Food Consumption Surveys in the US Department of Agriculture

Tippett, Katherine S.; Enns, Cecilia Wilkinson; Moshfegh, Alanna

doi:10.1097/00017285-199901000-00007

Cited by 36 publications

(24 citation statements)

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“…An inventory of available national dietary surveys showed that the 24 h recall method is commonly used for dietary assessment (Verger et al, 2002). The 24 h recall is also used in nation-wide monitoring studies in the USA, Canada and Australia (Briefel, 1994;Tippett et al, 1999;Wright et al, 1998).…”

Section: Selecting An Appropriate Dietary Assessment Methods For Efcosummentioning

confidence: 99%

Selection of methodology to assess food intake

et al. 2002

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Objective: The aim of the EFCOSUM project was to develop a method to estimate both acute and usual consumption levels in European countries and for the sake of comparison, a common basic method for dietary assessment was needed. The method should allow a reliable comparison of the intake of relevant dietary indicators among large population groups. Design and results: The selection of methodology was based on the available literature and the expertise of the participants. To guide the selection process, decision trees containing all relevant moments of choice, alternatives and criteria for the selection of a method for food consumption measurement were developed. Considering that insight into average food and nutrient intake and their distribution in well-defined groups of individuals was important, it was decided that for the monitoring of the selected dietary indicators food consumption data should be collected at an individual level. Different methods were reviewed (24 h recall, dietary record, food frequency questionnaire, dietary history method). Conclusions: Since the 24 h recall method is applicable in large European populations of different ethnicity, has a relatively low respondent and interviewer burden, is open-ended and is cost-effective, this method can be considered as the best method for EFCOSUM to get population mean intakes and distributions for subjects aged 10 y and over in different European countries. Usual intake should be estimated by statistical modelling techniques, using two non-consecutive 24 h recalls and a food list to assess the proportion non-users for infrequently consumed foods.

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Section: Selecting An Appropriate Dietary Assessment Methods For Efcosummentioning

confidence: 99%

Selection of methodology to assess food intake

et al. 2002

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“…Tap water consumption rates used in the Meacher et al study may also be biased high, since the underlying study was conducted more than 20 years ago. The present study used tap water measurements from the NHEXAS-V database as well as tap water consumption rates from more recent surveys (CSFII 1994(CSFII -1996Tippett et al, 1999) to estimate arsenic exposure from drinking water.…”

Section: Comparisons Of Total Inorganic Arsenic Intake Predictions Wimentioning

confidence: 99%

Biologically based modeling of multimedia, multipathway, multiroute population exposures to arsenic

Georgopoulos

Wang

et al. 2007

J Expo Sci Environ Epidemiol

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This article presents an integrated, biologically based, source-to-dose assessment framework for modeling multimedia/multipathway/multiroute exposures to arsenic. Case studies demonstrating this framework are presented for three US counties (Hunderton County, NJ; Pima County, AZ; and Franklin County, OH), representing substantially different conditions of exposure. The approach taken utilizes the Modeling ENvironment for TOtal Risk studies (MENTOR) in an implementation that incorporates and extends the approach pioneered by Stochastic Human Exposure and Dose Simulation (SHEDS), in conjunction with a number of available databases, including NATA, NHEXAS, CSFII, and CHAD, and extends modeling techniques that have been developed in recent years. Model results indicate that, in most cases, the food intake pathway is the dominant contributor to total exposure and dose to arsenic. Model predictions are evaluated qualitatively by comparing distributions of predicted total arsenic amounts in urine with those derived using biomarker measurements from the NHEXAS -Region V study: the population distributions of urinary total arsenic levels calculated through MENTOR and from the NHEXAS measurements are in general qualitative agreement. Observed differences are due to various factors, such as interindividual variation in arsenic metabolism in humans, that are not fully accounted for in the current model implementation but can be incorporated in the future, in the open framework of MENTOR. The present study demonstrates that integrated source-to-dose modeling for arsenic can not only provide estimates of the relative contributions of multipathway exposure routes to the total exposure estimates, but can also estimate internal target tissue doses for speciated organic and inorganic arsenic, which can eventually be used to improve evaluation of health risks associated with exposures to arsenic from multiple sources, routes, and pathways.

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“…(b) The drinking water and beverage consumption rates are estimated by extracting survey records matching the individual's demographic characteristics. The USDA's Continuing Survey of Food Intakes by Individuals (CSFII) is the most comprehensive database with information on this issue: it contains data on the quantity of ''plain drinking water'' and various other beverages consumed by individuals on two nonconsecutive days during the period of 1994 to 1996 and 1998 (Tippett, 1999). The data used to estimate mean per capita intake rates combined 2-day dietary recall data from the survey years during which 15,128 individuals supplied 2-day intake data.…”

Section: Population-based Exposure Modeling (Pbem) For Copper Within mentioning

confidence: 99%

“…(c) Estimating the magnitude of dietary intake of copper requires the information on food consumption rates, composition of food item (recipe file), and copper residue (concentration) data in food. CSFII (Tippett, 1999) provides information on food consumption rates for the general US population. The Total Diet Study (TDS) database (Tao and Bolger, 1998;Baker et al, 2001) It is to be noted that the above steps mention specifically US databases as the sources of input information for the assessment.…”

Section: Population-based Exposure Modeling (Pbem) For Copper Within mentioning

confidence: 99%

“…However, actual measured copper concentrations in drinking water, from the NHEXAS field study, were used in the MENTOR/ SHEDS calculations for Eaton County, MI. Since both studies estimated drinking water consumption rates based on the same original data (Tippett, 1999), the differences in copper concentrations account for the discrepancy in the exposure distribution curves; it can be stated that the NRC approach significantly overestimates the contribution of the drinking water pathway for the NHEXAS Region V population considered here. …”

Section: Case Studymentioning

confidence: 99%

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Assessment of human exposure to copper: A case study using the NHEXAS database

Georgopoulos

Wang

Georgopoulos

et al. 2005

J Expo Sci Environ Epidemiol

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Copper is an essential trace element and adverse health effects can potentially be associated with both very low and very high intakes. Accurate estimates of inhalation and ingestion (food and drinking water) exposures are therefore needed in order to realistically assess any effects of the distribution of copper intakes within the general population. The work presented here demonstrates an application of a customized subset of the MENTOR/SHEDS-4M computational system (Modeling ENvironment for TOtal Risk studies, employing the Stochastic Human Exposure and Dose Simulation approach, for Multimedia, Multipathway, Multiroute exposures to Multiple co-occurring contaminants. The application utilized data from the National Human Exposure Assessment Survey (NHEXAS) for USEPA Region V as well as from a variety of other available databases. The case study, using a statistical population-based modeling framework, was performed for Eaton County, MI. The results of the simulations, aggregated for six age subgroups of the general population, suggest that food intake is the major pathway for total copper exposure, while drinking water can have significant contributions at the tail of the distribution of intakes. Specifically, it was estimated that over 80% of the county population received potential doses of copper from food that were lower than the Institute of Medicine (IOM) Recommended Dietary Allowance (RDA) value of 900 mg/day. Furthermore, the total combined potential dose from food and water was only about two times greater than the recommended value only for individuals with intakes in the range above the 99th percentile of both food and water intakes. The values were well below the upper tolerable intake value of 10,000 mg/day. The inhalation route consistently acted as only a minor contributor to the total exposure.

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Food Consumption Surveys in the US Department of Agriculture

Cited by 36 publications

References 0 publications

Selection of methodology to assess food intake

Selection of methodology to assess food intake

Biologically based modeling of multimedia, multipathway, multiroute population exposures to arsenic

Assessment of human exposure to copper: A case study using the NHEXAS database

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