The USDA automated multiple-pass method accurately estimates group total energy and nutrient intake

Journal of Nutrition

Volumn 136, Issue 10, 2006, Pages 2594-2599

  Blanton, Cynthia A ^a   Moshfegh, Alanna J ^b   Baer, David J ^c   Kretsch, Mary J ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c BELTSVILLE HUMAN NUTRITION RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TRACE ELEMENT;

ADULT; ARTICLE; CALORIC INTAKE; CONTROLLED STUDY; CORRELATION COEFFICIENT; DEPRESSION; DOUBLY LABELED WATER TECHNIQUE; EATING HABIT; ENERGY EXPENDITURE; EPIDEMIC; FEMALE; HEALTH CARE ORGANIZATION; HEALTH SURVEY; HUMAN; HUNGER; MACRONUTRIENT; NUTRIENT UPTAKE; NUTRITIONAL ASSESSMENT; OBESITY; PREMENOPAUSE; QUESTIONNAIRE;

EID: 33749494517     PISSN: 00223166     EISSN: 15416100     Source Type: Journal    
DOI: 10.1093/jn/136.10.2594     Document Type: Article

References (49)

1. Kretsch MJ, Fong AK. Validation of a new computerized technique for quantitating individual dietary intake: the Nutrition Evaluation Scale System (NESSy) vs the weighed food record. Am J Clin Nutr. 1990;51:477-84.
2. Weiss R, Fong AK, Kretsch MJ. Adapting Pro Nutra to interactively track food weights from an electronic scale using ProNESSy. J Food Compos Anal. 2003;16:305-11.
3. Tsang MW, Mok M, Kam G, Jung M, Tang A, Chan U, Chu CM, Li I, Chan J. Improvement in diabetes control with a monitoring system based on a hand-held, touch-screen electronic diary. J Telemed Telecare. 2001;7:47-50.
4. Bliss RM. Researchers produce innovation in dietary recall. Agric Res. 2004;52:10-12.
5. Bakker I, Twisk JW, van Mechelen W, Mensink GB, Kemper HC. Computerization of a dietary history interview in a running cohort; evaluation within the Amsterdam Growth and Health Longitudinal Study. Eur J Clin Nutr. 2003;57:394-404.
6. National Cancer Institute Risk Factor Monitoring and Methods Branch. Applied Research Program, Division of Cancer Control & Population Sciences; http://riskfactor.cancer.gov/DHQ/index.html.
7. Probst YC, Tapsell LC. Overview of computerized dietary assessment programs for research and practice in nutrition education. J Nutr Educ Behav. 2005;37:20-6.
8. NHANES, National Health and Nutrition Examination Survey [homepage on the Internet]. Available from: www.cdc.gov/nchs/about/major/nhanes/growthcharts/ charts.htm.
9. What We Eat in America [homepage in the Internet]. Available from: www.ars.usda.gov/Services/docs.htm?docid=9098
10. Tippet K, Cypel Y, editors. Design and operation: continuing survey of food intakes by individuals and the Diet and Health Knowledge Survey 1994-96. Nationwide Food Surveys Report 96-1 [monograph on the Internet]. USDA, Agricultural Research Service; 1998. Available from: http://www.barc.usda.gov/ bhnrc/foodsurvey/pdf/Dor9496.pdf.
11. Subar AF, Kipnis V, Troiano RP, Midthune D, Schoeller DA, Bingham S, Sharbaugh CO, Trabulsi J, Runswick S, et al. Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003;158:1-13.
12. Conway JM, Ingwersen LA, Moshfegh AJ. Accuracy of dietary recall using the USDA five-step multiple-pass method in men: an observational validation study. J Am Diet Assoc. 2004;104:595-603.
13. Conway JM, Ingwersen LA, Vinyard BT, Moshfegh AJ. Effectiveness of the US Department of Agriculture 5-step multiple-pass method in assessing food intake in obese and nonobese women. Am J Clin Nutr. 2003;77:1171-8.
14. McBride J. Was it a slab, a slice, or a sliver?: High-tech innovations take food survey to new level. Agric Res. 2001;49:4-7.
15. Block G, Hartman AM, Dresser CM, Carroll MD, Gannon J, Gardner L. A data-based approach to diet questionnaire design and testing. Am J Epidemiol. 1986;124:453-69.
16. Johansson L, Solvoll K, Bjorneboe GE, Drevon CA. Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample. Am J Clin Nutr. 1998;68:266-74.
17. Novotny JA, Rumpler WV, Riddick H, Hebert JR, Rhodes D, Judd JT, Baer DJ, McDowell M, Briefel R. Personality characteristics as predictors of underreporting of energy intake on 24-hour dietary recall interviews. J Am Diet Assoc. 2003;103:1146-51.
18. Marks GC, Hughes MC, van der Pols JC. Relative validity of food intake estimates using a food frequency questionnaire is associated with sex, age, and other personal characteristics. J Nutr. 2006;136:459-65.
19. Fong AK, Kretsch MJ. Changes in dietary intake, urinary nitrogen, and urinary volume across the menstrual cycle. Am J Clin Nutr. 1993;57:43-6.
20. Webb P. 24-hour energy expenditure and the menstrual cycle. Am J Clin Nutr. 1986;44:614-9.
21. Baecke JA, Burema J, Fritters ER. A short questionnaire for the measurement of habitual physical activity in epidemiological studies. Am J Clin Nutr. 1982;36:936-42.
22. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry. 1961;4:561-71.
23. Spielberger CD, Gorsuch RL, Luschene R, Vagg PR, Jacobs GA. Manual for the state-trait anxiety inventory. Palo Alto (CA): Consulting Psychologists Press; 1983.
24. Garner DM, Garfinkel PE. The Eating Attitudes Test: an index of the symptoms of anorexia nervosa. Psychol Med. 1979;9:273-9.
25. Garner DM. Eating Disorder Inventory-2 professional manual. Odessa (FL): Psychological Assessment Resources; 1991.
26. Stunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res. 1985;29:71-83.
27. Schoeller DA. Measurement of energy expenditure in free-living humans by using doubly labeled water. J Nutr. 1988;118:1278-89.
28. Racette SB, Schoeller DA, Luke AH, Shay K, Hnilicka J, Kushner RF. Relative dilution spaces of 2H- and 18O-labeled water in humans. Am J Physiol. 1994;267:E585-90.
29. Black AE, Prentice AM, Coward WA. Use of food quotients to predict respiratory quotients for the doubly-labelled water method of measuring energy expenditure. Hum Nutr Clin Nutr. 1986;40:381-91.
30. Raper N, Perloff B, Ingwersen LA, Steinfeldt L, Anand J. An overview of USDA's Dietary Intake Data System. J Food Compos Anal. 2004;17:545-55.
31. USDA Food and Nutrient Database for Dietary Studies [database on the Internet]. Beltsville (MD): Agricultural Research Service, Food Surveys Research Group. 2004, 1.0 ed. [cited 2004]. Available from: www.ars.90usda.gov/Services/ docs.htm?docid=7673
32. Nutrition Quest [homepage on the Internet]. Version 98.2. Available from: http://www.nutritionquest.com.
33. Subar AF, Midthune D, Kulldorff M, Brown CC, Thompson FE, Kipnis V, Schatzkin A. Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires. Am J Epidemiol. 2000;152:279-86.
34. Crowne DP, Marlowe D. A new scale of social desirability independent of psychopathology. J Consult Psychol. 1960;24:349-54.
35. Beck AT, Steer RA, Brown GK. BDI-II manual. San Antonio (TX): The Psychological Corporation Harcourt Brace & Company; 1996.
36. Stunkard AJ, Messick S. Eating inventory manual. San Antonio (TX): The Psychological Corporation Harcourt Brace & Company; 1988.
37. Box GEP, Hunter WG, Hunter JS. Statistics for experimenters: an introduction to design, data analysis, and model building. New York: Wiley; 1978.
38. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-10.
39. Scagliusi FB, Polacow VO, Artioli GG, Benatti FB, Lancha AH Jr. Selective underreporting of energy intake in women: magnitude, determinants, and effect of training. J Am Diet Assoc. 2003;103:1306-13.
40. Black AE, Cole TJ. Biased over- or under-reporting is characteristic of individuals whether over time or by different assessment methods. J Am Diet Assoc. 2001;101:70-80.
41. Mahabir S, Baer DJ, Giffen C, Subar A, Campbell W, Hartman TJ, Clevidence B, Albanes D, Taylor PR. Calorie intake misreporting by diet record and food frequency questionnaire compared to doubly labeled water among postmenopausal women. Eur J Clin Nutr. 2006;60:561-5.
42. Paul DR, Rhodes DG, Kramer M, Baer DJ, Rumpler WV. Validation of a food frequency questionnaire by direct measurement of habitual ad libitum food intake. Am J Epidemiol. 2005;162:806-14.
43. Ambrosini GL, Mackerras D, de Klerk NH, Musk AW. Comparison of an Australian food-frequency questionnaire with diet records: implications for nutrition surveillance. Public Health Nutr. 2003;6:415-22.
44. Block G. Invited commentary: another perspective on food frequency questionnaires. Am J Epidemiol. 2001;154:1103-4.
45. Goris AH, Meijer EP, Westerterp KR. Repeated measurement of habitual food intake increases under-reporting and induces selective under-reporting. Br J Nutr. 2001;85:629-34.
46. Goris AH, Westerterp-Plantenga MS, Westerterp KR. Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr. 2000;71:130-4.
47. Institute of Medicine. Dietary reference intakes. applications in dietary assessment. Washington: National Academy Press; 2000.
48. Horner NK, Patterson RE, Neuhouser ML, Lampe JW, Beresford SA, Prentice RL. Participant characteristics associated with errors in self-reported energy intake from the Women's Health Initiative food-frequency questionnaire. Am J Clin Nutr. 2002;76:766-73.
49. Taren DL, Tobar M, Hill A, Howell W, Shisslak C, Bell I, Ritenbaugh C. The association of energy intake bias with psychological scores of women. Eur J Clin Nutr. 1999;53:570-8.