Literature DB >> 26773020

Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy.

Namanjeet Ahluwalia1, Johanna Dwyer2, Ana Terry3, Alanna Moshfegh4, Clifford Johnson3.   

Abstract

NHANES is the cornerstone for national nutrition monitoring to inform nutrition and health policy. Nutritional assessment in NHANES is described with a focus on dietary data collection, analysis, and uses in nutrition monitoring. NHANES has been collecting thorough data on diet, nutritional status, and chronic disease in cross-sectional surveys with nationally representative samples since the early 1970s. Continuous data collection began in 1999 with public data release in 2-y cycles on ∼10,000 participants. In 2002, the Continuing Survey of Food Intakes by Individuals and the NHANES dietary component were merged, forming a consolidated dietary data collection known as What We Eat in America; since then, 24-h recalls have been collected on 2 d using the USDA's Automated Multiple-Pass Method. Detailed and targeted food-frequency questionnaires have been collected in some NHANES cycles. Dietary supplement use data have been collected (in detail since 2007) so that total nutrient intakes can be described for the population. The continuous NHANES can adapt its content to address emerging public health needs and reflect federal priorities. Changes in data collection methods are made after expert input and validation/crossover studies. NHANES dietary data are used to describe intake of foods, nutrients, food groups, and dietary patterns by the US population and large sociodemographic groups to plan and evaluate nutrition programs and policies. Usual dietary intake distributions can be estimated after adjusting for day-to-day variation. NHANES remains open and flexible to incorporate improvements while maintaining data quality and providing timely data to track the nation's nutrition and health status. In summary, NHANES collects dietary data in the context of its broad, multipurpose goals; the strengths and limitations of these data are also discussed in this review.
© 2016 American Society for Nutrition.

Entities:  

Keywords:  dietary assessment; epidemiology; nutrition databases; nutrition policy; nutritional surveillance; public policy; usual intake

Mesh:

Year:  2016        PMID: 26773020      PMCID: PMC4717880          DOI: 10.3945/an.115.009258

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


  46 in total

1.  Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Authors:  Raymond J Carroll; Douglas Midthune; Amy F Subar; Marina Shumakovich; Laurence S Freedman; Frances E Thompson; Victor Kipnis
Journal:  Am J Epidemiol       Date:  2012-01-24       Impact factor: 4.897

2.  A population's distribution of Healthy Eating Index-2005 component scores can be estimated when more than one 24-hour recall is available.

Authors:  Laurence S Freedman; Patricia M Guenther; Susan M Krebs-Smith; Kevin W Dodd; Douglas Midthune
Journal:  J Nutr       Date:  2010-06-23       Impact factor: 4.798

Review 3.  Data needs for B-24 and beyond: NHANES data relevant for nutrition surveillance of infants and young children.

Authors:  Namanjeet Ahluwalia; Kirsten Herrick; Ryne Paulose-Ram; Clifford Johnson
Journal:  Am J Clin Nutr       Date:  2014-01-22       Impact factor: 7.045

4.  Understanding nutritional epidemiology and its role in policy.

Authors:  Ambika Satija; Edward Yu; Walter C Willett; Frank B Hu
Journal:  Adv Nutr       Date:  2015-01-15       Impact factor: 8.701

Review 5.  Dietary intake data collection: challenges and limitations.

Authors:  Ann C Grandjean
Journal:  Nutr Rev       Date:  2012-11       Impact factor: 7.110

Review 6.  Considering the value of dietary assessment data in informing nutrition-related health policy.

Authors:  James R Hébert; Thomas G Hurley; Susan E Steck; Donald R Miller; Fred K Tabung; Karen E Peterson; Lawrence H Kushi; Edward A Frongillo
Journal:  Adv Nutr       Date:  2014-07-14       Impact factor: 8.701

7.  Comparison of Interviewer-Administered and Automated Self-Administered 24-Hour Dietary Recalls in 3 Diverse Integrated Health Systems.

Authors:  Frances E Thompson; Sujata Dixit-Joshi; Nancy Potischman; Kevin W Dodd; Sharon I Kirkpatrick; Lawrence H Kushi; Gwen L Alexander; Laura A Coleman; Thea P Zimmerman; Maria E Sundaram; Heather A Clancy; Michelle Groesbeck; Deirdre Douglass; Stephanie M George; TusaRebecca E Schap; Amy F Subar
Journal:  Am J Epidemiol       Date:  2015-05-10       Impact factor: 4.897

8.  The USDA Automated Multiple-Pass Method accurately assesses population sodium intakes.

Authors:  Donna G Rhodes; Theophile Murayi; John C Clemens; David J Baer; Rhonda S Sebastian; Alanna J Moshfegh
Journal:  Am J Clin Nutr       Date:  2013-04-03       Impact factor: 7.045

9.  Evaluation of under- and overreporting of energy intake in the 24-hour diet recalls in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Authors:  P Ferrari; N Slimani; A Ciampi; A Trichopoulou; A Naska; C Lauria; F Veglia; H B Bueno-de-Mesquita; M C Ocké; M Brustad; T Braaten; M José Tormo; P Amiano; I Mattisson; G Johansson; A Welch; G Davey; K Overvad; A Tjønneland; F Clavel-Chapelon; A Thiebaut; J Linseisen; H Boeing; B Hemon; E Riboli
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

10.  Population distribution of the sagittal abdominal diameter (SAD) from a representative sample of US adults: comparison of SAD, waist circumference and body mass index for identifying dysglycemia.

Authors:  Henry S Kahn; Qiuping Gu; Kai McKeever Bullard; David S Freedman; Namanjeet Ahluwalia; Cynthia L Ogden
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

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  171 in total

1.  Trends in Use of High-Dose Vitamin D Supplements Exceeding 1000 or 4000 International Units Daily, 1999-2014.

Authors:  Mary R Rooney; Lisa Harnack; Erin D Michos; Rachel P Ogilvie; Christopher T Sempos; Pamela L Lutsey
Journal:  JAMA       Date:  2017-06-20       Impact factor: 56.272

2.  Total Long-Chain n-3 Fatty Acid Intake and Food Sources in the United States Compared to Recommended Intakes: NHANES 2003-2008.

Authors:  Chesney K Richter; Kate J Bowen; Dariush Mozaffarian; Penny M Kris-Etherton; Ann C Skulas-Ray
Journal:  Lipids       Date:  2017-09-27       Impact factor: 1.880

Review 3.  Challenges and Lessons Learned in Generating and Interpreting NHANES Nutritional Biomarker Data.

Authors:  Christine M Pfeiffer; David A Lacher; Rosemary L Schleicher; Clifford L Johnson; Elizabeth A Yetley
Journal:  Adv Nutr       Date:  2017-03-15       Impact factor: 8.701

4.  From Neighborhood to Genome: Three Decades of Nutrition-Related Research from the Atherosclerosis Risk in Communities Study.

Authors:  Margaret R Savoca; Lyn M Steffen; Alain G Bertoni; Lynne E Wagenknecht
Journal:  J Acad Nutr Diet       Date:  2017-12       Impact factor: 4.910

5.  The association of dietary inflammatory potential with depression and mental well-being among U.S. adults.

Authors:  Rachel S Bergmans; Kristen M Malecki
Journal:  Prev Med       Date:  2017-03-22       Impact factor: 4.018

Review 6.  Federal Monitoring of Dietary Supplement Use in the Resident, Civilian, Noninstitutionalized US Population, National Health and Nutrition Examination Survey.

Authors:  Jaime J Gahche; Regan L Bailey; Nancy Potischman; Abby G Ershow; Kirsten A Herrick; Namanjeet Ahluwalia; Johanna T Dwyer
Journal:  J Nutr       Date:  2018-08-03       Impact factor: 4.798

7.  Differences in Diet Quality and Snack Intakes Among Non-Hispanic White and Mexican American Adolescents from Different Acculturation Groups.

Authors:  Traci A Bekelman; Susan L Johnson; Christopher A Taylor
Journal:  J Racial Ethn Health Disparities       Date:  2020-03-06

8.  Foods Consumed by US Adults From Cafeterias and Vending Machines: NHANES 2005 to 2014.

Authors:  Stephen J Onufrak; Hatidza Zaganjor; Latetia V Moore; Heather C Hamner; Joel E Kimmons; Leah M Maynard; Diane Harris
Journal:  Am J Health Promot       Date:  2019-01-02

Review 9.  EASL Clinical Practice Guidelines on nutrition in chronic liver disease.

Authors: 
Journal:  J Hepatol       Date:  2018-08-23       Impact factor: 25.083

10.  Usual nutrient intakes of US infants and toddlers generally meet or exceed Dietary Reference Intakes: findings from NHANES 2009-2012.

Authors:  Namanjeet Ahluwalia; Kirsten A Herrick; Lauren M Rossen; Donna Rhodes; Brian Kit; Alanna Moshfegh; Kevin W Dodd
Journal:  Am J Clin Nutr       Date:  2016-09-14       Impact factor: 7.045

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