The number of 24 h dietary recalls using the US Department of Agriculture's automated multiple-pass method required to estimate nutrient intake in overweight and XXXX adults.

@entity1 @entity28
OBJECTIVE: To determine the number of 24 h dietary recalls required to adequately estimate nutrient intake in overweight and @entity28 adults using the US Department of Agriculture's (USDA) automated multiple-pass method (AMPM). In addition, the study quantified sources of variation in dietary intake, such as day of the week, season, sequence of diet interviews (training effect), diet interviewer, body weight and within- and between-subject variances in the intake of selected nutrients. DESIGN: Adults having a BMI of >=  28 but <38 kg/m2 were included in the study. The USDA's AMPM was used to obtain 24 h dietary recalls every 10 d for 6 months. Dietary intake data were analysed to adequately estimate the number of 24 h recalls necessary to assess nutrient intake. Variance component estimates were made by using a mixed-model procedure. SETTING: The greater Washington, DC, metropolitan area. SUBJECTS: Adults (34 @entity1 and 39 @entity1 ) aged 35-65 years. RESULTS: Overweight and @entity28 adults completed fourteen 24 h dietary recalls. Utilizing within- and between-subject variances requires 5-10 and 12-15 d of 24 h dietary recalls in @entity1 and @entity1 , respectively, to estimate energy and macronutrient intakes in a 6-month period. Within- and between-subject variances were the major contributors to variance in nutrient intakes. Day of the week, season, sequence, diet interviewer and body weight had little impact on variance. CONCLUSIONS: This information is valuable for researchers planning to conduct studies on free-living individuals that include the collection of dietary intake data.
