Literature DB >> 1952811

Limitations of the various methods for collecting dietary intake data.

S A Bingham1.   

Abstract

The dietary intake of population groups may be assessed using food consumption level estimates on a national basis and household food surveys. These may be useful for monitoring secular trends and geographical differences with stable and well-documented populations, but analytical studies of diet and health require data on individuals. Assessment techniques designed to assess the diet of individuals ranging from records with weights of food to questionnaires and biological markers have been critically reviewed in order to assess the accuracy of each. Quantitative estimates of the errors involved will be given. For example, the co-efficients of variation of differences incurred from asking subjects to estimate the weight of food portions, rather than weighing them, may regularly be in the 50% range for foods and 20% for nutrients. A variety of studies suggests that the co-efficients of differences in nutrient intake estimated over 1 day from the 24-hour recall method when compared with observed intakes ranged from 4 to 400%. These errors are believed to be random, and precision can be improved by increasing the numbers of observations on each individual or by increasing the numbers of individuals within each group. However, a substantial loss of power is incurred with errors of this magnitude. A more serious potential source of error is systematic bias due either to differences between different methods of dietary assessment or from deliberate over- or underreporting by the subjects themselves. Studies with the doubly labelled water technique have suggested that substantial underrecording of food intake can occur both in free-living individuals and in athletes. 24-hour urine nitrogen can be used to validate dietary assessments in individuals in nitrogen balance, and on-going studies in Cambridge show that within a group, underreporting occurs in specific individuals rather than in the group as a whole. Independent methods of validating dietary assessments, such as the doubly labelled water technique or the 24-hour urine nitrogen output, must be included in any study of free-living individuals.

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Year:  1991        PMID: 1952811     DOI: 10.1159/000177635

Source DB:  PubMed          Journal:  Ann Nutr Metab        ISSN: 0250-6807            Impact factor:   3.374


  53 in total

1.  Can dietary assessment in general practice target patients with unhealthy diets?

Authors:  P Little; J Barnett; A L Kinmonth; B Margetts; J Gabbay; R Thompson; D Warm; S Wooton
Journal:  Br J Gen Pract       Date:  2000-01       Impact factor: 5.386

Review 2.  PASSCLAIM: consensus on criteria.

Authors:  Peter J Aggett; Jean-Michel Antoine; Nils-Georg Asp; France Bellisle; Laura Contor; John H Cummings; John Howlett; Detlef J G Müller; Christoph Persin; Loek T J Pijls; Gerhard Rechkemmer; Sandra Tuijtelaars; Hans Verhagen
Journal:  Eur J Nutr       Date:  2005-06       Impact factor: 5.614

3.  Reproducibility of ad libitum energy intake with the use of a computerized vending machine system.

Authors:  Colleen A Venti; Susanne B Votruba; Paul W Franks; Jonathan Krakoff; Arline D Salbe
Journal:  Am J Clin Nutr       Date:  2009-11-18       Impact factor: 7.045

4.  Lack of effect of lactose digestion status on baseline fecal micoflora.

Authors:  Andrew Szilagyi; Ian Shrier; George Chong; Jung Sung Je; Sunghoon Park; Debra Heilpern; Catherine Lalonde; Louis-Francois Cote; Byong Lee
Journal:  Can J Gastroenterol       Date:  2009-11       Impact factor: 3.522

5.  Influence of dietary protein supplements on the formation of bacterial metabolites in the colon.

Authors:  B Geypens; D Claus; P Evenepoel; M Hiele; B Maes; M Peeters; P Rutgeerts; Y Ghoos
Journal:  Gut       Date:  1997-07       Impact factor: 23.059

6.  The Northwest Lipid Research Clinic Fat Intake Scale: validation and utility.

Authors:  B M Retzlaff; A A Dowdy; C E Walden; V E Bovbjerg; R H Knopp
Journal:  Am J Public Health       Date:  1997-02       Impact factor: 9.308

7.  Dietary Factors and Cognitive Decline.

Authors:  P J Smith; J A Blumenthal
Journal:  J Prev Alzheimers Dis       Date:  2016-03

8.  The validity of dietary assessment in general practice.

Authors:  P Little; J Barnett; B Margetts; A L Kinmonth; J Gabbay; R Thompson; D Warm; H Warwick; S Wooton
Journal:  J Epidemiol Community Health       Date:  1999-03       Impact factor: 3.710

9.  A lipid-related metabolomic pattern of diet quality.

Authors:  Minoo Bagheri; Walter Willett; Mary K Townsend; Peter Kraft; Kerry L Ivey; Eric B Rimm; Kathryn Marie Wilson; Karen H Costenbader; Elizabeth W Karlson; Elizabeth M Poole; Oana A Zeleznik; A Heather Eliassen
Journal:  Am J Clin Nutr       Date:  2020-12-10       Impact factor: 7.045

10.  The StrongWomen-Healthy Hearts program: reducing cardiovascular disease risk factors in rural sedentary, overweight, and obese midlife and older women.

Authors:  Sara C Folta; Alice H Lichtenstein; Rebecca A Seguin; Jeanne P Goldberg; Julia F Kuder; Miriam E Nelson
Journal:  Am J Public Health       Date:  2009-05-14       Impact factor: 9.308

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