Literature DB >> 17610758

Do aggregates of multiple questions better capture overall fish consumption than summary questions?

Kym Mina1, Lin Fritschi, Matthew Knuiman.   

Abstract

OBJECTIVE: To compare intake estimates, validity and reliability of two summary questions to measure fish consumption with information from a detailed semi-quantitative food-frequency questionnaire (FFQ) on fish consumption.
DESIGN: Population-based, cross-sectional study. Participants completed an FFQ and provided blood samples for erythrocyte membrane eicosapentaenoic acid (EPA) analysis. Aggregate measures of consumption of fresh/frozen/canned fish (fresh fish) and smoked/salted/dried fish (preserved fish) were generated from the FFQ and were compared with responses to the summary questions regarding intakes of similar items. Both methods were tested for validity, using correlation and linear regression techniques with EPA, and retest reliability.
SETTING: Perth metropolitan area, Western Australia.
SUBJECTS: One hundred and nine healthy volunteers of both sexes, aged 21-75 years.
RESULTS: The summary fresh fish measure underestimated frequency and grams per week given by the aggregate question by about 50%, while estimates from the summary preserved fish measure were approximately three times that of the aggregate measure. Multiple linear regression analysis suggested that the aggregates accounted for more of the variation in EPA levels, but the difference was minimal. Intra-class correlations confirmed that both methods were reliable.
CONCLUSIONS: Our study indicates that extensive questioning results in different absolute intakes of fish compared with brief questioning, but does not add any information if ranking individuals according to overall consumption of fish.

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Year:  2007        PMID: 17610758     DOI: 10.1017/S1368980007000468

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  1 in total

1.  Comparison of seafood consumption in a group of Italian mother-child pairs.

Authors:  Laura Deroma; Francesca Valent; Maria Parpinel; Fabio Barbone
Journal:  J Health Popul Nutr       Date:  2013-12       Impact factor: 2.000

  1 in total

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