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DQPN SCIENCE

 

An Innovation in Dietary Intake Assessment

All methods of dietary intake assessment, both those in use and those under development, proceed food by food, meal by meal, and/or day by day to assemble a representation of habitual diet. That representation must then be analyzed at the n-of-1 level. We are introducing a disruptive innovation, diet quality photo navigation (DQPN™), which reverse engineers this process entirely, beginning with fully assembled dietary prototypes represented in photographic images. Each prototype depicts an objectively measured - by use of the HEI-2010 and the AHEI (1) quality tier of a given diet type, displayed in a standardized quantity. All entries are fully pre-analyzed for all nutrients of interest in proportion to calories; a simple, automated calculation of approximate energy requirements (2) allows for personalized nutrient intake estimates. DQPN replaces reliance on recollection and recall and their intrinsic limitations with image recognition, a native and universal human aptitude.  

The method constrains potential error (3) by precluding implausible values.  Post hoc analysis of individual intake is replaced with infinite scalability. DQPN replaces minutes, hours, and days of data inputs with the establishment of dietary intake pattern (Diet ID™) in mere seconds. Additional functionality adapts the method to identification of a dietary goal (Diet IDEAL™), and coaching along the specifically mapped route between current and goal diets, with implications for both human health coaching and apps/technology-based approaches to health promotion, disease management, weight management, and even the environmental impact of diet. Face validity is established by building the tool under the constant scrutiny, and to the specifications, of a multidisciplinary panel of independent content experts. Concurrent validation against prevailing instruments, and criterion validation against biomarkers is under way.

DQPN™ introduces a potentially disruptive innovation in dietary intake assessment with an array of ostensible advantages over currently prevailing methods.

 
1) Wang DD, Leung CW, Li Y, Ding EL, Chiuve SE, Hu FB, Willett WC. Trends in dietary quality among adults in the United States, 1999 through 2010. JAMA Intern Med. 2014 Oct;174(10):1587-95; Guenther PM, Casavale KO, Reedy J, Kirkpatrick SI, Hiza HA, Kuczynski KJ, Kahle LL, Krebs-Smith SM. Update of the Healthy Eating Index: HEI-2010. J Acad Nutr Diet. 2013 Apr;113(4):569-80
2) Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990 Feb;51(2):241-7.
3) Archer E, Pavela G, Lavie CJ. The Inadmissibility of What We Eat in America and NHANES Dietary Data in Nutrition and Obesity Research and the Scientific Formulation of National Dietary Guidelines. Mayo Clin Proc. 2015 Jul;90(7):911-26; Archer E, Blair SN. Implausible data, false memories, and the status quo in dietary assessment. Adv Nutr. 2015 Mar 13;6(2):229-30