Identifying sources of reporting error using measured food intake

Rumpler, William V.; Kramer, Matthew; Rhodes, Donna; Moshfegh, Alanna; Paul, David R.

doi:10.1038/sj.ejcn.1602742

Cited by 85 publications

(63 citation statements)

References 20 publications

(24 reference statements)

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“…In contrast, mean energy obtained from 2 different food-frequency questionnaires (FFQ) significantly underestimated TEE, by Ȃ27% on each FFQ. Similar results were reported by Rumpler et al (11) in a sample of 12 normal-weight men; mean EI collected by the AMPM did not differ significantly from measured food intake. However, energy was underreported by 22% on an FFQ in this same sample (27).…”

Section: Validity Of the Automated Multiple-pass Methods For Assessingsupporting

confidence: 79%

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The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

Moshfegh

Rhodes

Baer

et al. 2008

The American Journal of Clinical Nutrition

1,505

1,194

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Objective: The accuracy of the AMPM was evaluated by comparing reported energy intake (EI) with total energy expenditure (TEE) by using the doubly labeled water (DLW) technique. Design: The 524 volunteers, aged 30 -69 y, included an equal number of men and women recruited from the Washington, DC, area. Each subject was dosed with DLW on the first day of the 2-wk study period; three 24-h recalls were collected during the 2-wk period by using the AMPM. The first recall was conducted in person, and subsequent recalls were over the telephone. Results: Overall, the subjects underreported EI by 11% compared with TEE. Normal-weight subjects [body mass index (in kg/m 2 ) 25] underreported EI by 3%. By using a linear mixed model, 95% CIs were determined for the ratio of EI to TEE. Approximately 78% of men and 74% of women were classified as acceptable energy reporters (within 95% CI of EI:TEE). Both the percentage by which energy was underreported and the percentage of subjects classified as low energy reporters (95% CI of EI:TEE) were highest for subjects classified as obese (body mass index 30). Conclusions: Although the AMPM accurately reported EIs in normal-weight subjects, research is warranted to enhance its accuracy in overweight and obese persons.Am J Clin Nutr 2008;88: 324 -32.

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Section: Validity Of the Automated Multiple-pass Methods For Assessingsupporting

confidence: 79%

“…In recent studies using the AMPM, mean energy intake (EI) was accurately reported for small groups of normal-weight men (11) and women (12).…”

Section: Introductionmentioning

confidence: 99%

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

Moshfegh

Rhodes

Baer

et al. 2008

The American Journal of Clinical Nutrition

1,505

1,194

View full text Add to dashboard Cite

show abstract

“…Thus, it is possible that our absolute estimates of total 24-h beverage energy consumed were lower than true intakes. Proportional intake may also have been underestimated, because sweetened beverages, in particular, may have been underreported because of the possible social undesirability of their consumption and poor recall of consumption frequency and volume (62)(63)(64).…”

Section: Discussionmentioning

confidence: 99%

Association of food form with self-reported 24-h energy intake and meal patterns in US adults: NHANES 2003–2008

Kant¹,

Graubard²,

Mattes³

2012

The American Journal of Clinical Nutrition

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Background: Laboratory studies suggest that food form (beverages compared with solid foods) evokes behavioral and physiologic responses that modify short-term appetite and food intake. Beverage energy may be less satiating and poorly compensated, which leads to higher energy intake. Objective: We examined associations between 24-h energy consumed in beverages and a variety of meal and dietary attributes to quantify the contribution of beverage consumption to the energy content of diets in free-living individuals consuming their selfselected diets. Design: We used dietary recall data for adults (n = 13,704) in NHANES 2003NHANES -2008 to examine the multiple covariate-adjusted associations between 24-h energy from beverages and nonbeverages and associations between beverage intake, eating behaviors, and the energy density of beverage and nonbeverage foods. Results: In the highest tertile of 24-h beverage energy intake, beverages provided .30% of energy. Total 24-h energy and nonbeverage energy consumption and energy density (kcal/g) of both beverage and nonbeverage foods increased with increasing energy from beverages (P , 0.0001). With increasing 24-h beverage energy consumption, the reported frequency of all, snack, and beverage-only ingestive episodes and length of the ingestive period increased, whereas the percentage of energy from main meals decreased (P , 0.0001). Conclusions: Higher 24-h beverage energy intake was related to higher energy intake from nonbeverage foods, quality of food selections, and distribution of 24-h energy into main meal and snack episodes. Moderation of beverage-only ingestive episodes and curtailing the length of the ingestion period may hold potential to lower uncompensated beverage energy consumption in the US population.Am J Clin Nutr 2012;96:1369-78.

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“…Many studies point athlete of different modalities [25][26][27][28], as well as the general population [29], use to misreport the energy intake in order to describe practices similar to their pairs. For instance, obese people tend to report energy intake similar to non-obese people [30], and athletes tend to report values similar to non-athletes [31].…”

Section: Discussionmentioning

confidence: 99%

Dietary Practices and Anthropometric Profile of Professional Male Surfers

Ribeiro¹,

Freitas²,

Pereira³

et al. 2015

JSS

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Aims: To identify dietary practices together with anthropometric variables of a group of professional surfers. Subjects: Participants of a National Surf Championship in Brazil. Evaluations: (1) Anthropometric measures, indexes and calculations (body mass, height, arm span, body circumferences and nine skinfold thicknesses, arm spam/height ratio, waist-to-hip-ratio, conicity index and % body fat); (2) One 24h food-recall, describing all the food and drinks consumed at the previous day, and analyzed for energy, macro-nutrients, some micro-nutrients and food groups. The values were compared with some references and position statements and with the Brazilian Food Guide; (3) The basal and daily energy expenditure was estimated from specific equations; the energy intake was estimated from the information on diet and the energy balance was estimated from the difference between these values. Main results: The intake of carbohydrate is below the position statements (2.5-9.7g/kg and 6-10g/kg body weight, respectively). Possibly the intake of supplements such as maltodextrin fulfilled the requirements (30.3% of the athletes referred the intake of this supplement); The intake of BCAA (Branched-Chain Amino Acids) showed to be high (24.2% of the athletes); The low intake of vegetables possibly contributes to the low intake of micronutrients (0.0-6.0 servings, against the recommendation of 4-5 servings); The high intake of fried food (added lipid = 0.0-5.9 servings, against the recommendation of 1.0-2.0 servings) overlapped healthy habits such as beans and nuts consumption (0.0-13.6 servings against the recommendation of 1.0 serving); The percentage of body fat seems to be similar to swimmers (around 12% of body weight). As a conclusion, the dietary practices of surfers in the day prior a competition need to be improved, especially with respect to carbohydrates and lipids. The balance between energy intake and energy expenditure needs to be investigated more deeply. Studies investigating the role of certain amino acids supplement, such as BCAA, in surf practice could allow a better interpretation of this practice.

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Identifying sources of reporting error using measured food intake

Cited by 85 publications

References 20 publications

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes

Association of food form with self-reported 24-h energy intake and meal patterns in US adults: NHANES 2003–2008

Dietary Practices and Anthropometric Profile of Professional Male Surfers

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