M Severo1, C Lopes, R Lucas, H Barros. 1. Department of Hygiene and Epidemiology, University of Porto Medical School, Alameda Prof. Hernani Monteiro, Porto, Portugal. milton@med.up.pt
Abstract
UNLABELLED: The study aim was to develop a tool (software and ruler) to assess the dietary calcium and vitamin D intakes in Portugal, and evaluate the usefulness of non-dietary variables as intake predictors. Our findings indicated that is possible to estimate both using three and six food items, respectively, and non-dietary predictors. INTRODUCTION: The study aim was to develop a tool to assess the dietary calcium and vitamin D intakes in Portugal, and evaluate the usefulness of non-dietary variables as predictors. METHODS: Trained interviewers collected information of 2,414 adults of Porto, Portugal, using a structured questionnaire and a validated semi-quantitative food frequency questionnaire (FFQ). Food items with the highest contribution to the total intake and non-dietary predictors (gender, age and body mass index (BMI)) were selected for the tool. Different statistical approaches were used to predict the intake. A Bland-Altman plot compared the predictions from the tool and the full FFQ. RESULTS: The items selected to predict intake were milk (38%), cheese (12%), yogurt (10%) and gender for calcium and oily fish (39%), canned fish (9%), white fish (7%), eggs (5%), red meat (5%), age and BMI for vitamin D. The Bland-Altman plot showed that the mean differences were 0.0 (limits of agreement = [-220.67; 220.77]) mg/day and 0.0 (limits of agreement = [-1.03; 1.05]) microg/day, respectively for calcium and vitamin D. CONCLUSION: The equations estimated by the best statistical model to predict the calcium and vitamin D intake allowed for the design of a software and a circular ruler useful in clinical settings.
UNLABELLED: The study aim was to develop a tool (software and ruler) to assess the dietary calcium and vitamin D intakes in Portugal, and evaluate the usefulness of non-dietary variables as intake predictors. Our findings indicated that is possible to estimate both using three and six food items, respectively, and non-dietary predictors. INTRODUCTION: The study aim was to develop a tool to assess the dietary calcium and vitamin D intakes in Portugal, and evaluate the usefulness of non-dietary variables as predictors. METHODS: Trained interviewers collected information of 2,414 adults of Porto, Portugal, using a structured questionnaire and a validated semi-quantitative food frequency questionnaire (FFQ). Food items with the highest contribution to the total intake and non-dietary predictors (gender, age and body mass index (BMI)) were selected for the tool. Different statistical approaches were used to predict the intake. A Bland-Altman plot compared the predictions from the tool and the full FFQ. RESULTS: The items selected to predict intake were milk (38%), cheese (12%), yogurt (10%) and gender for calcium and oily fish (39%), canned fish (9%), white fish (7%), eggs (5%), red meat (5%), age and BMI for vitamin D. The Bland-Altman plot showed that the mean differences were 0.0 (limits of agreement = [-220.67; 220.77]) mg/day and 0.0 (limits of agreement = [-1.03; 1.05]) microg/day, respectively for calcium and vitamin D. CONCLUSION: The equations estimated by the best statistical model to predict the calcium and vitamin D intake allowed for the design of a software and a circular ruler useful in clinical settings.
Authors: Nancy G Sebring; Blakeley I Denkinger; Carolyn M Menzie; Lisa B Yanoff; Shamik J Parikh; Jack A Yanovski Journal: J Am Diet Assoc Date: 2007-05
Authors: S Boonen; R Rizzoli; P J Meunier; M Stone; G Nuki; U Syversen; M Lehtonen-Veromaa; P Lips; O Johnell; J-Y Reginster Journal: Osteoporos Int Date: 2004-07 Impact factor: 4.507