Development, Validation, and Reproducibility of Food Group-Based Frequency Questionnaires for Clinical Use in Brazil: A Pre-Hypertension and Hypertension Diet Assessment
Open accessAbstract
The Blood pressure control diet is well described; however, it has not been implemented in clinical care, possibly due to the impracticability of the diet assessment in these contexts. In order to facilitate the dietary assessment, we developed and assessed the validity and reproducibility of two food group-based food frequency questionnaires (FG-FFQs), with a one-week (7-day FG-FFQ) and a one-month (30-day FG-FFQ) period of coverage for patients with pre-hypertension or hypertension. In 2010, 155 men and women, 30–70 years old, were invited to participate in a prospective study in two outpatient clinics in Porto Alegre, southern Brazil. The participants responded to two 30-day, two 7-day FG-FFQ, four 24-h dietary recalls, and underwent demographic, anthropometric, and blood pressure assessments. The validity and reproducibility were assessed using partial correlation coefficients adjusted for sex and age, and the internal validity was tested using the intra-class correlation coefficient. The participants were aged 61 (±10) years and 60% were women. The validity correlation coefficient was higher than r = 0.80 in the 30-day FG-FFQ for whole bread (r = 0.81) and the 7-day FG-FFQ for diet/light/zero soda and industrialized juices (r = 0.84) in comparison to the 24-h dietary recalls. The global internal validity was α = 0.59, but it increased to α = 0.76 when 19 redundant food groups were excluded. The reproducibility was higher than r = 0.80 for pasta, potatoes and manioc, bakery goods, sugar and cocoa, and beans for both versions. The 30-day had a slightly higher validity, both had good internal validity, and the 7-day FG-FFQ had a higher reproducibility.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Dietary consumption was evaluated using a validated Food Frequency Questionnaire.
“Physical activity level was evaluated using the short-form International Physical Activity Questionnaire [19] for the seven days prior to the randomization, as well as dietary consumption using a validated Food Frequency Questionnaire [20].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,769 · see citing works
Establishing a standard definition for child overweight and obesity worldwide: international survey
Cole, T. J. (2000) · BMJ · doi:10.1136/bmj.320.7244.1240 · Cited by 16,500 · see citing works
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271 · see citing works
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800204 · Cited by 9,619 · see citing works
The World Health Report 2002 - Reducing Risks, Promoting Healthy Life
Available, N. A. N. (2003) · Education for Health · doi:10.1080/1357628031000116808 · Cited by 6,051 · see citing works
A Clinical Trial of the Effects of Dietary Patterns on Blood Pressure
Appel, L. J., Moore, T. J., Obarzanek, E., Vollmer, W. M., Svetkey, L. P., Sacks, F. M., Bray, G. A., Vogt, T. M., Cutler, J. A., Windhauser, M. M., et al. (1997) · New England Journal of Medicine · doi:10.1056/nejm199704173361601 · Cited by 5,981 · see citing works
User’s guide to correlation coefficients
Akoglu, H. (2018) · Turkish Journal of Emergency Medicine · doi:10.1016/j.tjem.2018.08.001 · Cited by 5,849 · see citing works
Sacks, F. M., Svetkey, L. P., Vollmer, W. M., Appel, L. J., Bray, G. A., Harsha, D., Obarzanek, E., Conlin, P. R., Miller, E. R., Simons-Morton, D. G., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200101043440101 · Cited by 5,638 · see citing works
Zhou, B., Carrillo-Larco, R. M., Danaei, G., Riley, L. M., Paciorek, C. J., Stevens, G. A., Gregg, E. W., Bennett, J. E., Solomon, B., Singleton, R. K., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01330-1 · Cited by 3,902 · see citing works
Body mass index cut offs to define thinness in children and adolescents: international survey
Cole, T. J., Flegal, K. M., Nicholls, D., & Jackson, A. A. (2007) · BMJ · doi:10.1136/bmj.39238.399444.55 · Cited by 2,614 · see citing works
Adherence to a DASH-Style Diet and Risk of Coronary Heart Disease and Stroke in Women
Fung, T. T. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.7.713 · Cited by 1,567 · see citing works
Development, validation and utilisation of food-frequency questionnaires – a review
Cade, J., Thompson, R., Burley, V., & Warm, D. (2002) · Public Health Nutrition · doi:10.1079/phn2001318 · Cited by 1,423 · see citing works
Olsen, M. H., Angell, S. Y., Asma, S., Boutouyrie, P., Burger, D. E., Chirinos, J. A., Damasceno, A. A. M., Delles, C., Gimenez‐Roqueplo, A., Hering, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31134-5 · Cited by 940 · see citing works
The USDA Automated Multiple-Pass Method Accurately Estimates Group Total Energy and Nutrient Intake
Blanton, C. A., Moshfegh, A. J., Baer, D. J., & Kretsch, M. J. (2006) · Journal of Nutrition · doi:10.1093/jn/136.10.2594 · Cited by 767 · see citing works
Conway, J. M., Ingwersen, L. A., & Moshfegh, A. J. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.01.007 · Cited by 544 · see citing works
Willett, W. C. (2012) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199754038.003.0005 · Cited by 282 · see citing works
Alimentos mais consumidos no Brasil: Inquérito Nacional de Alimentação 2008-2009
Souza, A. D. M., Pereira, R. A., Yokoo, E. M., Levy, R. B., & Sichieri, R. (2013) · Revista de Saúde Pública · doi:10.1590/s0034-89102013000700005 · Cited by 255 · see citing works
Trends in Prevalence of Hypertension in Brazil: A Systematic Review with Meta-Analysis
Picon, R. V., Fuchs, F. D., Moreira, L. B., Riegel, G. R. C., & Fuchs, S. C. P. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048255 · Cited by 206 · see citing works
Self-citationSchwingshackl, L., Chaimani, A., Schwedhelm, C., Toledo, E., Pünsch, M., HOFFMANN, G. E., & Boeing, H. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2018.1463967 · Cited by 165 · see citing works
Epstein, D. E., Sherwood, A., Smith, P. J., Craighead, L. W., Caccia, C., Lin, P., Babyak, M. A., Johnson, J. J., Hinderliter, A. L., & Blumenthal, J. A. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.07.007 · Cited by 162 · see citing works
Your Guide to Lowering Your Blood Pressure with DASH
(2006) · PsycEXTRA Dataset · doi:10.1037/e566492010-001 · Cited by 159 · see citing works
Development of culturally competent food-frequency questionnaires
Teufel‐Shone, N. I. (1997) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/65.4.1173s · Cited by 124 · see citing works
Park, Y., Steck, S. E., Fung, T. T., Zhang, J., Hazlett, L. J., Han, K., Lee, S., Kwon, H., & Merchant, A. T. (2016) · Clinical Nutrition · doi:10.1016/j.clnu.2016.08.018 · Cited by 106 · see citing works
Compliance with the Dietary Approaches to Stop Hypertension (DASH) Diet: A Systematic Review
Kwan, M. W. M., Wong, M. C. S., Wang, H., Liu, K. Q.-L., Lee, C. L.-S., Yan, B. P.-Y., Yu, C., & Griffiths, S. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078412 · Cited by 104 · see citing works
Henn, R. L., Fuchs, S. C. P. C., Moreira, L. B., & Fuchs, F. D. (2010) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2010001100008 · Cited by 89 · see citing works
Self-citationAccuracy of reporting dietary intake using various portion-size aids in-person and via telephone
Godwin, S., Chambers, E., & Cleveland, L. (2004) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2004.01.006 · Cited by 76 · see citing works
ALTERNATIVES IN THE COLLECTION AND ANALYSIS OF FOOD FREQUENCY INTERVIEW DATA
Samet, J. M., Humble, C. G., & Skipper, B. E. (1984) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113919 · Cited by 73 · see citing works
Niedźwiedzka, E., Wądołowska, L., & Kowalkowska, J. (2019) · Nutrients · doi:10.3390/nu11092183 · Cited by 67 · see citing works
Apovian, C. M., Murphy, M. C., Cullum‐Dugan, D., Lin, P., Gilbert, K. M., Coffman, G. A., Jenkins, M., Bakun, P. J., Tucker, K. L., & Moore, T. J. (2009) · Public Health Nutrition · doi:10.1017/s1368980009991996 · Cited by 65 · see citing works
Kim, H., Rebholz, C. M., García-Larsen, V., Steffen, L. M., Coresh, J., & Caulfield, L. E. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz275 · Cited by 61 · see citing works
Imaeda, N., Goto, C., Sasakabe, T., Mikami, H., Oze, I., Hosono, A., Naito, M., Miyagawa, N., Ozaki, E., Ikezaki, H., et al. (2021) · Environmental Health and Preventive Medicine · doi:10.1186/s12199-021-00951-3 · Cited by 46 · see citing works
Fuchs, S. C. P. C., Moreira, L. B., Camey, S. A., Moreira, M. B., & Fuchs, F. D. (2008) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2008001400013 · Cited by 42 · see citing works
Self-citationSeasonal effect on nutrient intake in adults living in Southern Brazil
Rossato, S. L., Olinto, M. T. A., Henn, R. L., dos Anjos, L. A., Bressan, A. W., & Wahrlich, V. (2010) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2010001100019 · Cited by 35 · see citing works
Self-citationFuchs, F. D., Fuchs, S. C. P. C., Moreira, L. B., Gus, M., da Nóbrega, A. C. L., Poli‐de‐Figueiredo, C. E., Mion, D., Bortolotto, L. A., Consolim‐Colombo, F. M., Nobre, F. D., et al. (2011) · Trials · doi:10.1186/1745-6215-12-65 · Cited by 31 · see citing works
Self-citationon behalf of CKD-REIN study investigators, Affret, A., Wagner, S., Fatouhi, D. E., Dow, C., Correia, E., Niravong, M., Clavel‐Chapelon, F., Chefdebien, J., Fouque, D. P., et al. (2017) · BMC Nephrology · doi:10.1186/s12882-017-0695-2 · Cited by 24 · see citing works
Bredin, C., Naimimohasses, S., Norris, S., Wright, C., Hancock, N., Hart, K. H., & Moore, J. B. (2019) · European Journal of Nutrition · doi:10.1007/s00394-019-01926-5 · Cited by 24 · see citing works
Diet Data Collected Using 48-h Dietary Recall: Within—and Between-Person Variation
Rossato, S. L., & Fuchs, S. C. P. C. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.667031 · Cited by 18 · see citing works
Self-citationFuchs, F. D., Fuchs, S. C. P. C., Moreira, L. B., Gus, M., da Nóbrega, A. C. L., Poli‐de‐Figueiredo, C. E., Mion, D., Bortolotto, L. A., Consolim‐Colombo, F. M., Nobre, F. D., et al. (2011) · Trials · doi:10.1186/1745-6215-12-53 · Cited by 10 · see citing works
Self-citationA Data Entry System for Dietary Surveys Based on Visual Basic for Applications Programming
Rossato, S. L., Fung, T. T., & Rodrigues, M. P. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2016.08.004 · Cited by 8 · see citing works
Self-citationMartela, K., Kuźniewicz, R., Pluskiewicz, W., Tabor, E., & Zagórski, P. (2019) · Archives of Osteoporosis · doi:10.1007/s11657-019-0620-3 · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [15]Willett W.C. Nutritional Epidemiology: 24-Hour Dietary Recall and Diet Records Methods 3rd ed. Oxford University Press Oxford, UK 2013
- [16]Willett W. Nutritional Epidemiology: Chapter Food Frequency Questionnaire pg 70-92 3rd ed. Oxford University Press Oxford, UK 2013 9780199754038
Cited by
Sorted by citations
David, C. N., Iochpe, C., Harzheim, E., Sesin, G. P., Gonçalves, M. R., Moreira, L. B., Fuchs, F. D., & Fuchs, S. C. (2023) · Healthcare · doi:10.3390/healthcare11081069 · Cited by 11 · see citing works
“Physical activity level was evaluated using the short-form International Physical Activity Questionnaire [19] for the seven days prior to the randomization, as well as dietary consumption using a validated Food Frequency Questionnaire [20].”
MethodSelf-citationAvelar, B. A., Hino, A. A. F., Santos, A. P., Mendes, L. L., Carraro, J. C. C., Mendonça, R. D. D., & de Menezes, M. C. (2023) · Public Health Nutrition · doi:10.1017/s1368980023002653 · Cited by 8 · see citing works
Yi, J., Song, G., Lin, Z., Peng, Y., & Wu, J. (2023) · Nutrients · doi:10.3390/nu15183928 · Cited by 4 · see citing works
Batubo, N. P., Moore, J. B., & Zulyniak, M. A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0292561 · Cited by 4 · see citing works
Muniz, S. C. R. S., Sanches, G. F., Barbieri, M. A., da Sílva, A. A. M., França, A. K. T. D. C., & Sartorelli, D. S. (2023) · Revista de Nutrição · doi:10.1590/1678-9865202336e220019 · Cited by 2 · see citing works
Food frequency questionnaires developed and validated in Brazil: A scoping review protocol
Barros, A. N. D. A. B., Felipe, M. L. D. N., Leite-Lais, L., & Pedrosa, L. F. C. (2023) · PLoS ONE · doi:10.1371/journal.pone.0294450 · Cited by 1 · see citing works
Relative Validity and Reproducibility of a Dietary Screening Tool in Nigerian Health Care
Batubo, N. P., Auma, C. I., Moore, J. B., & Zulyniak, M. A. (2024) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2024.104459 · Cited by 1 · see citing works
Batubo, N. P., Moore, J. B., & Zulyniak, M. A. (2023) · medRxiv · doi:10.1101/2023.09.25.23296109
Li, D. W., Wu, A., Liu, L., Kuang, H., Xu, C., & Wu, X. (2024) · Analytical Methods · doi:10.1039/d4ay00151f
Diit Rendah Karbohidrat dan Puasa Intermitten terhadap Tekanan Darah pada Penderita Hipertensi
Wahadi, W., Nurachmah, E., & Maria, R. (2024) · Journal of Telenursing (JOTING) · doi:10.31539/joting.v6i1.9513
Food Frequency Questionnaires Validated in Brazil: A Scoping Review
Barros, A. N. A. B., Felipe, M. L. D. N., Bezerra, M. F. S., Leite-Lais, L., & Pedrosa, L. F. C. (2026) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.70190
- Authors
- Rossato, S. L., Mosele, F., Moreira, L. B., Rodrigues, M. P., Lima, R. F., Fuchs, F. D., & Fuchs, S. C.
- Affiliations
- Universidade Federal do Rio Grande do Sul (BR)
- Corresponding author
- Rossato, Sinara L.
- ORCID
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2021-10-29
- Volume
- 13
- Issue
- 11
- Pages
- 3881
- ISSN
- 2072-6643 (ISSN-L)
- PMC
- PMC8622104
- OpenAlex
- W3209442636
- Cited by
- 11
- References
- 40
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 6
- FWCI
- 2.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nutrients (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (308489/2009-8, 211521/2013-2, 309023/2015-7)
- Santander Top Massachusetts (2012/2013)
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (001)
- Fundo de Incentivo à Pesquisa e Eventos (12-0207)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- dietary assessment, prehypertension, hypertension, questionnaire validity, reproducibility, 24-hour dietary recall, questionnaire development
- MeSH terms
- Dietary Approaches To Stop Hypertension, Adult, Aged, Brazil, Diet, Diet Surveys, Female, Humans, Hypertension, Male, Middle Aged, Prospective Studies, Surveys and Questionnaires, Mental Recall, Reproducibility of Results, Prehypertension
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review