Literature DB >> 34678079

Toward more rigorous and informative nutritional epidemiology: The rational space between dismissal and defense of the status quo.

Andrew W Brown1, Stella Aslibekyan2,3, Dennis Bier4, Rafael Ferreira da Silva5, Adam Hoover6, David M Klurfeld7, Eric Loken8, Evan Mayo-Wilson9, Nir Menachemi10, Greg Pavela11, Dale Schoeller12, Colby J Vorland1, Leah D Whigham13, David B Allison9.   

Abstract

To date, nutritional epidemiology has relied heavily on relatively weak methods including simple observational designs and substandard measurements. Despite low internal validity and other sources of bias, claims of causality are made commonly in this literature. Nutritional epidemiology investigations can be improved through greater scientific rigor and adherence to scientific reporting commensurate with research methods used. Some commentators advocate jettisoning nutritional epidemiology entirely, perhaps believing improvements are impossible. Still others support only normative refinements. But neither abolition nor minor tweaks are appropriate. Nutritional epidemiology, in its present state, offers utility, yet also needs marked, reformational renovation. Changing the status quo will require ongoing, unflinching scrutiny of research questions, practices, and reporting-and a willingness to admit that "good enough" is no longer good enough. As such, a workshop entitled "Toward more rigorous and informative nutritional epidemiology: the rational space between dismissal and defense of the status quo" was held from July 15 to August 14, 2020. This virtual symposium focused on: (1) Stronger Designs, (2) Stronger Measurement, (3) Stronger Analyses, and (4) Stronger Execution and Reporting. Participants from several leading academic institutions explored existing, evolving, and new better practices, tools, and techniques to collaboratively advance specific recommendations for strengthening nutritional epidemiology.

Entities:  

Keywords:  Nutritional epidemiology reform; experimental design and analysis; scientific rigor

Year:  2021        PMID: 34678079      PMCID: PMC9023609          DOI: 10.1080/10408398.2021.1985427

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.208


  137 in total

1.  Instrumental variable approach to estimating the scalar-on-function regression model with measurement error with application to energy expenditure assessment in childhood obesity.

Authors:  Carmen D Tekwe; Roger S Zoh; Miao Yang; Raymond J Carroll; Gilson Honvoh; David B Allison; Mark Benden; Lan Xue
Journal:  Stat Med       Date:  2019-06-20       Impact factor: 2.373

Review 2.  Twin studies advance the understanding of gene-environment interplay in human nutrigenomics.

Authors:  Tess Pallister; Tim D Spector; Cristina Menni
Journal:  Nutr Res Rev       Date:  2014-12-19       Impact factor: 7.800

3.  Tracking food intake as bites: Effects on cognitive resources, eating enjoyment, and self-control.

Authors:  Danny Weathers; Jennifer Christie Siemens; Steven W Kopp
Journal:  Appetite       Date:  2016-12-15       Impact factor: 3.868

4.  Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related Research.

Authors:  James R Hébert; Edward A Frongillo; Swann A Adams; Gabrielle M Turner-McGrievy; Thomas G Hurley; Donald R Miller; Ira S Ockene
Journal:  Adv Nutr       Date:  2016-05-16       Impact factor: 8.701

5.  GRADE Evidence to Decision (EtD) frameworks: a systematic and transparent approach to making well informed healthcare choices. 2: Clinical practice guidelines.

Authors:  Pablo Alonso-Coello; Andrew D Oxman; Jenny Moberg; Romina Brignardello-Petersen; Elie A Akl; Marina Davoli; Shaun Treweek; Reem A Mustafa; Per O Vandvik; Joerg Meerpohl; Gordon H Guyatt; Holger J Schünemann
Journal:  BMJ       Date:  2016-06-30

6.  Publication bias: the case for an international registry of clinical trials.

Authors:  R J Simes
Journal:  J Clin Oncol       Date:  1986-10       Impact factor: 44.544

Review 7.  Standards for design and measurement would make clinical research reproducible and usable.

Authors:  Kay Dickersin; Evan Mayo-Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-13       Impact factor: 11.205

8.  Does exclusion of extreme reporters of energy intake (the "Goldberg cutoffs") reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes.

Authors:  Keisuke Ejima; Andrew W Brown; Dale A Schoeller; Steven B Heymsfield; Erik J Nelson; David B Allison
Journal:  Am J Clin Nutr       Date:  2019-11-01       Impact factor: 7.045

Review 9.  A "SMART" design for building individualized treatment sequences.

Authors:  H Lei; I Nahum-Shani; K Lynch; D Oslin; S A Murphy
Journal:  Annu Rev Clin Psychol       Date:  2011-12-12       Impact factor: 18.561

Review 10.  Bias in dietary-report instruments and its implications for nutritional epidemiology.

Authors:  Victor Kipnis; Douglas Midthune; Laurence Freedman; Sheila Bingham; Nicholas E Day; Elio Riboli; Pietro Ferrari; Raymond J Carroll
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

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  3 in total

1.  Valuing the Diversity of Research Methods to Advance Nutrition Science.

Authors:  Richard D Mattes; Sylvia B Rowe; Sarah D Ohlhorst; Andrew W Brown; Daniel J Hoffman; DeAnn J Liska; Edith J M Feskens; Jaapna Dhillon; Katherine L Tucker; Leonard H Epstein; Lynnette M Neufeld; Michael Kelley; Naomi K Fukagawa; Roger A Sunde; Steven H Zeisel; Anthony J Basile; Laura E Borth; Emahlea Jackson
Journal:  Adv Nutr       Date:  2022-08-01       Impact factor: 11.567

2.  Is There an Academic Bias against Low-Energy Sweeteners?

Authors:  David J Mela
Journal:  Nutrients       Date:  2022-03-29       Impact factor: 5.717

3.  Differences in Nutritional Intake, Total Body Fat, and BMI Score between Twins.

Authors:  So Young Kim; Dae Myoung Yoo; Mi Jung Kwon; Ji Hee Kim; Joo-Hee Kim; Woo Jin Bang; Hyo Geun Choi
Journal:  Nutrients       Date:  2022-09-04       Impact factor: 6.706

  3 in total

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