Literature DB >> 25527670

Implausible results from the use of invalid methods.

Dale Schoeller1, Edward Archer1, John A Dawson1, Steven Heymsfield1.   

Abstract

Mesh：

Year:  2015        PMID： 25527670      PMCID： PMC6619679          DOI： 10.3945/jn.114.199521

Source DB:  PubMed          Journal:  J Nutr        ISSN： 0022-3166            Impact factor:   4.798


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  9 in total

Review 1.  Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake.

Authors:  J Trabulsi; D A Schoeller
Journal:  Am J Physiol Endocrinol Metab       Date:  2001-11       Impact factor: 4.310

Review 2.  Markers of the validity of reported energy intake.

Authors:  M Barbara E Livingstone; Alison E Black
Journal:  J Nutr       Date:  2003-03       Impact factor: 4.798

3.  Effect of screening out implausible energy intake reports on relationships between diet and BMI.

Authors:  Terry T-K Huang; Susan B Roberts; Nancy C Howarth; Megan A McCrory
Journal:  Obes Res       Date:  2005-07

Review 4.  Limitations in the assessment of dietary energy intake by self-report.

Authors:  D A Schoeller
Journal:  Metabolism       Date:  1995-02       Impact factor: 8.694

5.  Separating fact from artifact in changes in nutrient intake over time.

Authors:  P M Guenther; B P Perloff; T L Vizioli
Journal:  J Am Diet Assoc       Date:  1994-03

6.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

7.  Shifts in the recent distribution of energy intake among U.S. children aged 2-18 years reflect potential abatement of earlier declining trends.

Authors:  Michelle A Mendez; Daniela Sotres-Alvarez; Donna R Miles; Meghan M Slining; Barry M Popkin
Journal:  J Nutr       Date:  2014-06-11       Impact factor: 4.798

8.  Dynamics of childhood growth and obesity: development and validation of a quantitative mathematical model.

Authors:  Kevin D Hall; Nancy F Butte; Boyd A Swinburn; Carson C Chow
Journal:  Lancet Diabetes Endocrinol       Date:  2013-10       Impact factor: 32.069

9.  Validity of U.S. nutritional surveillance:National Health and Nutrition Examination Survey caloric energy intake data, 1971-2010.

Authors:  Edward Archer; Gregory A Hand; Steven N Blair
Journal:  PLoS One       Date:  2013-10-09       Impact factor: 3.240
  9 in total
  3 in total

Review 1.  Common scientific and statistical errors in obesity research.

Authors:  Brandon J George; T Mark Beasley; Andrew W Brown; John Dawson; Rositsa Dimova; Jasmin Divers; TaShauna U Goldsby; Moonseong Heo; Kathryn A Kaiser; Scott W Keith; Mimi Y Kim; Peng Li; Tapan Mehta; J Michael Oakes; Asheley Skinner; Elizabeth Stuart; David B Allison
Journal:  Obesity (Silver Spring)       Date:  2016-04       Impact factor: 5.002

2.  Goals in Nutrition Science 2015-2020.

Authors:  David B Allison; Josep Bassaganya-Riera; Barbara Burlingame; Andrew W Brown; Johannes le Coutre; Suzanne L Dickson; Willem van Eden; Johan Garssen; Raquel Hontecillas; Chor San H Khoo; Dietrich Knorr; Martin Kussmann; Pierre J Magistretti; Tapan Mehta; Adrian Meule; Michael Rychlik; Claus Vögele
Journal:  Front Nutr       Date:  2015-09-08

3.  Empirically Derived Dietary Patterns in UK Adults Are Associated with Sociodemographic Characteristics, Lifestyle, and Diet Quality.

Authors:  Katharine Roberts; Janet Cade; Jeremy Dawson; Michelle Holdsworth
Journal:  Nutrients       Date:  2018-02-06       Impact factor: 5.717
  3 in total

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