Tags

Type your tag names separated by a space and hit enter

Comparison of a short food frequency questionnaire with the Youth/Adolescent Questionnaire in the Growing Up Today Study.
Int J Pediatr Obes. 2007; 2(1):31-9.IJ

Abstract

INTRODUCTION

Our purpose was to design and evaluate a shorter version of our 126-item food frequency questionnaire (long FFQ) for use with adolescents. A shorter FFQ is needed that can reliably rank research subjects according to their intakes of energy, macronutrients and selected micronutrients.

METHODS

Dietary data were collected annually, for 3 years, using the full-list FFQ from 16 882 participants of the Growing Up Today Study (GUTS). From this full-list FFQ data, the top ten food contributors for energy and each macronutrient, and the top five food contributors for eight other selected micronutrients were compiled to create a 26-item (short-list) FFQ. Arithmetic means and Pearson correlations were computed to assess relationships between nutrient intakes estimated from the short- and full-list FFQs. We further compared both FFQs with three 24-hour recalls (approximately every 4 months over a 1-year period). Linear regression models were fitted, using energy and nutrients estimated from the short-list FFQ and separately from the full-list FFQ, to see how results may differ.

RESULTS

As expected, mean nutrient values from the short-list FFQ were substantially below those from the full-list FFQ. Pearson correlations >0.85 between the short- and full-list FFQs were found for most nutrients. However, correlations between nutrients from the short-list FFQ and the three 24-hour recalls were lower (mean correlation =0.40) than the full-list FFQ. Linear regression models suggested that the short-list FFQ performed nearly as well as the full-list FFQ, for studying associations between energy and several nutrients (trans fatty acids, saturated fat, and glycemic load) and the non-dietary factor, TV viewing. Model betas for energy and nutrients from the short-list FFQ were slightly smaller than betas obtained from the full-list FFQ, but all were statistically significant.

CONCLUSION

The short-list FFQ can assess nutrient values of a population for analytic research purposes, such as studying associations between certain dietary intakes and non-dietary factors.

Authors+Show Affiliations

Channing Laboratory, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. helaine.rockett@channing.harvard.eduNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Evaluation Study
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17763008

Citation

Rockett, Helaine R H., et al. "Comparison of a Short Food Frequency Questionnaire With the Youth/Adolescent Questionnaire in the Growing Up Today Study." International Journal of Pediatric Obesity : IJPO : an Official Journal of the International Association for the Study of Obesity, vol. 2, no. 1, 2007, pp. 31-9.
Rockett HR, Berkey CS, Colditz GA. Comparison of a short food frequency questionnaire with the Youth/Adolescent Questionnaire in the Growing Up Today Study. Int J Pediatr Obes. 2007;2(1):31-9.
Rockett, H. R., Berkey, C. S., & Colditz, G. A. (2007). Comparison of a short food frequency questionnaire with the Youth/Adolescent Questionnaire in the Growing Up Today Study. International Journal of Pediatric Obesity : IJPO : an Official Journal of the International Association for the Study of Obesity, 2(1), 31-9.
Rockett HR, Berkey CS, Colditz GA. Comparison of a Short Food Frequency Questionnaire With the Youth/Adolescent Questionnaire in the Growing Up Today Study. Int J Pediatr Obes. 2007;2(1):31-9. PubMed PMID: 17763008.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparison of a short food frequency questionnaire with the Youth/Adolescent Questionnaire in the Growing Up Today Study. AU - Rockett,Helaine R H, AU - Berkey,Catherine S, AU - Colditz,Graham A, PY - 2007/9/1/pubmed PY - 2007/9/19/medline PY - 2007/9/1/entrez SP - 31 EP - 9 JF - International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity JO - Int J Pediatr Obes VL - 2 IS - 1 N2 - INTRODUCTION: Our purpose was to design and evaluate a shorter version of our 126-item food frequency questionnaire (long FFQ) for use with adolescents. A shorter FFQ is needed that can reliably rank research subjects according to their intakes of energy, macronutrients and selected micronutrients. METHODS: Dietary data were collected annually, for 3 years, using the full-list FFQ from 16 882 participants of the Growing Up Today Study (GUTS). From this full-list FFQ data, the top ten food contributors for energy and each macronutrient, and the top five food contributors for eight other selected micronutrients were compiled to create a 26-item (short-list) FFQ. Arithmetic means and Pearson correlations were computed to assess relationships between nutrient intakes estimated from the short- and full-list FFQs. We further compared both FFQs with three 24-hour recalls (approximately every 4 months over a 1-year period). Linear regression models were fitted, using energy and nutrients estimated from the short-list FFQ and separately from the full-list FFQ, to see how results may differ. RESULTS: As expected, mean nutrient values from the short-list FFQ were substantially below those from the full-list FFQ. Pearson correlations >0.85 between the short- and full-list FFQs were found for most nutrients. However, correlations between nutrients from the short-list FFQ and the three 24-hour recalls were lower (mean correlation =0.40) than the full-list FFQ. Linear regression models suggested that the short-list FFQ performed nearly as well as the full-list FFQ, for studying associations between energy and several nutrients (trans fatty acids, saturated fat, and glycemic load) and the non-dietary factor, TV viewing. Model betas for energy and nutrients from the short-list FFQ were slightly smaller than betas obtained from the full-list FFQ, but all were statistically significant. CONCLUSION: The short-list FFQ can assess nutrient values of a population for analytic research purposes, such as studying associations between certain dietary intakes and non-dietary factors. SN - 1747-7166 UR - https://www.unboundmedicine.com/medline/citation/17763008/Comparison_of_a_short_food_frequency_questionnaire_with_the_Youth/Adolescent_Questionnaire_in_the_Growing_Up_Today_Study_ L2 - https://doi.org/10.1080/17477160601095417 DB - PRIME DP - Unbound Medicine ER -