BACKGROUND: We compared the validity of a semiquantitative food-frequency questionnaire in assessing intakes of macronutrients (absolute amounts and percentages of energy) by 19 subjects fed natural-food diets of known composition. In small subsets (n = 5 or 6), we also tested 3-d diet records. OBJECTIVE: The objective of this study was to investigate the efficacy of food-frequency questionnaires and diet records in subjects fed natural-food diets of known composition. DESIGN: Each subject consumed 3 different diets for >/=6 wk and self-reported his or her food intake by using a food-frequency questionnaire and a diet record. The diets varied in their chemically analyzed contents of fat (15-35% energy), saturated fat (5-14%), monounsaturated fat (5-14.5%), polyunsaturated fat (2.5-10.5%), carbohydrate (49-68%), and cholesterol (108-348 mg/d). RESULTS: The food-frequency questionnaire significantly underestimated fat, saturated fat, monounsaturated fat, and protein intakes and significantly overestimated carbohydrate intake with the high-fat diet. The percentage of energy from fat was significantly underestimated for the high-fat diet and significantly overestimated for the very-low-fat diet. Estimates from the food-frequency questionnaire differed significantly from actual intakes for fat (absolute and percentage), saturated fat (absolute and percentage), monounsaturated fat (absolute and percentage), and protein (percentage) in the high-fat diet and for polyunsaturated fat (absolute and percentage), saturated fat (percentage), fiber (absolute), and cholesterol (daily absolute; in mg/d) in the lower-fat diet. Estimates from the diet records better agreed with actual intakes than did estimates from the food-frequency questionnaire except for monounsaturated fat (absolute and percentage) in the high-fat diet and polyunsaturated fat (percentage) in the lower-fat diet and the very-low-fat diet. CONCLUSION: Our data indicated that the food-frequency questionnaire did not provide reliable estimates of absolute amounts of dietary fats or cholesterol.
BACKGROUND: We compared the validity of a semiquantitative food-frequency questionnaire in assessing intakes of macronutrients (absolute amounts and percentages of energy) by 19 subjects fed natural-food diets of known composition. In small subsets (n = 5 or 6), we also tested 3-d diet records. OBJECTIVE: The objective of this study was to investigate the efficacy of food-frequency questionnaires and diet records in subjects fed natural-food diets of known composition. DESIGN: Each subject consumed 3 different diets for >/=6 wk and self-reported his or her food intake by using a food-frequency questionnaire and a diet record. The diets varied in their chemically analyzed contents of fat (15-35% energy), saturated fat (5-14%), monounsaturated fat (5-14.5%), polyunsaturated fat (2.5-10.5%), carbohydrate (49-68%), and cholesterol (108-348 mg/d). RESULTS: The food-frequency questionnaire significantly underestimated fat, saturated fat, monounsaturated fat, and protein intakes and significantly overestimated carbohydrate intake with the high-fat diet. The percentage of energy from fat was significantly underestimated for the high-fat diet and significantly overestimated for the very-low-fat diet. Estimates from the food-frequency questionnaire differed significantly from actual intakes for fat (absolute and percentage), saturated fat (absolute and percentage), monounsaturated fat (absolute and percentage), and protein (percentage) in the high-fat diet and for polyunsaturated fat (absolute and percentage), saturated fat (percentage), fiber (absolute), and cholesterol (daily absolute; in mg/d) in the lower-fat diet. Estimates from the diet records better agreed with actual intakes than did estimates from the food-frequency questionnaire except for monounsaturated fat (absolute and percentage) in the high-fat diet and polyunsaturated fat (percentage) in the lower-fat diet and the very-low-fat diet. CONCLUSION: Our data indicated that the food-frequency questionnaire did not provide reliable estimates of absolute amounts of dietary fats or cholesterol.
Authors: Claudia L Satizabal; Cécilia Samieri; Kendra L Davis-Plourde; Barbara Voetsch; Hugo J Aparicio; Matthew P Pase; José Rafael Romero; Catherine Helmer; Ramachandran S Vasan; Carlos S Kase; Stéphanie Debette; Alexa S Beiser; Sudha Seshadri Journal: Stroke Date: 2018-12 Impact factor: 7.914
Authors: Xiu Yun Wu; Li Hui Zhuang; Wei Li; Hong Wei Guo; Jian Hua Zhang; Yan Kui Zhao; Jin Wei Hu; Qian Qian Gao; Sheng Luo; Arto Ohinmaa; Paul J Veugelers Journal: Qual Life Res Date: 2019-03-14 Impact factor: 4.147
Authors: Mark G O'Doherty; Neal D Freedman; Albert R Hollenbeck; Arthur Schatzkin; Liam J Murray; Marie M Cantwell; Christian C Abnet Journal: Int J Cancer Date: 2012-01-27 Impact factor: 7.396
Authors: Yunsheng Ma; Youfu Li; David E Chiriboga; Barbara C Olendzki; James R Hebert; Wenjun Li; Katherine Leung; Andrea R Hafner; Ira S Ockene Journal: J Am Coll Nutr Date: 2006-04 Impact factor: 3.169
Authors: Pedro Moreira; Susana Santos; Patrícia Padrão; Tânia Cordeiro; Mariana Bessa; Hugo Valente; Renata Barros; Vitor Teixeira; Vanessa Mitchell; Carla Lopes; André Moreira Journal: Int J Environ Res Public Health Date: 2010-03-17 Impact factor: 3.390