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

Validation of a parent proxy-reported beverage screener compared to a 24-hour dietary recall for the measurement of sugar-containing beverage intake among young children

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown‐Stoneman, C. D. G., Omand, J. A., Vanderhout, S. M., Warren, C., Maguire, J. L., Birken, C. S., & Anderson, L. N. (2023) · doi:10.32920/24168477

Validation of a parent proxy-reported beverage screener compared to a 24-hour dietary recall for the measurement of sugar-containing beverage intake among young children

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown‐Stoneman, C. D. G., Omand, J. A., Vanderhout, S. M., Warren, C., Maguire, J. L., Birken, C. S., & Anderson, L. N. (2023) · doi:10.32920/24168477.v1

Automated Self-Administered 24-H Dietary Assessment Tool (ASA24) recalls for parent proxy-reporting of children's intake (> 4 years of age): a feasibility study

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown‐Stoneman, C. D. G., Omand, J. A., Vanderhout, S. M., Maguire, J. L., Birken, C. S., & Anderson, L. N. (2023) · doi:10.32920/24168456.v1

Cow’s Milk Fat Obesity pRevention Trial (CoMFORT): a primary care embedded randomised controlled trial protocol to determine the effect of cow’s milk fat on child adiposity

Vanderhout, S. M., Aglipay, M., Birken, C. S., Li, P. S., O’Connor, D. L., Thorpe, K., Constantin, E., Davis, M.-A., Feldman, M. L., Ball, G. D. C., et al. (2023) · doi:10.32920/24168471.v1

Barriers and facilitators of dairy consumption among individuals with metabolic syndrome.

Mensah, K. A. (2023) · doi:10.18297/etd/4091

Greenhouse gases, land use, and water withdrawals associated with protein foods within the Dietary Approaches to Stop Hypertension

Kling, N. R. (2021) · doi:10.31274/td-20240329-374

Protocol for a prospective, randomized, controlled trial of Mental Contrasting with Implementation Intentions (MCII) to enhance the effectiveness of VA's MOVE! weight management program: WOOP (Wish, Outcome, Obstacle, Plan) VA

Vandyousefi, S., Oettingen, G., Wittleder, S., Moin, T., Sweat, V., Aguilar, A. D., Ruan, A., Angelotti, G., Wong, L., Orstad, S. L., et al. (2024) · Contemporary Clinical Trials · doi:10.1016/j.cct.2024.107523

Nutrition and Healthy Weight

Ferranti, E. P., Alvarez, J. A., & Christie, C. (2024) · Springer eBooks · doi:10.1007/978-3-031-53705-9_12

Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations

Lee, M., Reininger, B. M., Gabriel, K. P., Ranjit, N., & Strong, L. L. (2024) · Journal of Applied Statistics · doi:10.1080/02664763.2024.2394784

Racial and Ethnic Differences in Sodium Sources and Sodium Reduction Behaviors among US Adults: NHANES 2017-2020 pre pandemicPreprint

Cheng, J. S.-C., Thorndike, A. N., & Yi, S. S. (2024) · medRxiv · doi:10.1101/2024.08.27.24312681

Implementing a Diet Risk Score (DRS) for Spanish-Speaking Adults in a Clinical Setting: A Feasibility Study

Johnston, E. A., Torres, M. J., Hansen, J., Ochoa, K. M., Mortenson, D., León, E. D., & Beasley, J. M. (2024) · Nutrients · doi:10.3390/nu16172992 · 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 (Preprint)Preprint

Sharma, V., Aguilar, M., Abdelrahman, S., Sosa, E. T., He, M., Martinez, M., Hutson, A., Zhang, T., Yin, Z., & Ullevig, S. L. (2024) · doi:10.2196/preprints.65976

High-Intensity Interval Training for Individuals With Isolated Impaired Fasting Glucose: Protocol for a Proof-of-Concept Randomized Controlled Trial

Sathish, T., Ziegler, T. R., Weber, M. B., Staimez, L. R., Lobelo, F., Millard-Stafford, M. L., Schmidt, M. D., Venkatachalam, A., Bajpai, R. C., Fil, F. E., et al. (2024) · JMIR Research Protocols · doi:10.2196/59842

Healthy Eating in College Students: 24-Hour Dietary Recall and the Theory of Planned Behavior

Douglas, M. E. (2019) · doi:10.12794/metadc1538776

Investigating omega-3 fatty acids’ neuroprotective effects in repetitive subconcussive neural injury: Study protocol for a randomized placebo-controlled trial

Stephens, L. H., Bazarian, J. J., Johnson, B. D., Cheng, H., Ellis, G., Kronenberger, W. G., Calder, P. C., Chen, Z., Silveyra, P., Quinn, P. D., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0321808 · Cited by 4

Assessing the Validity and Usability of a Speech Recognition Dietary Assessment Tool for Older AdultsPreprint

Sung, Y., Jung, S., Kang, H. J., Moon, S. Y., Jeong, J. H., Choi, S. H., & Park, Y. K. (2025) · Research Square · doi:10.21203/rs.3.rs-6335141/v1

Comparative Analysis of Dietary Intake Among University of Florida Students: Food Pantry Users vs. Non-UsersPreprint

Puell, J. D. (2025) · Research Square · doi:10.21203/rs.3.rs-6848504/v1

Comparative Analysis of Dietary Intake Among University of Florida Students: Food Pantry Users vs. Non-UsersPreprint

Puell, J. D. (2025) · Research Square · doi:10.21203/rs.3.rs-6848504/v2

Measuring 24-hour Movement Profiles During Pregnancy: Protocol for the 24MOVE Prospective Cohort Study

Ryan, E., Asera, A., Gabriel, K. P., Manber, R., Quesenberry, C. P., Avalos, L. A., Hedderson, M. M., & Badon, S. E. (2025) · JMIR Research Protocols · doi:10.2196/72828

Protocol for a randomized, controlled trial of a bioactive dietary polyphenol preparation to promote resilience in healthy individuals

Marchidan, M., Rizk, M., Karpman, E., Lizzano, A., Fremont, R., Dobbs, M. F., Lee, J. H., Irizar, H., Lyu, W., Yin, Z., et al. (2026) · Contemporary Clinical Trials · doi:10.1016/j.cct.2026.108382

Prospective Associations of Breastfeeding Parents’ Postpartum Dietary Intake With Infant Gut Microbiome at Age 6 Months in the Pregnancy Eating Attributes Study

Sanjeevi, N., Dreisbach, C., Peddada, S. D., Siega‐Riz, A. M., Fouladi, F., & Nansel, T. R. (2025) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2025.07.005

Assessing the Validity and Usability of a Speech Recognition Dietary Assessment Tool for Older Adults (Preprint)Preprint

‍Sung, Y., Park, Y. K., Jung, S., Kang, H. J., Moon, S. Y., Jeong, J. H., Choi, S. H., & Lee, E. H. (2025) · doi:10.2196/preprints.81336

Examining longitudinal associations between early environmental deprivation and unpredictability and dietary quality and eating behaviors a decade later

Goldberg, E. L., Brock, R. L., Yaroch, A. L., Hill, J. L., Mason, W. A., Nelson, J. M., Espy, K. A., & Nelson, T. D. (2025) · Appetite · doi:10.1016/j.appet.2025.108277

Connections Between Diet and Mental Health: Comparing Participants Randomized to Vegan and Omnivorous Diets in the Nutritious Eating With Soul (NEW Soul) Study

Keseko, E. A., Turner-McGrievy, G., Bernhart, J., Bell, A., Bailey, S., Kim, Y.-S., Okpara, N., Wilcox, S., & Frongillo, E. (2025) · American Journal of Lifestyle Medicine · doi:10.1177/15598276251377720

Integrating ASA24 Into a Data-Driven Nutrition Education Intervention in Community Health Center Clinics

Rosenthal, M., Larson, D. N., Flores, M. R., & Burgermaster, M. (2025) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2025.08.003

The Diet Guidelines: 3 Diets (DG3D) study protocol of a behavioral teaching kitchen intervention for type-2 diabetes prevention among African American adults

Bailey, S., Turner‐McGrievy, G. M., Keseko, E. A., Duncan, T., Ward-Johnson, D., Davis, B., Wilcox, S., Friedman, D. B., Sarzynski, M. A., & Liese, A. D. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.108109

A Pilot Study of the Nutrient Composition Diversity Index in a Sample of Healthy United States Adults Shows Positive Associations with Adherence to the Dietary Guidelines for Americans and Micronutrient Adequacy

Gersten, Z. P., Wilson, S. M. G., Larke, J. A., Lemay, D. G., & Caswell, B. (2025) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2025.107576

Rationale and study protocol for a pilot study to determine the feasibility and acceptability of a tailored stress management enhanced behavioral weight loss intervention for Black breast cancer survivors with obesity

Carson, T. L., Llanos, A. A. M., Fleming, K., Pittman, S., Pena, A., Henderson, J., Doerr, V., Cooper, A. J., Mallory, M. A., Sutton, S. K., et al. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.108113 · Cited by 1

A 2-Group Path Analysis of a Food Environment Conceptual Model by Food Security Status: Home Food Environment Variables Were Associated With Healthy Eating Index 2015 Component Scores for Total Vegetables Among Those With Food Security

Antonacci, C. C., Haardörfer, R., Winkler, M. R., Hartman, T. J., Morshed, A. B., Muncy, C., & Kegler, M. C. (2025) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2025.156222

Feasibility and usability of a voice-based dietary recall tool in older adults: A pilot comparison with ASA-24

Khandpekar, S. G., Singh, R., Summerour, C. E., Schwoebel, J., Liang, X., & Batsis, J. (2025) · Digital Health · doi:10.1177/20552076251393342

Infant Dietary Patterns and Early Childhood Weight Outcomes: A Secondary Analysis from the Starting Early Program Trial

Berube, L. T., Kim, C. N., Deierlein, A. L., Woolf, K., Messito, M. J., & Gross, R. S. (2026) · Childhood Obesity · doi:10.1177/21532176261465101

Evaluating bidirectional, longitudinal associations between adolescent executive control and eating behaviors

Thilges, H., Phillips, E. M., Goldberg, E. L., Brock, R. L., Kidwell, K. M., Yaroch, A. L., Hill, J. L., Espy, K. A., Nelson, J. M., Mason, W. A., et al. (2025) · Appetite · doi:10.1016/j.appet.2025.108400 · Cited by 1

Enrichment of the Canadian Partnership for Tomorrow’s Health Study: Protocol for Administering Multiple Online Dietary and Movement Behavior Assessment Tools in a Longitudinal Cohort Study

Murphy, R. A., Vena, J. E., Milano, A. D., Faulkner, G., Lamarche, B., Matthews, C. E., Minaker, L. M., Spicker, D., Sweeney, E., Wallace, M. P., et al. (2025) · JMIR Research Protocols · doi:10.2196/71680

Dietary intervention during pregnancy improves maternal diet index: The PEAPOD pilot trial

Venter, C., Bodén, S., Pickett‐Nairne, K., Glueck, D. H., Comstock, S. S., & Kerver, J. M. (2025) · Pediatric Allergy and Immunology · doi:10.1111/pai.70259

Inhibitory Control, Attentional Bias, and Palatable Food Consumption in Adolescents: A Laboratory Feasibility Randomized Controlled Trial

Bejarano, C. M., Ortega, A., & Cushing, C. C. (2025) · JMIR Formative Research · doi:10.2196/77579

Design of the FRESH-LC study: Caregivers as the agent of change for childhood obesity and chronic disease risk among Latino families

Boutelle, K. N., Eichen, D. M., Manzano, M. A., Crespo, N. C., Rivera‐Íñiguez, I., Castro, E., Strong, D. R., Newell, I., Reed, K., Marquez, B., et al. (2025) · Contemporary Clinical Trials · doi:10.1016/j.cct.2025.108191

Additional file 10 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820835

Additional file 7 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820865

Additional file 3 of Effects of a behavioral intervention on physical activity, diet, and health-related quality of life in pregnant women with elevated weight: results of the HIPP randomized controlled trial

Wilcox, S., Liu, J., Turner‐McGrievy, G. M., Boutté, A. K., & Wingard, E. E. (2023) · Figshare · doi:10.6084/m9.figshare.22606142

Additional file 1 of Exploring preliminary dietary intake results using a novel dietary assessment tool with pregnant participants enrolled in a birth cohort

Santarossa, S., Redding, A., Connell, M. L., Kao, K., Susick, L., & Kerver, J. M. (2024) · Figshare · doi:10.6084/m9.figshare.26675582

Additional file 4 of Plasma and fecal zonulin are not altered by a high green leafy vegetable dietary intervention: secondary analysis of a randomized control crossover trial

Riviere, A. J., Smith, K. S., Schaberg, M. N., Greene, M. W., & Frugé, A. D. (2022) · Figshare · doi:10.6084/m9.figshare.19589193

Additional file 3 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820853

Additional file 3 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality

Schwedhelm, C., Lipsky, L. M., Shearrer, G. E., Betts, G. M., Liu, A., Iqbal, K., Faith, M. S., & Nansel, T. R. (2021) · Figshare · doi:10.6084/m9.figshare.15047502

Additional file 9 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820871

Additional file 1 of Feasibility of a multimodal exercise, nutrition, and palliative care intervention in advanced lung cancer

Ester, M., Culos-Reed, S. N., Abdul‐Razzak, A., Daun, J. T., Duchek, D., Francis, G. J., Bebb, G. D., Black, J., Arlain, A., Gillis, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14006177

Additional file 2 of Feasibility of a multimodal exercise, nutrition, and palliative care intervention in advanced lung cancer

Ester, M., Culos-Reed, S. N., Abdul‐Razzak, A., Daun, J. T., Duchek, D., Francis, G. J., Bebb, G. D., Black, J., Arlain, A., Gillis, C., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14006180

Additional file 8 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820868

Additional file 2 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality

Schwedhelm, C., Lipsky, L. M., Shearrer, G. E., Betts, G. M., Liu, A., Iqbal, K., Faith, M. S., & Nansel, T. R. (2021) · Figshare · doi:10.6084/m9.figshare.15047499

Additional file 1 of The Food, Feelings, and Family Study: comparison of the efficacy of traditional methods, social media, and broadcast email to recruit pregnant women to an observational, longitudinal nutrition study

Smith, R., Alvarez, C., Crixell, S. H., & Lane, M. A. (2021) · Figshare · doi:10.6084/m9.figshare.14211392

Additional file 1 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality

Schwedhelm, C., Lipsky, L. M., Shearrer, G. E., Betts, G. M., Liu, A., Iqbal, K., Faith, M. S., & Nansel, T. R. (2021) · Figshare · doi:10.6084/m9.figshare.15047496

Additional file 1 of Plasma and fecal zonulin are not altered by a high green leafy vegetable dietary intervention: secondary analysis of a randomized control crossover trial

Riviere, A. J., Smith, K. S., Schaberg, M. N., Greene, M. W., & Frugé, A. D. (2022) · Figshare · doi:10.6084/m9.figshare.19589181

Additional file 1 of Effects of a behavioral intervention on physical activity, diet, and health-related quality of life in pregnant women with elevated weight: results of the HIPP randomized controlled trial

Wilcox, S., Liu, J., Turner‐McGrievy, G. M., Boutté, A. K., & Wingard, E. E. (2023) · Figshare · doi:10.6084/m9.figshare.22606136

Additional file 5 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820859

Additional file 3 of The Food, Feelings, and Family Study: comparison of the efficacy of traditional methods, social media, and broadcast email to recruit pregnant women to an observational, longitudinal nutrition study

Smith, R., Alvarez, C., Crixell, S. H., & Lane, M. A. (2021) · Figshare · doi:10.6084/m9.figshare.14211398

Additional file 5 of Plasma and fecal zonulin are not altered by a high green leafy vegetable dietary intervention: secondary analysis of a randomized control crossover trial

Riviere, A. J., Smith, K. S., Schaberg, M. N., Greene, M. W., & Frugé, A. D. (2022) · Figshare · doi:10.6084/m9.figshare.19589199

Additional file 11 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820838

Additional file 2 of The Food, Feelings, and Family Study: comparison of the efficacy of traditional methods, social media, and broadcast email to recruit pregnant women to an observational, longitudinal nutrition study

Smith, R., Alvarez, C., Crixell, S. H., & Lane, M. A. (2021) · Figshare · doi:10.6084/m9.figshare.14211395

Additional file 1 of A case–control study of the association between the gut microbiota and colorectal cancer: exploring the roles of diet, stress, and race

Carson, T. L., Byrd, D. A., Smith, K. S., Carter, D., Gomez, M., Abaskaron, M., Little, R. B., Townsend, S., van Der Pol, W. J., Lefkowitz, E. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25389518

Additional file 3 of Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity

Batsis, J. A., Petersen, C. L., Clark, M. M., Cook, S. B., Kotz, D., Gooding, T., Roderka, M. N., Al-Nimr, R. I., Pidgeon, D., Haedrich, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13566020

Additional file 13 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820844

Additional file 6 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820862

Additional file 4 of Using food network analysis to understand meal patterns in pregnant women with high and low diet quality

Schwedhelm, C., Lipsky, L. M., Shearrer, G. E., Betts, G. M., Liu, A., Iqbal, K., Faith, M. S., & Nansel, T. R. (2021) · Figshare · doi:10.6084/m9.figshare.15047505

Additional file 1 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820847

Additional file 3 of Plasma and fecal zonulin are not altered by a high green leafy vegetable dietary intervention: secondary analysis of a randomized control crossover trial

Riviere, A. J., Smith, K. S., Schaberg, M. N., Greene, M. W., & Frugé, A. D. (2022) · Figshare · doi:10.6084/m9.figshare.19589190

Additional file 4 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820856

Additional file 2 of Automated Self-Administered 24-H Dietary Assessment Tool (ASA24) recalls for parent proxy-reporting of children’s intake (> 4 years of age): a feasibility study

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown‐Stoneman, C. D. G., Omand, J. A., Vanderhout, S., Maguire, J. L., Birken, C. S., & Anderson, L. N. (2021) · Figshare · doi:10.6084/m9.figshare.14773804

Additional file 2 of Plasma and fecal zonulin are not altered by a high green leafy vegetable dietary intervention: secondary analysis of a randomized control crossover trial

Riviere, A. J., Smith, K. S., Schaberg, M. N., Greene, M. W., & Frugé, A. D. (2022) · Figshare · doi:10.6084/m9.figshare.19589184

Additional file 4 of Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity

Batsis, J. A., Petersen, C. L., Clark, M. M., Cook, S. B., Kotz, D., Gooding, T., Roderka, M. N., Al-Nimr, R. I., Pidgeon, D., Haedrich, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13566023

Additional file 1 of Feasibility and acceptability of a technology-based, rural weight management intervention in older adults with obesity

Batsis, J. A., Petersen, C. L., Clark, M. M., Cook, S. B., Kotz, D., Gooding, T., Roderka, M. N., Al-Nimr, R. I., Pidgeon, D., Haedrich, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13566014

Additional file 1 of Automated Self-Administered 24-H Dietary Assessment Tool (ASA24) recalls for parent proxy-reporting of children’s intake (> 4 years of age): a feasibility study

Sharpe, I., Kirkpatrick, S. I., Smith, B. T., Keown‐Stoneman, C. D. G., Omand, J. A., Vanderhout, S., Maguire, J. L., Birken, C. S., & Anderson, L. N. (2021) · Figshare · doi:10.6084/m9.figshare.14773801

Additional file 12 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820841

Additional file 1 of Assessing the relative validity of a web-based self-administered 24-hour dietary recall in a Canadian adolescent’s population

Drapeau, V., Laramée, C., Lafrenière, J., Trottier, C., Brochu, C., Robitaille, J., Lamarche, B., & Lemieux, S. (2024) · Figshare · doi:10.6084/m9.figshare.26082670

Additional file 2 of A case–control study of the association between the gut microbiota and colorectal cancer: exploring the roles of diet, stress, and race

Carson, T. L., Byrd, D. A., Smith, K. S., Carter, D., Gomez, M., Abaskaron, M., Little, R. B., Townsend, S., van Der Pol, W. J., Lefkowitz, E. J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25389940

Additional file 2 of Healthy eating index patterns in adults by sex and age predict cardiometabolic risk factors in a cross-sectional study

Artegoitia, V. M., Krishnan, S., Bonnel, E. L., Stephensen, C. B., Keim, N. L., & Newman, J. W. (2021) · Figshare · doi:10.6084/m9.figshare.14820850

Additional file 2 of Effects of a behavioral intervention on physical activity, diet, and health-related quality of life in pregnant women with elevated weight: results of the HIPP randomized controlled trial

Wilcox, S., Liu, J., Turner‐McGrievy, G. M., Boutté, A. K., & Wingard, E. E. (2023) · Figshare · doi:10.6084/m9.figshare.22606139

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Tousen, Y., Sasaki, N., Kaneda, Y., Shimomura, C., Nishiwaki, N., Oya, H., Fujita, M., Hayashi, M., Ogasawara, K., Fujioka, A., et al. (2025) · Journal of Nutritional Science · doi:10.1017/jns.2025.10031

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Trepka, K. R., Blarigan, E. L. V., Ortega, E. F., Halsey, T. M., Bushman, S. D., Kyaw, T. S., Olson, C., Partipilo, G., Noecker, C. A., Upadhyay, V., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.23.696294

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Li, X., Kong, X., Liu, S., Hou, C., Cui, S., Zhu, X., Guan, Y., Hu, S., Sun, C., & Niu, Y. (2026) · Journal of Advanced Research · doi:10.1016/j.jare.2026.01.016

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Qian, Y., Sorgen, A. A., Steffen, K. J., Heinberg, L. J., Reed, K., Malazarte, A., Fodor, A. A., & Carroll, I. (2026) · Obesity Surgery · doi:10.1007/s11695-025-08474-4 · Cited by 1

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Ash, C., Maldonado, L. E., Yang, T., Eckel, S. P., Toledo‐Corral, C. M., Johnston, J. E., Farzan, S., Dunton, G. F., Breton, C., & Bastain, T. M. (2026) · Nutrition · doi:10.1016/j.nut.2026.113110

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윤, 이., Yun, S., & 오, 경. (2025) · Public Health Weekly Report · doi:10.56786/phwr.2026.19.3.3

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Massara, P., Saab, S., Aghdasi, B., Keown‐Stoneman, C. D. G., Maguire, J. L., Birken, C. S., L’Abbé, M., & Comelli, E. M. (2025) · IEEE International Conference on Collaborative Advances in Software and Computing (CASCON) · doi:10.1109/cascon66301.2025.00027

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Glaser, C., Donzella, B., Spurrier, G. F., Aran, Ö., Linden, M. A., Gunnar, M. R., & Reid, B. M. (2026) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2026.106487

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Blough, K., Rainsberger, K., Freemas, J. A., Carter, S. J., & Baranauskas, M. N. (2026) · International Journal of Sports Physiology and Performance · doi:10.1123/ijspp.2024-0468

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Cai, Y., Lin, A., Kutler, R. B., Lopez-Peña, J. A., Suurna, M. V., Kacker, A., Cheng, B., Kezirian, E. J., Golub, J. S., Jelić, S., et al. (2026) · Sleep And Breathing · doi:10.1007/s11325-026-03597-z

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Wang, S., Bai, C., Li, G., Cui, J., Mao, R., Tian, J., Lv, D., Zhang, T., Liu, Y., Feng, Z., et al. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000004067

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Santos‐Báez, L. S., Kazmi, O., Díaz‐Rizzolo, D. A., Popp, C. J., Manoogian, E. N. C., Panda, S., Cheng, B., & Laferrère, B. (2026) · INQUIRY The Journal of Health Care Organization Provision and Financing · doi:10.1177/00469580261419162

Beyond Nutrients: NOVA-Defined Dietary Patterns in Crohn’s Disease and Healthy Adults

Lewis, A., Ulsamer, T., Franco, L., Gold, S. L., Haskey, N., & Raman, M. (2026) · Nutrients · doi:10.3390/nu18071068

Price Discounts to Promote Supermarket Fruit, Vegetable, and Noncaloric Beverage Intake and Health Outcomes: A Randomized Controlled Trial

Nzesi, A., Tate, C. M., & Geliebter, A. (2026) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2026.156347

Testing the feasibility of blood flow restriction training to enhance the HEALTH benefits of exercise in individuals with type 2 diabetes (BOOST-HEALTH Trial): Study Protocol

Thomson, A. M., McCarthy, S. F., Burr, J. F., Little, J. P., Kebbe, M., & Sénéchal, M. (2026) · PLoS ONE · doi:10.1371/journal.pone.0346176

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Gonzalez, A. M., Townsend, J. R., Sapp, P. A., Edwards, C., Kirby, T. O., Wright, J., Lamendella, R., & Esposito, R. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1783951

Développement d’une approche de prévention nutritionnelle sur-mesure à destination des individus, prenant en compte différentes dimensions de l’alimentation durable

Gazan, R. (2018) · theses.fr (ABES) · doi:10.70675/9dd42a33z013cz442czb5fbzb7abd572b079

Évaluation de l’alimentation en épidémiologie et étude de l’évolution de l’alimentation selon l’environnement socio-économique et la survenue de cancer.

Affret, A. (2017) · theses.fr (ABES) · doi:10.70675/d982e308z5a91z4fc6zb642z665fb82a658d

Psychosocial mediators of a physical activity and dietary intervention in pregnant women with overweight or obesity

Baruth, M., Wilcox, S., Liu, J., & Schlaff, R. A. (2026) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-025-07780-0

Characterizing Oral Microbiome and Periodontal Disease in Oral HPV-Positive (COMP-HPV) individuals with HIV: an observational longitudinal study protocol

Bangera, S. R., Subbiah, R., Govindaraj, S., Ibegbu, C., Reznik, D. A., Read, T. D., Hartman, T. J., Paul, S., Torres-Patarroyo, N., Lymon, K., et al. (2026) · BMC Oral Health · doi:10.1186/s12903-026-08193-x

Combined effectiveness of omega-3 PUFA-rich fish oil supplementation and high-intensity interval training in obesity associated metabolic dysfunction: Protocol for a double-blind, randomized clinical trial

Azari, H., Combs, D., Galindo, S. D. L., Jafarabadi, G. S., Chemitiganti, R., Park, O., Moustaïd‐Moussa, N., Dhanasekara, C. S., & Albracht‐Schulte, K. (2026) · Contemporary Clinical Trials · doi:10.1016/j.cct.2026.108311

A Randomized Pilot Trial of Medically Tailored Meals and Lifestyle Support for Gestational Diabetes: Feasibility, Acceptability, and Implementation ChallengesPreprint

Shields, A. D., Waring, M. E., Murphy, M., Pescatello, L. S., Chun, O. K., Wu, Z. H., Sena, V., Field, C. M., & Kearns, A. D. (2026) · medRxiv · doi:10.64898/2026.04.16.26351041

Study Design and Conceptual Framework of an Observational Study of Food Insecurity and Life's Essential 8 in College Students: The FRESH Study

Martinez, S. M., Chodur, G., Singh, S., Grandner, M. A., McCulloch, C. E., & Bullock, H. E. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.125.045806

Identifying DASH Adherence Patterns and Their Association With Dietary Behaviors Among Adults With Hypertension

Lee, Y., Kay, M. C., Palipana, A., Askew, S., Berger, M. B., Miller, H., Bennett, G. G., & Yang, Q. (2026) · Research in Nursing & Health · doi:10.1002/nur.70078

Acute overfeeding impairs meal-stimulated adipose tissue microvascular blood flow in healthy adults independent of changes in adiposity

Brayner, B., Mason, S. A., Karimi, E., Keske, M. A., Roberts‐Thomson, K. M., Parker, L., Betik, A. C., Thomas, H. J., Way, K. L., Livingstone, K. M., et al. (2026) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00028.2026

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

Kirkpatrick, S. I., Thompson, F. E., Subar, A. F., Douglass, D., Zimmerman, T. P., Kahle, L., George, S. M., & Potischman, N. A. (2013) · The FASEB Journal · doi:10.1096/fasebj.27.1_supplement.230.4 · Cited by 7