Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T08:00:15.826Z Has data issue: false hasContentIssue false

Comparison of a picture-sort food-frequency questionnaire with 24-hour dietary recalls in an elderly Utah population

Published online by Cambridge University Press:  02 January 2007

Heidi J Wengreen*
Affiliation:
Utah State University, Department of Nutrition and Food Sciences, Logan, UT 84322-4450, USA
Ronald G Munger
Affiliation:
Utah State University, Department of Nutrition and Food Sciences, Logan, UT 84322-4450, USA
Siew Sun Wong
Affiliation:
Utah State University, Department of Nutrition and Food Sciences, Logan, UT 84322-4450, USA
Nancy A West
Affiliation:
Utah State University, Department of Nutrition and Food Sciences, Logan, UT 84322-4450, USA
Richard Cutler
Affiliation:
Utah State University, Department of Statistics and Mathematics, Logan, UT 84322, USA
*
*Corresponding author: Email hwengreen@cc.usu.edu
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective:

To evaluate the 137-item Utah Picture-sort Food-frequency Questionnaire (FFQ) in the measurement of usual dietary intake in older adults.

Design:

The picture-sort FFQ was administered at baseline and again one year later. Three seasonal 24-hour dietary recall interviews were collected during the year between the two FFQs. Mean nutrient intakes were compared between methods and between administrations of the FFQ.

Setting:

The FFQ interviews were administered in respondents' homes or care-centres. The 24-hour diet recalls were conducted by telephone interview on random days of the week.

Subjects:

Two-hundred-and-eight men and women aged 55–84 years were recruited by random sample of controls from a case–control study of nutrition and bone health in Utah.

Results:

After adjustment for total energy intake, median Spearman rank correlation coefficients between the two picture-sort FFQs were 0.69 for men aged ≤69 years, 0.66 for men aged >69 years; and 0.68 for women aged ≤69 years, 0.67 for women aged >69 years. Median correlation coefficients between methods were 0.50 for men ≤69 years old, 0.52 for men >69 years old; 0.55 for women ≤69 years old, 0.46 for women >69 years old.

Conclusions:

We report intake correlations between methods and administrations comparable to those reported in the literature for traditional paper-and-pencil FFQs and one other picture-sort method of FFQ. This dietary assessment method may improve ease and accuracy of response in this and other populations with low literacy levels, poor memory skill, impaired hearing, or poor vision.

Type
Research Article
Copyright
Copyright © CABI Publishing 2001

References

1Thompson, FE, Byers, T. Dietary assessment resource manual. J. Nutr. 1994; 124: 2245S–317S.Google ScholarPubMed
2Willett, WC. Nutritional Epidemiology. New York: Oxford Press, 1990.Google Scholar
3Van Staveren, WA, de Groot, LC, Blauw, YH, van der Wielen, RP. Assessing diets of elderly people: problems and approaches. Am. J. Clin. Nutr. 1994; 59: 221S–3S.CrossRefGoogle ScholarPubMed
4Kumanyika, SK, Tell, GS, Shemanski, L, Martel, J, Chinchilli, VM. Dietary assessment using a picture-sort approach. Am. J. Clin. Nutr. 1997; 65: 1123S–9S.CrossRefGoogle ScholarPubMed
5Freedman, LS, Carroll, RJ, Wax, Y. Estimating the relation between dietary intake obtained from a food frequency questionnaire and true average intake. Am. J. Epidemiol. 1991; 134: 310–20.CrossRefGoogle ScholarPubMed
6Willett, WC, Sampson, L, Stampfer, MJ. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am. J. Epidemiol. 1985; 122: 5165.CrossRefGoogle ScholarPubMed
7Willett, WC, Reynolds, RD, Cottrell-Hoehner, S, Sampson, L, Browne, ML. Validation of a semi-quantitative food frequency questionnaire: comparison with a 1-year diet record. J. Am. Diet. Assoc. 1987; 87: 43–7.CrossRefGoogle ScholarPubMed
8Willett, WC, Sampson, L, Browne, ML. The use of a self-administered questionnaire to assess diet four years in the past. Am. J. Epidemiol. 1988; 127: 188–99.CrossRefGoogle ScholarPubMed
9Block, G, Hartman, AM, Dresser, CM, Carroll, MD, Gannon, J, Gardner, L. A data-based approach to diet questionnaire design and testing. Am. J. Epidemiol. 1986; 124: 453–69.CrossRefGoogle ScholarPubMed
10Kumanyika, S, Tell, GS, Fried, L, Martel, JK, Chinchilli, VM. Picture-sort method for administering a food frequency questionnaire to older adults. J. Am. Diet. Assoc. 1996; 96: 137–44.CrossRefGoogle ScholarPubMed
11Posner, BM, Smigelski, C, Duggal, A, Morgan, JL, Cobb, J, Cupples, LA. Validation of two-dimensional models for estimation of portion size in nutrition research. J. Am. Diet. Assoc. 1992; 92: 738–41.CrossRefGoogle ScholarPubMed
12Johnson, RK, Driscoll, P, Goran, MI. Comparison of multiple-pass 24-hour recall estimates of energy intake with total energy expenditure determined by the doubly labeled water method in young children. J. Am. Diet. Assoc. 1996; 96: 1140–4.CrossRefGoogle ScholarPubMed
13Willett, W, Stampfer, MJ. Total energy intake: implications for epidemiologic analyses. Am. J. Epidemiol. 1986; 124: 1727.CrossRefGoogle ScholarPubMed
14Beaton, GH, Milner, J, Corey, P, et al. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am. J. Clin. Nutr. 1979; 32: 2546–9.CrossRefGoogle ScholarPubMed
15Block, GSE. Estimate of nutrient intake from a food frequency questionnaire: The 1987 National Health Interview Survey. J. Am. Diet. Assoc. 1992; 92: 969–77.CrossRefGoogle ScholarPubMed
16Mares-Perlman, JA, Klein, BE, Klein, R, Ritter, LL, Freudenheim, JL, Luby, MH. Nutrient supplements contribute to the dietary intake of middle- and older-aged adult residents of Beaver Dam, Wisconsin. J. Nutr. 1993; 123: 176–88.Google Scholar
17Klipstein-Grobusch, K, den Breeijen, JH, Goldbohm, RA. Dietary assessment in the elderly: validation of a semiquantitative food frequency questionnaire. Eur. J. Clin. Nutr. 1998; 52: 588–96.CrossRefGoogle ScholarPubMed
18Larkin, FA, Metzner, HL, Thompson, FE, Flegal, KM, Guire, KE. Comparison of estimated nutrient intakes by food frequency and dietary records in adults. J. Am. Diet. Assoc. 1989; 89: 215–23.CrossRefGoogle ScholarPubMed
19Kipnis, V, Carroll, RJ, Freedman, LS, Li, L. Implications of a new dietary measurement error model for estimation of relative risk: application to four calibration studies. Am. J. Epidemiol. 1999; 150: 642–51.CrossRefGoogle ScholarPubMed
20Dubois, S, Boivin, JF. Accuracy of telephone dietary recalls in elderly subjects. J. Am. Diet. Assoc. 1990; 90: 1680–7.CrossRefGoogle ScholarPubMed
21Munger, RG, Folsom, AR, Kushi, LH, Kaye, SA, Sellers, TA. Dietary assessment of older Iowa women with a food frequency questionnaire: nutrient intake, reproducibility, and comparison with 24-hour dietary recall interviews. Am. J. Epidemiol. 1992; 136: 192200.CrossRefGoogle ScholarPubMed
22Lazarus, R, Wilson, A, Gliksman, M, Aiken, J. Repeatability of nutrient intakes estimated by a semiquantitative food frequency questionnaire in elderly subjects. Ann. Epidemiol. 1995; 5: 65–8.CrossRefGoogle ScholarPubMed
23Mares-Perlman, JA, Klein, BE, Klein, R, Ritter, LL, Fisher, MR, Freudenheim, JL. A diet history questionnaire ranks nutrient intakes in middle-aged and older men and women similarly to multiple food records. J. Nutr. 1993; 123: 489501.CrossRefGoogle ScholarPubMed
24Grootenhuis, PA, Westenbrink, S, Sie, CM, de Neeling, JN, Kok, FJ, Bouter, LM. A semiquantitative food frequency questionnaire for use in epidemiologic research among the elderly: validation by comparison with dietary history. J. Clin. Epidemiol. 1995; 48: 859–68.CrossRefGoogle ScholarPubMed
25Lieberman, LS, Bobroff, LB, Probart, CK, Kurtz, CS. A visual tool for improved cross-cultural dietary assessment. Am. J. Clin. Nutr. 1994; 59S: 290S (abstract).Google Scholar