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NHANES Dietary Web Tutorial

Key References

These references are used throughout the tutorial. Links to abstracts on PubMed or the full text of the publications have been created when available.

 

History of Dietary Data Collection

Briefel RR. Assessment of the US diet in national nutrition surveys: national collaborative efforts and NHANES. Am J Clin Nutr 1994;59(1 Suppl):164S-167S.

Kohlmeier L. Dietary methodology considerations for NHANES III. Vital Health Stat 4 1992;(27):81-84.

Liu K. Statistical issues related to the design of dietary survey methodology for NHANES III. Vital Health Stat 4 1992(27):3-14; discussion 15-23.

McDowell MA, Briefel RR. The Dietary Data Collection System: automated interview and coding system for NHANES III.  Proceedings-Fourteenth National Nutrient Databank  Conference. 1989. Iowa City, IA.

McDowell MA.  The NHANES III Supplemental Nutrition Survey of Older Americans. Am J Clin Nutr 1994;59(1 Suppl):224S-226S.

Sempos CT, Briefel RR, Johnson C, Woteki CE. Process and rationale for selecting dietary methods for NHANES III. Vital Health Stat 4 1992;(27):85-90.

Tippett KS, Enns CW, Moshfegh AJ. Food consumption surveys in the U.S. Department of Agriculture.  Nutr Today 1999;34;33-46

  • Abstract

Woteki CE, Briefel R, Hitchcock D, Ezzati T, Maurer K. Selection of nutrition status indicators for field surveys: the NHANES III design. J Nutr 1990;120 Suppl 11:1440-1445.

 

NHANES Dietary Data Collection

24-Hour Recall Data

Blanton CA, Moshfegh AJ, Baer DJ, Kretsch MJ.  The USDA Automated Multiple-Pass Method accurately estimates group total energy and nutrient intakes.  J Nutr 2006;136(10):2594-2599.

Conway JM, Ingwersen LA, Moshfegh AJ.  Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc 2004;104(4):595-603.

Dwyer J, Picciano MF, Raiten DJ, Members of the Steering Committee: National Health and Nutrition Examination Survey. Collection of food and dietary supplement intake data: What We Eat in America—NHANES. J Nutr 2003;133(2):590S-600S.

Raper N, Perloff B, Ingwersen L, Steinfeldt L, Anand J. An overview of USDA’s Dietary Intake Data System. J Food Compos Anal 2004;17(3-4):545-555. 

  • Abstract

 

Food Frequency Data

Subar AF, Dodd KW, Guenther PM, Kipnis V, Midthune D, McDowell M, Tooze JA, Freedman LS, Krebs-Smith SM.  The food propensity questionnaire: concept, development, and validation for use as a covariate in a model to estimate usual food intake. J Am Diet Assoc 2006;106(10):1556-1563. 

Briefel RR, Flegal KM, Winn DM, Loria CM, Johnson CL, Sempos CT.  Assessing the nation's diet: limitations of the food frequency questionnaire.  J Am Diet Assoc. 1992 Aug;92(8):959-62.

 

Dietary Supplement Data

Dwyer J, Picciano MF, Raiten DJ, Members of the Steering Committee: National Health and Nutrition Examination Survey. Collection of food and dietary supplement intake data: What We Eat in America—NHANES. J Nutr 2003;133(2):590S-600S.

Radimer KL. Methodological issues in assessing dietary supplement use in children. J Am Diet Assoc 2005;105(5):703-708.

Radimer KL. National nutrition data: contributions and challenges to monitoring dietary supplement use in women. J Nutr 2003;133(6):2003S-2007S.

 

Uses of the Dietary Data

Moshfegh AJ.  The National Nutrition Monitoring and Related Research Program: progress and activities. J Nutr 1994;124(9 Suppl):1843S-1845S.

Murphy SP.  Collection and analysis of intake data from the integrated survey.  J Nutr 2003;133(2):585S-589S.

Radimer K, Bindewald B, Hughes J, Ervin B, Swanson C, Picciano MF.  Dietary supplement use by US adults: data from the National Health and Nutrition Examination Survey, 1999-2000. Am J Epidemiol 2004;160(4):339-349.

Rock CL.  Multivitamin-multimineral supplements: who uses them? Am J Clin Nutr 2007;85(1):277S-279S.

Woteki C. Integrated NHANES: uses in national policy. J Nut 2003;133(2):582S-584S.

Woteki CE, Briefel RR, Klein CJ, Jacques PF, Kris-Etherton PM, Mares-Perlman JA, Meyers LD. Nutrition monitoring: summary of a statement from an American Society for Nutritional Sciences working group. J Nutr 2002;132(12):3782-3783.

 

Food and Nutrient Database for Dietary Studies (FNDDS)

Dwyer J, Picciano MF, Raiten DJ, Members of the Steering Committee: National Health and Nutrition Examination Survey. Collection of food and dietary supplement intake data: What We Eat in America—NHANES. J Nutr 2003;133(2):590S-600S.

Loria CM, McDowell MA, Johnson CL, Woteki CE. Nutrient data for Mexican-American foods: are current data adequate? J Am Diet Assoc 1991;91(8):919-922.

 

Important Considerations Regarding Dietary Data Analyses

Beaton GH.  Approaches to analysis of dietary data: relationship between planned analyses and choice of methodology.  Am J Clin Nutr 1994:59(suppl 1):253S-261S.

Beaton, GH.  Errors in the interpretation of dietary assessments.  Am J Clin Nutr  1997:65(4 suppl):1100S-1107S.

 

Estimating Population Ratios of Intake

Krebs-Smith, SM, PS Kott, PM Guenther.  Mean proportion and population proportion: two answers to the same question?  J Am Diet Assoc 1989;89(5):671-676.

 

Estimating Population-level Distributions and Prevalence of Intake

Carriquiry AL. Estimation of usual intake distributions of nutrients and foods. J Nutr 2003;133(22):601S-608S.

National Research Council. Nutrient Adequacy: Assessment Using Food Consumption Surveys.  1986. Washington, D.C., National Academy Press.

Nusser SM, Carriquiry AL, Dodd KW, Fuller WA. A semi-parametric transformation approach to estimating usual nutrient intake distributions. Journal of the American Statistical Association 1996; 91:1440-1449.

Dodd KW.  A Technical Guide to C-SIDE: Software for Intake Distribution Estimation.  1996. Technical Report 96-TR 32, Dietary Assessment Research Series Report 9, Department of Statistics and Center for Agricultural and Rural Development.  Iowa State University.

Tooze JA, Midthune D, Dodd KW, Krebs-Smith SM, Subar AF, Carroll RJ, Kipnis V. A New Statistical Method for Estimating the Distribution of Usual Intake of Episodically Consumed Foods, Journal of the American Dietetics Association 2006;106(10):1575-87.

Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith SM. Statistical methods for estimating usual intake of nutrients and foods: a review of the theory. Journal of the American Dietetics Association 2006 Oct;106(10):1575-87.

Freedman LS, Guenther PM, Dodd KW, Krebs-Smith SM, Midthune D. The population distribution of ratios of usual intakes of dietary components that are consumed every day can be estimated from repeated 24-hour recalls. J Nutr. 2010 Jan;140(1):111-6.

Freedman LS, Guenther PM, Krebs-Smith SM, Dodd KW, Midthune D. A population's distribution of Healthy Eating Index-2005 component scores can be estimated when more than one 24-hour recall is available. J Nutr. 2010 Aug;140(8):1529-34.

 

Examining the Relationship Between Dietary Intake and Some Outcome Measure

Tarasuk VS, Brooker A-S.  Interpreting epidemiologic studies of diet-disease relationships. J Nutr 1997;127(9):1847-1852.

Carroll RJ, Ruppert D, Stefanski LA, Crainiceanu CM.  Measurement Error in Nonlinear Models, 2nd ed. Boca Raton: Chapman & Hall, 2006.

Kipnis V, Midthune D, Buckman DW, Dodd KW, Guenther PM, Krebs-Smith SM, Subar AF, Tooze JA, Carroll RJ, Freedman LS.  Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes, Biometrics 2009;65:1003-1010.

Rosner B, Willett WC, Spiegelman D.  Correction of logistic regression relative risk estimates and confidence intervals for systemtic with-person measurement error.  Statisics in Medicine 1989;8:1051-1069.

Kipnis V, Midthune D, Buckman DW, Dodd KW, Guenther PM, Krebs-Smith SM, Subar AF, Tooze JA, Carroll RJ, Freedman LS.  Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes. Biometrics 2009;65:1003-1010.

 

 

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