Dietary Intake Measured from a Self-Administered, Online 24-Hour Recall System Compared with 4-Day Diet Records in an Adult US Population

Published:August 09, 2012DOI:


      The objective of this study was to compare nutrient intake of two 24-hour recalls collected using the Automated Self-Administered 24-Hour Dietary Recall to a 4-day food record. A convenience sample of university-affiliated adults was chosen because of the diverse population at this university. Ninety-three participants completed the 4-day record and were then prompted to complete two 24-hour recalls within 2 weeks after. Pearson correlation coefficients were calculated for nutrient intake and Healthy Eating Index 2005 (HEI-2005), a summary measure of diet quality. Nutrients and HEI-2005 were also divided into quartiles and percent agreement and κ values were calculated. Results indicated that mean nutrient intakes were similar across the recall and record. Pearson correlations comparing the record and recall ranged from 0.16 to 0.78; with most correlations being between 0.4 and 0.6. For quartiles of dietary intake, percent agreement was moderately high (62.6% to 79.8%), with low to moderate κ values (κ=0.11 to 0.52). The 24-hour recall provided a good overall ranking of intake compared to a 4-day food record. Overall correlations and percent agreement were moderate across the nutrients and HEI-2005, suggesting that the 24-recalls may have been capturing different information than the food record in our population. Individual researchers will need to weigh the benefits of a more automated system, such as efficiency, against the potential loss of food item detail and potential need for larger sample sizes, for their particular study populations.


      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'


      Subscribe to Journal of the Academy of Nutrition and Dietetics
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect


        • Artinian N.T.
        • Fletcher G.F.
        • Mozaffarian D.
        • et al.
        Interventions to promote physical activity and dietary lifestyle changes for cardiovascular risk factor reduction in adults: A scientific statement from the American Heart Association.
        Circulation. 2010; 122: 406-441
        • Hu F.B.
        Diet and lifestyle influences on risk of coronary heart disease.
        Curr Atheroscler Rep. 2009; 11: 257-263
        • Ott J.J.
        • Ullrich A.
        • Mascarenhas M.
        • Stevens G.A.
        Global cancer incidence and mortality caused by behavior and infection.
        J Public Health (Oxf). 2011; 33: 223-233
        • Weiderpass E.
        Lifestyle and cancer risk.
        J Prev Med Public Health. 2010; 43: 459-471
        • Zimmerman T.P.
        • Hull S.G.
        • McNutt S.
        • et al.
        Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute Automated Self-administered 24-Hour Recall (ASA24).
        J Food Compost Anal. 2009; 22: S48-S51
        • Guenther P.M.
        • Reedy J.
        • Krebs-Smith S.M.
        Development of the Healthy Eating Index-2005.
        J Am Diet Assoc. 2008; 108: 1896-1901
        • Miller P.E.
        • Mitchell D.C.
        • Harala P.L.
        • Pettit J.M.
        • Smiciklas-Wright H.
        • Hartman T.J.
        Development and evaluation of a method for calculating the Healthy Eating Index-2005 using the Nutrition Data System for Research.
        Public Health Nutr. 2011; 14: 306-313
        • Guenther P.M.
        • Reedy J.
        • Krebs-Smith S.
        • Reeve B.B.
        • Basiotis P.P.
        Development and Evaluation of the Healthy Eating Index-2005.
        Center for Nutrition Policy and Promotion, US Department of Agriculture, Washington, DC2007
        • Knudsen V.K.
        • Gille M.B.
        • Nielsen T.H.
        • Christensen T.
        • Fagt S.
        • Biltoft-Jensen A.
        Relative validity of the pre-coded food diary used in the Danish National Survey of Diet and Physical Activity.
        Public Health Nutr. 2011; 14: 2110-2116
        • Barrett J.S.
        • Gibson P.R.
        Development and validation of a comprehensive semi-quantitative food frequency questionnaire that includes FODMAP intake and glycemic index.
        J Am Diet Assoc. 2010; 110: 1469-1476
        • Arab L.
        • Wesseling-Perry K.
        • Jardack P.
        • Henry J.
        • Winter A.
        Eight self-administered 24-hour dietary recalls using the Internet are feasible in African Americans and Whites: The Energetics Study.
        J Am Diet Assoc. 2010; 110: 857-864
        • Ogden C.L.
        • Carroll M.D.
        • Curtin L.R.
        • McDowell M.A.
        • Tabak C.J.
        • Flegal K.M.
        Prevalence of overweight and obesity in the United States, 1999-2004.
        JAMA. 2006; 295: 1549-1555


      C. L. Frankenfeld is an assistant professor, Department of Global and Community Health, George Mason University, Fairfax, VA


      J. K. Poudrier is an MPH candidate, Department of Global and Community Health, George Mason University, Fairfax, VA


      N. M. Waters is a professor, Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA


      P. M. Gillevet is a professor, Department of Environmental Science and Policy, George Mason University, Fairfax, VA


      Y. Xu is a doctoral student, Department of Physics, Astronomy, and Computational Science, George Mason University, Fairfax, VA