Statistical Methods for Estimating Usual Intake of Nutrients and Foods: A Review of the Theory

Dodd, Kevin W.; Guenther, Patricia M.; Freedman, Laurence S.; Subar, Amy F.; Kipnis, Victor; Midthune, Douglas; Tooze, Janet A.; Krebs‐Smith, Susan M.

doi:10.1016/j.jada.2006.07.011

Cited by 585 publications

(548 citation statements)

References 16 publications

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“…Estimating usual iron intake in the pre-and post-fortification periods Due to day-to-day variation (within-person random error), nutrient intake distributions based on one or a few collection-days of 24HR provide biased estimations of percentiles of intake and consequently biased estimations of the prevalence of inadequacy (11) . The use of methods to remove within-person variance and estimate usual nutrient intake is widely recommended and has been implemented in several studies worldwide.…”

Section: Data Collection and Processingmentioning

confidence: 99%

Brazilians’ experiences with iron fortification: evidence of effectiveness for reducing inadequate iron intakes with fortified flour policy

Vieira

Steluti

Verly

et al. 2016

Public Health Nutr.

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Section: Data Collection and Processingmentioning

confidence: 99%

Brazilians’ experiences with iron fortification: evidence of effectiveness for reducing inadequate iron intakes with fortified flour policy

Vieira

Steluti

Verly

et al. 2016

Public Health Nutr.

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“…In the absence of alternative data, the national data are sometimes used as default inputs for estimating pesticide intakes for geographic cohorts (Buck et al, 2001) or for estimating chronic dietary exposures (Shurdut et al, 1998;Harris and Gaston 2004). Some researchers have even developed statistical methods for estimating longer-term intakes using the national data (Dodd et al, 2006). Although using national survey data may be a reasonable first step, especially given the time and expense of collecting additional diet data, care must be taken to acknowledge and define the potential underor overestimation of intakes that could result.…”

Section: Introductionmentioning

confidence: 99%

Comparison of food consumption frequencies among NHANES and CPES children: Implications for dietary pesticide exposure and risk assessment

Riederer

Pearson

2009

J Expo Sci Environ Epidemiol

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Exposure Study (CPES) to illustrate the magnitude of potential error introduced by using national-scale, cross-sectional data to estimate the consumption frequencies for smaller cohorts. We focused on foods commonly consumed by children in the target CPES age and income group (3-11 years; annual household income 4$75,000) and foods likely to contain organophosphorus or pyrethroid pesticide residues. We defined ''percent eaters'' as the percentage of study participants who reported eating a particular food in a 24-h period. We computed the weighted percent eaters and 95% confidence limits (CL) for the target age/income group using the NHANES 24-h dietary recall data and compared these with the CPES percent eaters by sampling day and season. For certain foods, particularly the seasonally available produce (for example, apples, peaches/nectarines, melon, grapes, pears, strawberries), soy milk, and peanut butter, the CPES percent eaters fell outside the NHANES 95% CLs on many sampling days. For other foods (for example, orange juice and cow's milk), differences were not readily apparent. Although the differences we observed for certain foods may be, in part, because of measurement error, they also likely reflect seasonal and geographic patterns among the CPES data that the public release NHANES data do not capture. Using NHANES data to estimate pesticide intakes from strawberries, for example, may underestimate the exposure of the CPES children, as significantly more CPES than NHANES children ate strawberries on many sampling days. For other sampling days or other foods, overestimation is also possible.

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“…The multiple-day, multiple-pass, 24-h dietary recall method was chosen for the current study. Compared with single-day 24-h recalls, multiple-day food intake records (food diaries) and weighed food records, this method of dietary data collection is currently accepted as a more accurate measurement of true intake among respondents (Bingham, 1991;Bingham et al, 1994;Beaton et al, 1997;Hebert et al, 1997;Vuckovic et al, 2000;Dodd et al, 2006), particularly if the day and time of the recall is unannounced (Johnson, 2002).…”

Section: Introductionmentioning

confidence: 99%

Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults

et al. 2007

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Objective: To determine the minimum number of days of dietary intake interviews required to reduce the effects of random error (day-to-day variability in dietary intake) when using the multiple-pass, multiple-day, 24-h recall method. Design: Cross-sectional study. Setting: University research department. Subjects: A total of 50 healthy non-smoking overweight and obese (body mass index ¼ 26-40 kg/m 2 ) adult men and women aged 39-45 years completed the study. Participants were randomly selected from volunteers for a larger unrelated study. Interventions: Each participant completed 10, multiple-pass, 24-h recall interviews on randomly chosen days over 4 weeks. The minimum number of record days was determined for each macronutrient (carbohydrate, fat, protein) and energy, for each gender, to obtain a 'true' (unobservable) representative intake from reported (observed) dietary intakes. Results: The greatest number of days required to obtain a 'true' representative intake was 8 days. Carbohydrate intakes required the greatest number of days of dietary record among males (7 days), whereas protein required the greatest number of days among females (8 days) in this cohort. Sunday was the day of the week that showed greatest variability in macronutrient intakes. Protein (Po0.05) and fat (Po0.001) intakes were significantly more variable than carbohydrate on Sundays compared with weekdays, for both men and women. Conclusion: A logistically achievable 8 days of dietary intake interviews was sufficient to minimize the effect of random error when using the multiple-pass, 24-h recall dietary intake method. Sunday should be included among the dietary interview days to ensure a 'true' representation of macronutrient intakes. This method can be confidently applied to small cohort studies in which dietary intakes from different groups are to be compared or to investigations of associations between nutrient intakes and disease.

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Statistical Methods for Estimating Usual Intake of Nutrients and Foods: A Review of the Theory

Cited by 585 publications

References 16 publications

Brazilians’ experiences with iron fortification: evidence of effectiveness for reducing inadequate iron intakes with fortified flour policy

Brazilians’ experiences with iron fortification: evidence of effectiveness for reducing inadequate iron intakes with fortified flour policy

Comparison of food consumption frequencies among NHANES and CPES children: Implications for dietary pesticide exposure and risk assessment

Minimizing random error in dietary intakes assessed by 24-h recall, in overweight and obese adults

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