M Boaz1, S Smetana. 1. Department of Nutrition, E. Wolfson Medical Center, Holon, Israel.
Abstract
OBJECTIVE: To develop a predictive equation for dietary phosphorus intake. DESIGN: In this clinic-based, cross-sectional study, a dietitian-administered food frequency questionnaire provided dietary intake estimates for a population of patients with chronic renal failure. A prediction equation for dietary phosphorus intake was developed and was validated on another sample of patients with CRF from the same clinic. SUBJECTS: Outpatients treated for chronic renal failure at the E. Wolfson Medical Center Institute of Nephrology in Holon, Israel, participated in the study (N = 104, 73 men and 31 women, mean age = 65.6 years). The validation sample consisted of 53 outpatients with chronic renal failure (38 men and 15 women, mean age = 64.2 years) from the same clinic. MAIN OUTCOME MEASURES: Dietary variables (ie, energy, protein, carbohydrate, fat, phosphorus) were examined in terms of crude intake, as percentage of total energy intake, and per kilogram of body weight. STATISTICAL ANALYSES PERFORMED: Stepwise linear regression analysis and Student's t tests were used to examine relationships between dietary phosphorus and other variables. RESULTS: Dietary phosphorus (milligrams) = 128 + 14 (protein intake [grams]) was the best-fitting equation and explained 84% of the variance in dietary phosphorus intake. APPLICATIONS: The prediction equation for dietary phosphorus intake is especially useful for renal dietitians who calculate patient diets by hand.
OBJECTIVE: To develop a predictive equation for dietary phosphorus intake. DESIGN: In this clinic-based, cross-sectional study, a dietitian-administered food frequency questionnaire provided dietary intake estimates for a population of patients with chronic renal failure. A prediction equation for dietary phosphorus intake was developed and was validated on another sample of patients with CRF from the same clinic. SUBJECTS: Outpatients treated for chronic renal failure at the E. Wolfson Medical Center Institute of Nephrology in Holon, Israel, participated in the study (N = 104, 73 men and 31 women, mean age = 65.6 years). The validation sample consisted of 53 outpatients with chronic renal failure (38 men and 15 women, mean age = 64.2 years) from the same clinic. MAIN OUTCOME MEASURES: Dietary variables (ie, energy, protein, carbohydrate, fat, phosphorus) were examined in terms of crude intake, as percentage of total energy intake, and per kilogram of body weight. STATISTICAL ANALYSES PERFORMED: Stepwise linear regression analysis and Student's t tests were used to examine relationships between dietary phosphorus and other variables. RESULTS: Dietary phosphorus (milligrams) = 128 + 14 (protein intake [grams]) was the best-fitting equation and explained 84% of the variance in dietary phosphorus intake. APPLICATIONS: The prediction equation for dietary phosphorus intake is especially useful for renal dietitians who calculate patient diets by hand.
Authors: George A Kaysen; Brett Larive; Patricia Painter; Alexander Craig; Robert M Lindsay; Michael V Rocco; John T Daugirdas; Gerald Schulman; Glenn M Chertow Journal: Am J Kidney Dis Date: 2011-01 Impact factor: 8.860
Authors: David E St-Jules; Kathleen Woolf; Mary Lou Pompeii; Kamyar Kalantar-Zadeh; Mary Ann Sevick Journal: J Ren Nutr Date: 2016-02-09 Impact factor: 3.655