Literature DB >> 12638596

Measuring food intake in studies of obesity.

Lauren Lissner1.   

Abstract

The problem of how to measure habitual food intake in studies of obesity remains an enigma in nutritional research. The existence of obesity-specific underreporting was rather controversial until the advent of the doubly labelled water technique gave credence to previously anecdotal evidence that such a bias does in fact exist. This paper reviews a number of issues relevant to interpreting dietary data in studies involving obesity. Topics covered include: participation biases, normative biases,importance of matching method to study, selective underreporting, and a brief discussion of the potential implications of generalised and selective underreporting in analytical epidemiology. It is concluded that selective underreporting of certain food types by obese individuals would produce consequences in analytical epidemiological studies that are both unpredictable and complex. Since it is becoming increasingly acknowledged that selective reporting error does occur, it is important to emphasise that correction for energy intake is not sufficient to eliminate the biases from this type of error. This is true both for obesity-related selective reporting errors and more universal types of selective underreporting, e.g. foods of low social desirability. Additional research is urgently required to examine the consequences of this type of error.

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Year:  2002        PMID: 12638596     DOI: 10.1079/phn2002388

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  42 in total

1.  The Association Between Diet and Obesity in Specific European Cohorts: DiOGenes and EPIC-PANACEA.

Authors:  Edith J M Feskens; Diewertje Sluik; Huaidong Du
Journal:  Curr Obes Rep       Date:  2014-03

2.  Nutrient intakes and food consumption patterns among Ontario students in grades six, seven, and eight.

Authors:  Rhona M Hanning; Sarah J Woodruff; Irene Lambraki; Linda Jessup; Pete Driezen; Caroline C Murphy
Journal:  Can J Public Health       Date:  2007 Jan-Feb

3.  Different time trends of caloric and fat intake between statin users and nonusers among US adults: gluttony in the time of statins?

Authors:  Takehiro Sugiyama; Yusuke Tsugawa; Chi-Hong Tseng; Yasuki Kobayashi; Martin F Shapiro
Journal:  JAMA Intern Med       Date:  2014-07       Impact factor: 21.873

4.  Two facets of stress and indirect effects on child diet through emotion-driven eating.

Authors:  Eleanor B Tate; Donna Spruijt-Metz; Trevor A Pickering; Mary Ann Pentz
Journal:  Eat Behav       Date:  2015-05-08

5.  Predictors of measurement error in energy intake during pregnancy.

Authors:  Eric Nowicki; Anna-Maria Siega-Riz; Amy Herring; Ka He; Alison Stuebe; Andy Olshan
Journal:  Am J Epidemiol       Date:  2011-01-27       Impact factor: 4.897

6.  Why Bariatric surgery should be given high priority: an argument from law and morality.

Authors:  Karl Persson
Journal:  Health Care Anal       Date:  2014-12

7.  An intervention study targeting energy and nutrient intake in worksite cafeterias.

Authors:  Michael R Lowe; Karyn A Tappe; Meghan L Butryn; Rachel A Annunziato; Maria C Coletta; Christopher N Ochner; Barbara J Rolls
Journal:  Eat Behav       Date:  2010-01-15

Review 8.  Hedonic Changes in Food Choices Following Roux-en-Y Gastric Bypass.

Authors:  Thea Toft Hansen; Tine Anette Jakobsen; Mette Søndergaard Nielsen; Anders Sjödin; Carel W Le Roux; Julie Berg Schmidt
Journal:  Obes Surg       Date:  2016-08       Impact factor: 4.129

9.  The common obesity variant near MC4R gene is associated with higher intakes of total energy and dietary fat, weight change and diabetes risk in women.

Authors:  Lu Qi; Peter Kraft; David J Hunter; Frank B Hu
Journal:  Hum Mol Genet       Date:  2008-08-12       Impact factor: 6.150

Review 10.  Human genetics illuminates the paths to metabolic disease.

Authors:  Stephen O'Rahilly
Journal:  Nature       Date:  2009-11-19       Impact factor: 49.962

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