Literature DB >> 1810720

Critical evaluation of energy intake data using fundamental principles of energy physiology: 2. Evaluating the results of published surveys.

A E Black1, G R Goldberg, S A Jebb, M B Livingstone, T J Cole, A M Prentice.   

Abstract

The fundamental principles of energy physiology were used to evaluate the validity of reported energy intake (EI) in 37 published dietary studies of adults providing 68 subgroups when classified according to sex and dietary method. EI was expressed as a multiple of BMR estimated using the reported heights and weights of the study populations (EI:BMR(est)). This ratio was compared with a study-specific cut-off value representing the lowest value for EI:BMR(est) that could, within defined bounds of statistical probability, reflect the habitual energy expenditure of a sedentary life-style. Mean EI:BMR(est) was 1.43 (0.19) compared with an expected requirement of 1.55. In 46 out of the 68 groups (68%), EI:BMR(est) was below the study-specific cut-off value. EI:BMR(est) was 1.37 (SD = 0.13) for women and 1.50 (SD = 0.16) for men (P less than 0.001). This could reflect either better reporting by men or a more active life-style. When categorized according to dietary assessment method, 64%, 88% and 25% of results fell below the acceptable cut-off value for studies by diet records, diet recall and diet history, respectively. These data indicate that dietary assessment methods have a strong bias towards underestimation of habitual energy intake.

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Year:  1991        PMID: 1810720

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  83 in total

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Authors:  B Mangweth; J I Hudson; H G Pope; S Oberleit; C De Col; J Kinzl; W Biebl
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Review 3.  Nutritional practices of male and female endurance cyclists.

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Review 4.  Guidelines for daily carbohydrate intake: do athletes achieve them?

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Review 5.  The control of food intake of free-living humans: putting the pieces back together.

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Review 7.  Experimental research on the relation between food price changes and food-purchasing patterns: a targeted review.

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8.  A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing.

Authors:  Edward S Sazonov; Juan M Fontana
Journal:  IEEE Sens J       Date:  2012       Impact factor: 3.301

9.  Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Authors:  Amy F Subar; Laurence S Freedman; Janet A Tooze; Sharon I Kirkpatrick; Carol Boushey; Marian L Neuhouser; Frances E Thompson; Nancy Potischman; Patricia M Guenther; Valerie Tarasuk; Jill Reedy; Susan M Krebs-Smith
Journal:  J Nutr       Date:  2015-10-14       Impact factor: 4.798

10.  Parental smoking and the nutrient intake and food choice of British teenagers aged 16-17 years.

Authors:  H F Crawley; D While
Journal:  J Epidemiol Community Health       Date:  1996-06       Impact factor: 3.710

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