Abstract
Background
Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24) is a self-administered
web-based tool designed to collect detailed dietary data at low cost in observational
studies.
Objective
The objectives of this study were to describe, overall and by demographic groups,
the performance and feasibility of ASA24-2011 recalls and compare Healthy Eating Index-2015
(HEI-2015) total and component scores to 4-day food records (4DFRs) and food frequency
questionnaires (FFQs).
Design
Over 12 months, participants completed up to 6 ASA24 recalls, 2 web-based FFQs, and
2 unweighed paper-and-pencil 4DFRs. Up to 3 attempts were made to obtain each ASA24
recall. Participants were administered doubly-labeled water to provide a measure of
total energy expenditure and collected two 24-hour urine samples to assess concentrations
of nitrogen, sodium, and potassium.
Participants/setting
From January through September 2012, 1,110 adult members of AARP, 50 to 74 years of
age, were recruited from the Pittsburgh, PA, area to participate in the Interactive
Diet and Activity Tracking in AARP (IDATA) study. After excluding 33 participants
who had not completed any dietary assessments, 531 men and 546 women remained.
Main outcome measures
Response rates, nutrient intakes compared to recovery biomarkers across each ASA24
administration day, and HEI-2015 total and component scores were measured.
Statistical analyses performed
Means, medians, standard deviations, interquartile ranges, and HEI-2015 total and
component scores computed using a multivariate measurement error model are presented.
Results
Ninety-one percent of men and 86% of women completed 3 ASA24 recalls. Approximately
three-quarters completed 5 or more, higher than the completion rates for 2 4DFRs and
2 FFQs. Approximately, three-quarters of men and 70% of women completed ASA24 on the
first attempt; 1 in 5 completed it on the second. Completion rates varied slightly
by age and body mass index. Median time to complete ASA24-2011 (current version: ASA24-2020)
declined with subsequent recalls from 55 to 41 minutes in men and from 58 to 42 minutes
in women and was lowest in those younger than 60 years. Mean nutrient intakes were
similar across recalls. For each recording day, energy intakes estimated by ASA24
were lower than energy expenditure. Reported intakes for protein, potassium, and sodium
were closer to recovery biomarkers for women, but not for men. Geometric means of
reported intakes of these nutrients did not systematically vary across ASA24 administrations,
but differences between reported intakes and biomarkers differed by nutrient. Of 100
possible points, HEI-2015 total scores were nearly identical for 4DFRs and ASA24 recalls
and higher for FFQs (men: 61, 60, and 68; women: 64, 64, and 72, respectively).
Conclusions
ASA24, a freely available dietary assessment tool for use in large-scale nutrition
research, was found to be highly feasible. Similar to previously reported data for
nutrient intakes, HEI-2015 total and component scores for ASA24 recalls were comparable
to those for 4DFRs, but not FFQs.
Trial registration
Keywords
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References
- Invited commentary: The contribution to the field of nutritional epidemiology of the landmark 1985 publication by Willett et al.Am J Epidemiol. 2017; 185: 1124-1129
- Epidemiological assessment of diet: A comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium.Int J Epidemiol. 2001; 30: 309-317
- Validation of dietary assessment methods in the UK arm of EPIC using weighed records, and 24-hour urinary nitrogen and potassium and serum vitamin C and carotenoids as biomarkers.Int J Epidemiol. 1997; 26: S137-S151
- 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
- A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: Results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study.Int J Epidemiol. 2003; 32: 1054-1062
- Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.Am J Epidemiol. 2011; 174: 591-603
- Validity of a multipass, web-based, 24-hour self-administered recall for assessment of total energy intake in blacks and whites.Am J Epidemiol. 2011; 174: 1256-1265
- The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes.Am J Clin Nutr. 2008; 88: 324-332
- Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative.Am J Epidemiol. 2008; 167: 1247-1259
- Measurement error corrected sodium and potassium intake estimation using 24-hour urinary excretion.Hypertension. 2014; 63: 238-244
- Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake.Am J Epidemiol. 2014; 180: 172-188
- Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake.Am J Epidemiol. 2015; 181: 473-487
- Dealing with dietary measurement error in nutritional cohort studies.J Natl Cancer I. 2011; 103: 1086-1092
- Statistical methods for estimating usual intake of nutrients and foods: A review of the theory.J Am Diet Assoc. 2006; 106: 1640-1650
- The National Cancer Institute. Accessed June 2019.
- The Automated Self-Administered 24-Hour dietary recall (ASA24): A resource for researchers, clinicians, and educators from the National Cancer Institute.J Acad Nutr Diet. 2012; 112: 1134-1137
- Performance of the Automated Self-Administered 24-Hour Recall relative to a measure of true intakes and to an interviewer-administered 24-h recall.Am J Clin Nutr. 2014; 100: 233-240
- Comparison of interviewer-administered and automated self-administered 24-hour dietary recalls in 3 diverse integrated health systems.Am J Epidemiol. 2015; 181: 970-978
- The use of digital images in 24-hour recalls may lead to less misestimation of portion size compared with traditional interviewer-administered recalls.J Nutr. 2016; 146: 2567-2573
- Comparing reported dietary supplement intakes between two 24-hour recall methods: The automated self-administered 24-hour dietary assessment tool and the interview-administered automated multiple pass method.J Acad Nutr Diet. 2018; 118: 1080-1086
- The provision of assistance does not substantially impact the accuracy of 24-hour dietary recalls completed using the Automated Self-Administered 24-H Dietary Assessment tool among women with low incomes.J Nutr. 2019; 149: 114-122
- Validity of an online 24-h recall tool (myfood24) for dietary assessment in population studies: Comparison with biomarkers and standard interviews.BMC Med. 2018; 16: 136
- Validation of a newly automated web-based 24-hour dietary recall using fully controlled feeding studies.BMC Nutr. 2017; 3: 34
- Comparison of self-reported dietary intakes from the Automated Self-Administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.Am J Clin Nutr. 2018; 107: 80-93
- The National Cancer Institute. Accessed July 21, 2020.
- The National Cancer Institute. Accessed July 21, 2020.
- Food reporting patterns in the USDA Automated Multiple-Pass Method.Proc Food Sci. 2013; 2: 145-156
- US Department of Agriculture. Accessed July 21, 2020.
- US Department of Agriculture. Accessed July 21, 2020.
- National Center for Health Statistics. Accessed July 21, 2020.
- Accessed July 21, 2020. The National Cancer Institute.
- The National Cancer Institute. Accessed July 21, 2020.
- An overview of USDA's dietary intake data system.J Food Compos Anal. 2004; 17: 545-555
- Update of the Healthy Eating Index: HEI-2015.J Acad Nutr Diet. 2018; 118: 1591-1602
- Evaluation of the Healthy Eating Index-2015.J Acad Nutr Diet. 2018; 118: 1622-1633
- Applications of the Healthy Eating Index for Surveillance, Epidemiology, and Intervention Research: Considerations and caveats.J Acad Nutr Diet. 2018; 118: 1603-1621
- Department of Health and Human Services and the US Department of Agriculture. Accessed July 21, 2020.
- The National Cancer Institute.(Accessed July 21, 2020)
- The National Cancer Institute. Accessed July 21, 2020.
- Nutritional Epidemiology.3rd ed. Oxford University Press, New York2012
- Physical Status: The Use and Interpretation of Anthropometry: Report of a World Health Organization (WHO) Expert Committee.World Health Organization, Geneva, Switzerland1995
- Is shorter always better? Relative importance of questionnaire length and cognitive ease on response rates and data quality for two dietary questionnaires.Am J Epidemiol. 2001; 153: 404-409
- Learnability testing of a complex software application.in: Marcus A. Design, User Experience, and Usability: Novel User Experiences. DUXU 2016. Lecture Notes in Computer Science, vol 9747. Springer, Cham, Switzerland2016
- Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health-professionals.Am J Epidemiol. 1992; 135: 1114-1126
- Reproducibility and validity of dietary assessment instruments. 1. A self-administered food use questionnaire with a portion size picture booklet.Am J Epidemiol. 1988; 128: 655-666
- Relative validity and reproducibility of a food frequency questionnaire designed for French adults.Ann Nutr Metab. 2011; 57: 153-162
- Reproducibility and validity of a semiquantitative food frequency questionnaire.Am J Epidemiol. 1985; 122: 51-65
- Dietary assessment methodology.in: Coulston A. Boushey C. Ferruzzi M. Delahanty L. Nutrition in the Prevention and Treatment of Disease. 4th ed. Academic Press, Cambridge, MA2017: 5-48
- Reproducibility and validity of food-intake measurements from a semiquantitative food frequency questionnaire.J Am Diet Assoc. 1993; 93: 790-796
- Under- and overreporting of energy is related to obesity, lifestyle factors and food group intakes in Jamaican adults.Public Health Nutr. 2004; 7: 9-19
- Differences between food group reports of low-energy reporters and non-low-energy reporters on a food frequency questionnaire.J Am Diet Assoc. 2009; 109: 1194-1203
- Relative validity of a food frequency questionnaire used to assess food intake during a dietary intervention study.Nutr Cancer. 2008; 60: 603-611
- Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall.J Am Diet Assoc. 2010; 110: 55-64
- Reactivity and its association with body mass index across days on food checklists.J Acad Nutr Diet. 2012; 112: 110-118
- Monitoring dietary change in a low-fat diet intervention study: Advantages of using 24-hour dietary recalls vs food records.J Am Diet Assoc. 1996; 96: 574-579
- The effect of keeping food records on eating patterns.J Am Diet Assoc. 1998; 98: 1163-1165
- A qualitative study of participants' experiences with dietary assessment.J Am Diet Assoc. 2000; 100: 1023-1028
- Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.Am J Epidemiol. 2012; 175: 340-347
Biography
A. F. Subar is a nutritionist and program director, Division of Cancer Control and Population Sciences, Bethesda, MD.
Biography
F. E. Thompson is an epidemiologist and special volunteer, Division of Cancer Control and Population Sciences, Bethesda, MD.
Biography
K. W. Dodd is mathematical statisticians, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD.
Biography
D. Midthune is mathematical statisticians, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD.
Biography
V. Kipnis is mathematical statisticians, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD.
Biography
H. R. Bowles is an epidemiologist, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD.
Biography
N. Potischman is director, Population Studies Program, Office of Dietary Supplements, National Institutes of Health, Bethesda, MD.
Biography
D. J. Baer is a research physiologist, US Department of Agriculture, Agricultural Research Service, Beltsville, MD.
Biography
D. A. Schoeller is director, Isotope Ratio Core, Biotech Center and Nutritional Sciences, Universtiy of Wisconsin, Madison.
Biography
S. I. Kirkpatrick is a nutritionist and associate professor, University of Waterloo, Waterloo, Ontario, Canada.
Biography
B. Mittl is a project director, is nutritionists, Westat, Rockville, MD.
Biography
T. P. Zimmerman is nutritionists, Westat, Rockville, MD.
Biography
D. Douglass is nutritionists, Westat, Rockville, MD.
Biography
Y. Park is an epidemiologist and associate professor, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO.
Article Info
Publication History
Published online: August 17, 2020
Accepted:
June 9,
2020
Received:
June 25,
2019
Footnotes
STATEMENT OF POTENTIAL CONFLICT OF INTEREST No potential conflict of interest was reported by the authors.
FUNDING/SUPPORT This study and ASA24 development were funded by the NCI via contracts HHSN261201000087I , HHSN26100003 , N02-PC-64406 with contributions from the Office of Dietary Supplements, the National Heart, Lung and Blood Institute , the National Institute of Diabetes and Digestive and Kidney Diseases , the Office of Behavioral and Social Science Research , the National Institute of Child Health and Human Development , and National Institute on Alcohol Abuse and Alcoholism , and via shared instrumentation grant RR020915 to University of Wisconsin for purchase of the isotope ratio mass spectrometer used in the urine analysis.
The study is registered at ClinicalTrials.gov (https://clinicaltrials.gov), identifier: NCT03268577.
AUTHOR CONTRIBUTIONS A. F Subar, N. Potischman, K. W. Dodd, F. E. Thompson, D. Midthune, V. Kipnis, H. R. Bowles, S. I. Kirkpatrick, and Y. Park designed the study. YP, H. R. Bowles, B. Mittl, T. P. Zimmerman, and D. Douglass conducted the study and collected the data. D. J. Baer and D. A. Schoeller conducted laboratory analyses. A. F Subar, B. Mittl, T. P. Zimmerman, D. Douglass, K. W. Dodd, D. Midthune, V. Kipnis and Y. Park analyzed the data. Y. Park and A. F Subar drafted the paper and had primary responsibility for the final content. All authors participated in data interpretation, provided critical review, and commentary on the draft of the manuscript, and read and approved the final manuscript.
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© 2020 by the Academy of Nutrition and Dietetics.
