article Open AccessTop 1% cited

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

American Journal of Clinical Nutrition · 2008 · Vol. 88(2) · pp. 324–332

Alanna Moshfegh✉(Beltsville Human Nutrition Research Center)Donna Rhodes(Agricultural Research Service)David J. Baer(Agricultural Research Service)Theophile Murayi(Agricultural Research Service)John Clemens(Beltsville Human Nutrition Research Center)William V. Rumpler(Beltsville Human Nutrition Research Center)David R. Paul(Beltsville Human Nutrition Research Center)Rhonda Sebastian(Agricultural Research Service)Kevin Kuczynski(Beltsville Human Nutrition Research Center)Linda Ingwersen(Agricultural Research Service)R. Staples(Beltsville Human Nutrition Research Center)Linda Cleveland(Agricultural Research Service)

View via DOI Full-text PDF

Nutritional Studies and Diet Obesity, Physical Activity, Diet Diet and metabolism studiesMedicineBody mass indexDoubly labeled waterDemographyAnimal scienceNational Health and Nutrition Examination SurveyEnergy expenditureMathematicsStatisticsGerontology

MeSH terms

AdultAgedEnergy IntakeDiet SurveysEatingEnergy MetabolismFemaleHumansMaleMiddle AgedObesitySurveys and QuestionnairesMental RecallSelf DisclosureSensitivity and Specificity

Citations

1,933

FWCI

24.07

field-weighted impact

References

Percentile

100%

vs. same field & year

Citations per year

Cited by

Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study