Literature DB >> 10798209

Diet-associated risks of disease and self-reported food consumption: how shall we treat partial nonresponse in a food frequency questionnaire?

L M Hansson1, M R Galanti.   

Abstract

Using data from a population-based case-control study on thyroid cancer, we studied two approaches of handling missing answers in a food frequency questionnaire when estimating food consumption and nutrient intakes. We analyzed the dietary reports of 165 cases and 248 control subjects. In the first approach, the omitted food items were considered as "null consumption." In the second approach, the missing answers were replaced with the median frequencies for subjects in the corresponding outcome category actually answering that specific food item. The results showed marginal differences between the two methods. In addition, the null consumption assumption was validated by means of complementary telephone interviews with a subsample of subjects who provided incomplete reports. Overall, the originally omitted answers actually corresponded to very rare consumption for 54.2% of cancer patients and for 54.7% of controls. However, this "true" proportion of null consumption varied greatly between different food items (range 0-96%) and between food groups (range 14-82%). To interpret the omitted self-reports of food consumption as indication of "zero consumption" is quite reasonable when the investigation does not focus on dietary items widely consumed in the source population.

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Year:  2000        PMID: 10798209     DOI: 10.1207/S15327914NC3601_1

Source DB:  PubMed          Journal:  Nutr Cancer        ISSN: 0163-5581            Impact factor:   2.900


  16 in total

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3.  Dietary patterns and thyroid cancer risk: a population-based case-control study.

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8.  Long term alcohol intake and risk of rheumatoid arthritis in women: a population based cohort study.

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9.  Coffee consumption and risk of fracture in the Cohort of Swedish Men (COSM).

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10.  Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration.

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Journal:  Adv Nutr       Date:  2017-09-15       Impact factor: 8.701

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