The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Resource for Researchers, Clinicians, and Educators from the National Cancer Institute

Association between Water Intake, Chronic Kidney Disease, and Cardiovascular Disease: A Cross-Sectional Analysis of NHANES Data

Sontrop, J. M., Dixon, S. N., Garg, A. X., Jiménez, I. B., Dohein, O., Huang, S. S., & Clark, W. F. (2013) · American Journal of Nephrology · doi:10.1159/000350377 · Cited by 5,903

National Center for Health Statistics (NCHS)

Feinleib, M. (2005) · Encyclopedia of Biostatistics · doi:10.1002/0470011815.b2a16042 · Cited by 3,134

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

Moshfegh, A. J., Rhodes, D. G., Baer, D. J., Murayi, T., Clemens, J. C., Rumpler, W. V., Paul, D. R., Sebastian, R. S., Kuczynski, K. J., Ingwersen, L. A., et al. (2008) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/88.2.324 · Cited by 1,988

Structure of Dietary Measurement Error: Results of the OPEN Biomarker Study

Kipnis, V. (2003) · American Journal of Epidemiology · doi:10.1093/aje/kwg091 · Cited by 875

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

Schatzkin, A. G., Kipnis, V., Carroll, R. J., Midthune, D., Subar, A. F., Bingham, S. A., Schoeller, D. A., Troiano, R. P., & Freedman, L. S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg264 · Cited by 423

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

Subar, A. F., Crafts, J., Zimmerman, T. P., Wilson, M., Mittl, B., Islam, N. G., McNutt, S., Potischman, N., Buday, R., Hull, S. G., et al. (2010) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.007 · Cited by 224

Formative Research of a Quick List for an Automated Self-Administered 24-Hour Dietary Recall

Subar, A. F., Thompson, F. E., Potischman, N. A., Forsyth, B., Buday, R., Richards, D., McNutt, S., Hull, S. G., Guenther, P. M., Schatzkin, A. G., et al. (2007) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.03.007 · Cited by 142

Challenges in converting an interviewer-administered food probe database to self-administration in the National Cancer Institute automated self-administered 24-hour recall (ASA24)

Zimmerman, T. P., Hull, S. G., McNutt, S., Mittl, B., Islam, N. G., Guenther, P. M., Thompson, F. E., Potischman, N. A., & Subar, A. F. (2009) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2009.02.003 · Cited by 110

Children’s accuracy of portion size estimation using digital food images: effects of interface design and size of image on computer screen

Baranowski, T., Baranowski, J. C., Watson, K. B., Martin, S. J., Beltran, A., Islam, N. G., Dadabhoy, H., Adame, S.-H., Cullen, K. W., Thompson, D. I., et al. (2010) · Public Health Nutrition · doi:10.1017/s1368980010002193 · Cited by 44

Tests of the Accuracy and Speed of Categorizing Foods into Child vs Professional Categories Using Two Methods of Browsing with Children

Baranowski, T., Beltran, A., Martin, S. J., Watson, K. B., Islam, N. G., Robertson, S., Berno, S., Dadabhoy, H., Thompson, D. I., Cullen, K. W., et al. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.006 · Cited by 20

Incorporating the Dietary Guidelines for Americans Vegetable Recommendations into the Diet Alters Dietary Intake Patterns of Other Foods and Improves Diet Quality in Adults with Overweight and Obesity

Casperson, S. L., Jahns, L., Duke, S. E., Nelson, A. M., Appleton, K. M., Larson, K., & Roemmich, J. N. (2022) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2022.03.008 · Cited by 4

Implementation of an At-home Blood Pressure Measurement Protocol in a Hypertension Management Clinical Trial During the COVID-19 Pandemic

Miller, H., Berger, M. B., Askew, S., Trefney, E., Tyson, C. C., Svetkey, L. P., Bennett, G. G., & Steinberg, D. (2022) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000927 · Cited by 4

Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices

Pan, Z., Forjan, D., Marden, T. J., Padia, J., Ghosh, T., Hossain, D., Thomas, J. G., McCrory, M. A., Sazonov, E. E., & HIGGINS, J. A. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.877775 · Cited by 4

Development of a Conversational Dietary Assessment Tool for Cardiovascular Patients

Liu, Y., Goevaerts, W. F., Birk, M. V., Kemps, H., & Lü, Y. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-14785-2_12 · Cited by 4

Multicultural Healthy Diet to Reduce Cognitive Decline & Alzheimer's Disease Risk: Study protocol for a pilot randomized controlled trial

Mossavar‐Rahmani, Y., Shaw, P. A., Hakun, J. G., Katz, M. J., Wylie‐Rosett, J., & Sliwinski, M. J. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.107006 · Cited by 4

Food Intake Compared to Exercise Association with Obesity in Children Ages 3–6

Bedell, D. A., Sevcik, T., Daly, J. M., & Levy, B. T. (2022) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2022.220159r1 · Cited by 3

Diet, Physical Activity, and Stress Among Wheelchair Users With Multiple Sclerosis: Examining Individual and Co-Occurring Behavioral Risk Factors

Silveira, S. L., Jeng, B., Cutter, G., & Motl, R. W. (2023) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2022.12.194 · Cited by 4

Identifying Foods That Optimize Intake of Key Micronutrients During Pregnancy

Sauder, K. A., Cohen, C. C., Mueller, N. T., Hockett, C. W., Switkowski, K. M., Maldonado, L. E., Lyall, K., Kerver, J. M., Dabelea, D., O’Connor, T. G., et al. (2023) · Journal of Nutrition · doi:10.1016/j.tjnut.2023.08.012 · Cited by 5

Prospective Changes in Energy Intake, Physical Activity, and Resting Energy Expenditure during Pregnancy

Hagobian, T. A., D’Amico, A., Vranna, C., Brannen, A., & Phelan, S. (2015) · Californian Journal of Health Promotion · doi:10.32398/cjhp.v13i3.1836 · Cited by 4

The short-term impact of dietary fat and sugar intake on breast milk composition: A clinical trial protocol

Leghi, G. E., Netting, M., & Mühlhäusler, B. S. (2020) · Nutrition and Health · doi:10.1177/0260106019895367 · Cited by 4

Making the best use of new technologies in the National Diet and Nutrition Survey: a review

Timmins, K. A., Vowden, K., Husein, F., & Burley, V. J. (2014) · Lincoln Repository (University of Lincoln) · Cited by 4

Exploring In Vivo Dynamics of Bovine Milk Derived Gangliosides

Stonehouse, W., Klingner, B., McJarrow, P., Fong, B., & O’Callaghan, N. J. (2020) · Nutrients · doi:10.3390/nu12030711 · Cited by 4

Minimal Associations between Short-Term Dietary Intake and Salivary Microbiome Composition

Kim, J., Lee, M., Baldwin-Hunter, B. L., Solfisburg, Q. S., Lightdale, C. J., Korem, T., Hur, C., & Abrams, J. A. (2021) · Microorganisms · doi:10.3390/microorganisms9081739 · Cited by 5

Nutrition surveillance

Herrick, K., & Ogden, C. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818460-8.00012-5 · Cited by 4

Carbon Footprinting Dietary Choices in Ontario: A life cycle approach to assessing sustainable, healthy & socially acceptable diets

Veeramani, A. (2015) · UWSpace (University of Waterloo) · Cited by 4

Effectiveness of an Internet Delivered Behavioral Weight Loss Intervention Provided to Breast Cancer Survivors

Dittus L, K. (2015) · Advances in Obesity, Weight Management & Control · doi:10.15406/aowmc.2015.02.00021 · Cited by 3

Association Between Healthy Lifestyle and Cognitive Function in Middle-Aged and Older Adults

Naaman, R. K., Alashmali, S., Bakhsh, M. A., Alneami, S. A., Algamdi, E. S., Al-Ghamdi, G. A., & Alqarni, S. M. (2025) · Healthcare · doi:10.3390/healthcare13101140 · Cited by 3

Urinary Levels of Endocrine-Disrupting Chemicals and Breast Density in Young Women

Carroll, J. E., Guard, H. E., March, D., Arcaro, K. F., Huset, C. A., Balasubramanian, R., Despina Kontos, B., & Sturgeon, S. R. (2025) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-24-1694 · Cited by 3

From stool to sequence: decoding the human diet with FoodSeq

Superdock, D. K., Petrone, B. L., Kirtley, M. C., & David, L. A. (2025) · mSystems · doi:10.1128/msystems.00158-25 · Cited by 4

IGSMNet: Ingredient-Guided Semantic Modeling Network for Food Nutrition Estimation

Zhang, D., Shi, W., Ma, B., Min, W., & Wu, X. (2025) · Foods · doi:10.3390/foods14213697 · Cited by 3

User Preferences for an Image-Assisted Dietary Recall: Qualitative Study Comparing 3 Dietary Assessment Methods

Healy, J. D., Pollard, C. M., Collins, C. E., Mullan, B. A., Rollo, M. E., Dhaliwal, S. S., Norman, R., Kirkpatrick, S. I., McCaffrey, T. A., Whitton, C., et al. (2025) · JMIR Human Factors · doi:10.2196/79565 · Cited by 3

Evaluating Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual Metadata

Coburn, B., He, J., Rollo, M. E., Dhaliwal, S. S., Kerr, D. A., & Zhu, F. M. (2025) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi67747.2025.11269555 · Cited by 3

RDINet: A Deep Learning Model Integrating RGB-D and Ingredient Features for Food Nutrition Estimation

Kuang, Z., Gao, H., Yu, J., Sun, D., Zhao, J. M., & Sun, L. (2026) · Applied Sciences · doi:10.3390/app16010454 · Cited by 3

Pharmacomicrobiomics mechanisms clinical applications and analytical approaches

Neelam, A. K. N., Kolli, P. K., & Atla, S. R. (2026) · Discover Pharmaceutical Sciences · doi:10.1007/s44395-026-00045-5 · Cited by 3

The effects of glucagon-like peptide-1 receptor agonists on chemosensory function and ingestive behavior

Rutigliani, G., & Mattes, R. D. (2026) · Physiology & Behavior · doi:10.1016/j.physbeh.2026.115486 · Cited by 4

Healthy Hearts for an Abundant Life: Feasibility of a Culturally Adapted Cardiovascular Disease Prevention Curriculum for African American Women

Alsukait, R. F., Folta, S. C., Chui, K. K. H., Seguin‐Fowler, R. A., Sinclair, C. G., & Hudson, L. B. (2021) · Health Equity · doi:10.1089/heq.2021.0005 · Cited by 3

The INFINITE Study: Pilot Research Exploring Plant-Based Nutrition in Treatment for Substance Use Disorders

Kemp, T., Lopez, N. V., Ward, S., Sherzai, D., Sherzai, A. Z., & Sutliffe, J. T. (2022) · American Journal of Lifestyle Medicine · doi:10.1177/15598276221120227 · Cited by 3

Circadian Timing, Information processing and Metabolism (TIME) study: protocol of a longitudinal study of sleep duration, circadian alignment and cardiometabolic health among overweight adults

Baron, K. G., Appelhans, B. M., Burgess, H. J., Quinn, L. T., Greene, T., & Allen, C. M. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01272-y · Cited by 3

Vigorous-intensity exercise as a modulator of cardiac adipose tissue in women with obesity: a cross-sectional and randomized pilot study

Thapa, S., Selvaraj, B. S., Davis, P. N., Smith, B., Givan, A. H., Pérez-Rivera, J.-Á., Woodard, P. K., Klingensmith, J. D., & Fernández-del-Valle, M. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1104441 · Cited by 3

A pre-conception clinical trial to reduce intergenerational obesity and diabetes risks: The NDPP-NextGen trial protocol

Sauder, K. A., Gamalski, K., DeRoeck, J., Vasquez, F. P., Dabelea, D., Glueck, D. H., Catenacci, V. A., Fabbri, S., & Ritchie, N. D. (2023) · Contemporary Clinical Trials · doi:10.1016/j.cct.2023.107305 · Cited by 3

A Dose-Response Study to Examine Paraxanthine’s Impact on Energy Expenditure, Hunger, Appetite, and Lipolysis

Gross, K. N., Allen, L. E., Hagele, A. M., Krieger, J. M., Sutton, P. J., Duncan, E., Mumford, P. W., Jäger, R., Purpura, M., & Kerksick, C. M. (2024) · Journal of Dietary Supplements · doi:10.1080/19390211.2024.2351222 · Cited by 3

The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young females

Knowles, O., Soria, M., Saner, N. J., Trewin, A. J., Alexander, S. E., Roberts, S., Hiam, D., GARNHAM, A. P., Drinkwater, E. J., Aisbett, B., et al. (2024) · Physiological Genomics · doi:10.1152/physiolgenomics.00010.2024 · Cited by 4

Usability Assessment Methods for Mobile Apps for Physical Rehabilitation: Umbrella Review

Hach, S., Alder, G., Stavric, V., Taylor, D., & Signal, N. (2024) · JMIR mhealth and uhealth · doi:10.2196/49449 · Cited by 6

Validity of a Web-Based 24-Hour Dietary Recall of Energy and Nutrient Intakes in Japanese Adults

Nakadate, M., Kobayashi, S., Ishihara, J., Takachi, R., Sugawara, S., Hoshina, Y., Kito, K., Kotemori, A., Maruya, S., Suzuki, A., et al. (2024) · Nutrients · doi:10.3390/nu16234140 · Cited by 5

Correlates of Inaccuracy in Reporting of Energy Intake Among Persons with Multiple Sclerosis

Silveira, S. L., Jeng, B., Gower, B. A., Cutter, G., & Motl, R. W. (2025) · Nutrients · doi:10.3390/nu17030438 · Cited by 3

Adolescent health behavior profiles and associations with mental health in a longitudinal study

Kidwell, K. M., Brock, R. L., Tomaso, C. C., Phillips, E. M., James, T. D., Yaroch, A. L., Hill, J. L., Nelson, J. M., Huang, T. T. ‐., Mason, W. A., et al. (2025) · Journal of Health Psychology · doi:10.1177/13591053251314328 · Cited by 3

Dietary Quality and Intake of Cancer Caregivers: A Systematic Review of Quantitative Studies and Recommendations for Future Research

Ayre, S. K., Collins, K. E., Bourdaniotis, X. E., Rose, G. L., Boardman, G., Depaune, C., Goodwin, B. C., & Johnston, E. A. (2025) · Cancer Medicine · doi:10.1002/cam4.70668 · Cited by 3

Impact and Cost-Effectiveness of a Home Food Environment Intervention on Healthy Eating

Kegler, M. C., Howard, D., Bundy, Ł., Owolabi, S., Hartman, T. J., Collins, T., Muncy, C., & Haardörfer, R. (2025) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2025.02.017 · Cited by 3

Validation of a recommender system for prompting omitted foods in online dietary assessment surveys

Osadchiy, T., Poliakov, I., Olivier, P. L., Rowland, M., & Foster, E. (2019) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3329189.3329191 · Cited by 3

Urban-Rural Differences in the Prevalence of Muscle Weakness and Slow Gait Speed: A Cross-Sectional Analysis from the NHANES (2001-2002 and 2011-2014)

Aziz, J., Reid, K. F., Batsis, J. A., & Fielding, R. A. (2021) · Journal of Aging Research and Lifestyle · doi:10.14283/jarlife.2021.4 · Cited by 4

Abbreviated Dietary Self-monitoring for Type 2 Diabetes Management: Mixed Methods Feasibility Study

Richardson, K. M., Aguirre, G. C., Weiss, R., Çınar, A., Liao, Y., Marano, K. M., Bedoya, A. R., & Schembre, S. M. (2021) · JMIR Diabetes · doi:10.2196/28930 · Cited by 3

Associations Between Ultra-Processed Food Consumption and BMI, Sedentary Time, and Adverse Dietary Habits in Active Young Adults

Capra, B. T., Matthews, E. L., Kerrihard, A. L., & Hosick, P. A. (2022) · Journal of Exercise and Nutrition · doi:10.53520/jen2022.103121 · Cited by 3

Evaluating the Dissemination and Implementation of a Community Health Worker-Based Community Wide Campaign to Improve Fruit and Vegetable Intake and Physical Activity among Latinos along the U.S.-Mexico Border

Yeh, P. G., Reininger, B. M., Mitchell-Bennett, L. A., Lee, M., Xu, T., Davé, A. C., Park, S. K., & Toro, A. G. O.-D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19084514 · Cited by 3

A Parent-Based Intervention for Reducing High-risk Social Media Cognitions, Alcohol Use, and Negative Consequences Among Adolescents: Protocol for a Randomized Controlled Pilot Study

Litt, D., Geusens, F., Seamster, A., & Lewis, M. A. (2022) · JMIR Research Protocols · doi:10.2196/38543 · Cited by 3

New Moms Wellness Study: the randomized controlled trial study protocol for an intervention study to increase fruit and vegetable intake and lower breast cancer risk through weekly counseling and supplemental fruit and vegetable box delivery in breastfeeding women

Sturgeon, S. R., Sibeko, L. N., Balasubramanian, R., & Arcaro, K. F. (2022) · BMC Women s Health · doi:10.1186/s12905-022-01967-9 · Cited by 3

COVID-19 Benefits and Dietary Behaviors Among Mothers From Low-Income, Food-Insecure Households

Molitor, F., & Kehl, S. (2023) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2022.10.009 · Cited by 3

Nutri: A Behavioral Science-Based Clinical Decision Support for Chronic Disease Management.

Burgermaster, M., Rosenthal, M., Tierney, W. M., Altillo, B., Nordquist, E., Enriquez, C., Andrews, S. B., Klatt, C., & Daniels, G. (2022) · PubMed Central · Cited by 3

Data-Centric Framework and Databases for Fortifying Food Safety Risk Assessment

Chauhan, S. S., Govindh, P., Singh, R., & Parthasarathi, R. (2023) · ACS Food Science & Technology · doi:10.1021/acsfoodscitech.3c00118 · Cited by 3

Grass-Fed and Non-Grass-Fed Whey Protein Consumption Do Not Attenuate Exercise-Induced Muscle Damage and Soreness in Resistance-Trained Individuals: A Randomized, Placebo-Controlled Trial

Barenie, M. J., Escalera, A., Carter, S. J., Grange, H. E., Paris, H. L. R., Krinsky, D., Sogard, A. S., Schlader, Z. J., Fly, A. D., & Mickleborough, T. D. (2023) · Journal of Dietary Supplements · doi:10.1080/19390211.2023.2282470 · Cited by 3

Digitizing Survivorship Care Plans Through the POST-Treatment Health Outcomes of Cancer Survivors (POSTHOC) Mobile App: Protocol for a Phase II Randomized Controlled Trial

Chung, K., Youngblood, S. M., Clingan, C. L., Deighton, D. C., Jump, V. A., Manuweera, T., McGeorge, N., Renn, C. L., Rosenblatt, P., Winder, A. T., et al. (2024) · JMIR Research Protocols · doi:10.2196/59222 · Cited by 3

Similar changes in diet quality indices, but not nutrients, among African American participants randomized to follow one of the three dietary patterns of the US Dietary Guidelines: A secondary analysis

Turner‐McGrievy, G. M., Wirth, M. D., Okpara, N., Jones, M., Kim, Y., Wilcox, S., Friedman, D. B., Sarzynski, M. A., & Liese, A. D. (2024) · Nutrition Research · doi:10.1016/j.nutres.2024.09.005 · Cited by 3

Recruitment feasibility and dietary and behavioral patterns in toddlers with ASD: Preliminary results from the Autism Eats program

Gray, H. L., Jiménez, C., Pang, T., Kim, E., Shaffer‐Hudkins, E., Agazzi, H. C., Rosado, A. P., Klinger, A., Young, C., Kandil, J., et al. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107688 · Cited by 6

Validation of a Food Frequency Questionnaire: VioScreen-Allergy

Pickett‐Nairne, K., Glueck, D. H., Thomson, J. L., Weiss, R., Fuller, K. N. Z., Fabbri, S., Schaefer, C., Evans, C., Bowhay, E., Martinez, M., et al. (2024) · Nutrients · doi:10.3390/nu16213772 · Cited by 3

Environmental-Health Convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems

Agyemang, P., Kwofie, E. M., Baum, J., Wang, D., & Kwofie, E. A. (2024) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2024.106309 · Cited by 3

Evaluating the impact of metabolic syndrome on aging in US adults: a cross-sectional study from NHANES

Li, L., Wang, S., Yang, H., Xie, J., & Wang, M. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1593214 · Cited by 3

Early Supportive and Nutritional Care For Adults With Pancreatic Cancer: A Pilot Study

Lin, Y. C., Turner, K. L., Rajasekhara, S., Kim, D. W., Castria, T. B. D., Nguyen, O. T., Hume, E., Sprow, O., Santiago, C., Milano, J., et al. (2025) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2025.07.032 · Cited by 3

Assessment of Obesity

Wakefield, S. M., Sanderson, J., & McPherson, P. (2018) · Autism and child psychopathology series · doi:10.1007/978-3-319-93542-3_23 · Cited by 3

A Mobile Self-control Training App to Improve Self-control and Physical Activity in People With Severe Mental Illness: Protocol for 2 Single-Case Experimental Designs

Dekkers, T., Heirbaut, T., Schouten, S. E., Kelders, S. M., Jong, N. B.-D., Ludden, G., Deenik, J., Bouman, Y. H. A., & Kip, H. (2023) · JMIR Research Protocols · doi:10.2196/37727 · Cited by 3

Integrated multi-cohort analysis of the Parkinson’s disease gut metagenomePreprint

Boktor, J. C., Sharon, G., Metman, L. V., Hall, D. A., Engen, P. A., Zreloff, Z. J., Hakim, D., Bostick, J. W., Ousey, J. A., Lange, D., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.20.500694 · Cited by 3

Exploring the role of dietary intake and supplementation on performance in video gaming and esports

Turner, J. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.244137 · Cited by 3

Feasibility and Acceptability of Standardizing Portions in Restaurants

Cohen, D. A., Preciado, M., Voorhees, A. C., Castillo, A., Montes, M., Labisi, T., Lopez, K., Economos, C. D., & Story, M. T. (2024) · Journal of Urban Health · doi:10.1007/s11524-024-00867-7 · Cited by 2

Carbon stable isotope values in hair are associated with added sugar intake in adults but not young children: a cross-sectional study

Smethers, A. D., Fisher, J. O., Carney, E. M., Coffman, D. L., & Mennella, J. A. (2025) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2025.02.013 · Cited by 2

Influence of Dietary Quality on Neurogenic Bowel Dysfunction in Individuals With Spinal Cord Injury

Faber, W., Nachtegaal, J., Stolwijk-Swüste, J. M., Witteman, B. J. M., & Winkels, R. M. (2025) · Topics in Spinal Cord Injury Rehabilitation · doi:10.46292/sci24-00055 · Cited by 3

The Association Between Midpregnancy Food Intake Timing Patterns and Gestational Weight Gain

Hawkins, M., Duan, D., Kim, N., Goswami, M. G., Abebe, K. Z., Scifres, C., Costacou, T., Catalano, P. M., Simhan, H. N., Orris, S. R., et al. (2025) · Journal of Women s Health · doi:10.1089/jwh.2024.0677 · Cited by 3

Dysregulated maternal and newborn fatty acid, sugar and amino acid metabolism associated with high birth weight

Qiu, C., Liao, J., Gheissari, R., Li, C., Kapai, A., Conti, D. V., Jones, D. P., Bastain, T. M., Breton, C. V., & Chen, Z. (2025) · International Journal of Obesity · doi:10.1038/s41366-025-01775-9 · Cited by 2

Rest Activity Rhythms and Their Association with Cardiorespiratory Fitness and Walking Energetics in Older Adults: Study of Muscle, Mobility, and Aging

Erickson, M. L., BLACKWELL, T. L., Garcia, R. E., Mau, T., Cawthon, P. M., Cummings, S. R., Farsijani, S., Sparks, L. M., Noone, J., Glynn, N. W., et al. (2025) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003730 · Cited by 2

Racial/ethnic-derived maternal diets predict birth outcomes better than a diet derived from a combined sample among Hispanic/Latina and non-Hispanic White pregnant individuals in the ECHO Cohort

Maldonado, L. E., Adair, L. S., Dabelea, D., Farzan, S. F., Breton, C. V., Dunlop, A. L., MacKenzie, D. A., & Bastain, T. M. (2025) · Nutrition · doi:10.1016/j.nut.2025.112832 · Cited by 2

A Culturally Tailored Digital Education Intervention to Improve Nutrition Among Older Adult Congregate Meal Participants During COVID-19: Protocol for a Stepped-Wedge Cluster Randomized Controlled Trial

Sharma, V., Aguilar, M., Abdelrahman, S., Sosa, E. T., He, M., Martinez, M. M., Hutson, A., Zhang, T., Yin, Z., & Ullevig, S. L. (2025) · JMIR Research Protocols · doi:10.2196/65976 · Cited by 2

The mushrooms on the menu (MOM) study: vitamin D mushrooms (UV-exposed) are a feasible and acceptable way to increase vitamin D intake in a residential aged care facility

Ferraris, C., Blumfield, M., Duve, E., Downey, L., Wright, J., Khan, S., Beckett, E., & Fayet‐Moore, F. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1568202 · Cited by 2

Neural responsivity to food cues varies with food fussiness in adolescents

Duck, S. A., Jansen, E., Chen, L., Hua, S., Ahn, A., Benson, L., Papantoni, A., & Carnell, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-11410-2 · Cited by 2

Feasibility, safety and efficacy of OsteoStrong® in postmenopausal women with low bone mineral density: A pilot study

Mesinovic, J., Ryan, J. R., Ng, C., Zengin, A., Ebeling, P. R., & Scott, D. A. H. (2025) · Bone · doi:10.1016/j.bone.2025.117656 · Cited by 2

Motivating increases in physical activity to prevent recurrence of weight gain after metabolic bariatric surgery: The Exercise Values of Life and Vitality Everyday (EVOLVE) trial

Bond, D. S., Papasavas, P. K., Wu, Y., Levin, M. E., DUNSIGER, S. I., Sarwer, D. B., Schumacher, L. M., Saad-Pendergrass, D., Schwartz, A., & Lillis, J. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.108098 · Cited by 2

Caregiver feeding practices, dietary intake and weight status of very low birthweight infants compared to term-born peers at school-entry

Walton, K., Hopperton, K. E., Lambis, A., Law, N., Vaz, S., Kiss, A., Unger, S. L., & O’Connor, D. L. (2025) · Appetite · doi:10.1016/j.appet.2025.108338 · Cited by 2

The Longitudinal Examination of Habitual Sleep Duration in Relation to Weight Gain Risk Behaviors and Body Composition Changes Among College Students: Findings From Project STARLIT

Kozak, A. T., Lico, M. P., Jarrett, N. L., & Pickett, S. M. (2025) · International Journal of Behavioral Medicine · doi:10.1007/s12529-025-10424-4 · Cited by 2

Evaluation of Large Language Models for Mapping Dietary Data to Food Databases

Lemay, D. G., Strohmeier, M. P., Stoker, R. B., Larke, J. A., & Wilson, S. M. G. (2026) · Journal of Nutrition · doi:10.1016/j.tjnut.2026.101678 · Cited by 3

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First semester changes in college students’ objectively-measured physical activity and dietary behaviors

Deng, Y., Hwang, Y., Kim, T., & Yli-Piipari, S. R. (2022) · Journal of American College Health · doi:10.1080/07448481.2022.2135379 · Cited by 2

Metabolic impact of feeding prior to a 60-min bout of moderate-intensity exercise in females in a fasted state

Ratliff, K. M., Kerksick, C. M., Moon, J. M., Hagele, A. M., Boring, J. L., Walden, K. E., Gaige, C. J., Stecker, R. A., Sunderland, K., & Mumford, P. W. (2023) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2022.1070477 · Cited by 2

The Effects of Acute Sleep Curtailment on Salt Taste Measures and Relationships with Energy-Corrected Sodium Intake: A Randomized Cross-Over Trial with Methodology Validation

Du, C., Keast, R., Tan, S., & Tucker, R. M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054140 · Cited by 2

Disparities in Perceived Availability of Healthful Foods, Dietary Behaviors, Diet Quality, and Obesity Among Mothers from Low-Income Households: Additional Evidence in the Call for Broader Approaches to Obesity Prevention

Molitor, F., & Kehl, S. (2023) · Health Equity · doi:10.1089/heq.2022.0127 · Cited by 2

Study Protocol Using Cohort Data and Latent Variable Modeling to Guide Sampling Women With Type 2 Diabetes and Depressive Symptoms

Perez, N. B., Melkus, G. D., Yu, G., Brown-Friday, J., Anastos, K., & Aouizerat, B. E. (2023) · Nursing Research · doi:10.1097/nnr.0000000000000669 · Cited by 2

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Tran, D.-M. T., Cross, C. L., & Navalta, J. W. (2023) · Clinical Nursing Research · doi:10.1177/10547738231197864 · Cited by 2

Dietary Sugar Research in Preschoolers: Methodological, Genetic, and Cardiometabolic Considerations

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Early pregnancy associations with Gestational Diabetes: methods and cohort results of the Hoosier Moms Cohort

Haas, D. M., Faysal, H., Grecu, M., Flannery, K. M., Schmidt, H., Aamir, M., Guerrero, R. F., Chung, C.-F., Scordalakes, C., Fitzpatrick, B., et al. (2024) · North American Proceedings in Gynecology & Obstetrics · doi:10.54053/001c.121481 · Cited by 2

Addressing diabetes by elevating access to nutrition (ADELANTE) - A multi-level approach for improving household food insecurity and glycemic control among Latinos with diabetes: A randomized controlled trial

Radtke, M. D., Chen, W.-T., Xiao, L., Espinosa, P. R., Orizaga, M., Thomas, T., Venditti, E. M., Yaroch, A. L., Zepada, K., Rosas, L. G., et al. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107699 · Cited by 3

The development and testing of a single-arm feasibility and acceptability study of a whole foods diet intervention for adults with prediabetes and their offspring

Sneed, N. M., Kelley, R., Turner, H. M., Piano, M. R., Dagostino, C., Sellers, A., Bonnet, K. R., Schlundt, D., Adams, L. E., & Heerman, W. J. (2024) · Pilot and Feasibility Studies · doi:10.1186/s40814-024-01554-9 · Cited by 2

An Investigation of the Feasibility and Acceptability of Using a Commercial DASH (Dietary Approaches to Stop Hypertension) App in People With High Blood Pressure: Mixed Methods Study

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Protocol for a randomised controlled trial of a weight maintenance intervention to promote fat loss in pregnant individuals with obesity

Redman, L. M., Phelan, S., Apolzan, J. W., Beyl, R. A., Altazan, A. D., Dickey, M. S., Simeon, E. D., Flanagan, E. W., Cabre, H. E., Sparks, J. R., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-095804 · Cited by 2

Comparing Self-Administered Web-Based to Interviewer-Led 24-h Dietary Recall (FOODCONS): An Italian Pilot Case Study

Mistura, L., Azcarraga, F. J. C., D’Addezio, L., Donne, C. L., Martone, D., Piccinelli, R., & Sette, S. (2025) · Dietetics · doi:10.3390/dietetics4020017 · Cited by 2

The effects of the Multicultural Healthy Diet on cognitive decline and Alzheimer’s disease risk: a phase II randomized controlled trial in middle-aged adults

Mossavar‐Rahmani, Y., Hyun, N., Hakun, J. G., Katz, M. J., Pavlovic, J. M., Zetterberg, H., Wang, Z., Yang, J. B., Wylie‐Rosett, J., Hébert, J. R., et al. (2025) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2025.05.011 · Cited by 2

Using Interactive Text Messaging to Improve Diet Quality and Increase Redemption of Foods Approved by the Special Supplemental Nutrition Program for Women, Infants, and Children: Protocol for a Cohort Feasibility Study

Kay, M. C., Hammad, N. M., Herring, S. J., & Bennett, G. G. (2021) · JMIR Research Protocols · doi:10.2196/32441 · Cited by 2

Physiological Effort in Submaximal Fitness Tests Predicts Weight Loss in Overweight and Obese Men with Prostate Cancer in a Weight Loss Trial

Frugé, A. D., Dasher, J., Bryan, D. R., Rais‐Bahrami, S., Demark‐Wahnefried, W., & Hunter, G. R. (2017) · International Journal of Cancer and Clinical Research · doi:10.23937/2378-3419/1410083 · Cited by 2

Salivary cystatin SN is a factor predicting iron bioavailability after phytic acid rich meals in female participants

Delimont, N. M., & Nickel, S. (2020) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2020.1846164 · Cited by 2

Recommendations for Assessment of Environmental Exposures in Longitudinal Life Course Studies Such as the National Children's Study

Viet, S. M., Dellarco, M., Chen, E., McDade, T. W., Faustman, E. M., Brachvogel, S., Smith, M. N., & Wright, R. J. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.629487 · Cited by 2

Fruit and vegetable intake at and away from school during participation in the FIT Game

Ansu, V., Madden, G. J., & Wengreen, H. J. (2021) · Nutrition and Health · doi:10.1177/02601060211026386 · Cited by 2

Predictive Utility of Alternate Measures of Physical Activity and Diet for Overweight and Obesity in Low-Income Minority Women

Liu, Y., Shier, V., King, S., & Datar, A. (2022) · American Journal of Health Promotion · doi:10.1177/08901171211069992 · Cited by 2

Optimizing an mHealth Intervention to Change Food Purchasing Behaviors for Cancer Prevention: Protocol for a Pilot Randomized Controlled Trial

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Development of a Food List to Assess the Diet of South Asians Living in the U.S.: Preliminary Results From a Formative Study

Hussain, B. M., Harris, S., Talegawkar, S. A., Shivakoti, R., Mohsin, F. M., Weiss, R., & Parekh, N. (2023) · AJPM Focus · doi:10.1016/j.focus.2023.100073 · Cited by 2

Using Contextual Information to Improve Hidden Markov Model Recognition of Wrist Motions During Eating Activities

Shen, Y. (2018) · TigerPrints (Clemson University) · Cited by 2

Development, Validation and Reliability of the Chrononutrition Profile

Engwall, A. (2019) · NDSU Repository (North Dakota State University) · Cited by 2

Abstract 029: The Automated Self-Administered 24-Hour Dietary Recall (ASA24): A Research Resource from the National Cancer Institute (NCI)

Subar, A. F., Kirkpatrick, S. I., Mittl, B., Zimmerman, T. P., Thompson, F. E., Bingley, C., Willis, G., Islam, N. G., Baranowski, T., McNutt, S., et al. (2012) · Circulation · doi:10.1161/circ.125.suppl_10.a029 · Cited by 5

The National Cancer Institute's automated self‐administered 24‐hour dietary recall (ASA24)

Subar, A. F., Kirkpatrick, S. I., Mittl, B., Zimmerman, T. P., Thompson, F. E., Bingley, C., Willis, G., McNutt, S., & Potischman, N. A. (2012) · The FASEB Journal · doi:10.1096/fasebj.26.1_supplement.131.7 · Cited by 2

The Automated Self‐Administered 24‐hour Dietary Recall (ASA24): publicly available from the National Cancer Institute (NCI)

Subar, A. F., Potischman, N. A., Thompson, F. E., Tapia, R., Zimmerman, T. P., Hull, S. G., Mittl, B., Buday, R., Crafts, J. L., McNutt, S., et al. (2009) · The FASEB Journal · doi:10.1096/fasebj.23.1_supplement.223.2 · Cited by 21

The Automated Self‐Administered 24‐Hour (ASA24) is Now Mobile and Can Collect Both 24‐Hour Recalls and Food Records

Subar, A. F., Mittl, B., Zimmerman, T. P., Kirkpatrick, S. I., Schap, T. E., Miller, A., Wilson, M. M., Kaefer, C., & Potischman, N. A. (2016) · The FASEB Journal · doi:10.1096/fasebj.30.1_supplement.1153.6 · Cited by 5

Validity of the National Cancer Institute's Automated Self‐ Administered 24‐hour Recall (ASA24): Results of a Feeding Study

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