Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 212

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Validity of Dietary Assessment Methods When Compared to the Method of Doubly Labeled Water: A Systematic Review in Adults

Burrows, Tracy L., Ho, Yan Yee, Rollo, Megan E., Collins, Clare E.·2019·Frontiers in Endocrinology

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fendo.2019.00850

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Research works printed but not linked: 85

  1. Afshin, 2017, Health Effects of Overweight and Obesity in 195 Countries over 25 Years, N Engl J Med., 377, 13, 10.1056/NEJMoa1614362 · DOI · Paper page
  2. Forouzanfar, 2015, Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013, Lancet., 386, 2287, 10.1016/S0140-6736(15)00128-2 · DOI · Paper page
  3. Livingstone, 2004, Issues in dietary assessment in children and adolescents, British Journal of Nutrition., 92, S213, 10.1079/BJN20041169 · DOI · Paper page
  4. Burrows, 2010, A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labelled water, J Am Diet Assoc., 110, 1501, 10.1016/j.jada.2010.07.008 · DOI · Paper page
  5. Subar, 2003, Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN Study, Am J Epidemiol., 158, 1, 10.1093/aje/kwg092 · DOI · Paper page
  6. Freedman, 2015, Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake, Am J Epidemiol., 181, 473, 10.1093/aje/kwu325 · DOI · Paper page
  7. Rollo, 2016, What are they really eating? A review on new approaches to dietary intake assessment and validation, Curr Nutr Rep., 5, 307, 10.1007/s13668-016-0182-6 · DOI
  8. Vu, 2017, Wearable food intake monitoring technologies: a comprehensive review, Computers., 6, 4, 10.3390/computers6010004 · DOI
  9. Gemming, 2015, Image-assisted dietary assessment: a systematic review of the evidence, J Acad Nutr Diet., 115, 64, 10.1016/j.jand.2014.09.015 · DOI · Paper page
  10. Harrison, 2000, Underreporting of food intake by dietary recall is not universal: a comparison of data from egyptian and american women, J Nutr., 130, 2049, 10.1093/jn/130.8.2049 · DOI
  11. Johansson, 2001, Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living, Public Health Nutr., 4, 919, 10.1079/PHN2001124 · DOI · Paper page
  12. Gersovitz, 1978, Validity of the 24-hr. dietary recall and seven-day record for group comparisons, J Am Diet Assoc., 73, 48, 10.1016/S0002-8223(21)05669-8 · DOI · Paper page
  13. Thompson, 2013, Nutrition in the Prevention and Treatment of Disease
  14. Burrows, 2019, Dietary assessment of shared plate eating: a missing link, Nutrients, 11, 789, 10.3390/nu11040789 · DOI
  15. Trabulsi, 2001, Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake, Am J Physiol Endocrinol Metab., 281, E891, 10.1152/ajpendo.2001.281.5.E891 · DOI · Paper page
  16. Livingstone, 2003, Markers of the validity of reported energy intake, J Nutr., 133, 895S, 10.1093/jn/133.3.895S · DOI · Paper page
  17. 2016, Evidence Analysis Manual: Steps in the ADA Evidence Analysis Process
  18. Thompson, 2015, The National Cancer Institute's Dietary Assessment Primer: a resource for diet research, J Acad Nutr Diet., 115, 1986, 10.1016/j.jand.2015.08.016 · DOI · Paper page
  19. Andersen, 2003, Validation of energy intake estimated from a food frequency questionnaire: a doubly labelled water study, Eur J Clin Nutr., 57, 279, 10.1038/sj.ejcn.1601519 · DOI
  20. Arab, 2011, Validity of a multipass, web-based, 24-hour self-administered recall for assessment of total energy intake in blacks and whites, Am J Epidemiol., 174, 1256, 10.1093/aje/kwr224 · DOI
  21. Barnard, 2002, Relationship of high energy expenditure and variation in dietary intake with reporting accuracy on 7 day food records and diet histories in a group of healthy adult volunteers, Eur J Clin Nutr., 56, 358, 10.1038/sj.ejcn.1601341 · DOI
  22. Bathalon, 2000, Psychological measures of eating behavior and the accuracy of 3 common dietary assessment methods in healthy postmenopausal women, Am J Clin Nutr., 71, 739, 10.1093/ajcn/71.3.739 · DOI
  23. Beasley, 2016, Biomarker-predicted sugars intake compared with self-reported measures in US Hispanics/Latinos: results from the HCHS/SOL SOLNAS study, Public Health Nutr., 19, 3256, 10.1017/S1368980016001580 · DOI
  24. Black, 1997, Validation of dietary intakes of protein and energy against 24 hour urinary N and DLW energy expenditure in middle-aged women, retired men and post-obese subjects: comparisons with validation against presumed energy requirements, Eur J Clin Nutr., 51, 405, 10.1038/sj.ejcn.1600425 · DOI
  25. Black, 2000, Validation of dietary intakes measured by diet history against 24 h urinary nitrogen excretion and energy expenditure measured by the doubly-labelled water method in middle-aged women, Br J Nutr., 83, 341, 10.1017/S0007114500000441 · DOI
  26. Blanton, 2006, The USDA automated multiple-pass method accurately estimates group total energy and nutrient intake, J Nutr., 136, 2594, 10.1093/jn/136.10.2594 · DOI · Paper page
  27. Boushey, 2017, Reported energy intake accuracy compared to doubly labeled water and usability of the mobile food record among community dwelling adults, Nutrients., 9, 22, 10.3390/nu9030312 · DOI
  28. Champagne, 2002, Energy intake and energy expenditure: a controlled study comparing dietitians and non-dietitians, J Am Diet Assoc., 102, 1428, 10.1016/S0002-8223(02)90316-0 · DOI · Paper page
  29. Christensen, 2013, Two new meal- and web-based interactive food frequency questionnaires: validation of energy and macronutrient intake, J Med Internet Res., 15, e109, 10.2196/jmir.2458 · DOI
  30. Farooqi, 2015, Assessment of energy intake in women with chronic obstructive pulmonary disease: a doubly labeled water method study, J Nutr Health Aging., 19, 518, 10.1007/s12603-014-0575-4 · DOI
  31. Fassini, 2018, Energy intake in short bowel syndrome: assessment by 24-h dietary recalls compared with the doubly labelled water method, Br J Nutr., 119, 196, 10.1017/S0007114517003373 · DOI
  32. Ferriolli, 2010, Under-reporting of food intake is frequent among Brazilian free-living older persons: a doubly labelled water study, Rapid Commun Mass Spectrom., 24, 506, 10.1002/rcm.4333 · DOI
  33. Freedman, 2004, Adjustments to improve the estimation of usual dietary intake distributions in the population, J Nutr., 134, 1836, 10.1093/jn/134.7.1836 · DOI
  34. Gemming, 2015, Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall, Br J Nutr., 113, 284, 10.1017/S0007114514003602 · DOI
  35. Hagfors, 2005, Validity of reported energy expenditure and reported intake of energy, protein, sodium and potassium in rheumatoid arthritis patients in a dietary intervention study, Eur J Clin Nutr., 59, 238, 10.1038/sj.ejcn.1602064 · DOI
  36. Hise, 2002, Validation of energy intake measurements determined from observer-recorded food records and recall methods compared with the doubly labeled water method in overweight and obese individuals, Am J Clin Nutr., 75, 263, 10.1093/ajcn/75.2.263 · DOI
  37. Howat, 1994, Validity and reliability of reported dietary intake data, J Am Diet Assoc., 94, 169, 10.1016/0002-8223(94)90242-9 · DOI
  38. Hutchesson, 2013, Can a web-based food record accurately assess energy intake in overweight and obese women? A pilot study, J Hum Nutr Diet., 26, 140, 10.1111/jhn.12094 · DOI
  39. Johnson, 1998, Literacy and body fatness are associated with underreporting of energy intake in US low-income women using the multiple-pass 24-hour recall: a doubly labeled water study, J Am Diet Assoc., 98, 1136, 10.1016/S0002-8223(98)00263-6 · DOI
  40. Kaczkowski, 2000, Four-day multimedia diet records underestimate energy needs in middle-aged and elderly women as determined by doubly-labeled water, J Nutr., 130, 802, 10.1093/jn/130.4.802 · DOI
  41. Koebnick, 2005, An easy-to-use semiquantitative food record validated for energy intake by using doubly labelled water technique, Eur J Clin Nutr., 59, 989, 10.1038/sj.ejcn.1602200 · DOI
  42. Koehler, 2010, Parallel assessment of nutrition and activity in athletes: validation against doubly labelled water, 24-h urea excretion, and indirect calorimetry, J Sports Sci., 28, 1435, 10.1080/02640414.2010.513482 · DOI
  43. Kroke, 1999, Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled water, urinary nitrogen, and repeated 24-h dietary recall methods, Am J Clin Nutr., 70, 439, 10.1093/ajcn/70.4.439 · DOI · Paper page
  44. Lins, 2016, Energy intake in socially vulnerable women living in Brazil: assessment of the accuracy of two methods of dietary intake recording using doubly labeled water, J Acad Nutr Diet., 116, 1560, 10.1016/j.jand.2016.02.023 · DOI
  45. Lissner, 2007, OPEN about obesity: recovery biomarkers, dietary reporting errors and BMI, Int J Obes., 31, 956, 10.1038/sj.ijo.0803527 · DOI
  46. Lof, 2004, Validation of energy intake by dietary recall against different methods to assess energy expenditure, J Hum Nutr Diet., 17, 471, 10.1111/j.1365-277X.2004.00554.x · DOI
  47. Lopes, 2016, Misreport of energy intake assessed with food records and 24-h recalls compared with total energy expenditure estimated with DLW, Eur J Clin Nutr., 70, 1259, 10.1038/ejcn.2016.85 · DOI
  48. Mahabir, 2006, Calorie intake misreporting by diet record and food frequency questionnaire compared to doubly labeled water among postmenopausal women, Eur J Clin Nutr., 60, 561, 10.1038/sj.ejcn.1602359 · DOI
  49. Martin, 2012, Validity of the Remote Food Photography Method (RFPM) for estimating energy and nutrient intake in near real-time, Obesity, 20, 891, 10.1038/oby.2011.344 · DOI · Paper page
  50. Martin, 1996, Comparison of energy intakes determined by food records and doubly labeled water in women participating in a dietary-intervention trial, Am J Clin Nutr., 63, 483, 10.1093/ajcn/63.4.483 · DOI
  51. Medin, 2017, The validity of a web-based FFQ assessed by doubly labelled water and multiple 24-h recalls, Br J Nutr., 118, 1106, 10.1017/S0007114517003178 · DOI
  52. McClung, 2009, Monitoring energy intake: a hand-held personal digital assistant provides accuracy comparable to written records, J Am Diet Assoc., 109, 1241, 10.1016/j.jada.2009.04.015 · DOI
  53. Moshfegh, 2008, The US department of agriculture automated multiple-pass method reduces bias in the collection of energy intakes, Am J Clin Nutr., 88, 324, 10.1093/ajcn/88.2.324 · DOI · Paper page
  54. Most, 2018, Food photography is not an accurate measure of energy intake in obese, pregnant women, J Nutr., 148, 658, 10.1093/jn/nxy009 · DOI
  55. Nybacka, 2016, Comparison of a web-based food record tool and a food-frequency questionnaire and objective validation using the doubly labelled water technique in a Swedish middle-aged population, J Nutr Sci., 5, e39, 10.1017/jns.2016.29 · DOI
  56. Okubo, 2008, Validation of self-reported energy intake by a self-administered diet history questionnaire using the doubly labeled water method in 140 Japanese adults, Eur J Clin Nutr., 62, 1343, 10.1038/sj.ejcn.1602858 · DOI
  57. Persson, 2000, Validation of a dietary record routine in geriatric patients using doubly labelled water, Eur J Clin Nutr., 54, 789, 10.1038/sj.ejcn.1601092 · DOI
  58. Pettitt, 2016, A pilot study to determine whether using a lightweight, wearable micro-camera improves dietary assessment accuracy and offers information on macronutrients and eating rate, Br J Nutr., 115, 160, 10.1017/S0007114515004262 · DOI
  59. Pfrimer, 2015, Under-reporting of food intake and body fatness in independent older people: a doubly labelled water study, Age Ageing., 44, 103, 10.1093/ageing/afu142 · DOI
  60. Ptomey, 2015, Validity of energy intake estimated by digital photography plus recall in overweight and obese young adults, J Acad Nutr Diet., 115, 1392, 10.1016/j.jand.2015.05.006 · DOI
  61. Rafamantanantsoa, 2003, The effectiveness of three-day dietary records with advanced photo system camera for measuring energy intake in Japanese men as determined by doubly labeled water technique, J Clin Biochem Nutr., 33, 33, 10.3164/jcbn.33.33 · DOI
  62. Rollo, 2015, Evaluation of a mobile phone image-based dietary assessment method in adults with Type 2 diabetes, Nutrients., 7, 4897, 10.3390/nu7064897 · DOI
  63. Rothenberg, 1998, Energy intake and expenditure: validation of a diet history by heart rate monitoring, activity diary and doubly labeled water, Eur J Clin Nutr., 52, 832, 10.1038/sj.ejcn.1600655 · DOI
  64. Sagayama, 2017, Energy requirement assessment and water turnover in Japanese college wrestlers using the doubly labeled water method, J Nutr Sci Vitaminol., 63, 141, 10.3177/jnsv.63.141 · DOI
  65. Sawaya, 1996, Evaluation of four methods for determining energy intake in young and older women: comparison with doubly labeled water measurements of total energy expenditure, Am J Clin Nutr., 63, 491, 10.1093/ajcn/63.4.491 · DOI · Paper page
  66. Scagliusi, 2008, Underreporting of energy intake in Brazilian women varies according to dietary assessment: a cross-sectional study using doubly labeled water, J Am Diet Assoc., 108, 2031, 10.1016/j.jada.2008.09.012 · DOI
  67. Schulz, 1994, Energy intake and physical activity in Pima Indians: comparison with energy expenditure measured by doubly-labeled water, Obes Res., 2, 541, 10.1002/j.1550-8528.1994.tb00103.x · DOI
  68. Shook, 2018, Energy intake derived from an energy balance equation, validated activity monitors, and dual X-ray absorptiometry can provide acceptable caloric intake data among young adults, J Nutr., 148, 490, 10.1093/jn/nxx029 · DOI
  69. Svendsen, 2006, Accuracy of food intake reporting in obese subjects with metabolic risk factors, Br J Nutr., 95, 640, 10.1079/BJN20051662 · DOI
  70. Svensson, 2014, Dietary intake assessment in women with different weight and pregnancy status using a short questionnaire, Public Health Nutr., 17, 1939, 10.1017/S1368980013003042 · DOI
  71. Tanskanen, 2009, Aerobic fitness, energy balance, and body mass index are associated with training load assessed by activity energy expenditure, Scand J Med Sci Sports., 19, 871, 10.1111/j.1600-0838.2008.00857.x · DOI
  72. Tran, 2000, In-person vs telephone-administered multiple-pass 24-hour recalls in women: validation with doubly labeled water, J Am Diet Assoc., 100, 777, 10.1016/S0002-8223(00)00227-3 · DOI
  73. Weber, 2001, Validity of self-reported energy intake in lean and obese young women, using two nutrient databases, compared with total energy expenditure assessed by doubly labeled water, Eur J Clin Nutr., 55, 940, 10.1038/sj.ejcn.1601249 · DOI
  74. Yuan, 2018, Relative validity of nutrient intakes assessed by questionnaire, 24-hour recalls, and diet records as compared with urinary recovery and plasma concentration biomarkers: findings for women, Am J Epidemiol., 187, 1051, 10.1093/aje/kwx328 · DOI · Paper page
  75. Scagliusi, 2008, Under-reporting of energy intake is more prevalent in a healthy dietary pattern cluster, Br J Nutr., 100, 1060, 10.1017/S0007114508971300 · DOI
  76. Livingstone, 1990, Simultaneous measurement of free-living energy expenditure by the doubly labeled water method and heart-rate monitoring, Am J Clin Nutr., 52, 59, 10.1093/ajcn/52.1.59 · DOI
  77. Coates, 2017, Overcoming dietary assessment challenges in low-income countries: technological solutions proposed by the International Dietary Data Expansion (INDDEX) Project, Nutrients., 9, E289, 10.3390/nu9030289 · DOI
  78. Ashman, 2017, Validation of a smartphone image-based dietary assessment method for pregnant women, Nutrients., 9, 73, 10.3390/nu9010073 · DOI
  79. Hassannejad, 2017, Automatic diet monitoring: a review of computer vision and wearable sensor-based methods, Int J Food Sci Nutr., 68, 656, 10.1080/09637486.2017.1283683 · DOI
  80. Ballard-Barbash, 1996, Contribution of dieting to the inverse association between energy intake and body mass index, Eur J Clin Nutr., 50, 98
  81. Kaaks, 1997, Biochemical markers as additional measurements in studies of the accuracy of dietary questionnaire measures : conceptual issues, Am J Clin Nutr., 65, 1232s, 10.1093/ajcn/65.4.1232S · DOI
  82. Kabagambe, 2001, Application of the method of triads to evaluate the performance of food frequency questionnaires and biomarkers as indicators of long term dietary intake, Am J Epidemiol., 154, 1126, 10.1093/aje/154.12.1126 · DOI
  83. Yokota, 2010, Applying the triads method in the validation of dietary intake using biomarkers, Cad Saúde Pública., 26, 2027, 10.1590/S0102-311X2010001100004 · DOI
  84. Subar, 2015, Addressing current criticism regarding the value of self-report dietary data, J Nutr, 145, 2639, 10.3945/jn.115.219634 · DOI · Paper page
  85. 2009, Assessment of Body Composition and Total Energy Expenditure in Humans Using Stable Isotope Techniques Human Health Series.

Cited by

See all 212

Metadata

Authors
Burrows, T. L., Ho, Y. Y., Rollo, M. E., & Collins, C. E.
Venue
Frontiers in Endocrinology
Published
2019-12-17
Volume
10
ISSN
1664-2392
Cited by
212
References
8

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Validity of Dietary Assessment Methods When Compared to the Method of Doubly Labeled Water: A Systematic Review in Adults. https://app.cochat.ai/papers/10.3389/fendo.2019.00850
The paper
Burrows, T. L., Ho, Y. Y., Rollo, M. E., & Collins, C. E. (2019). Validity of Dietary Assessment Methods When Compared to the Method of Doubly Labeled Water: A Systematic Review in Adults. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2019.00850

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.