Comparative Validity of a Food Frequency Questionnaire for Adults with IDDM
Open accessAbstract
OBJECTIVE: To investigate the characteristics of a food frequency questionnaire (FFQ) in measuring dietary intake in an adult insulin-dependent diabetes mellitus (IDDM) population. FFQs have been widely used in developed countries to assess usual dietary intake; however, information regarding the application of the method to individuals advised to follow a specific dietary regimen (such as people with IDDM) is scarce. RESEARCH DESIGN AND METHODS: The measurement of energy and macronutrients by an interviewer-administered FFQ was assessed in 84 adults, who were representative of adults with IDDM in Tasmania, Australia, by comparing it with 2 days of weighed dietary records. Mean daily energy and macronutrient intakes by each method were compared, and Pearson correlation coefficients were calculated for both unadjusted and energy-adjusted macronutrient intakes. RESULTS: The ratio of within-person to between-person variance in dietary estimates from weighed records was 0.53 for energy, 0.70 for fat, 2.55 for protein, 0.50 for carbohydrate, 0.78 for saturated fat, and 3.56 for dietary cholesterol. The correlation coefficient between the FFQ and a 2-day weighed dietary record for the same nutrients ranged from 0.38 for protein intake to 0.60 for saturated fat intake. The correlation coefficient between the FFQ and true usual dietary intake was estimated to be 0.60 for energy-adjusted fat intake, 0.36 for energy-adjusted protein intake, 0.72 for energy-adjusted carbohydrate intake, 0.55 for energy-adjusted saturated fat intake, and 0.77 for energy-adjusted cholesterol intake. CONCLUSIONS: People with IDDM had a low ratio of within-person to between-person variance in daily energy, fat, carbohydrate, saturate fat, and cholesterol intake. The performance of the FFQ in the IDDM population is consistent with similar questionnaires in nondiabetic populations; however, there was a significant decrease in the dietary energy estimate upon readministration of the questionnaire. Validation studies such as this are important to provide information to guide the design and analysis of investigations that use dietary questionnaires.
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This validation study had an adequate sample size similar to those used in previous studies.
“In addition, this validation study had an adequate sample size [15] similar to those used in previous studies [30,45-46].”
From Online dietary intake estimation: reproducibility and validity of the Food4Me Food frequency questionnaire against a 4-day weighed food record (2014) · cites this paper as [46]
Cites
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274 · cited 4× · see citing works
“In other studies using different FFQs (11-13), correlation coefficients for total energy and macronutrient intakes by FFQs repeated at time intervals of 5-12 months were in the ranges 0.”
BackgroundResultInfluentialRimm, E. B., Giovannucci, E. L., Stampfer, M. J., Colditz, G. A., Litin, L. B., & Willett, W. C. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116211 · Cited by 2,104 · cited 2× · see citing works
“In other studies using different FFQs (11-13), correlation coefficients for total energy and macronutrient intakes by FFQs repeated at time intervals of 5-12 months were in the ranges 0.”
Nelson, M., Black, A. E., Morris, J., & Cole, T. J. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/50.1.155 · Cited by 530 · cited 1× · see citing works
“For example, the mean ratio of within-subject to between-subject variation in nutrient intake in six adult British populations (16) was 1.”
BackgroundAccuracy of weighed dietary records in studies of diet and health.
Livingstone, M. B., Prentice, A. M., Strain, J. J., Coward, W. A., Black, A. E., Barker, M. E., McKenna, P. G., & Whitehead, R. G. (1990) · BMJ · doi:10.1136/bmj.300.6726.708 · Cited by 455 · cited 1× · see citing works
“Subjects tend to underreport food intake based on weighed dietary records by —20% (19).”
BackgroundMunger, R. G., Folsom, A. R., Kushi, L. H., Kaye, S. A., & Sellers, T. A. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116485 · Cited by 353 · cited 3× · see citing works
“In other studies using different FFQs (11-13), correlation coefficients for total energy and macronutrient intakes by FFQs repeated at time intervals of 5-12 months were in the ranges 0.”
ResultDesign Concepts in Nutritional Epidemiology
Guest, C. (1992) · Journal of Epidemiology & Community Health · doi:10.1136/jech.46.3.317-b · Cited by 226 · cited 1× · see citing works
“I n studying the relationship between nutrients and disease in humans, the need for practical methods to estimate individual usual dietary intake in large numbers of people has resulted in the use of semiquantitative food frequency questionnaires (FFQs) (1,2).”
BackgroundEFFECTS OF INTRAINDIVIDUAL AND INTERINDIVIDUAL VARIATION IN REPEATED DIETARY RECORDS
Sempos, C. T., Johnson, N. E., Smith, E. L., & Gilligan, C. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113974 · Cited by 219 · cited 1× · see citing works
“1) in a dietary record study of volunteer North American women ages 35-65 years (17).”
BackgroundLongnecker, M. P., Lissner, L., Holden, J. M., Flack, V. F., Taylor, P. R., Stampfer, M. J., & Willett, W. C. (1993) · Epidemiology · doi:10.1097/00001648-199307000-00012 · Cited by 129 · cited 3× · see citing works
“Other intermethod comparison studies that use similar methodology show the correlation coefficients between methods for macronutrients after energy adjustment either increasing when 10-day weighed records were used as a comparison (10), decreasing when five 24-h dietary recalls were used as a comparison (14), or both…”
BackgroundResultHuman dietary assessment: methods and issues.
Block, G. (1989) · Preventive Medicine · doi:10.1016/0091-7435(89)90036-4 · Cited by 102 · cited 1× · see citing works
“The short 2-day recording period has the advantages of relatively low subject burden and relatively accurate recording, which otherwise decreases after just a few consecutive days (18).”
BackgroundCommentary and translation: 1994 nutrition recommendations for diabetes
Tinker, L., Heins, J., & Holler, H. (1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)90212-7 · Cited by 44 · cited 2× · see citing works
“People with IDDM are encouraged to adhere to specific dietary guidelines (4) and are generally subject to more intensive dietary education than the general population because it is a central part of their health care plan.”
BackgroundComparison of a food frequency questionnaire with a 10-day weighed record in cigarette smokers.
Thompson, R., & Margetfs, B. M. (1993) · International Journal of Epidemiology · doi:10.1093/ije/22.5.824 · Cited by 39 · see citing works
Flagged first, then by citations
7 of the 18 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Food-frequency questionnaires: a review of their design, validation and utilisation
Cade, J. E., Burley, V. J., Warm, D. L., Thompson, R. L., & Margetts, B. M. (2004) · Nutrition Research Reviews · doi:10.1079/nrr200370 · Cited by 518 · see citing works
Reproducibility and Validity of Food Frequency Questionnaires
Willett, W. C., & Lenart, E. B. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199754038.003.0006 · Cited by 427 · see citing works
Fallaize, R., Forster, H., Macready, A. L., Walsh, M. C., Mathers, J. C., Brennan, L., Gibney, E. R., Gibney, M. J., & Lovegrove, J. A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3355 · Cited by 210 · see citing works
“In addition, this validation study had an adequate sample size [15] similar to those used in previous studies [30,45-46].”
Validity and reproducibility of a web-based, self-administered food frequency questionnaire
Labonté, M.-È., Cyr, A., Baril-Gravel, L., Royer, M.-M., & Lamarche, B. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2011.163 · Cited by 189 · see citing works
“This observation has also been reported in previous studies assessing reproducibility of web-based and IA dietary assessment tools (Riley and Blizzard, 1995; Goulet et al., 2004; Beasley et al., 2009).”
ResultGoulet, J., Nadeau, G., Lapointe, A., Lamarche, B., & Lemieux, S. (2004) · Nutrition Journal · doi:10.1186/1475-2891-3-13 · Cited by 173 · see citing works
“These values are similar to correlations reported by others [14,18,19,21,22,33,35-37].”
Jones, G., Riley, M. D., & Whiting, S. J. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.4.839 · Cited by 104 · see citing works
Self-citationComparison of strategies for assessing nutritional adequacy in elite female athletes’ dietary intake
Heaney, S., O’Connor, H., Gifford, J., & Naughton, G. (2010) · International Journal of Sport Nutrition and Exercise Metabolism · doi:10.1123/ijsnem.20.3.245 · Cited by 95 · see citing works
“…FFQ (developed by the Commonwealth Scientific and Industrial Research Organization [CSIRO], Adelaide, South Australia) designed and validated on various Australian population samples (Amanatidis, Mackerras, & Simpson, 2001; Baghurst & Record, 1987; Gelissen & Roberts, 1992; Riley & Blizzard, 1995).”
Egami, I., Wakai, K., Kato, K., Line, Y., Kawamura, T., Tamakoshi, A., Aoki, R., Kojima, M., Nakayama, T., Wada, M., et al. (1999) · Journal of Epidemiology · doi:10.2188/jea.9.227 · Cited by 94 · see citing works
The Association Between Shift Work and Unhealthy Weight
Zhao, I., Bogossian, F. E., Song, S., & Turner, C. T. (2011) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e318205e1e8 · Cited by 80 · see citing works
Acarbose: a review of US clinical experience
Coniff, R. F. (1997) · Clinical Therapeutics · doi:10.1016/s0149-2918(97)80069-0 · Cited by 66 · see citing works
Riley, M. D., & Dwyer, T. (1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/67.1.50 · Cited by 61 · see citing works
Self-citationAmbrosini, G. L., Mackerras, D., de Klerk, N. H., & Musk, A. W. (2003) · Public Health Nutrition · doi:10.1079/phn2002434 · Cited by 55 · see citing works
“…Recommended Dietary Intakes (RDIs) in children 13 , adults 13–15 and the elderly 16–18 , the contribution of nutrients and energy in the diets of children 19 , adults 20,21 and diabetics 22,23 , and to monitor dietary changes as indicators of the effectiveness of health promotion programmes 24,25 .”
BackgroundMethodInfluentialMoulin, C., Tiskievicz, F., Zelmanovitz, T., de Oliveira, J., de Azevedo, M., & Gross, J. (1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/67.5.853 · Cited by 50 · see citing works
Ingestão alimentar em estudos epidemiológicos
Lopes, A. C. S., Caiaffa, W. T., Mingoti, S. A., et al. (2003) · Revista Brasileira de Epidemiologia · doi:10.1590/s1415-790x2003000300004 · Cited by 42 · see citing works
Pandey, D., Bhatia, Boddula, R., et al. (2006) · PubMed · Cited by 31 · see citing works
Wang, Y., Liu, L., Feng, Z., et al. (2011) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-011-0751-1 · Cited by 27 · see citing works
“However, most patients rely heavily on oral anti-diabetes drugs because they are unable to permanently change their dietary habits (Coniff and Krol 1997; Riley and Blizzard 1995).”
BackgroundHong, S., Choi, Y., Lee, H. J., Kim, S. H., Oe, Y., Lee, S. Y., Nam, M., & Kim, Y. (2010) · Korean Diabetes Journal · doi:10.4093/kdj.2010.34.1.32 · Cited by 26 · see citing works
High meat consumption is associated with type 1 diabetes mellitus in a Sardinian case–control study
Muntoni, S., Mereu, R., Atzori, L., Mereu, A., Galassi, S., Corda, S., Frongia, P., Angius, E., Contu, P., Contu, P., et al. (2012) · Acta Diabetologica · doi:10.1007/s00592-012-0385-2 · Cited by 25 · see citing works
“A caveat of FFQ analysis consists in the fact that it provides only a gross estimate of nutrient consumption giving a synthetic picture of dietary intake in which no information on portion size and component nutrients can be precisely established [38].”
BackgroundAsthma, Inhaled Corticosteroid Use, and Bone Mass in Prepubertal Children
Jones, G., Ponsonby, A., Smith, B. J., et al. (2000) · Journal of Asthma · doi:10.3109/02770900009090816 · Cited by 23 · see citing works
Vaz, J. D. S., Bittencourt, M., de Almeida, J. C., Gross, J. L., de Azevedo, M. J., & Zelmanovitz, T. (2008) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2008.03.022 · Cited by 21 · see citing works
Sarmento, R. A., Antonio, J. P., Riboldi, B. P., et al. (2013) · Public Health Nutrition · doi:10.1017/s1368980013002644 · Cited by 20 · see citing works
“Our results were similar to those of other studies that evaluated FFQ performance((13,40,41)).”
ResultMurata, G. H., Shah, J. H., Duckworth, W. C., Wendel, C. S., Mohler, M. J., & Hoffman, R. M. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.09.026 · Cited by 18 · see citing works
Sarmento, R. A., Riboldi, B. P., Rodrigues, T. D. C., de Azevedo, M. J., & de Almeida, J. C. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-740 · Cited by 18 · see citing works
“To date, four FFQs involving patients with diabetes have been validated and published in specific populations: Australian [4], Japanese [5], Malian [6], and Korean [7]; however, none was made for the Brazilian population.”
Martin, G. (2004) · Research Online (University of Wollongong) · Cited by 14 · see citing works
Horne, J. R., Gilliland, J., & Madill, J. (2020) · Nutrients · doi:10.3390/nu12051454 · Cited by 13 · see citing works
Coulibaly, A., O’Brien, H. T., & Galibois, I. (2008) · Public Health Nutrition · doi:10.1017/s1368980008002620 · Cited by 11 · see citing works
“In adults with type 1 diabetes, Riley and Blizzard((36)) investigated the characteristics of a”
BackgroundRedmond, E. H. (2004) · Cited by 8 · see citing works
Nutritional Status Measurement Instruments for Diabetes: A Systematic Psychometric Review
Montagut‐Martínez, P., Pérez‐Cruzado, D., & García-Arenas, J. J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165719 · Cited by 7 · see citing works
Marques, R. D. M. B., de Oliveira, A. C., Teles, S. A. S., Stringhini, M. L. F., Fornés, N. S., & Gardenghi, G. (2014) · International Journal of Endocrinology · doi:10.1155/2014/976508 · Cited by 7 · see citing works
“Correlation coefficients lower than 0.4 were similar to the results of Rockett et al. [14] for cholesterol, of Riley and Blizzard [23] for protein, and of Rodriguéz et al. [24] for vitaminC.”
BackgroundInfluentialAmsah, N., Isa, Z. M., & Ahmad, N. (2023) · Nutrients · doi:10.3390/nu15030506 · Cited by 5 · see citing works
Sui, Z., Moran, L., Chapple, L. S., & Dodd, J. M. (2013) · Journal of Nutritional Therapeutics · doi:10.6000/1929-5634.2013.02.02.4 · Cited by 2 · see citing works
“The Willett questionnaire is also able to detect relation between different types of chronic diseases including colon cancer [28], symptomatic diverticular disease [30], coronary heart disease [31], and myocardial infarction [32] and food consumption [8, 10, 11, 17, 18].”
BackgroundSalud cardiovascular en la menopausia
Medina, F. A. (2015) · Revista Peruana de Ginecología y Obstetricia · doi:10.31403/rpgo.v54i1094 · Cited by 1 · see citing works
Dietary factors and type 2 diabetes mellitus in urban Saudi adults
Al-Khudairy, L. (2026) · Warwick Research Archive Portal (University of Warwick) · doi:10.82444/warw.33651487 · Cited by 1 · see citing works
Vaz, J. D. S. (2005) · Americanae (AECID Library)
- Authors
- Riley, M. D., & Blizzard, L.
- Affiliations
- University of Tasmania (AU)
- ORCID
- Riley, Malcolm D
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 1995-09-01
- Volume
- 18
- Issue
- 9
- Pages
- 1249-1254
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2043648800
- Cited by
- 35
- References
- 18
- Citations by year
- 2026: 1 · 2023: 1 · 2020: 2 · 2014: 2 · 2013: 4 · 2012: 2
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- eCite Digital Repository (University of Tasmania) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Keywords
- food frequency questionnaire, questionnaire validity, type 1 diabetes, dietary assessment, weighed dietary records, energy intake, macronutrient intake, saturated fat intake, dietary cholesterol, within-person variability, interviewer-administered questionnaire
- MeSH terms
- Adolescent, Adult, Aged, Analysis of Variance, Diabetes Mellitus, Type 1, Diet, Diabetic, Feeding Behavior, Female, Humans, Male, Middle Aged, Surveys and Questionnaires, Tasmania, Reproducibility of Results, Diet Records, Body Mass Index, Confidence Intervals, Statistics, Nonparametric
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