Literature DB >> 2773824

Sources of variation in energy intake by men and women as determined from one year's daily dietary records.

P P Basiotis1, R G Thomas, J L Kelsay, W Mertz.   

Abstract

Data from a year-long study conducted by the US Department of Agriculture's Beltsville Human Nutrition Research Center were used to identify sources of variation in daily energy intakes. A specific hypothesis was that an inverse relationship exists between past body weight and future energy intake whereas a direct relationship exists between past energy intake and future weight. Daily energy intakes of 29 male (n = 13) and female (n = 16) adult subjects were related through linear-regression analysis to sex (+ for males), age (-), height (+), weight (- for past and present measurements, + for future measurement), data collection method (- for duplicate plate), day of week (+ for Friday and Saturday), and month (+ for May, July, August, December, and January). These relationships were statistically significant (p less than 0.05). The results confirmed the hypothesis and were in general agreement with previously published studies that used larger samples but fewer days of data.

Entities:  

Mesh:

Year:  1989        PMID: 2773824     DOI: 10.1093/ajcn/50.3.448

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  7 in total

1.  Males and females show differential brain activation to taste when hungry and sated in gustatory and reward areas.

Authors:  Lori Haase; Erin Green; Claire Murphy
Journal:  Appetite       Date:  2011-06-21       Impact factor: 3.868

2.  HIERARCHICAL ARRAY PRIORS FOR ANOVA DECOMPOSITIONS OF CROSS-CLASSIFIED DATA.

Authors:  Alexander Volfovsky; Peter D Hoff
Journal:  Ann Appl Stat       Date:  2014-03-01       Impact factor: 2.083

3.  Does Season of Reported Dietary Intake Influence Diet Quality? Analysis From the Women's Health Initiative.

Authors:  Tracy E Crane; Yasmin Abdel Latif; Betsy C Wertheim; Lindsay N Kohler; David O Garcia; Jinnie J Rhee; Rebecca Seguin; Rasa Kazlauskaite; James M Shikany; Cynthia A Thomson
Journal:  Am J Epidemiol       Date:  2019-07-01       Impact factor: 4.897

4.  Within- and Between-Subject Variation in Dietary Intake of Fermentable Oligo-, Di-, Monosaccharides, and Polyols Among Patients with Irritable Bowel Syndrome.

Authors:  Sanna Nybacka; Stine Störsrud; Therese Liljebo; Boris Le Nevé; Hans Törnblom; Magnus Simrén; Anna Winkvist
Journal:  Curr Dev Nutr       Date:  2018-12-24

5.  Whey protein but not soy protein supplementation alters body weight and composition in free-living overweight and obese adults.

Authors:  David J Baer; Kim S Stote; David R Paul; G Keith Harris; William V Rumpler; Beverly A Clevidence
Journal:  J Nutr       Date:  2011-06-15       Impact factor: 4.798

6.  Handling random errors and biases in methods used for short-term dietary assessment.

Authors:  Sinara L Rossato; Sandra C Fuchs
Journal:  Rev Saude Publica       Date:  2014-10       Impact factor: 2.106

7.  Diet Data Collected Using 48-h Dietary Recall: Within-and Between-Person Variation.

Authors:  Sinara Laurini Rossato; Sandra Costa Fuchs
Journal:  Front Nutr       Date:  2021-07-06
  7 in total

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