Literature DB >> 25593140

Understanding nutritional epidemiology and its role in policy.

Ambika Satija1, Edward Yu2, Walter C Willett3, Frank B Hu4.   

Abstract

Nutritional epidemiology has recently been criticized on several fronts, including the inability to measure diet accurately, and for its reliance on observational studies to address etiologic questions. In addition, several recent meta-analyses with serious methodologic flaws have arrived at erroneous or misleading conclusions, reigniting controversy over formerly settled debates. All of this has raised questions regarding the ability of nutritional epidemiologic studies to inform policy. These criticisms, to a large degree, stem from a misunderstanding of the methodologic issues of the field and the inappropriate use of the drug trial paradigm in nutrition research. The exposure of interest in nutritional epidemiology is human diet, which is a complex system of interacting components that cumulatively affect health. Consequently, nutritional epidemiology constantly faces a unique set of challenges and continually develops specific methodologies to address these. Misunderstanding these issues can lead to the nonconstructive and sometimes naive criticisms we see today. This article aims to clarify common misunderstandings of nutritional epidemiology, address challenges to the field, and discuss the utility of nutritional science in guiding policy by focusing on 5 broad questions commonly asked of the field.
© 2015 American Society for Nutrition.

Entities:  

Keywords:  dietary assessment; food policy; meta-analysis; nutritional epidemiology; prospective cohort studies; randomized controlled trials

Mesh:

Year:  2015        PMID: 25593140      PMCID: PMC4288279          DOI: 10.3945/an.114.007492

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  109 in total

Review 1.  Types of dietary fat and risk of coronary heart disease: a critical review.

Authors:  F B Hu; J E Manson; W C Willett
Journal:  J Am Coll Nutr       Date:  2001-02       Impact factor: 3.169

Review 2.  Whole grain intake and cardiovascular disease: a review.

Authors:  David R Jacobs; Daniel D Gallaher
Journal:  Curr Atheroscler Rep       Date:  2004-11       Impact factor: 5.113

3.  Estimating causal effects from epidemiological data.

Authors:  Miguel A Hernán; James M Robins
Journal:  J Epidemiol Community Health       Date:  2006-07       Impact factor: 3.710

Review 4.  Why have antioxidants failed in clinical trials?

Authors:  Steven R Steinhubl
Journal:  Am J Cardiol       Date:  2008-05-22       Impact factor: 2.778

Review 5.  Accruing evidence on benefits of adherence to the Mediterranean diet on health: an updated systematic review and meta-analysis.

Authors:  Francesco Sofi; Rosanna Abbate; Gian Franco Gensini; Alessandro Casini
Journal:  Am J Clin Nutr       Date:  2010-09-01       Impact factor: 7.045

6.  Sugar sweetened beverages consumption and risk of coronary heart disease: a meta-analysis of prospective studies.

Authors:  Chen Huang; Jianfeng Huang; Yu Tian; Xueli Yang; Dongfeng Gu
Journal:  Atherosclerosis       Date:  2014-02-15       Impact factor: 5.162

7.  Dietary fat intake and the risk of coronary heart disease in women.

Authors:  F B Hu; M J Stampfer; J E Manson; E Rimm; G A Colditz; B A Rosner; C H Hennekens; W C Willett
Journal:  N Engl J Med       Date:  1997-11-20       Impact factor: 91.245

8.  Urinary flavonoid excretion and risk of acute coronary syndrome in a nested case-control study.

Authors:  Lea Bredsdorff; Tina Obel; Claus Dethlefsen; Anne Tjønneland; Erik B Schmidt; Salka E Rasmussen; Kim Overvad
Journal:  Am J Clin Nutr       Date:  2013-05-22       Impact factor: 7.045

9.  Social desirability bias in dietary self-report may compromise the validity of dietary intake measures.

Authors:  J R Hebert; L Clemow; L Pbert; I S Ockene; J K Ockene
Journal:  Int J Epidemiol       Date:  1995-04       Impact factor: 7.196

Review 10.  Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.

Authors:  Katherine M Flegal; Brian K Kit; Heather Orpana; Barry I Graubard
Journal:  JAMA       Date:  2013-01-02       Impact factor: 56.272

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  119 in total

1.  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

2.  Objective measures are complementary to, rather than a replacement for, self-reported methods.

Authors:  A Satija; E Yu; W C Willett; F B Hu
Journal:  Int J Obes (Lond)       Date:  2015-04-30       Impact factor: 5.095

3.  Long-term dietary adherence and changes in dietary intake in coronary patients after intervention with a Mediterranean diet or a low-fat diet: the CORDIOPREV randomized trial.

Authors:  Gracia Maria Quintana-Navarro; Juan Francisco Alcala-Diaz; Jose Lopez-Miranda; Javier Delgado-Lista; Javier Lopez-Moreno; Isabel Perez-Corral; Ana Leon-Acuña; Jose David Torres-Peña; Oriol Alberto Rangel-Zuñiga; Antonio Pablo Arenas de Larriva; Andreea Corina; Antonio Camargo; Elena Maria Yubero-Serrano; Fernando Rodriguez-Cantalejo; Antonio Garcia-Rios; Raul Miguel Luque; Jose Maria Ordovas; Pablo Perez-Martinez
Journal:  Eur J Nutr       Date:  2019-07-24       Impact factor: 5.614

4.  Nutritional epidemiology: forest, trees and leaves.

Authors:  Edward Giovannucci
Journal:  Eur J Epidemiol       Date:  2019-02-06       Impact factor: 8.082

5.  Dietary quality and household food insecurity among Mexican children and adolescents.

Authors:  Luis A Rodríguez; Verónica Mundo-Rosas; Ignacio Méndez-Gómez-Humarán; Rafael Pérez-Escamilla; Teresa Shamah-Levy
Journal:  Matern Child Nutr       Date:  2016-11-14       Impact factor: 3.092

6.  Meta-analysis of red meat intake and cardiovascular risk factors: methodologic limitations.

Authors:  Ambika Satija; Vasanti S Malik; Walter C Willett; Frank B Hu
Journal:  Am J Clin Nutr       Date:  2017-06       Impact factor: 7.045

7.  Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research.

Authors:  Lukas Schwingshackl; Sven Knüppel; Carolina Schwedhelm; Georg Hoffmann; Benjamin Missbach; Marta Stelmach-Mardas; Stefan Dietrich; Fabian Eichelmann; Evangelos Kontopantelis; Khalid Iqbal; Krasimira Aleksandrova; Stefan Lorkowski; Michael F Leitzmann; Anja Kroke; Heiner Boeing
Journal:  Adv Nutr       Date:  2016-11-15       Impact factor: 8.701

8.  Perspective: Are Large, Simple Trials the Solution for Nutrition Research?

Authors:  Ambika Satija; Meir J Stampfer; Eric B Rimm; Walter Willett; Frank B Hu
Journal:  Adv Nutr       Date:  2018-07-01       Impact factor: 8.701

Review 9.  Perspective: Food-Based Dietary Guidelines in Europe-Scientific Concepts, Current Status, and Perspectives.

Authors:  Angela Bechthold; Heiner Boeing; Inge Tetens; Lukas Schwingshackl; Ute Nöthlings
Journal:  Adv Nutr       Date:  2018-09-01       Impact factor: 8.701

10.  The Role of Dietary and Lifestyle Factors in Maintaining Cognitive Health.

Authors:  Nathalie E Marchand; Majken K Jensen
Journal:  Am J Lifestyle Med       Date:  2017-04-11
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