH. Nutrition education in U.S. medical schools: latest update of a national survey. Acad Med 2010;85:1537–42. 10.1097/ACM.0b013e3181eab71b
    1. England CY, Andrews RC, Jago R, et al. . A systematic review of brief dietary questionnaires suitable for clinical use in the prevention and management of obesity, cardiovascular disease and type 2 diabetes. Eur J Clin Nutr 2015;69:977–1003. 10.1038/ejcn.2015.6
    1. US Department of Health and Human Services, Healthy People . Office of Health Promotion and Disease Prevention. Nutrition and weight status objectives; 2018.
    1. Arnett DK, Blumenthal RS, Albert MA, et al. . ACC/AHA guideline on the primary prevention of cardiovascular disease: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019;2019:e563–95.
    1. US Preventive Services Task Force Healthful diet and physical activity for cardiovascular disease prevention in adults with cardiovascular risk factors: behavioral counseling. final recommendation statement, 2014. Available: [Accessed March 11, 2020].
    1. GBD 2017 Diet Collaborators Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the global burden of disease study 2017. Lancet 2019;393:1958–72.
    1. Academy of Nutrition and Dietetics Nutrition terminology reference manual (eNCPT): dietetics language for nutrition care. NCP step 1: nutrition assessment; 2018. [Accessed 29 Jan 2019].
    1. Vadiveloo M, Lichtenstein AH, Anderson C, et al. . Rapid diet assessment screening tools for cardiovascular disease risk reduction across healthcare settings: a scientific statement from the American Heart Association. Circ Cardiovasc Qual Outcomes 2020:HCQ0000000000000094. 10.1161/HCQ.0000000000000094
    1. Chiuve SE, Cook NR, Shay CM, et al. . Lifestyle-based prediction model for the prevention of CVD: the healthy heart score. J Am Heart Assoc 2014;3:e000954. 10.1161/JAHA.114.000954
    1. Aaron KJ, Sanders PW. Role of dietary salt and potassium intake in cardiovascular health and disease: a review of the evidence. Mayo Clin Proc 2013;88:987–95. 10.1016/j.mayocp.2013.06.005
    1. Buil-Cosiales P, Toledo E, Salas-Salvadó J, et al. . Association between dietary fibre intake and fruit, vegetable or whole-grain consumption and the risk of CVD: results from the PREvención con DIeta MEDiterránea (PREDIMED) trial. Br J Nutr 2016;116:534–46. 10.1017/S0007114516002099
    1. Hu D, Huang J, Wang Y, et al. . Fruits and vegetables consumption and risk of stroke: a meta-analysis of prospective cohort studies. Stroke 2014;45:1613–9. 10.1161/STROKEAHA.114.004836
    1. Firestone MJ, Beasley JM, Kwon SC, et al. . Asian American dietary sources of sodium and salt behaviors compared with other racial/ethnic groups, NHANES, 2011-2012. Ethn Dis 2017;27:241–8. 10.18865/ed.27.3.241
    1. Cobb LK, Anderson CAM, Elliott P, et al. . Methodological issues in cohort studies that relate sodium intake to cardiovascular disease outcomes: a science Advisory from the American Heart Association. Circulation 2014;129:1173–86. 10.1161/CIR.0000000000000015
    1. Va P, Dodd KW, Zhao L, et al. . Evaluation of measurement error in 24-hour dietary recall for assessing sodium and potassium intake among US adults - National Health and Nutrition Examination Survey (NHANES), 2014. Am J Clin Nutr 2019;109:1672–82. 10.1093/ajcn/nqz044
    1. Centers for Disease Control and Prevention Top 10 sources of sodium. sodium and food sources, 2017. Available:
    1. Singh GM, Danaei G, Farzadfar F, et al. . The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. PLoS One 2013;8:e65174. 10.1371/journal.pone.0065174
    1. Segal-Isaacson CJ, Wylie-Rosett J, Gans KM. Validation of a short dietary assessment questionnaire: the rapid eating and activity assessment for participants short version (REAP-S). Diabetes Educ 2004;30:774–81. 10.1177/014572170403000512
    1. McHugh ML. Interrater reliability: the kappa statistic. Biochem Med 2012;22:276–82. 10.11613/BM.2012.031
    1. Cleghorn CL, Harrison RA, Ransley JK, et al. . Can a dietary quality score derived from a short-form FFQ assess dietary quality in UK adult population surveys? Public Health Nutr 2016;19:2915–23. 10.1017/S1368980016001099
    1. Powell HS, Greenberg DL. Screening for unhealthy diet and exercise habits: the electronic health record and a healthier population. Prev Med Rep 2019;14:100816. 10.1016/j.pmedr.2019.01.020
    1. Cook A, Roberts K, O'Leary F, O’Leary F, et al. . Comparison of single questions and brief questionnaire with longer validated food frequency questionnaire to assess adequate fruit and vegetable intake. Nutrition 2015;31:941–7. 10.1016/j.nut.2015.01.006
    1. Aljuraiban GS, Gibson R, Oude Griep LM, et al. . Perspective: the application of a priori diet quality scores to cardiovascular disease Risk-A critical evaluation of current scoring systems. Adv Nutr 2020;11:10–24. 10.1093/advances/nmz059
    1. Dietary Guidelines Advisory Committee, U.S. Department of Health and Human Services, U.S. Department of Agriculture . 2015-2020 dietary guidelines for Americans; 2020.
    1. Swan WI, Vivanti A, Hakel-Smith NA, et al. . Nutrition care process and model update: toward realizing people-centered care and outcomes management. J Acad Nutr Diet 2017;117:2003–14. 10.1016/j.jand.2017.07.015
    1. Panagiotakos DB, Polystipioti A, Papairakleous N, et al. . Long-Term adoption of a Mediterranean diet is associated with a better health status in elderly people; a cross-sectional survey in Cyprus. Asia Pac J Clin Nutr 2007;16:331–7.
    1. Rasmussen E, Fosnacht Morgan AM, Munson R, et al. . Use of an electronic medical record to track adherence to the Mediterranean diet in a US neurology clinical practice. Mayo Clin Proc Innov Qual Outcomes 2018;2:49–59. 10.1016/j.mayocpiqo.2017.12.003
    1. Beasley JM, Sardina P, Johnston EA, et al. . Integrating a diet quality screener into a cardiology practice: assessment of nutrition counseling, cardiometabolic risk factors, and patient/provider satisfaction. Current developments in nutrition.
    1. Bailey RL, Mitchell DC, Miller CK, et al. . A dietary screening questionnaire identifies dietary patterns in older adults. J Nutr 2007;137:421–6. 10.1093/jn/137.2.421
    1. Epidemiology and Genomics Research Program National Cancer Institute. daily food checklist. dietary assessment resources. Available: [Accessed 15 Mar 2020].
    1. Fitzpatrick SL, Dickins K, Avery E, et al. . Effect of an obesity best practice alert on physician documentation and referral practices. Transl Behav Med 2017;7:881–90. 10.1007/s13142-017-0514-0
    1. Akenroye AT, Kumthekar AA, Alevizos MK, et al. . Implementing an electronic medical record-based reminder for cardiovascular risk screening in rheumatoid arthritis. Arthritis Care Res 2017;69:625–32. 10.1002/acr.22966
    1. O'Grady JS, Thacher TD, Chaudhry R. The effect of an automated clinical reminder on weight loss in primary care. J Am Board Fam Med 2013;26:745–50. 10.3122/jabfm.2013.06.120340
    1. Devries S, Agatston A, Aggarwal M, et al. . A deficiency of nutrition education and practice in cardiology. Am J Med 2017;130:1298–305. 10.1016/j.amjmed.2017.04.043
    1. Vetter ML, Herring SJ, Sood M, et al. . What do resident physicians know about nutrition? An evaluation of attitudes, self-perceived proficiency and knowledge. J Am Coll Nutr 2008;27:287–98. 10.1080/07315724.2008.10719702
    1. Ball L, Johnson C, Desbrow B, et al. . General practitioners can offer effective nutrition care to patients with lifestyle-related chronic disease. J Prim Health Care 2013;5:59–69. 10.1071/HC13059
    1. Beasley J, Riley WT, Jean-Mary J. Accuracy of a PDA-based dietary assessment program. Nutrition 2005;21:672–7. 10.1016/j.nut.2004.11.006
    1. Gans KM, Risica PM, Wylie-Rosett J, et al. . Development and evaluation of the nutrition component of the rapid eating and activity assessment for patients (REAP): a new tool for primary care providers. J Nutr Educ Behav 2006;38:286–92. 10.1016/j.jneb.2005.12.002
    1. McLean RM, Farmer VL, Nettleton A, et al. . Assessment of dietary sodium intake using a food frequency questionnaire and 24-hour urinary sodium excretion: a systematic literature review. J Clin Hypertens 2017;19:1214–30. 10.1111/jch.13148
    1. USDA-FNS HEI scores for Americans, 2019. Available: [Accessed March 31, 2020].
    1. National Center for Health Statistics, Centers for Disease Control and Prevention Ambulatory Care Use and Physician office visits; FastStats - Physician office visits. Available: [Accessed 23 Aug 2019].

Source: PubMed

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