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Identifying sources of reporting error using measured food intake
- Rumpler, W.V., Kramer, M., Rhodes, D.G., Moshfegh, A.J., Paul, D.R.
- European journal of clinical nutrition 2008 v.62 no.4 pp. 544-552
- food intake, measurement, diet recall, variance, nutrient intake, nutrition assessment, men, adults
- Objective: To investigate the magnitude and relative contribution of different sources of measurement errors present in the estimation of food intake via the 24-h recall technique. Design: We applied variance decomposition methods to the difference between data obtained from the USDA's Automated Multiple Pass Method (AMPM) 24-h recall technique and measured food intake (MFI) from a 16-week cafeteria-style feeding study. The average and the variance of biases, defined as the difference between AMPM and MFI, were analyzed by macronutrient content, subject and nine categories of foods. Subjects: Twelve healthy, lean men (age, 399 year; weight, 79.98.3 kg; and BMI, 24.11.4 kg/m2). Results: Mean food intakes for AMPM and MFI were not significantly different (no overall bias), but within-subject differences for energy (EI), protein, fat and carbohydrate intakes were 14, 18, 23 and 15% of daily intake, respectively. Mass (incorrect portion size) and deletion (subject did not report foods eaten) errors were each responsible for about one-third of the total error. Vegetables constituted 8% of EI but represented >25% of the error across macronutrients, whereas grains that contributed 32% of EI contributed only 12% of the error across macronutrients. Conclusions: Although the major sources of reporting error were mass and deletion errors, individual subjects differed widely in the magnitude and types of errors they made.