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

@article{Moshfegh2008TheUD,
  title={The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes.},
  author={A. Moshfegh and Donna Rhodes and David J Baer and Theophile Murayi and John C Clemens and William Rumpler and David R. Paul and Rhonda S Sebastian and Kevin J. Kuczynski and Linda A. Ingwersen and Robert Staples and Linda E. Cleveland},
  journal={The American journal of clinical nutrition},
  year={2008},
  volume={88 2},
  pages={
          324-32
        }
}
BACKGROUND The US Department of Agriculture Automated Multiple-Pass Method (AMPM) is used for collecting 24-h dietary recalls in What We Eat In America, the dietary interview component of the National Health and Nutrition Examination Survey. Because the data have important program and policy applications, it is essential that the validity of the method be tested. OBJECTIVE The accuracy of the AMPM was evaluated by comparing reported energy intake (EI) with total energy expenditure (TEE) by… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 44 REFERENCES

Markers of the validity of reported energy intake.

  • The Journal of nutrition
  • 2003
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Agricultural Research Service, Food Surveys Research Group

USDA Food, Nutrient Database for Dietary Studies, MD 1.0. 2004. Beltsville
  • Internet: http://www.ars.usda.gov/Services/docs.htm?docid 12082
  • 2007
VIEW 1 EXCERPT

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