Development of the Penn Healthy Diet screener with reference to adult dietary intake data from the National Health and Nutrition Examination Survey

Charlene W Compher, Ryan Quinn, Frances Burke, Doris Piccinin, Linda Sartor, James D Lewis, Gary D Wu, Charlene W Compher, Ryan Quinn, Frances Burke, Doris Piccinin, Linda Sartor, James D Lewis, Gary D Wu

Abstract

Background: There is a need for a feasible, user-friendly tool that can be employed to assess the overall quality of the diet in U.S.

Clinical settings: Our objectives were to develop the Penn Healthy Diet (PHD) screener, evaluate screener item correlations with Healthy Eating Index (HEI)-2015 components, and develop a simple scoring algorithm.

Methods: National Health and Nutrition Examination Survey (NHANES) 2017-18 dietary recall data in adults were used to define food examples in screener food groups based on components of the HEI-2015, Diet Approach to Stop Hypertension, and Alternative Mediterranean diet approaches. Instrument Content Validity Index (I-CVI) was used to evaluate the clarity and relevance of the screener. Patient acceptability was evaluated by completion time and response rates. NHANES 2017-18 food recall data were used to simulate responses to the screener items, which were evaluated for association with HEI-2015 components. A scoring algorithm was developed based on screener items moderately or strongly associated with HEI-2015 components. Reproducibility was tested using NHANES 2015-16 data.

Results: The screener had strong clarity (I-CVI = 0.971) and relevance for nutrition counseling (I-CVI = 0.971). Median (IQR) completion time was 4 (3-5) minutes on paper and 4 (4-8) minutes online, and 73% of patients invited online completed the survey. Based on simulated NHANES participant screener responses, 15 of the 29 screener items were moderately or strongly associated with HEI-2015 components, forming the basis of the scoring algorithm with a range of 0-63 points, where higher score indicates a healthier diet. The median (IQR) screener and HEI-2015 scores were 14.96 (11.99-18.36) and 48.96 (39.51-59.48), respectively. The simulated PHD score was highly correlated with the HEI-2015 score (Spearman rho 0.75) in NHANES 2017-18 and confirmed in NHANES 2015-16 data (Spearman rho 0.75).

Conclusions: The Penn Healthy Diet screener may be a useful tool for assessing diet quality due to its acceptable content validity, ease of administration, and ability to distinguish between servings of key food groups associated with a healthy versus unhealthy diet according to the HEI-2015. Additional research is needed to further establish the instrument's validity, and to refine a scoring algorithm.

Keywords: Adult; Food pattern; HEI-2015; Healthy diet; NHANES; Screener.

Conflict of interest statement

The authors have no competing interests with regard to this publication.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Heat map of Spearman correlations between individual simulated Penn Healthy Diet Screener items (y axis) to Healthy Eating Index (HEI)-2015 components (x axis). Data from adult respondents to the National Health and Nutrition Examination Survey 2015–16 are in the left panel and from the 2017–18 sample are in the right panel. Correlations colored green are positively and red are negatively associated. Abbreviations: HEI = Healthy Eating Index-2015
Fig. 2
Fig. 2
Scatter plot and regression line comparing the simulated Penn Healthy Diet screener score (x-axis) and the Healthy Eating Index (HEI)-2015 score (y-axis) based on 2017–18 National Health and Nutrition Examination Survey (NHANES) in adult participants. The Spearman rho is 0.75
Fig. 3
Fig. 3
Scatter plots comparing the simulated Penn Healthy Diet screener score on the x-axis and the total Healthy Eating Index (HEI)-2015 score on the y-axis based on 2017–18 National Health and Nutrition Examination Survey (NHANES) in adult participants stratified by self-reported racial/ethnic group. The Spearman rho correlations are listed in each plot

References

    1. English LK, et al. Evaluation of dietary patterns and all-cause mortality: a systematic review. JAMA Netw Open. 2021;4(8):e2122277. doi: 10.1001/jamanetworkopen.2021.22277.
    1. Finicelli M, et al. Metabolic syndrome, Mediterranean diet, and polyphenols: evidence and perspectives. J Cell Physiol. 2019;234(5):5807–5826. doi: 10.1002/jcp.27506.
    1. Bovolini A, et al. Metabolic syndrome pathophysiology and predisposing factors. Int J Sports Med. 2021;42(3):199–214. doi: 10.1055/a-1263-0898.
    1. Moore JX, Chaudhary N, Akinyemiju T. Metabolic syndrome prevalence by race/ethnicity and sex in the United States, National Health and nutrition examination survey, 1988-2012. Prev Chronic Dis. 2017;14:E24. doi: 10.5888/pcd14.160287.
    1. Prevention, C.f.D.C.a . Heart Disease Facts. 2021.
    1. Prevention, C.f.D.C.a . Diabetes and Prediabetes. 2020.
    1. Prevention, C.f.D.C.a . An Update on Cancer Deaths in the United States. 2021.
    1. Brauer P, Royall D, Rodrigues A. Use of the healthy eating index in intervention studies for Cardiometabolic risk conditions: a systematic review. Adv Nutr. 2021;12(4):1317–1331. doi: 10.1093/advances/nmaa167.
    1. Liese AD, et al. The dietary patterns methods project: synthesis of findings across cohorts and relevance to dietary guidance. J Nutr. 2015;145(3):393–402. doi: 10.3945/jn.114.205336.
    1. Schwingshackl L, Bogensberger B, Hoffmann G. Diet quality as assessed by the healthy eating index, alternate healthy eating index, dietary approaches to stop hypertension score, and health outcomes: an updated systematic review and Meta-analysis of cohort studies. J Acad Nutr Diet. 2018;118(1):74–100 e11. doi: 10.1016/j.jand.2017.08.024.
    1. Cena H, Calder PC. Defining a healthy diet: evidence for the role of contemporary dietary patterns in health and disease. Nutrients. 2020;12(2):334. doi: 10.3390/nu12020334.
    1. Fung TT, et al. Mediterranean diet and incidence of and mortality from coronary heart disease and stroke in women. Circulation. 2009;119(8):1093–1100. doi: 10.1161/CIRCULATIONAHA.108.816736.
    1. Izadi V, et al. Adherence to the DASH and Mediterranean diets is associated with decreased risk for gestational diabetes mellitus. Nutrition. 2016;32(10):1092–1096. doi: 10.1016/j.nut.2016.03.006.
    1. Donazar-Ezcurra M, et al. Pre-pregnancy adherences to empirically derived dietary patterns and gestational diabetes risk in a Mediterranean cohort: the Seguimiento Universidad de Navarra (SUN) project. Br J Nutr. 2017;118(9):715–721. doi: 10.1017/S0007114517002537.
    1. Di Daniele N, et al. Impact of Mediterranean diet on metabolic syndrome, cancer and longevity. Oncotarget. 2017;8(5):8947–8979. doi: 10.18632/oncotarget.13553.
    1. Dinu M, et al. Mediterranean diet and multiple health outcomes: an umbrella review of meta-analyses of observational studies and randomised trials. Eur J Clin Nutr. 2018;72(1):30–43. doi: 10.1038/ejcn.2017.58.
    1. Miller PE, et al. Comparison of 4 established DASH diet indexes: examining associations of index scores and colorectal cancer. Am J Clin Nutr. 2013;98(3):794–803. doi: 10.3945/ajcn.113.063602.
    1. Appel LJ, et al. A clinical trial of the effects of dietary patterns on blood pressure. DASH collaborative research group. N Engl J Med. 1997;336(16):1117–1124. doi: 10.1056/NEJM199704173361601.
    1. Azadbakht L, et al. Beneficial effects of a dietary approaches to stop hypertension eating plan on features of the metabolic syndrome. Diabetes Care. 2005;28(12):2823–2831. doi: 10.2337/diacare.28.12.2823.
    1. Castro-Barquero S, et al. Dietary strategies for metabolic syndrome: a comprehensive review. Nutrients. 2020;12(10):2983. doi: 10.3390/nu12102983.
    1. Obarzanek E, et al. Effects on blood lipids of a blood pressure-lowering diet: the dietary approaches to stop hypertension (DASH) trial. Am J Clin Nutr. 2001;74(1):80–89. doi: 10.1093/ajcn/74.1.80.
    1. Sacks FM, et al. Effects on blood pressure of reduced dietary sodium and the dietary approaches to stop hypertension (DASH) diet. DASH-sodium collaborative research group. N Engl J Med. 2001;344(1):3–10. doi: 10.1056/NEJM200101043440101.
    1. Institute, N.C . Short Dietary Assessment Instruments. 2021.
    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(5):774. doi: 10.1177/014572170403000512.
    1. Bailey RL, et al. A dietary screening questionnaire identifies dietary patterns in older adults. J Nutr. 2007;137(2):421–426. doi: 10.1093/jn/137.2.421.
    1. Schroder H, et al. A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr. 2011;141(6):1140–1145. doi: 10.3945/jn.110.135566.
    1. Institute, N.C . Dietary Screener Questionnaire (DSQ) in the National Health and Nutrition Examination Survey (NHANES) 2003-2006. 2020.
    1. Vadiveloo M, 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;13(9):e000094. doi: 10.1161/HCQ.0000000000000094.
    1. Krebs-Smith SM, et al. Update of the healthy eating index: HEI-2015. J Acad Nutr Diet. 2018;118(9):1591–1602. doi: 10.1016/j.jand.2018.05.021.
    1. Reedy J, et al. Evaluation of the healthy eating Index-2015. J Acad Nutr Diet. 2018;118(9):1622–1633. doi: 10.1016/j.jand.2018.05.019.
    1. Lloyd-Jones DM, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic impact goal through 2020 and beyond. Circulation. 2010;121(4):586–613. doi: 10.1161/CIRCULATIONAHA.109.192703.
    1. CDC. National Health and Nutrition Examination Survey. 2017–18 [cited 2021 October 3]; Available from: .
    1. USDA . Food Patterns Equivalents Database. 2021.
    1. Miller TL, et al. Content validation of a home parenteral nutrition-patient-reported outcome questionnaire. Nutr Clin Pract. 2017;32(6):806–813. doi: 10.1177/0884533617725041.
    1. Hinkle DE, Wiersma W, Jurs SG. Applied Statistics for the Behavioral Sciences. 5. Houghton Mifflin Harcourt; 2003.
    1. USDA . 2015-2020 Dietary Guidelines for Americans. 2016.

Source: PubMed

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