The DOI matches its Crossref record.
Relative validity and reproducibility of a food frequency dietary questionnaire for use in the Italian EPIC centres
Abstract
A pilot questionnaire was developed for the EPIC centres of northern Italy, and validated in the feasibility part of the cohort project. The questionnaire was self-administered and of the food frequency type with portion size estimated by means of pictures. It was structured by courses within a meal characteristic of Italian dietary habits. Dietary intake estimated by the questionnaire was compared to the corresponding estimates obtained from 8-14 24-hour recall interviews administered over a 1-year period. The reference method was validated by means of urinary nitrogen in 4-6 repeated 24-hour urine collections. One hundred and ninety-seven volunteers (47 men and 150 women) were enrolled and completed the study lasting 1 year. They filled out two questionnaires at the beginning and at the end of the study, and had a 24-hour recall interview once a month. Twenty-four-hour urine samples were collected at regular intervals. Usual intake of energy, the major nutrients and some vitamins were estimated for the questionnaires and the reference method by means of food composition tables compiled for this study. The agreement between the questionnaire and the 24-hour recalls was only good for alcohol consumption: Pearson's correlation was 0.73 and 0.77 in men and women respectively. Otherwise the relative validity of the questionnaire ranged between 0.28 for fat to 0.52 for carbohydrates in men and 0.25 and 0.50 in women for the same nutrients. The validity of the two interview methods in estimating protein intake, compared to mean urinary nitrogen was 0.24 (M) and 0.18 (W) for the questionnaire and 0.63 (M) and 0.48 (W) for 24-hour recalls. The main causes of low performance of the questionnaire were identified to be the estimated intake of dressing and cooking fats, vegetables and meat. Remedies were devised and introduced in the final version of the questionnaire currently in use in the EPIC project.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Reliability and relative validity of an FFQ for nutrients in the Tehran Lipid and Glucose Study
Mirmiran, P., Hosseini Esfahani, F., Mehrabi, Y., Hedayati, M., & Azizi, F. (2010) · Public Health Nutrition · doi:10.1017/s1368980009991698 · Cited by 1,292
Hosseini Esfahani, F., Asghari, G., Mirmiran, P., & Azizi, F. (2010) · Journal of Epidemiology · doi:10.2188/jea.je20090083 · Cited by 880
The origins of age-related proinflammatory state
Ferrucci, L., Corsi, A., Lauretani, F., Bandinelli, S., Bartali, B., Taub, D. D., Guralnik, J. M., & Longo, D. L. (2005) · Blood · doi:10.1182/blood-2004-07-2599 · Cited by 908
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
Quach, A., Levine, M. E., Tanaka, T., Lu, A. T., Chen, B. H., Ferrucci, L., Ritz, B., Bandinelli, S., Neuhouser, M. L., Beasley, J. M., et al. (2017) · Aging · doi:10.18632/aging.101168 · Cited by 801
Relationship of plasma polyunsaturated fatty acids to circulating inflammatory markers.
Ferrucci, L., Cherubini, A., Bandinelli, S., Bartali, B., Corsi, A., Lauretani, F., Martin, A., Andres-Lacueva, C., Senin, U., & Guralnik, J. M. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1303 · Cited by 696
Genome-Wide Association Study of Plasma Polyunsaturated Fatty Acids in the InCHIANTI Study
Tanaka, T., Shen, J., Abecasis, G. R., Kisialiou, A., Ordovas, J. M., Guralnik, J. M., Singleton, A., Bandinelli, S., Cherubini, A., Arnett, D., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000338 · Cited by 418
Agnoli, C., Krogh, V., Grioni, S., Sieri, S., Palli, D., Masala, G., Sacerdote, C., Vineis, P., Tumino, R., Frasca, G., et al. (2011) · The Journal of Nutrition · doi:10.3945/jn.111.140061 · Cited by 218
Self-citationMaggio, M., Basaria, S., Ble, A., Lauretani, F., Bandinelli, S., Ceda, G. P., Valenti, G., Ling, S. M., & Ferrucci, L. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2005-1097 · Cited by 200
Bonaccio, M., Di Castelnuovo, A., Costanzo, S., De Curtis, A., Persichillo, M., Sofi, F., Cerletti, C., Donati, M. B., de Gaetano, G., & Iacoviello, L. (2021) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa299 · Cited by 181
Elosua, R., Bartali, B., Ordovas, J. M., Corsi, A. M., Lauretani, F., Ferrucci, L., & on Behalf of the InCHIANTI Investigators (2005) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/60.6.760 · Cited by 171
Salvini, S., Sera, F., Caruso, D., Giovannelli, L., Visioli, F., Saieva, C., Masala, G., Ceroti, M., Giovacchini, V., Pitozzi, V., et al. (2006) · British Journal Of Nutrition · doi:10.1079/bjn20051674 · Cited by 166
Bo, S., Ponzo, V., Ciccone, G., Evangelista, A., Saba, F., Goitre, I., Procopio, M., Pagano, G. F., Cassader, M., & Gambino, R. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2016.08.010 · Cited by 146
Burger, K. N. J., Beulens, J. W. J., van der Schouw, Y. T., Sluijs, I., Spijkerman, A. M. W., Sluik, D., Boeing, H., Kaaks, R., Teucher, B., Dethlefsen, C., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043127 · Cited by 131
Kaaks, R., Bellati, C., Venturelli, E., Rinaldi, S., Secreto, G., Biessy, C., Pala, V, Sieri, S., & Berrino, F. (2003) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601647 · Cited by 120
Chen, H., Wang, J., Li, Z., Lam, C. W. K., Xiao, Y., Wu, Q., & Zhang, W. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16122192 · Cited by 112
Musso, G., Gambino, R., Pacini, G., De Michieli, F., & Cassader, M. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26720 · Cited by 107
Low Plasma N-3 Fatty Acids and Dementia in Older Persons: The InCHIANTI Study
Cherubini, A., Andres-Lacueva, C., Martin, A., Lauretani, F., Iorio, A. D., Bartali, B., Corsi, A., Bandinelli, S., Mattson, M. P., & Ferrucci, L. (2007) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/62.10.1120 · Cited by 95
Vitamin E levels, cognitive impairment and dementia in older persons: the InCHIANTI study
Cherubini, A., Martin, A., Andres-Lacueva, C., Di Iorio, A., Lamponi, M., Mecocci, P., Bartali, B., Corsi, A., Senin, U., & Ferrucci, L. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.09.002 · Cited by 94
Kazemi, M., Kim, J. Y., Wan, C., Xiong, J. D., Michalak, J., Xavier, I. B., Ganga, K., Tay, C. T., Grieger, J. A., Parry, S. A., et al. (2022) · Human Reproduction Update · doi:10.1093/humupd/dmac023 · Cited by 89
Stenholm, S., Kronholm, E., Bandinelli, S., Guralnik, J. M., & Ferrucci, L. (2011) · Sleep · doi:10.5665/sleep.1402 · Cited by 88
Ceresini, G., Ceda, G. P., Lauretani, F., Maggio, M., Usberti, E., Marina, M., Bandinelli, S., Guralnik, J. M., Valenti, G., & Ferrucci, L. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12267 · Cited by 67
Vitale, M., Masulli, M., Rivellese, A. A., Babini, A. C., Boemi, M., Bonora, E., Buzzetti, R., Ciano, O., Cignarelli, M., Cigolini, M., et al. (2016) · European Journal of Nutrition · doi:10.1007/s00394-015-0983-1 · Cited by 60
on behalf of the TOSCA.IT Study Group, Vitale, M., Masulli, M., Rivellese, A. A., Bonora, E., Cappellini, F., Nicolucci, A., Squatrito, S., Antenucci, D., Barrea, A., et al. (2018) · European Journal of Nutrition · doi:10.1007/s00394-016-1355-1 · Cited by 56
Chiu, T. H., Huang, H.-Y., Chen, K.-J., Wu, Y.-R., Chiu, J. P., Li, Y.-H., Chiu, B. C.-H., Lin, C.-L., & Lin, M.-N. (2014) · Public Health Nutrition · doi:10.1017/s1368980013001560 · Cited by 47
Mild thyroid hormone excess is associated with a decreased physical function in elderly men
Ceresini, G., Ceda, G. P., Lauretani, F., Maggio, M., Bandinelli, S., Guralnik, J. M., Cappola, A. R., Usberti, E., Morganti, S., Valenti, G., et al. (2011) · The Aging Male · doi:10.3109/13685538.2011.606514 · Cited by 41
Bartali, B., Benvenuti, E., Corsi, A. M., Bandinelli, S., Russo, C. R., Di Iorio, A., Lauretani, F., & Ferrucci, L. (2002) · Sozial- und Präventivmedizin¶Social and Preventive Medicine¶Médecine social et préventive · doi:10.1007/pl00012644 · Cited by 37
The effects of educational intervention on nutritional behaviour in alcohol-dependent patients
Barbadoro, P., Ponzio, E., Pertosa, M. E., Aliotta, F., D'Errico, M. M., Prospero, E., & Minelli, A. (2011) · Alcohol and Alcoholism · doi:10.1093/alcalc/agq075 · Cited by 23
Gnagnarella, P., Dragà, D., Baggi, F., Simoncini, M. C., Sabbatini, A., Mazzocco, K., Bassi, F. D., Pravettoni, G., & Maisonneuve, P. (2016) · Trials · doi:10.1186/s13063-016-1487-x · Cited by 22
Determination of new biomarkers to monitor the dietary consumption of isothiocyanates
Kumar, A., Vineis, P., Sacerdote, C., Fiorini, L., & Sabbioni, G. (2010) · Biomarkers · doi:10.3109/1354750x.2010.517567 · Cited by 19
Metadata
- Authors
- Pisani, P.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1997-02-01
- Volume
- 26
- Issue
- 90001
- Pages
- 152S-160
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2117762755
- Cited by
- 470
- References
- 0
- FWCI
- 7.90
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.