Regression Equation Predicts Dietary Phosphorus Intake from Estimate of Dietary Protein Intake

摘要: Abstract Objective To develop a predictive equation for dietary phosphorus intake. Design In this clinic-based, cross-sectional study, dietitian-administered food frequency questionnaire provided intake estimates population of patients with chronic renal failure. A prediction was developed and validated on another sample CRF from the same clinic. Subjects Outpatients treated failure at E. Wolfson Medical Center Institute Nephrology in Holon, Israel, participated study (N=104, 73 men 31 women, mean age=65.6 years). The validation consisted 53 outpatients (38 15 age=64.2 years) Main outcome measures Dietary variables (ie, energy, protein, carbohydrate, fat, phosphorus) were examined terms crude intake, as percentage total energy per kilogram body weight. Statistical analyses performed Stepwise linear regression analysis Student's t tests used to examine relationships between other variables. Results (milligrams)=128+14 (protein [grams]) best-fitting explained 84% variance Applications is especially useful dietitians who calculate patient diets by hand. J Am Diet Assoc. 1996; 96:1268-1270 .