381
Views
9
CrossRef citations to date
0
Altmetric
Original Articles

The Case for Diet Diaries in Longitudinal Studies

Pages 365-377 | Published online: 26 Oct 2007
 

Abstract

Dietary assessment is an important component of longitudinal studies, allowing examination of the role of nutritional factors on health and societal outcomes. Dietary intake can be assessed by a number of methods, varying in respondent and interviewer burden, cost, and detail of type and quantity, as well as frequency of foods consumed. Many longitudinal studies utilise Food Frequency Questionnaires (FFQs) because of ease of administration and low cost, but these lack food detail, rely on good memory and have been questioned in terms of their capability to show diet–disease relationships. Estimated diet diaries are growing in popularity because of lower respondent burden than weighed records yet providing equally valid information, with more detail than FFQs. Costs of coding and translation to nutrients can be built into study budgets; estimated diaries should be considered for longitudinal studies to enable the role of diet in health and lifestyle to be accurately investigated.

Additional information

Notes on contributors

Alison M. Stephen

Alison M. Stephen is Head of Population Nutrition Research at the MRC Resource Centre for Human Nutrition Research, Cambridge University. Her recent research interests are in dietary trend analysis, in the methodology of dietary surveys and food policy.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 323.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.