Skip to main content Accessibility help
×
Home

Relative validity of adolescent dietary patterns: a comparison of a FFQ and 3 d food record

  • Gina L. Ambrosini (a1) (a2), Therese A. O'Sullivan (a1), Nicholas H. de Klerk (a1), Trevor A. Mori (a3), Lawrence J. Beilin (a3) and Wendy H. Oddy (a1)...

Abstract

Interest in empirically derived dietary patterns has increased over the past decade. However, relatively few studies have evaluated dietary patterns using different dietary methods, or in young populations. We quantitatively compared dietary patterns from a FFQ with those from a 3 d food record (FR) in a cohort of adolescents. Subjects from the Western Australian Pregnancy Cohort (Raine) Study completed a semi-quantitative FFQ and a 3 d FR at 14 years of age (n 783). Major dietary patterns were identified using exploratory factor analysis on thirty-eight food groups. Dietary pattern z-scores were compared using 95 % limits of agreement (LOA) and Spearman's r. Two major dietary patterns were identified in the FFQ and FR: a ‘Healthy’ pattern, which was high in fresh fruit, vegetables, whole grains and grilled or canned fish, and a ‘Western’ pattern, which was high in take-away foods, confectionery, soft drinks, crisps and fried potato. The nutrient profiles of these dietary patterns were similar when estimated by the FFQ and FR. The LOA between dietary pattern scores from the FFQ and FR were − 1·69 to 1·75 (‘Healthy’) and − 1·89 to 1·82 (‘Western’). Minor differences in agreement were observed when boys and girls were analysed separately. Spearman's correlation coefficients between the FFQ and the FR were r 0·45 (‘Healthy’) and r 0·36 (‘Western’). Comparable dietary patterns may be obtained from the FFQ and FR using exploratory factor analysis. This supports the use of major dietary patterns identified using the FFQ in this adolescent cohort.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Relative validity of adolescent dietary patterns: a comparison of a FFQ and 3 d food record
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Relative validity of adolescent dietary patterns: a comparison of a FFQ and 3 d food record
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Relative validity of adolescent dietary patterns: a comparison of a FFQ and 3 d food record
      Available formats
      ×

Copyright

Corresponding author

*Corresponding author: Dr G. L. Ambrosini, fax +44 1223 437 515, email gina.ambrosini@mrc-hnr.cam.ac.uk

References

Hide All
1Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.
2Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.
3Sempos, C (1992) Invited Commentary: some limitations of semi-quantitative food frequency questionnaires. Am J Epidemiol 135, 11271132.
4Hu, FB, Rimm, E, Smith-Warner, SA, et al. (1999) Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69, 243249.
5Khani, BR, Ye, W, Terry, P, et al. (2004) Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr 134, 15411545.
6Togo, P, Heitmann, BL, Sorensen, TIA, et al. (2003) Consistency of food intake factors by different dietary assessment methods and population groups. Br J Nutr 90, 667678.
7Crozier, SR, Inskip, HM, Godfrey, KM, et al. (2008) Dietary patterns in pregnant women: a comparison of food-frequency questionnaires and 4 d prospective diaries. Br J Nutr 99, 869875.
8Okubo, H, Murakami, K, Sasaki, S, et al. (2010) Relative validity of dietary patterns derived from a self-administered diet history questionnaire using factor analysis among Japanese adults. Public Health Nutr 13, 10801089.
9Mikkilä, V, Räsänen, L, Raitakari, OT, et al. (2005) Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr 93, 923931.
10Newnham, JP, Evans, SF, Michael, CA, et al. (1993) Effects of frequent ultrasound during pregnancy – a randomised controlled trial. Lancet 342, 887891.
11Baghurst, KI & Record, SJ (1984) A computerised dietary analysis system for use with diaries or food frequency questionnaires. Community Health Stud 8, 1118.
12Ambrosini, GL, de Klerk, NH, O'Sullivan, TA, et al. (2009) The reliability of a food frequency questionnaire for use among adolescents. Eur J Clin Nutr 63, 12511259.
13Ambrosini, GL, Oddy, WH, Robinson, M, et al. (2009) Adolescent dietary patterns are associated with lifestyle and family psycho-social factors. Public Health Nutr 12, 18071815.
14Di Candilo, KG, Oddy, WH, Miller, M, et al. (2007) Follow-up phone-calls increase nutrient intake estimated by three-day food diaries in 13 year old participants of the Raine study. Nutr Diet 64, 165171.
15Xyris Software (2007) Foodworks Professional, 4.0 ed.Brisbane, QLD: Xyris Software.
16Food Standards Australia New Zealand. NUTTAB (2006) http://www.foodstandards.gov.au/monitoringandsurveillance/foodcompositionprogram/ (accessed 5 July 2010).
17Huang, R-C, Mori, TA, Burke, V, et al. (2009) Synergy between adiposity, insulin resistance, metabolic risk factors and inflammation in adolescents. Diabetes Care 32, 695701.
18Murphy, KJ, Meyer, BJ, Mori, TA, et al. (2007) Impact of foods enriched with n-3 long-chain polyunsaturated fatty acids on erythrocyte n-3 levels and cardiovascular risk factors. Br J Nutr 97, 749757.
19Livingstone, MBE, Robson, PJ & Wallace, JMW (2004) Issues in dietary intake assessment of children and adolescents. Br J Nutr 92, S213S222.
20SAS Institute Incorporated (2002–2003) SAS for Windows, 9.1.3 ed.Cary, NC: SAS Institute Incorporated.
21UCLA: Academic Technology Services Statistical Consulting Group (1995) Factor analysis using SAS Proc Factor. http://www.ats.ucla.edu/stat/sas/library/factor_ut.htm (accessed 7 July 2010).
22Bland, JM & Altman, DG (1999) Measuring agreement in method comparison studies. Stat Methods Med Res 8, 135160.
23Willett, WC & Stampfer, M (1998) Implications of total energy intake for epidemiological analyses. In Nutritional Epidemiology, 2nd ed., pp. 273298 [Willett, W, editor]. New York: Oxford University Press.
24Kuczmarski, RJ, Ogden, CL, Grummer-Strawn, LM, et al. (2000) CDC Growth Charts: United States. Advance Data. Number 314 (4 December 2000). http://www.cdc.gov/nchs/data/ad/ad314.pdf (accessed 30 September 2010).
25Bland, MJ & Altman, DG (1986) Statistical methods for assessing agreement between two methods of clinical assessment. Lancet 1, 307310.
26O'Sullivan, TA, Ambrosini, G, Beilin, LJ, et al. (2010) Dietary intake and food sources of fatty acids in Australian adolescents. Nutrition (Epublication ahead of print version 23 March 2010).
27Mozaffarian, D, Lemaitre, RN, Kuller, LH, et al. (2003) Cardiac benefits of fish consumption may depend on the type of fish meal consumed: The Cardiovascular Health Study. Circulation 107, 13721377.
28Crawford, P, Obarzanek, E & Morrison, J (1994) Comparative advantage of 3-day food records over 24-hour recall and 5-day food frequency validated by observation of 9- and 10-year-old girls. J Am Diet Assoc 94, 626630.

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed