Dietary under-reporting: What foods and which meals are typically under-reported?

European Journal of Clinical Nutrition

Volumn 70, Issue 5, 2016, Pages 640-641

  Gemming, L ^a   Ni Mhurchu, C ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

ATTENTION; CLINICAL ARTICLE; CONDIMENT; DIET; FAST FOOD; HUMAN; MEAL; NUTRITIONAL ASSESSMENT; PUBLICATION; SOCIAL ENVIRONMENT; ADULT; FEEDING BEHAVIOR; FEMALE; MALE; MEASUREMENT ACCURACY; NORMAL HUMAN; PSYCHOLOGY; RECALL; RETROSPECTIVE STUDY; SELF REPORT; STATISTICAL BIAS; STATISTICS AND NUMERICAL DATA;

ADULT; BIAS; DATA ACCURACY; DIET; FEEDING BEHAVIOR; FEMALE; HEALTHY VOLUNTEERS; HUMANS; MALE; MEALS; MENTAL RECALL; NUTRITION ASSESSMENT; RETROSPECTIVE STUDIES; SELF REPORT; SNACKS;

EID: 84949843649     PISSN: 09543007     EISSN: 14765640     Source Type: Journal    
DOI: 10.1038/ejcn.2015.204     Document Type: Article

References (10)

1. Poslusna K, Ruprich J, De Vries JHM, Jakubikova M, Van't Veer P. Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr 2009; 101: S73-S85.
2. Gemming L, Rush E, Maddison R, Doherty A, Gant N, Utter J et al. Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24-hr recall. Br J Nutr 2015; 113: 284-291.
3. O'Loughlin G, Cullen SJ, McGoldrick A, O'Connor S, Blain R, O'Malley S et al. Using a wearable camera to increase the accuracy of dietary analysis. Am J Prev Med 2013; 44: 297-301.
4. Gemming L, Doherty A, Kelly P, Utter J, Ni Mhurchu C. Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake. Eur J Clin Nutr 2013; 67: 1095-1099.
5. Subar AF, Kirkpatrick SI, Mittl B, Zimmerman TP, Thompson FE, Bingley C et al. The automated self-administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the national cancer institute. J Acad Nutr Diet 2012; 112: 1134-1137.
6. Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV et al. The US department of agriculture automated multiple-pass method reduces bias in the collection of energy intakes. Am J Clin Nutr 2008; 88: 324-332.
7. Gemming L, Doherty A, Utter J, Shields E, Mhurchu CN. The use of a wearable camera to capture and categorise the environmental and social context of self-identified eating episodes. Appetite 2015; 92: 118-125.
8. Gemming L, Utter J, Mhurchu CN. Image-assisted dietary assessment: a systematic review of the evidence. J Acad Nutr Diet 2015; 115: 64-77.
9. Bai Y, Li C, Yue Y, Jia W, Li J, Mao Z-H et al. (eds). Designing a Wearable Computer for Lifestyle Evaluation. Bioengineering Conference (NEBEC), 2012 38th Annual Northeast; 2012 March 16-18: IEEE.
10. Sun M, Fernstrom JD, Jia W, Hackworth SA, Yao N, Li Y et al. A wearable electronic system for objective dietary assessment. J Am Diet Assoc 2010; 110: 45-47.