Literature DB >> 30753685

Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring.

Regan L Bailey1, Kevin W Dodd2, Jaime J Gahche3, Johanna T Dwyer3, Alexandra E Cowan1, Shinyoung Jun1, Heather A Eicher-Miller1, Patricia M Guenther4, Anindya Bhadra5, Paul R Thomas3, Nancy Potischman3, Raymond J Carroll6, Janet A Tooze7.   

Abstract

The use of dietary supplements (DS) is pervasive and can provide substantial amounts of micronutrients to those who use them. Therefore when characterizing dietary intakes, describing the prevalence of inadequacy or excess, or assessing relations between nutrients and health outcomes, it is critical to incorporate DS intakes to improve exposure estimates. Unfortunately, little is known about the best methods to assess DS, and the structure of measurement error in DS reporting. Several characteristics of nutrients from DS are salient to understand when comparing to those in foods. First, DS can be consumed daily or episodically, in bolus form and can deliver discrete and often very high doses of nutrients that are not limited by energy intakes. These characteristics contribute to bimodal distributions and distributions severely skewed to the right. Labels on DS often provide nutrient forms that differ from those found in conventional foods, and underestimate analytically derived values. Finally, the bioavailability of many nutrient-containing DS is not known and it may not be the same as the nutrients in a food matrix. Current methods to estimate usual intakes are not designed specifically to handle DS. Two temporal procedures are described to refer to the order that nutrient intakes are combined relative to usual intake procedures, referred to as a "shrinking" the distribution to remove random error. The "shrink then add" approach is preferable to the "add then shrink" approach when users and nonusers are combined for most research questions. Stratifying by DS before usual intake methods is another defensible option. This review describes how to incorporate nutrient intakes from DS to usual intakes from foods, and describes the available methods and fit-for-purpose of different analytical strategies to address research questions where total usual intakes are of interest at the group level for use in nutrition research and to inform policy decisions. Clinical Trial Registry: NCT03400436. Published by Oxford University Press on behalf of the American Society for Nutrition 2019.

Keywords:  dietary supplement; measurement error; methodology; total nutrient intakes; usual intakes

Mesh:

Year:  2019        PMID: 30753685      PMCID: PMC6374152          DOI: 10.1093/jn/nxy264

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


  90 in total

1.  Structure of dietary measurement error: results of the OPEN biomarker study.

Authors:  Victor Kipnis; Amy F Subar; Douglas Midthune; Laurence S Freedman; Rachel Ballard-Barbash; Richard P Troiano; Sheila Bingham; Dale A Schoeller; Arthur Schatzkin; Raymond J Carroll
Journal:  Am J Epidemiol       Date:  2003-07-01       Impact factor: 4.897

Review 2.  Statistical methods for estimating usual intake of nutrients and foods: a review of the theory.

Authors:  Kevin W Dodd; Patricia M Guenther; Laurence S Freedman; Amy F Subar; Victor Kipnis; Douglas Midthune; Janet A Tooze; Susan M Krebs-Smith
Journal:  J Am Diet Assoc       Date:  2006-10

3.  A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.

Authors:  Janet A Tooze; Victor Kipnis; Dennis W Buckman; Raymond J Carroll; Laurence S Freedman; Patricia M Guenther; Susan M Krebs-Smith; Amy F Subar; Kevin W Dodd
Journal:  Stat Med       Date:  2010-11-30       Impact factor: 2.373

4.  Measurement characteristics of the Women's Health Initiative food frequency questionnaire.

Authors:  R E Patterson; A R Kristal; L F Tinker; R A Carter; M P Bolton; T Agurs-Collins
Journal:  Ann Epidemiol       Date:  1999-04       Impact factor: 3.797

5.  Combining a Food Frequency Questionnaire With 24-Hour Recalls to Increase the Precision of Estimation of Usual Dietary Intakes-Evidence From the Validation Studies Pooling Project.

Authors:  Laurence S Freedman; Douglas Midthune; Lenore Arab; Ross L Prentice; Amy F Subar; Walter Willett; Marian L Neuhouser; Lesley F Tinker; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2018-10-01       Impact factor: 4.897

6.  Use of dietary supplements in the United States, 1988-94.

Authors:  R B Ervin; J D Wright; J Kennedy-Stephenson
Journal:  Vital Health Stat 11       Date:  1999-06

7.  Dietary Supplement Use Was Very High among Older Adults in the United States in 2011-2014.

Authors:  Jaime J Gahche; Regan L Bailey; Nancy Potischman; Johanna T Dwyer
Journal:  J Nutr       Date:  2017-08-30       Impact factor: 4.798

8.  Prevalence and predictors of children's dietary supplement use: the 2007 National Health Interview Survey.

Authors:  Johanna Dwyer; Richard L Nahin; Gail T Rogers; Patricia M Barnes; Paul M Jacques; Christopher T Sempos; Regan Bailey
Journal:  Am J Clin Nutr       Date:  2013-04-10       Impact factor: 7.045

9.  Foods, fortificants, and supplements: Where do Americans get their nutrients?

Authors:  Victor L Fulgoni; Debra R Keast; Regan L Bailey; Johanna Dwyer
Journal:  J Nutr       Date:  2011-08-24       Impact factor: 4.798

10.  Why US children use dietary supplements.

Authors:  Regan L Bailey; Jaime J Gahche; Paul R Thomas; Johanna T Dwyer
Journal:  Pediatr Res       Date:  2013-09-03       Impact factor: 3.756

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  29 in total

1.  Dietary Supplement Use among Adult Cancer Survivors in the United States.

Authors:  Mengxi Du; Hanqi Luo; Jeffrey B Blumberg; Gail Rogers; Fan Chen; Mengyuan Ruan; Zhilei Shan; Emily Biever; Fang Fang Zhang
Journal:  J Nutr       Date:  2020-06-01       Impact factor: 4.798

2.  Influence of cooking skills and nutritional training on dietary choices of incoming chiropractic students.

Authors:  Katrine K Colton; Lia M Nightingale
Journal:  J Chiropr Educ       Date:  2020-10-01

3.  Comparison of 4 Methods to Assess the Prevalence of Use and Estimates of Nutrient Intakes from Dietary Supplements among US Adults.

Authors:  Alexandra E Cowan; Shinyoung Jun; Janet A Tooze; Kevin W Dodd; Jaime J Gahche; Heather A Eicher-Miller; Patricia M Guenther; Johanna T Dwyer; Alanna J Moshfegh; Donna G Rhodes; Anindya Bhadra; Regan L Bailey
Journal:  J Nutr       Date:  2020-04-01       Impact factor: 4.798

4.  Omega-3 fatty acid intake and decreased risk of skin cancer in organ transplant recipients.

Authors:  Kyoko Miura; Mandy Way; Zainab Jiyad; Louise Marquart; Elsemieke I Plasmeijer; Scott Campbell; Nicole Isbel; Jonathan Fawcett; Lisa E Ferguson; Marcia Davis; David C Whiteman; H Peter Soyer; Peter O'Rourke; Adèle C Green
Journal:  Eur J Nutr       Date:  2020-09-09       Impact factor: 5.614

5.  Older adults with obesity have higher risks of some micronutrient inadequacies and lower overall dietary quality compared to peers with a healthy weight, National Health and Nutrition Examination Surveys (NHANES), 2011-2014.

Authors:  Shinyoung Jun; Alexandra E Cowan; Anindya Bhadra; Kevin W Dodd; Johanna T Dwyer; Heather A Eicher-Miller; Jaime J Gahche; Patricia M Guenther; Nancy Potischman; Janet A Tooze; Regan L Bailey
Journal:  Public Health Nutr       Date:  2020-05-29       Impact factor: 4.022

6.  Calcium Intake from Food and Supplemental Sources Decreased in the Canadian Population from 2004 to 2015.

Authors:  Hassan Vatanparast; Naorin Islam; Rashmi Prakash Patil; Mojtaba Shafiee; Susan J Whiting
Journal:  J Nutr       Date:  2020-04-01       Impact factor: 4.798

7.  Public Health Decisions Are Made at the Tails of the Distribution: A Novel Tool to Estimate Usual Intake Distributions from Short-Term Dietary Assessment Methods.

Authors:  Regan L Bailey; Shinyoung Jun
Journal:  J Nutr       Date:  2021-05-11       Impact factor: 4.798

8.  Trends in Nutrient- and Non-Nutrient-Containing Dietary Supplement Use among US Children from 1999 to 2016.

Authors:  Anita A Panjwani; Alexandra E Cowan; Shinyoung Jun; Regan L Bailey
Journal:  J Pediatr       Date:  2020-12-17       Impact factor: 4.406

9.  A Proposed Framework for Identifying Nutrients and Food Components of Public Health Relevance in the Dietary Guidelines for Americans.

Authors:  Regan L Bailey; Jamy D Ard; Teresa A Davis; Tim S Naimi; Barbara O Schneeman; Jaime S Stang; Kathryn G Dewey; Sharon M Donovan; Rachel Novotny; Linda G Snetselaar; Janet de Jesus; Kellie O Casavale; TusaRebecca Pannucci; Eve E Stoody
Journal:  J Nutr       Date:  2021-05-11       Impact factor: 4.798

10.  Introduction to the SIMPLE Macro, a Tool to Increase the Accessibility of 24-Hour Dietary Recall Analysis and Modeling.

Authors:  Hanqi Luo; Kevin W Dodd; Charles D Arnold; Reina Engle-Stone
Journal:  J Nutr       Date:  2021-05-11       Impact factor: 4.798

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