Literature DB >> 8172998

Differences in reported food frequency by season of questionnaire administration: the 1987 National Health Interview Survey.

A F Subar1, C M Frey, L C Harlan, L Kahle.   

Abstract

We assessed seasonal reporting bias in a 59-item food frequency questionnaire (FFQ) administered throughout 1 year using data from the 1987 National Health Interview Survey (N = 20,143 adults). Few meaningful differences were found in the proportion of individuals reporting rarely or never consuming a food by season of questionnaire administration. Seasonal reporting bias is evident in FFQs, however, and appears to be due to reporting most recent consumption. Using gender-specific median servings per week, an analysis using logistic regression showed that the estimated proportion of individuals reporting food intake at greater than the yearly median differed between any two seasons by at least 5% of the population for 22 foods. We compared gender-specific quintiles of selected nutrients/food groups for the whole year and each season; these showed that quintile assignment never varied by more than one adjacent quintile. The most frequent shift in quintile assignment, involving as many as 18.5% of women in the summer, occurred for citrus fruits. The intake biases are small and do not greatly affect population estimates if the FFQ is administered in all seasons, but they may somewhat affect classification of individuals into quantiles for some foods/nutrients.

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Year:  1994        PMID: 8172998     DOI: 10.1097/00001648-199403000-00013

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  14 in total

1.  Components of variation in serum carotenoid concentrations: the Polyp Prevention Trial.

Authors:  M R Forman; C B Borkowf; M M Cantwell; S Steck; A Schatzkin; P S Albert; E Lanza
Journal:  Eur J Clin Nutr       Date:  2008-04-16       Impact factor: 4.016

2.  Seasonal variation in food intake, physical activity, and body weight in a predominantly overweight population.

Authors:  Y Ma; B C Olendzki; W Li; A R Hafner; D Chiriboga; J R Hebert; M Campbell; M Sarnie; I S Ockene
Journal:  Eur J Clin Nutr       Date:  2006-04       Impact factor: 4.016

3.  Using exploratory factor analysis of FFQ data to identify dietary patterns among Yup'ik people.

Authors:  Tove K Ryman; Melissa A Austin; Scarlett Hopkins; Jacques Philip; Diane O'Brien; Kenneth Thummel; Bert B Boyer
Journal:  Public Health Nutr       Date:  2013-01-04       Impact factor: 4.022

Review 4.  Seasonal variations in physical activity and implications for human health.

Authors:  Roy J Shephard; Yukitoshi Aoyagi
Journal:  Eur J Appl Physiol       Date:  2009-07-16       Impact factor: 3.078

5.  Use of a brief food frequency questionnaire for estimating daily number of servings of fruits and vegetables in a minority adolescent population.

Authors:  Jennifer Di Noia; Isobel R Contento
Journal:  J Am Diet Assoc       Date:  2009-10

6.  Seasonal variation in fruit and vegetable consumption in a rural agricultural community.

Authors:  Emily Locke; Gloria D Coronado; Beti Thompson; Alan Kuniyuki
Journal:  J Am Diet Assoc       Date:  2009-01

7.  Comparability and repeatability of methods for estimating the dietary intake of the heterocyclic amine contaminant 2-amino-1-methyl-6-phenylimidazo[4,5b]pyridine (PhIP).

Authors:  Nicole C Deziel; Timothy J Buckley; Rashmi Sinha; Salahaddhin Abubaker; Elizabeth A Platz; Paul T Strickland
Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess       Date:  2012-05-09

8.  Does Season of Reported Dietary Intake Influence Diet Quality? Analysis From the Women's Health Initiative.

Authors:  Tracy E Crane; Yasmin Abdel Latif; Betsy C Wertheim; Lindsay N Kohler; David O Garcia; Jinnie J Rhee; Rebecca Seguin; Rasa Kazlauskaite; James M Shikany; Cynthia A Thomson
Journal:  Am J Epidemiol       Date:  2019-07-01       Impact factor: 4.897

9.  Test-retest reproducibility of a food frequency questionnaire (FFQ) and estimated effects on disease risk in the Norwegian Women and Cancer Study (NOWAC).

Authors:  Christine L Parr; Marit B Veierød; Petter Laake; Eiliv Lund; Anette Hjartåker
Journal:  Nutr J       Date:  2006-01-31       Impact factor: 3.271

10.  A methodological report from the Malmö Diet and Cancer study: development and evaluation of altered routines in dietary data processing.

Authors:  Elisabet Wirfält; Irene Mattisson; Ulla Johansson; Bo Gullberg; Peter Wallström; Göran Berglund
Journal:  Nutr J       Date:  2002-11-19       Impact factor: 3.271

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