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Research Research and Professional Briefs| Volume 115, ISSUE 1, P87-94, January 2015

Self-Monitoring of Dietary Intake by Young Women: Online Food Records Completed on Computer or Smartphone Are as Accurate as Paper-Based Food Records but More Acceptable

Published:September 26, 2014DOI:https://doi.org/10.1016/j.jand.2014.07.036

      Abstract

      Adherence and accuracy of self-monitoring of dietary intake influences success in weight management interventions. Information technologies such as computers and smartphones have the potential to improve adherence and accuracy by reducing the burden associated with monitoring dietary intake using traditional paper-based food records. We evaluated the acceptability and accuracy of three different 7-day food record methods (online accessed via computer, online accessed via smartphone, and paper-based). Young women (N=18; aged 23.4±2.9 years; body mass index 24.0±2.2) completed the three 7-day food records in random order with 7-day washout periods between each method. Total energy expenditure (TEE) was derived from resting energy expenditure (REE) measured by indirect calorimetry and physical activity level (PAL) derived from accelerometers (TEE=REE×PAL). Accuracy of the three methods was assessed by calculating absolute (energy intake [EI]–TEE) and percentage difference (EI/TEE×100) between self-reported EI and TEE. Acceptability was assessed via questionnaire. Mean±standard deviation TEE was 2,185±302 kcal/day and EI was 1,729±249 kcal/day, 1,675±287kcal/day, and 1,682±352 kcal/day for computer, smartphone, and paper records, respectively. There were no significant differences between absolute and percentage differences between EI and TEE for the three methods: computer, –510±389 kcal/day (78%); smartphone, –456±372 kcal/day (80%); and paper, –503±513 kcal/day (79%). Half of participants (n=9) preferred computer recording, 44.4% preferred smartphone, and 5.6% preferred paper-based records. Most participants (89%) least preferred the paper-based record. Because online food records completed on either computer or smartphone were as accurate as paper-based records but more acceptable to young women, they should be considered when self-monitoring of intake is recommended to young women.

      Keywords

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      References

        • Burke L.E.
        • Wang J.
        • Sevick M.A.
        Self-monitoring in weight loss: A systematic review of the literature.
        J Am Diet Assoc. 2011; 111: 92-102
        • Thompson F.
        • Subar A.
        Dietary assessment methodology.
        in: Coulston A. Boushey C. Ferruzzi M. Nutrition in the Prevention and Treatment of Disease. 3rd ed. Elsevier Inc, Burlington, MA2013: 5-46
        • Burke L.E.
        • Warziski M.
        • Starrett T.
        • et al.
        Self-monitoring dietary intake: current and future practices.
        J Ren Nutr. 2005; 15: 281-290
        • Ngo J.
        • Engelen A.
        • Molag M.
        • Roesle J.
        • García-Segovia P.
        • Serra-Majem L.
        A review of the use of information and communication technologies for dietary assessment.
        Br J Nutr. 2009; 101: S102-S112
        • Hutchesson M.J.
        • Truby H.
        • Callister R.
        • Morgan P.J.
        • Davies P.S.
        • Collins C.E.
        Can a web-based food record accurately assess energy intake in overweight and obese women? A pilot study.
        J Hum Nutr Diet. 2013; 26: 140-144
        • Carter M.C.
        • Burley V.J.
        • Nykjaer C.
        • Cade J.E.
        'My Meal Mate' (MMM): Validation of the diet measures captured on a smartphone application to facilitate weight loss.
        Br J Nutr. 2013; 109: 539-546
        • Burke L.E.
        • Styn M.A.
        • Sereika S.M.
        • et al.
        Using mHealth technology to enhance self-monitoring for weight loss: A randomized trial.
        Am J Prev Med. 2012; 43: 20-26
      1. The Nielson Company. Mobile majority: U.S. smartphone ownership tops 60%. 2013. http://www.nielsen.com/us/en/newswire/2013/mobile-majority–u-s–smartphone-ownership-tops-60-.html. Accessed February 12, 2014.

        • Neve M.J.
        • Morgan P.J.
        • Collins C.E.
        Participant characteristics and reach of a commercial web-based weight loss program.
        Nutr Diet. 2010; 67: 267-274
        • Collins C.E.
        • Morgan P.J.
        • Jones P.
        • et al.
        Evaluation of a commercial web-based weight loss and weight loss maintenance program in overweight and obese adults: A randomized controlled trial.
        BMC Public Health. 2010; 10: 669
        • SP Health Co Pty Ltd
        The Biggest Loser Club Calorie Counter.
        SP Health Co, Sydney, Australia2009
        • Compher C.
        • Frankenfield D.
        • Keim N.
        • Roth-Yousey L.
        Evidence Analysis Working Group. Best practice methods to apply to measurement of resting metabolic rate in adults: A systematic review.
        J Am Diet Assoc. 2006; 106: 881-903
        • Troiano R.P.
        • Berrigan D.
        • Dodd K.W.
        • Mâsse L.C.
        • Tilert T.
        • McDowell M.
        Physical activity in the United States measured by accelerometer.
        Med Sci Sports Exerc. 2008; 40: 181-188
        • Freedson P.S.
        • Melanson E.
        • Sirard J.
        Calibration of the Computer Science and Applications, Inc. accelerometer.
        Med Sci Sports Exerc. 1998; 30: 777-781
        • Lieffers J.R.
        • Hanning R.M.
        Dietary assessment and self-monitoring with nutrition applications for mobile devices.
        Can J Diet Pract Res. 2012; 73: e253-e260
        • Carter M.C.
        • Burley V.J.
        • Nykjaer C.
        • Cade J.E.
        Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial.
        J Med Internet Res. 2013; 15: e32

      Biography

      M. J. Hutchesson is a lecturer and postdoctoral research fellow, Priority Research Centre in Physical Activity and Nutrition and School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

      Biography

      M. E. Rollo is a lecturer and postdoctoral research fellow, Priority Research Centre in Physical Activity and Nutrition and School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

      Biography

      R. Callister is a professor of human physiology, Priority Research Centre in Physical Activity and Nutrition and School of Biomedical Sciences and Pharmance, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

      Biography

      C. E. Collins is a professor of nutrition and dietetics, Priority Research Centre in Physical Activity and Nutrition and School of Health Sciences, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.