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  • Ferrari, P. (author)

A bivariate measurement error model for nitrogen and potassium intakes to evaluate the performance of regression calibration in the European Prospective Investigation into Cancer and Nutrition study

  • Article/chapterEnglish2009

Publisher, publication year, extent ...

  • 2009-11-04
  • Springer Science and Business Media LLC,2009

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:8e93b32c-f1bb-487a-bf31-e4e66fb6ee44
  • https://lup.lub.lu.se/record/1520516URI
  • https://doi.org/10.1038/ejcn.2009.80DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-40944URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Objectives: Within the European Prospective Investigation into Cancer and Nutrition (EPIC) study, the performance of 24-h dietary recall (24-HDR) measurements as reference measurements in a linear regression calibration model is evaluated critically at the individual (within-centre) and aggregate (between-centre) levels by using unbiased estimates of urinary measurements of nitrogen and potassium intakes. Methods: Between 1995 and 1999, 1072 study subjects (59% women) from 12 EPIC centres volunteered to collect 24-h urine samples. Log-transformed questionnaire, 24-HDR and urinary measurements of nitrogen and potassium intakes were analysed in a multivariate measurement error model to estimate the validity of coefficients and error correlations in self-reported dietary measurements. In parallel, correlations between means of 24-HDR and urinary measurements were computed. Linear regression calibration models were used to estimate the regression dilution (attenuation) factors. Results: After adjustment for sex, centre, age, body mass index and height, the validity coefficients for 24-HDRs were 0.285 (95% confidence interval: 0.194, 0.367) and 0.371 (0.291, 0.446) for nitrogen and potassium intakes, respectively. The attenuation factors estimated in a linear regression calibration model were 0.368 (0.228, 0.508) for nitrogen and 0.500 (0.361, 0.639) for potassium intakes; only the former was different from the estimate obtained using urinary measurements in the measurement error model. The aggregate-level correlation coefficients between means of urinary and 24-HDR measurements were 0.838 (0.637, 0.932) and 0.756 (0.481, 0.895) for nitrogen and potassium intakes, respectively. Conclusions: This study suggests that 24-HDRs can be used as reference measurements at the individual and aggregate levels for potassium intake, whereas, for nitrogen intake, good performance is observed for between-centre calibration, but some limitations are apparent at the individual level. European Journal of Clinical Nutrition (2009) 63, S179-S187; doi: 10.1038/ejcn.2009.80

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Roddam, A. (author)
  • Fahey, M. T. (author)
  • Jenab, M. (author)
  • Bamia, C. (author)
  • Ocke, M. (author)
  • Amiano, P. (author)
  • Hjartaker, A. (author)
  • Biessy, C. (author)
  • Rinaldi, S. (author)
  • Huybrechts, I. (author)
  • Tjonneland, A. (author)
  • Dethlefsen, C. (author)
  • Niravong, M. (author)
  • Clavel-Chapelon, F. (author)
  • Linseisen, J. (author)
  • Boeing, H. (author)
  • Oikonomou, E. (author)
  • Orfanos, P. (author)
  • Palli, D. (author)
  • de Magistris, M. Santucci (author)
  • Bueno-de-Mesquita, H. B. (author)
  • Peeters, P. H. M. (author)
  • Parr, C. L. (author)
  • Braaten, T. (author)
  • Dorronsoro, M. (author)
  • Berenguer, T. (author)
  • Gullberg, BoLund University,Lunds universitet,Nutritionsepidemiologi,Forskargrupper vid Lunds universitet,Nutrition Epidemiology,Lund University Research Groups(Swepub:lu)smi-bgu (author)
  • Johansson, IUmeå universitet,Näringsforskning(Swepub:umu)injo0003 (author)
  • Welch, A. A. (author)
  • Riboli, E. (author)
  • Bingham, S. (author)
  • Slimani, N. (author)
  • NutritionsepidemiologiForskargrupper vid Lunds universitet (creator_code:org_t)

Related titles

  • In:European Journal of Clinical Nutrition: Springer Science and Business Media LLC63:4s, s. 179-1871476-56400954-3007

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