Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Energy and Protein Intake

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Contributors

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INTERVAL ESTIMATES FOR CORRELATION COEFFICIENTS CORRECTED FOR WITHIN-PERSON VARIATION: IMPLICATIONS FOR STUDY DESIGN AND HYPOTHESIS TESTING

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Measurement Error and Results From Analytic Epidemiology: Dietary Fat and Breast Cancer

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Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative

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Eight Self-Administered 24-Hour Dietary Recalls Using the Internet Are Feasible in African Americans and Whites: The Energetics Study

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Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems

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Update on NHANES Dietary Data: Focus on Collection, Release, Analytical Considerations, and Uses to Inform Public Policy

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Dietary Assessment Methodology

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Energy balance measurement: when something is not better than nothing

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The healthiness and sustainability of national and global food based dietary guidelines: modelling study

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INTERMITTENT FASTING AND HUMAN METABOLIC HEALTH

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Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality

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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

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Traditional Self-Reported Dietary Instruments Are Prone to Inaccuracies and New Approaches Are Needed

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Diet, physical activity and sedentary behaviours

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Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers

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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

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The National Cancer Institute’s Dietary Assessment Primer: A Resource for Diet Research

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Applications of the Healthy Eating Index for Surveillance, Epidemiology, and Intervention Research: Considerations and Caveats

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Pooled Results From 5 Validation Studies of Dietary Self-Report Instruments Using Recovery Biomarkers for Potassium and Sodium Intake

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Nutritional Psychiatry: Where to Next?

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Development and Evaluation of the National Cancer Institute's Dietary Screener Questionnaire Scoring Algorithms

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Circulating Branched-Chain Amino Acids and Incident Cardiovascular Disease in a Prospective Cohort of US Women

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Diet influenced tooth erosion prevalence in children and adolescents: Results of a meta-analysis and meta-regression

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Coffee Drinking Is Widespread in the United States, but Usual Intake Varies by Key Demographic and Lifestyle Factors

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Perspective: Dietary Biomarkers of Intake and Exposure—Exploration with Omics Approaches

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Elevated Fat Intake Increases Body Weight and the Risk of Overweight and Obesity among Chinese Adults: 1991–2015 Trends

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Validity of an online 24-h recall tool (myfood24) for dietary assessment in population studies: comparison with biomarkers and standard interviews

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Research gaps in evaluating the relationship of meat and health

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Validity of the food frequency questionnaire for adults in nutritional epidemiological studies: A systematic review and meta-analysis

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Combining a Food Frequency Questionnaire With 24-Hour Recalls to Increase the Precision of Estimation of Usual Dietary Intakes—Evidence From the Validation Studies Pooling Project

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Interventions to reduce meat consumption by appealing to animal welfare: Meta-analysis and evidence-based recommendations

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Controversy and debate: Memory-Based Methods Paper 1: the fatal flaws of food frequency questionnaires and other memory-based dietary assessment methods

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Changes in diet quality and food security among adults during the COVID-19–related early lockdown: results from NutriQuébec

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The Maastricht FFQ: Development and validation of a comprehensive food frequency questionnaire for the Maastricht study

DONGEN, M. C. J. M. V., Wijckmans, N. E. G., den Biggelaar, L. J. C. J., Ocké, M. C., Meijboom, S., Brants, H. A. M., de Vries, J. H. M., Feskens, E. J. M., Bueno-de-Mesquita, H. B., Geelen, A., et al. (2018) · Nutrition · doi:10.1016/j.nut.2018.10.015 · Cited by 112 · see citing works

Prevalence of protein intake below recommended in community‐dwelling older adults: a meta‐analysis across cohorts from the PROMISS consortium

Hengeveld, L. M., Boer, J. M. A., Gaudreau, P., Heymans, M. W., Jagger, C., Mendonça, N., Ocké, M. C., Presse, N., Sette, S., Simonsick, E. M., et al. (2020) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12580 · Cited by 114 · see citing works

Fiber Intake Predicts Weight Loss and Dietary Adherence in Adults Consuming Calorie-Restricted Diets: The POUNDS Lost (Preventing Overweight Using Novel Dietary Strategies) Study

Miketinas, D. C., Bray, G. A., Beyl, R. A., Ryan, D. H., Sacks, F. M., & Champagne, C. M. (2019) · The Journal of Nutrition · doi:10.1093/jn/nxz117 · Cited by 99 · see citing works

Dietary biomarker evaluation in a controlled feeding study in women from the Women’s Health Initiative cohort ,

Lampe, J. W., Huang, Y., Neuhouser, M. L., Tinker, L. F., Song, X., Schoeller, D. A., Kim, S., Raftery, D., Di, C., Zheng, C., et al. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.144840 · Cited by 103 · see citing works

Eating to save the planet: Evidence from a randomized controlled trial using individual-level food purchase data

Jalil, A., Tasoff, J., & Bustamante, A. V. (2020) · Food Policy · doi:10.1016/j.foodpol.2020.101950 · Cited by 104 · see citing works

Dietary Intake and Physical Activity Assessment: Current Tools, Techniques, and Technologies for Use in Adult Populations

McClung, H. L., Ptomey, L. T., Shook, R. P., Aggarwal, A., Gorczyca, A. M., Sazonov, E. E., Becofsky, K. M., Weiss, R., & Das, S. K. (2018) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2018.06.011 · Cited by 99 · see citing works

The Role of the Bisphenol A in Diabetes and Obesity

Pérez-Bermejo, M., Mas-Pérez, I., & Murillo-Llorente, M. T. (2021) · Biomedicines · doi:10.3390/biomedicines9060666 · Cited by 98 · see citing works

Recommending flavanols and procyanidins for cardiovascular health: Revisited.

Ottaviani, J., Heiss, C., Spencer, J., Kelm, M., & Schroeter, H. (2018) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2018.02.001 · Cited by 77 · see citing works

Imbalanced insulin action in chronic over nutrition: Clinical harm, molecular mechanisms, and a way forward

Williams, K. J., & Wu, X. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.02.004 · Cited by 81 · see citing works

Household Food Insecurity Is a Stronger Marker of Adequacy of Nutrient Intakes among Canadian Compared to American Youth and Adults

Kirkpatrick, S. I., Dodd, K. W., Parsons, R., Ng, C., Garriguet, D., & Tarasuk, V. S. (2015) · Journal of Nutrition · doi:10.3945/jn.114.208579 · Cited by 78 · see citing works

Establishing Validity and Cross-Context Equivalence of Measures and Indicators

Frongillo, E. A., Baranowski, T., Subar, A. F., Tooze, J. A., & Kirkpatrick, S. I. (2018) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2018.09.005 · Cited by 76 · see citing works

Assessing the relative validity of a new, web-based, self-administered 24 h dietary recall in a French-Canadian population

Lafrenière, J., Laramée, C., Robitaille, J., Lamarche, B., & Lemieux, S. (2018) · Public Health Nutrition · doi:10.1017/s1368980018001611 · Cited by 75 · see citing works

Mindful Climate Action: Health and Environmental Co-Benefits from Mindfulness-Based Behavioral Training

Barrett, B. P., Grabow, M., Middlecamp, C., Mooney, M., Checovich, M. M., Converse, A. K., Gillespie, B., & Yates, J. (2016) · Sustainability · doi:10.3390/su8101040 · Cited by 75 · see citing works

Environmental and human health trade-offs in potential Chinese dietary shifts

Guo, Y., He, P., Searchinger, T., Chen, Y., Springmann, M., Zhou, M., Zhang, X., Zhang, L., & Mauzerall, D. L. (2022) · One Earth · doi:10.1016/j.oneear.2022.02.002 · Cited by 74 · see citing works

Cut back or give it up? The effectiveness of reduce and eliminate appeals and dynamic norm messaging to curb meat consumption

Sparkman, G., Macdonald, B. N. J., Caldwell, K., Kateman, B., & Boese, G. D. B. (2021) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2021.101592 · Cited by 73 · see citing works

Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration

Hörnell, A., Berg, C., Forsum, E., Larsson, C. L., Sonestedt, E., Åkesson, A., Lachat, C. K., Hawwash, D., Kolsteren, P. W., Byrnes, G. B., et al. (2017) · Advances in Nutrition · doi:10.3945/an.117.015941 · Cited by 73 · see citing works

A systematic review of brief dietary questionnaires suitable for clinical use in the prevention and management of obesity, cardiovascular disease and type 2 diabetes

England, C. Y., Andrews, R. C., Jago, R., & Thompson, J. L. (2015) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2015.6 · Cited by 72 · see citing works

Validity and calibration of the FFQ used in the Melbourne Collaborative Cohort Study

Bassett, J. K., English, D. R., Fahey, M. T., Forbes, A. B., Gurrin, L. C., Simpson, J. A., Brinkman, M. T., Giles, G. G., & Hodge, A. M. (2016) · Public Health Nutrition · doi:10.1017/s1368980016000690 · Cited by 71 · see citing works

What Are They Really Eating? A Review on New Approaches to Dietary Intake Assessment and Validation

Rollo, M. E., Williams, R. L., Burrows, T. L., Kirkpatrick, S. I., Bucher, T., & Collins, C. E. (2016) · Current Nutrition Reports · doi:10.1007/s13668-016-0182-6 · Cited by 71 · see citing works

Interview‐based assessment of avoidant/restrictive food intake disorder (ARFID): A pilot study evaluating an ARFID module for the Eating Disorder Examination

Schmidt, R., Kirsten, T., Hiemisch, A., Kieß, W., & Hilbert, A. (2019) · International Journal of Eating Disorders · doi:10.1002/eat.23063 · Cited by 68 · see citing works

Lessons from Studies to Evaluate an Online 24-Hour Recall for Use with Children and Adults in Canada

Kirkpatrick, S. I., Gilsing, A., Hobin, E. P., Solbak, N. M., Wallace, A., Haines, J., Mayhew, A., Orr, S. K., Raina, P. S., Robson, P. J., et al. (2017) · Nutrients · doi:10.3390/nu9020100 · Cited by 66 · see citing works

The Development, Validation, and User Evaluation of Foodbook24: A Web-Based Dietary Assessment Tool Developed for the Irish Adult Population

Timon, C., Blain, R. J., McNulty, B. A., Kehoe, L., Evans, K., Walton, J., Flynn, A., & Gibney, E. R. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6407 · Cited by 64 · see citing works

Effect of fecal microbiota transplantation combined with Mediterranean diet on insulin sensitivity in subjects with metabolic syndrome

Koopen, A. M., Almeida, E. L., Attaye, I., Witjes, J. J., Rampanelli, E., Majait, S., Kemper, M., Levels, J. H. M., Schimmel, A. W. M., Herrema, H., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.662159 · Cited by 64 · see citing works

Using Short-Term Dietary Intake Data to Address Research Questions Related to Usual Dietary Intake among Populations and Subpopulations: Assumptions, Statistical Techniques, and Considerations

Kirkpatrick, S. I., Guenther, P. M., Subar, A. F., Krebs‐Smith, S. M., Herrick, K., Freedman, L. S., & Dodd, K. W. (2022) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2022.03.010 · Cited by 64 · see citing works

Using national dietary intake data to evaluate and adapt the US Diet History Questionnaire: the stepwise tailoring of an FFQ for Canadian use

Csizmadi, I., Boucher, B. A., Siou, G. L., Massarelli, I., Rondeau, I., Garriguet, D., Koushik, A., Elenko, J., & Subar, A. F. (2016) · Public Health Nutrition · doi:10.1017/s1368980016001506 · Cited by 64 · see citing works

Evaluation of the 24-Hour Recall as a Reference Instrument for Calibrating Other Self-Report Instruments in Nutritional Cohort Studies: Evidence From the Validation Studies Pooling Project

Freedman, L. S., Commins, J. M., Willett, W. C., Tinker, L. F., Spiegelman, D. L., Rhodes, D. G., Potischman, N. A., Neuhouser, M. L., Moshfegh, A. J., Kipnis, V., et al. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx039 · Cited by 63 · see citing works

A national FFQ for the Netherlands (the FFQ-NL 1.0): validation of a comprehensive FFQ for adults

Sluik, D., Geelen, A., de Vries, J. H. M., Eussen, S. J. P. M., Brants, H. A. M., Meijboom, S., DONGEN, M. C. J. M. V., Bueno-de-Mesquita, H. B., Wijckmans, N. E. G., Veer, P. V. ’., et al. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516002749 · Cited by 63 · see citing works

Traditional methods <i>v.</i> new technologies – dilemmas for dietary assessment in large-scale nutrition surveys and studies: a report following an international panel discussion at the 9th International Conference on Diet and Activity Methods (ICDAM9), Brisbane, 3 September 2015

Amoutzopoulos, B., Steer, T., Roberts, C., Cade, J. E., Boushey, C. J., Collins, C. E., Trolle, E., Boer, E. J. D., Ziauddeen, N., van Rossum, C., et al. (2018) · Journal of Nutritional Science · doi:10.1017/jns.2018.4 · Cited by 62 · see citing works

Sugar‐sweetened beverages, artificially sweetened beverages and natural juices and risk of inflammatory bowel disease: a cohort study of 121,490 participants

Fu, T., Chen, H., Chen, X., Sun, Y., Xie, Y. M., Deng, M., Hesketh, T. M., Wang, X., & Chen, J. (2022) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17149 · Cited by 62 · see citing works

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

Nybacka, S., Forslund, H. B., Wirfält, E., Larsson, I., Ericson, U., Lemming, E. W., Bergström, G. M. L., Hedblad, B., Winkvist, A., & Lindroos, A. K. (2016) · Journal of Nutritional Science · doi:10.1017/jns.2016.29 · Cited by 61 · see citing works

Performance and Feasibility of Recalls Completed Using the Automated Self-Administered 24-Hour Dietary Assessment Tool in Relation to Other Self-Report Tools and Biomarkers in the Interactive Diet and Activity Tracking in AARP (IDATA) Study

Subar, A. F., Potischman, N. A., Dodd, K. W., Thompson, F. E., Baer, D. J., Schoeller, D. A., Midthune, D., Kipnis, V., Kirkpatrick, S. I., Mittl, B., et al. (2020) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2020.06.015 · Cited by 60 · see citing works

Whole dietary patterns, cognitive decline and cognitive disorders: a systematic review of prospective and intervention studies

Townsend, R. F., Logan, D., O’Neill, R. F., Prinelli, F., Woodside, J. V., & McEvoy, C. T. (2023) · Nutrients · doi:10.3390/nu15020333 · Cited by 59 · see citing works

Evaluation of the Healthy Eating Food Index (HEFI)-2019 measuring adherence to Canada’s Food Guide 2019 recommendations on healthy food choices

Brassard, D., Munene, L.-A. E., St‐Pierre, S., Gonzalez, A. J., Guenther, P. M., Jessri, M., Vena, J. E., Olstad, D. L., Vatanparast, H., Prowse, R. J. L., et al. (2022) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2021-0416 · Cited by 58 · see citing works

BMI was found to be a consistent determinant related to misreporting of energy, protein and potassium intake using self-report and duplicate portion methods

Trijsburg, L. E., Geelen, A., Hollman, P. C. H., Hulshof, P. J. M., Feskens, E. J. M., Veer, P. V., Boshuizen, H. C., & de Vries, J. H. M. (2016) · Public Health Nutrition · doi:10.1017/s1368980016002743 · Cited by 58 · see citing works

Ultra-processed food intake and animal-based food intake and mortality in the Adventist Health Study-2

Orlich, M. J., Sabaté, J., Mashchak, A., Fresán, U., Jaceldo‐Siegl, K., Miles, F. L., & Fraser, G. E. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac043 · Cited by 53 · see citing works

Social Desirability Trait: Biaser or Driver of Self-Reported Dietary Intake?

Hébert, J. R. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2016.08.007 · Cited by 54 · see citing works

Evaluation of a short food frequency questionnaire for dietary intake assessment among children

Vilela, S., Severo, M., Moreira, T., Ramos, E., & Lopes, C. M. M. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0200-4 · Cited by 55 · see citing works

Impact of dairy protein during limb immobilization and recovery on muscle size and protein synthesis; a randomized controlled trial.

Mitchell, C., D'Souza, R., Mitchell, S., Figueiredo, V., Miller, B., Hamilton, K., Peelor, F. F., Coronet, M., Pileggi, C., Durainayagam, B. R., et al. (2018) · Journal of applied physiology · doi:10.1152/japplphysiol.00803.2017 · Cited by 53 · see citing works

Higher diet‐dependent acid load is associated with risk of breast cancer: Findings from the sister study

Park, Y., Steck, S. E., Fung, T. T., Merchant, A. T., Hodgson, M. E., Keller, J., & Sandler, D. P. (2018) · International Journal of Cancer · doi:10.1002/ijc.31889 · Cited by 53 · see citing works

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

Kirkpatrick, S. I., Guenther, P. M., Douglass, D., Zimmerman, T. P., Kahle, L., Atoloye, A. T., Marcinow, M. L., Savoie‐Roskos, M. R., Dodd, K. W., & Durward, C. M. (2018) · Journal of Nutrition · doi:10.1093/jn/nxy207 · Cited by 53 · see citing works

Role of metabolomics in identification of biomarkers related to food intake

Collins, C., McNamara, A. E., & Brennan, L. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s002966511900048x · Cited by 51 · see citing works

Later Meal and Sleep Timing Predicts Higher Percent Body Fat

Thomas, E. A., Zaman, A., Cornier, M., Catenacci, V. A., Tussey, E. J., Grau, L., Arbet, J., Broussard, J. L., & Rynders, C. A. (2020) · Nutrients · doi:10.3390/nu13010073 · Cited by 57 · see citing works

Is a Single 24-hour Dietary Recall per Person Sufficient to Estimate the Population Distribution of Usual Dietary Intake?

Knüppel, S., Norman, K., & Boeing, H. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz118 · Cited by 51 · see citing works

Associations Between Nutrition Knowledge and Overall Diet Quality: The Moderating Role of Sociodemographic Characteristics—Results From the PREDISE Study

Carbonneau, É., Lamarche, B., Provencher, V., Desroches, S., Robitaille, J., Vohl, M., Bégin, C., Bélanger, M. F., Couillard, C., Pelletier, L. G., et al. (2020) · American Journal of Health Promotion · doi:10.1177/0890117120928877 · Cited by 51 · see citing works

Child dietary quality in rural Nepal: Effectiveness of a community-level development intervention

Darrouzet‐Nardi, A., Miller, L. C., Joshi, N., Mahato, S., Lohani, M., & Rogers, B. L. (2016) · Food Policy · doi:10.1016/j.foodpol.2016.03.007 · Cited by 51 · see citing works

Safe use of high intakes of folic acid: research challenges and paths forward

Boyles, A. L., Yetley, E. A. D., Thayer, K. A., & Coates, P. M. (2016) · Nutrition Reviews · doi:10.1093/nutrit/nuw015 · Cited by 51 · see citing works

Investigating sex differences in the accuracy of dietary assessment methods to measure energy intake in adults: a systematic review and meta-analysis

McKenzie, B. L., Coyle, D. H., Santos, J. A., Burrows, T. L., Rosewarne, E., Peters, S. A. E., Carcel, C., Jaacks, L. M., Norton, R., Collins, C. E., et al. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa370 · Cited by 51 · see citing works

Self-Report Dietary Assessment Tools Used in Canadian Research: A Scoping Review

Kirkpatrick, S. I., Vanderlee, L., Raffoul, A., Stapleton, J. E., Csizmadi, I., Boucher, B. A., Massarelli, I., Rondeau, I., & Robson, P. J. (2017) · Advances in Nutrition · doi:10.3945/an.116.014027 · Cited by 50 · see citing works

Assessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needs

Kirkpatrick, S. I., Collins, C. E., Keogh, R. H., Krebs‐Smith, S. M., Neuhouser, M. L., & Wallace, A. (2018) · Nutrients · doi:10.3390/nu10081001 · Cited by 50 · see citing works

A Systematic Review Examining Contributors to Misestimation of Food and Beverage Intake Based on Short-Term Self-Report Dietary Assessment Instruments Administered to Adults

Whitton, C., Ramos-García, C. O., Kirkpatrick, S. I., Healy, J. D., Dhaliwal, S. S., Boushey, C. J., Collins, C. E., Rollo, M. E., & Kerr, D. A. (2022) · Advances in Nutrition · doi:10.1093/advances/nmac085 · Cited by 50 · see citing works

Innovative approaches to estimate individual usual dietary intake in large-scale epidemiological studies

Conrad, J., & Nöthlings, U. (2017) · Proceedings of The Nutrition Society · doi:10.1017/s0029665116003025 · Cited by 49 · see citing works

Combining a Food Frequency Questionnaire With 24-Hour Recalls to Increase the Precision of Estimation of Usual Dietary Intakes—Evidence From the Validation Studies Pooling Project

Freedman, L. S., Midthune, D., Arab, L., Prentice, R. L., Subar, A. F., Willett, W., Neuhouser, M. L., Tinker, L. F., & Kipnis, V. (2018) · American Journal of Epidemiology · doi:10.1093/aje/kwy126 · Cited by 116 · see citing works

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

Park, Y., Dodd, K. W., Kipnis, V., Thompson, F. E., Potischman, N., Schoeller, D. A., Baer, D. J., Midthune, D., Troiano, R. P., Bowles, H., et al. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx002 · Cited by 367 · see citing works

Evaluation of the 24-Hour Recall as a Reference Instrument for Calibrating Other Self-Report Instruments in Nutritional Cohort Studies: Evidence From the Validation Studies Pooling Project

Freedman, L. S., Commins, J. M., Willett, W. C., Tinker, L. F., Spiegelman, D. L., Rhodes, D. G., Potischman, N. A., Neuhouser, M. L., Moshfegh, A. J., Kipnis, V., et al. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx039 · Cited by 63 · see citing works

Using Intake Biomarkers to Evaluate the Extent of Dietary Misreporting in a Large Sample of Adults: The OPEN Study

Subar, A. F. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg092 · Cited by 1,070 · see citing works

Evaluation and Comparison of Food Records, Recalls, and Frequencies for Energy and Protein Assessment by Using Recovery Biomarkers

Prentice, R. L., Mossavar‐Rahmani, Y., Huang, Y., Horn, L. V., Beresford, S. A. A., Caan, B. J., Tinker, L. F., Schoeller, D. A., Bingham, S. A., Eaton, C. B., et al. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr140 · Cited by 376 · see citing works