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)

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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

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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

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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

Time-restricted eating to improve cardiometabolic health: The New York Time-Restricted EATing randomized clinical trial – Protocol overview

Santos‐Báez, L. S., Garbarini, A., Shaw, D., Cheng, B., Popp, C. J., Manoogian, E. N. C., Panda, S., & Laferrère, B. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.106872 · Cited by 13

Methodological Challenges in Web-Based Qualitative Research With Medically Underserved Populations

Jackson, A., Woo, J., Olson, M., Dalisay, F. S., Pokhrel, P., Muller, C. J., & Okamoto, S. K. (2023) · Journal of Medical Internet Research · doi:10.2196/44086 · Cited by 12

Digital Food Photography: Dietary Surveillance and Beyond

Islam, N. G., Dadabhoy, H., Gillum, A. C., Baranowski, J. C., Zimmerman, T. P., Subar, A. F., & Baranowski, T. (2013) · Procedia Food Science · doi:10.1016/j.profoo.2013.04.019 · Cited by 12

A Potential Tool for Clinicians; Evaluating a Computer-Led Dietary Assessment Method in Overweight and Obese Women during Weight Loss

Widaman, A. M., Keim, N. L., Burnett, D. J., Miller, B. T., Witbracht, M. G., Widaman, K. F., & Laugero, K. D. (2017) · Nutrients · doi:10.3390/nu9030218 · Cited by 14

Prenatal Vitamin D Intake, Cord Blood 25-Hydroxyvitamin D, and Offspring Body Composition: The Healthy Start Study

Sauder, K. A., Koeppen, H. J., Shapiro, A. L. B., Kalata, K. E., Stamatoiu, A. V., Ringham, B. M., Glueck, D. H., Norris, J. M., & Dabelea, D. (2017) · Nutrients · doi:10.3390/nu9070790 · Cited by 13

Successful and unsuccessful weight-loss maintainers: strategies to counteract metabolic compensation following weight loss

Clamp, L. D., Hume, D. J., Lambert, E. V., & Kroff, J. (2018) · Journal of Nutritional Science · doi:10.1017/jns.2018.11 · Cited by 12

“We’re Just Not Prepared for Eating Over Our Whole Life”: A Mixed Methods Approach to Understanding Dietary Behaviors Among Longer Term Cancer Survivors

Klassen, A. C., Smith, K. C., Shuster, M., Coa, K. I., Caulfield, L. E., Helzlsouer, K. J., Peairs, K. S., Shockney, L. D., Stoney, D., & Hannum, S. M. (2017) · Integrative Cancer Therapies · doi:10.1177/1534735417731515 · Cited by 12

Within- and Between-Individual Variation in Nutrient Intake in Children and Adolescents

Ollberding, N. J., Couch, S. C., Woo, J. G., & Kalkwarf, H. J. (2014) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2014.03.016 · Cited by 12

Validation of the European Prospective Investigation into Cancer (EPIC) FFQ for use among adults in Lebanon

Khaled, K., Hundley, V. A., Bassil, M. S., Bazzi, M., & Tsofliou, F. (2021) · Public Health Nutrition · doi:10.1017/s1368980021002123 · Cited by 11

Body composition trajectories from birth to 5 years and hepatic fat in early childhood

Cohen, C. C., Harrall, K. K., Gilley, S. P., Perng, W., Sauder, K. A., Scherzinger, A. L., Shankar, K., Sundaram, S. S., Glueck, D. H., & Dabelea, D. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac168 · Cited by 11

MoveStrong at home: a feasibility study of a model for remote delivery of functional strength and balance training combined with nutrition education for older pre-frail and frail adults

Wang, E., Keller, H., Mourtzakis, M., Rodrigues, I. B., Steinke, A., Ashe, M. C., Thabane, L., Brien, S., Funnell, L., Cheung, A. M., et al. (2022) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2022-0195 · Cited by 12

Insights from consumers' exposure to environmental nutrition information on a dashboard for improving sustainable healthy food choices

Agyemang, P., Kwofie, E. M., Baum, J., & Wang, D. (2024) · Cleaner and Responsible Consumption · doi:10.1016/j.clrc.2024.100241 · Cited by 11

Diet quality and nutrient distribution while using glucagon-like-peptide-1 receptor agonist: A secondary cross-sectional analysis

Johnson, B. V. B., Milstead, M., Green, L., Kreider, R., & Jones, R. (2025) · Obesity Pillars · doi:10.1016/j.obpill.2025.100195 · Cited by 16

Weight resilience and fruit and vegetable intake among African-American women in an obesogenic environment

Parisi, S., Bodnar, L. M., & Dubowitz, T. (2017) · Public Health Nutrition · doi:10.1017/s1368980017002488 · Cited by 13

Strategies for online personalised nutrition advice employed in the development of the eNutri web app

Franco, R. Z., Fallaize, R., Hwang, F., & Lovegrove, J. A. (2018) · Proceedings of The Nutrition Society · doi:10.1017/s0029665118002707 · Cited by 12

Daily Self-Monitoring of Symptoms and Skills Learning in Patients With Borderline Personality Disorder Through a Mobile Phone App: Protocol for a Pragmatic Randomized Controlled Trial

Helweg-Jørgensen, S., Lichtenstein, M. B., Fruzzetti, A. E., Dahl, C. M., & Pedersen, S. S. (2020) · JMIR Research Protocols · doi:10.2196/17737 · Cited by 11

How does a simplified recipe collection procedure in dietary assessment tools affect the food group and nutrient intake distributions of the population

Zhang, L., Boshuizen, H. C., & Ocké, M. C. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520000999 · Cited by 11

Systematic review of electronically delivered behavioral obesity prevention interventions targeting men

Knowlden, A. P., Wilkerson, A. H., Dunlap, K., Stellefson, M., & Elijah, O. A. (2022) · Obesity Reviews · doi:10.1111/obr.13456 · Cited by 16

Nutritional Epidemiology and Dietary Assessment for Patients With Kidney Disease: A Primer

Sullivan, V. K., & Rebholz, C. M. (2023) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2022.11.014 · Cited by 11

Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Weber, K. S., Godkin, F. E., Cornish, B. F., McIlroy, W. E., & Ooteghem, K. V. (2023) · JMIR Formative Research · doi:10.2196/41685 · Cited by 11

Habitual Dietary Intake among Recreational Ultra-Marathon Runners: Role of Macronutrients on Performance

Mahoney, S. E., Carnes, A. J., Wójcicki, T. R., Frith, E., & Ferry, K. (2016) · doi:10.12691/jfnr-4-4-2 · Cited by 11

High intensity interval training does not result in short- or long-term dietary compensation in cardiac rehabilitation: Results from the FITR heart study

Taylor, J. L., Keating, S. E., Holland, D. J., Finlayson, G. D., King, N. A., Gomersall, S. R., Rowlands, A. V., Coombes, J. S., & LEVERITT, M. D. (2020) · Appetite · doi:10.1016/j.appet.2020.105021 · Cited by 11

Dietary assessment in the digital age: the ongoing quest for better methods

McCullough, M. L. (2018) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqx066 · Cited by 11

Gut Microbiome and Metabolome Variations in Self-Identified Muscle Builders Who Report Using Protein Supplements

Byerley, L. O., Gallivan, K. M., Christopher, C. J., Taylor, C. M., Luo, M., Dowd, S. E., Davis, G. M., Castro, H. F., Campagna, S. R., & Ondrak, K. S. (2022) · Nutrients · doi:10.3390/nu14030533 · Cited by 12

Bringing pharmacomicrobiomics to the clinic through well‐designed studies

Steiner, H. E., Patterson, H. K., Giles, J. B., & Karnes, J. H. (2022) · Clinical and Translational Science · doi:10.1111/cts.13381 · Cited by 11

Sustained Sleep Restriction Reduces Resistance Exercise Quality and Quantity in Females

Knowles, O., Drinkwater, E. J., Roberts, S., Alexander, S. E., Abbott, G., GARNHAM, A. P., Lamon, S., & Aisbett, B. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003000 · Cited by 10

The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study

Zsoldos, I., Trân, E., Fournier, H., Tarpin-Bernard, F., Fruitet, J., Fouillen, M., Bailly, G., Elisei, F., Bouchot, B., Constant, P., et al. (2024) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/48129 · Cited by 11

Ingredient-Guided RGB-D Fusion Network for Nutritional Assessment

Feng, Z., Xiong, H., Min, W., Hou, S., Duan, H., Liu, Z., & Jiang, S. (2024) · IEEE Transactions on AgriFood Electronics · doi:10.1109/tafe.2024.3493332 · Cited by 10

Effects of a Digital Intervention to Improve DASH and Blood Pressure Among US Adults

Miller, H., Askew, S., Berger, M. B., Kay, M. C., Palipana, A., Trefney, E., Carr, L. T. B., Barnes, C. N., Tyson, C. C., Svetkey, L. P., et al. (2024) · Hypertension · doi:10.1161/hypertensionaha.124.23887 · Cited by 10

Association between yoga, physiologic and psychologic health: A cross sectional study

Forseth, B. M., Polfuss, M. L., Brondino, M. J., Lawlor, M. W., Beatka, M. J., Prom, M. J., Eells, J. T., & Lyons, J. (2021) · Complementary Therapies in Clinical Practice · doi:10.1016/j.ctcp.2021.101350 · Cited by 11

Feasibility, Acceptability, and Preliminary Validity of Self-Report Dietary Assessment in Adults with Multiple Sclerosis: Comparison with Doubly Labeled Water Measured Total Energy Expenditure

Silveira, S. L., Jeng, B., Gower, B. A., & Motl, R. W. (2021) · Nutrients · doi:10.3390/nu13041198 · Cited by 10

The Effect of Daily Methylsulfonylmethane (MSM) Consumption on High-Density Lipoprotein Cholesterol in Healthy Overweight and Obese Adults: A Randomized Controlled Trial

Miller, L., Thompson, K., Pavlenco, C., Mettu, V. S., Haverkamp, H. C., Skaufel, S., Basit, A., Prasad, B., & Larsen, J. (2021) · Nutrients · doi:10.3390/nu13103620 · Cited by 10

Predicting Perceived Problems in Self-Administered 24-Hour Dietary Recalls: A Quantitative Think-Aloud Study Comparing Automated Self-Assisted 24-Hour Dietary Assessment Tool (ASA24®) and INTAKE24© in University Students

Mackenzie, K., Kerr, D. A., Whitton, C., Talati, Z., McCaffrey, T. A., & Mullan, B. A. (2022) · Nutrients · doi:10.3390/nu14204281 · Cited by 10

Impact of EASO/ESPEN-Defined Sarcopenic Obesity Following a Technology-Based Weight Loss Intervention

Wood, B., Batchek, D. J., Lynch, D. H., Spangler, H., Gross, D. C., Petersen, C. L., & Batsis, J. A. (2023) · Calcified Tissue International · doi:10.1007/s00223-023-01138-4 · Cited by 11

Opportunities for Examining Child Health Impacts of Early-Life Nutrition in the ECHO Program: Maternal and Child Dietary Intake Data from Pregnancy to Adolescence

Bragg, M. G., Westlake, M., Alshawabkeh, A. N., Bekelman, T. A., Camargo, C. A., Catellier, D., Comstock, S. S., Dabelea, D., Dunlop, A. L., Hedderson, M. M., et al. (2023) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2023.102019 · Cited by 10

Towards consistency in dietary pattern scoring: standardising scoring workflows for healthy dietary patterns using 24-h recall and two variations of a food frequency questionnair

Arnoldy, L., Gauci, S., Lassemillante, A. M., Verster, J. C., Macpherson, H., Minihane, A. M., Scholey, A. B., Pipingas, A., & White, D. (2024) · British Journal Of Nutrition · doi:10.1017/s0007114524000072 · Cited by 10

Improvement in the technological feasibility of a web-based dietary survey system in local settings.

Jung, H. J., Lee, S. E., Kim, D. W., Noh, H., Song, S., Kang, M., Song, Y., & Paik, H. Y. (2015) · PubMed · doi:10.6133/apjcn.2015.24.2.20 · Cited by 10

Breakfast Consumption Is Positively Associated with Usual Nutrient Intakes among Food Pantry Clients Living in Rural Communities

Liu, Y., Tooze, J. A., Zhang, Y., Leidy, H. J., Bailey, R. L., Wright, B. N., Ma, M., Stluka, S., Remley, D. T., McCormack, L. A., et al. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz258 · Cited by 10

Effects of Bang® Keto Coffee Energy Drink on Metabolism and Exercise Performance in Resistance-Trained Adults: A Randomized, Double-blind, Placebo-controlled, Crossover Study

Harty, P. S., Stratton, M. T., Escalante, G., Rodriguez, C., Dellinger, J. R., Williams, A. D., White, S. J., SMITH, R. W., Johnson, B. A., Sanders, M. B., et al. (2020) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-020-00374-5 · Cited by 10

A Community-Based Feasibility Study of Weight-Loss in Rural, Older Adults with Obesity

Batsis, J. A., Petersen, C. L., Cook, S. B., Al-Nimr, R. I., Pidgeon, D., MacKenzie, T. A., & Bartels, S. J. (2020) · Journal of Nutrition in Gerontology and Geriatrics · doi:10.1080/21551197.2020.1817226 · Cited by 12

Brief, effective experience to increase first-year medical students’ nutrition awareness

Coleman, M. T., Brantley, P. R., Wiseman, P., English, M. R., & Byerley, L. O. (2021) · Medical Education Online · doi:10.1080/10872981.2021.1896160 · Cited by 10

Dietary Consumption Among Youth with Antipsychotic-Induced Weight Gain and Changes Following Healthy Lifestyle Education

Bussell, K., Reeves, G. M., Hager, E. R., Zhu, S., Correll, C. U., Riddle, M. A., & Sikich, L. (2021) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2020.0173 · Cited by 10

momHealth: A Feasibility Study of a Multi-behavioral Health Intervention for Pregnant and Parenting Adolescent Mothers

Wambach, K. A., Davis, A. M., Nelson, E. L., Snow, K., Yungmeyer, A., Muzzy, R., Romero, K., & Murray, M. (2021) · Kansas Journal of Medicine · doi:10.17161/kjm.vol1414738 · Cited by 10

The Fasting and Shifted Timing (FAST) of Eating Study: A pilot feasibility randomized crossover intervention assessing the acceptability of three different fasting diet approaches

Turner‐McGrievy, G. M., Wirth, M. D., Bernhart, J. A., & Aydin, H. Z. (2022) · Appetite · doi:10.1016/j.appet.2022.106135 · Cited by 13

Improved Wearable Devices for Dietary Assessment Using a New Camera System

Sun, M., Jia, W., Chen, G., Hou, M., Chen, J., & Mao, Z. (2022) · Sensors · doi:10.3390/s22208006 · Cited by 10

Using metabolomics to evaluate food intake

Manach, C., Brennan, L., & Dragsted, L. O. (2014) · Elsevier eBooks · doi:10.1016/b978-1-78242-084-2.00009-5 · Cited by 12

Innovations in national nutrition surveys

Stephen, A. M., Mak, T. N., Fitt, E., Nicholson, S. K., Roberts, C., & Sommerville, J. P. (2013) · Proceedings of The Nutrition Society · doi:10.1017/s0029665112002923 · Cited by 10

Neural Substrates of Food Valuation and Its Relationship With BMI and Healthy Eating in Higher BMI Individuals

Merchant, J. S., Cosme, D., Berkman, E. T., Giuliani, N. R., & Dirks, B. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.578676 · Cited by 9

Detection and characterization of food intake by wearable sensors

Fontana, J. M., Farooq, M., & Sazonov, E. E. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819246-7.00020-6 · Cited by 11

Association Between Cardiovascular Health and Subclinical Atherosclerosis Among Young Adults Using the American Heart Association's “Life's Essential 8” Metrics

Guo, F., Chen, X., Howland, S., Maldonado, L. E., Powell, S., Gauderman, W. J., McConnell, R., Yan, M., Whitfield, L., Li, Y., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.033990 · Cited by 10

Predictive models of post‐prandial glucose response in persons with prediabetes and early onset type 2 diabetes: A pilot study

Santos‐Báez, L. S., Díaz‐Rizzolo, D. A., Borhan, R., Popp, C. J., Sordi‐Guth, A., DeBonis, D., Manoogian, E. N. C., Panda, S., Cheng, B., & Laferrère, B. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16160 · Cited by 9

Associations of diet composition and quality with continuous glucose monitor-derived glycemic metrics in a community-based cohort

Bakhshi, B., Sultana, N., Lin, H., Fei, D., Vallejo, V., Gatanti, A., Steenkamp, D., Murabito, J. M., McKeown, N. M., Walker, M. E., et al. (2025) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2025.07.026 · Cited by 10

Development of the Sleep Module for the Automated Self-Administered 24-Hour (ASA24) Dietary Assessment Tool: New Research Opportunities

Shams‐White, M., O’Connor, L. E., O’Connor, S. G., & Herrick, K. (2022) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2022.06.019 · Cited by 9

Increasing Lifestyle Walking by 3000 Steps per Day Reduces Blood Pressure in Sedentary Older Adults with Hypertension: Results from an e-Health Pilot Study

Lefferts, E. C., Saavedra, J. M., Song, B. K., Brellenthin, A. G., Pescatello, L. S., & Lee, D.-C. (2023) · Journal of Cardiovascular Development and Disease · doi:10.3390/jcdd10080317 · Cited by 9

Longitudinal Pilot Evaluation of the Gut Microbiota Comparing Patients With and Without Chronic Kidney Disease

Pourafshar, S., Sharma, B., Allen, J., Hoang, M., Lee, H., Dressman, H. K., Tyson, C. C., Mallawaarachchi, I. V., Kumar, P., Ma, J. Z., et al. (2024) · Journal of Renal Nutrition · doi:10.1053/j.jrn.2024.01.003 · Cited by 9

The effectiveness of Go/No-Go and Stop-Signal training in reducing food consumption and choice: A systematic review and meta-analysis

McGreen, J., Kemps, E., & Tiggemann, M. (2024) · Appetite · doi:10.1016/j.appet.2024.107215 · Cited by 9

Fibre-rich Foods to Treat Obesity and Prevent Colon Cancer trial study protocol: a randomised clinical trial of fibre-rich legumes targeting the gut microbiome, metabolome and gut transit time of overweight and obese patients with a history of noncancerous adenomatous polyps

Hartman, T. J., Christie, J. A., Wilson, A. S., Ziegler, T. R., Methé, B. A., Flanders, W. D., Rolls, B. J., Eberhart, B. L., Li, J. V., Huneault, H. E., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081379 · Cited by 10

An Image-Recognition Dietary Assessment App for Adolescents With Obesity: Pilot Randomized Controlled Trial

Oei, K., Choi, E., Bar-Dayan, A., Stinson, J., Palmert, M. R., Alfonsi, J., & Hamilton, J. K. (2024) · JMIR Formative Research · doi:10.2196/58682 · Cited by 9

Pilot Test of an Appreciative Inquiry Intervention in Hypertension Self-management

Olayinka, O., Moore, S. M., & Stange, K. C. (2020) · Western Journal of Nursing Research · doi:10.1177/0193945919897077 · Cited by 10

Added sugar intake during pregnancy: Fetal behavior, birth outcomes, and placental DNA methylation

Trumpff, C., Sturm, G., Picard, M. A., Foss, S., Lee, S., Feng, T., Cárdenas, A., McCormack, C. A., Champagne, F. A., & Monk, C. E. (2021) · Developmental Psychobiology · doi:10.1002/dev.22088 · Cited by 9

The Accuracy of Portion Size Reporting on Self-Administered Online 24-Hour Dietary Recalls Among Women With Low Incomes

Kirkpatrick, S. I., Guenther, P. M., Durward, C. M., Douglass, D., Zimmerman, T. P., Kahle, L., Atoloye, A. T., Marcinow, M. L., Savoie‐Roskos, M. R., Herrick, K., et al. (2022) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2022.03.018 · Cited by 9

Encouraging older adults with pre-frailty and frailty to “MoveStrong”: an analysis of secondary outcomes for a pilot randomized controlled trial

Rodrigues, I. B., Wagler, J. B., Keller, H., Thabane, L., Weston, Z. J., Straus, S. E., Παπαϊωάννου, Α., Mourtzakis, M., Milligan, J., Isaranuwatchai, W., et al. (2022) · Health Promotion and Chronic Disease Prevention in Canada · doi:10.24095/hpcdp.42.6.02 · Cited by 9

Validation of a computer-based analysis tool for real-time dietary assessment within a Ghanaian region

Wald, J. P., Asare, E., Nakua, E. K., Nöhr, D., Lambert, C., Riedel, S., Gola, U., & Biesalski, H. K. (2019) · NFS Journal · doi:10.1016/j.nfs.2019.06.002 · Cited by 9

Dynamic Interplay between Social Brain Development and Nutrient Intake in Young Children

Kanellopoulos, A. K., Costello, S., Mainardi, F., Koshibu, K., Deoni, S., & Schneider, N. (2023) · Nutrients · doi:10.3390/nu15173754 · Cited by 10

Elevated Inflammation and Poor Diet Quality Associated with Lower eGFR in United States Adults: An NHANES 2015–2018 Analysis

Zarah, A. B., & Andrade, J. (2024) · Nutrients · doi:10.3390/nu16040528 · Cited by 8

Short-term high-calorie high-fat feeding induces hyperinsulinemia and blunts skeletal muscle microvascular blood flow in healthy humans

Brayner, B., Keske, M. A., Roberts‐Thomson, K. M., Parker, L., Betik, A. C., Thomas, H. J., Mason, S. A., Way, K. L., Livingstone, K. M., Hamilton, D. L., et al. (2024) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00070.2024 · Cited by 8

The impact of exercise on food-related inhibitory control— do calories, time of day, and BMI matter? Evidence from an event-related potential (ERP) study

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Time-restricted eating for prevention of age-related vascular cognitive decline in older adults: A protocol for a single-arm open-label interventional trial

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