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Assessing lifetime diet: reproducibility of a self-administered, non-quantitative FFQ

  • Diane Hosking (a1) (a2), Vanessa Danthiir (a2), Ted Nettelbeck (a1) and Carlene Wilson (a3)
Abstract
AbstractObjective

To demonstrate test–retest reliability (reproducibility) of a new self-administered lifetime diet questionnaire, with a focus on foods relevant to cognitive health in older age.

Design

The reproducibility of dietary recall over four or five life periods was assessed by administering the questionnaire at two time points to an older cohort. The period between questionnaire administrations was 7 weeks. Polychoric correlations measured the association between recall at time 1 and time 2 and the weighted κ statistic measured the level of recall agreement for food groups across the two administrations of the questionnaire.

Setting

Adelaide, South Australia.

Subjects

Fifty-two cognitively healthy, older-age, community-dwelling adults completed the Lifetime Diet Questionnaire; mean age 81·8 (sd 4·4) years, range 70–90 years.

Results

The questionnaire showed very good reproducibility in this sample with a mean polychoric correlation coefficient of 0·81 between administration at time 1 and time 2, and an average weighted κ of 0·49 for the level of recall agreement between food groups.

Conclusions

The demonstrated reliability of this lifetime diet questionnaire makes it a useful tool to assess potential relationships between long-term dietary intake and later-age cognitive outcomes.

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Copyright
Corresponding author
*Corresponding author: Email Diane.Hosking@csiro.au
Linked references
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

20. MA Conway (1992) A structural model of autobiographical memory. In Theoretical Perspectives on Autobiographical Memory, pp. 167194 [MA Conway, DC Rubin, H Spinnler et al., editors]. Dordrecht: Kluwer Academic Publishers.

22. WC Willett (1998) Nutritional Epidemiology. New York: Oxford University Press.

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Public Health Nutrition
  • ISSN: 1368-9800
  • EISSN: 1475-2727
  • URL: /core/journals/public-health-nutrition
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